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Edge computing
Configure and deploy OpenShift Container Platform clusters at the network edge
Abstract
Chapter 1. Challenges of the network far edge Copiar enlaceEnlace copiado en el portapapeles!
Edge computing presents complex challenges when managing many sites in geographically displaced locations. Use GitOps Zero Touch Provisioning (ZTP) to provision and manage sites at the far edge of the network.
1.1. Overcoming the challenges of the network far edge Copiar enlaceEnlace copiado en el portapapeles!
Today, service providers want to deploy their infrastructure at the edge of the network. This presents significant challenges:
- How do you handle deployments of many edge sites in parallel?
- What happens when you need to deploy sites in disconnected environments?
- How do you manage the lifecycle of large fleets of clusters?
GitOps Zero Touch Provisioning (ZTP) and GitOps meets these challenges by allowing you to provision remote edge sites at scale with declarative site definitions and configurations for bare-metal equipment. Template or overlay configurations install OpenShift Container Platform features that are required for CNF workloads. The full lifecycle of installation and upgrades is handled through the GitOps ZTP pipeline.
GitOps ZTP uses GitOps for infrastructure deployments. With GitOps, you use declarative YAML files and other defined patterns stored in Git repositories. Red Hat Advanced Cluster Management (RHACM) uses your Git repositories to drive the deployment of your infrastructure.
GitOps provides traceability, role-based access control (RBAC), and a single source of truth for the desired state of each site. Scalability issues are addressed by Git methodologies and event driven operations through webhooks.
You start the GitOps ZTP workflow by creating declarative site definition and configuration custom resources (CRs) that the GitOps ZTP pipeline delivers to the edge nodes.
The following diagram shows how GitOps ZTP works within the far edge framework.
1.2. Using GitOps ZTP to provision clusters at the network far edge Copiar enlaceEnlace copiado en el portapapeles!
Red Hat Advanced Cluster Management (RHACM) manages clusters in a hub-and-spoke architecture, where a single hub cluster manages many spoke clusters. Hub clusters running RHACM provision and deploy the managed clusters by using GitOps Zero Touch Provisioning (ZTP) and the assisted service that is deployed when you install RHACM.
The assisted service handles provisioning of OpenShift Container Platform on single node clusters, three-node clusters, or standard clusters running on bare metal.
A high-level overview of using GitOps ZTP to provision and maintain bare-metal hosts with OpenShift Container Platform is as follows:
- A hub cluster running RHACM manages an OpenShift image registry that mirrors the OpenShift Container Platform release images. RHACM uses the OpenShift image registry to provision the managed clusters.
- You manage the bare-metal hosts in a YAML format inventory file, versioned in a Git repository.
- You make the hosts ready for provisioning as managed clusters, and use RHACM and the assisted service to install the bare-metal hosts on site.
Installing and deploying the clusters is a two-stage process, involving an initial installation phase, and a subsequent configuration and deployment phase. The following diagram illustrates this workflow:
1.3. Installing managed clusters with SiteConfig resources and RHACM Copiar enlaceEnlace copiado en el portapapeles!
GitOps Zero Touch Provisioning (ZTP) uses SiteConfig custom resources (CRs) in a Git repository to manage the processes that install OpenShift Container Platform clusters. The SiteConfig CR contains cluster-specific parameters required for installation. It has options for applying select configuration CRs during installation including user defined extra manifests.
The GitOps ZTP plugin processes SiteConfig CRs to generate a collection of CRs on the hub cluster. This triggers the assisted service in Red Hat Advanced Cluster Management (RHACM) to install OpenShift Container Platform on the bare-metal host. You can find installation status and error messages in these CRs on the hub cluster.
You can provision single clusters manually or in batches with GitOps ZTP:
- Provisioning a single cluster
-
Create a single
SiteConfigCR and related installation and configuration CRs for the cluster, and apply them in the hub cluster to begin cluster provisioning. This is a good way to test your CRs before deploying on a larger scale. - Provisioning many clusters
-
Install managed clusters in batches of up to 400 by defining
SiteConfigand related CRs in a Git repository. ArgoCD uses theSiteConfigCRs to deploy the sites. The RHACM policy generator creates the manifests and applies them to the hub cluster. This starts the cluster provisioning process.
1.4. Configuring managed clusters with policies and PolicyGenTemplate resources Copiar enlaceEnlace copiado en el portapapeles!
GitOps Zero Touch Provisioning (ZTP) uses Red Hat Advanced Cluster Management (RHACM) to configure clusters by using a policy-based governance approach to applying the configuration.
The policy generator or PolicyGen is a plugin for the GitOps Operator that enables the creation of RHACM policies from a concise template. The tool can combine multiple CRs into a single policy, and you can generate multiple policies that apply to various subsets of clusters in your fleet.
For scalability and to reduce the complexity of managing configurations across the fleet of clusters, use configuration CRs with as much commonality as possible.
- Where possible, apply configuration CRs using a fleet-wide common policy.
- The next preference is to create logical groupings of clusters to manage as much of the remaining configurations as possible under a group policy.
- When a configuration is unique to an individual site, use RHACM templating on the hub cluster to inject the site-specific data into a common or group policy. Alternatively, apply an individual site policy for the site.
The following diagram shows how the policy generator interacts with GitOps and RHACM in the configuration phase of cluster deployment.
For large fleets of clusters, it is typical for there to be a high-level of consistency in the configuration of those clusters.
The following recommended structuring of policies combines configuration CRs to meet several goals:
- Describe common configurations once and apply to the fleet.
- Minimize the number of maintained and managed policies.
- Support flexibility in common configurations for cluster variants.
| Policy category | Description |
|---|---|
| Common |
A policy that exists in the common category is applied to all clusters in the fleet. Use common |
| Groups |
A policy that exists in the groups category is applied to a group of clusters in the fleet. Use group |
| Sites | A policy that exists in the sites category is applied to a specific cluster site. Any cluster can have its own specific policies maintained. |
Chapter 2. Preparing the hub cluster for ZTP Copiar enlaceEnlace copiado en el portapapeles!
To use RHACM in a disconnected environment, create a mirror registry that mirrors the OpenShift Container Platform release images and Operator Lifecycle Manager (OLM) catalog that contains the required Operator images. OLM manages, installs, and upgrades Operators and their dependencies in the cluster. You can also use a disconnected mirror host to serve the RHCOS ISO and RootFS disk images that are used to provision the bare-metal hosts.
2.1. Telco RAN DU 4.15 validated software components Copiar enlaceEnlace copiado en el portapapeles!
The Red Hat telco RAN DU 4.15 solution has been validated using the following Red Hat software products for OpenShift Container Platform managed clusters and hub clusters.
| Component | Software version |
|---|---|
| Managed cluster version | 4.15 |
| Cluster Logging Operator | 5.8 |
| Local Storage Operator | 4.15 |
| PTP Operator | 4.15 |
| SRIOV Operator | 4.15 |
| Node Tuning Operator | 4.15 |
| Logging Operator | 4.15 |
| SRIOV-FEC Operator | 2.8 |
| Component | Software version |
|---|---|
| Hub cluster version | 4.15 |
| GitOps ZTP plugin | 4.15 |
| Red Hat Advanced Cluster Management (RHACM) | 2.9, 2.10 |
| Red Hat OpenShift GitOps | 1.16 |
| Topology Aware Lifecycle Manager (TALM) | 4.15 |
2.2. Recommended hub cluster specifications and managed cluster limits for GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
With GitOps Zero Touch Provisioning (ZTP), you can manage thousands of clusters in geographically dispersed regions and networks. The Red Hat Performance and Scale lab successfully created and managed 3500 virtual single-node OpenShift clusters with a reduced DU profile from a single Red Hat Advanced Cluster Management (RHACM) hub cluster in a lab environment.
In real-world situations, the scaling limits for the number of clusters that you can manage will vary depending on various factors affecting the hub cluster. For example:
- Hub cluster resources
- Available hub cluster host resources (CPU, memory, storage) are an important factor in determining how many clusters the hub cluster can manage. The more resources allocated to the hub cluster, the more managed clusters it can accommodate.
- Hub cluster storage
- The hub cluster host storage IOPS rating and whether the hub cluster hosts use NVMe storage can affect hub cluster performance and the number of clusters it can manage.
- Network bandwidth and latency
- Slow or high-latency network connections between the hub cluster and managed clusters can impact how the hub cluster manages multiple clusters.
- Managed cluster size and complexity
- The size and complexity of the managed clusters also affects the capacity of the hub cluster. Larger managed clusters with more nodes, namespaces, and resources require additional processing and management resources. Similarly, clusters with complex configurations such as the RAN DU profile or diverse workloads can require more resources from the hub cluster.
- Number of managed policies
- The number of policies managed by the hub cluster scaled over the number of managed clusters bound to those policies is an important factor that determines how many clusters can be managed.
- Monitoring and management workloads
- RHACM continuously monitors and manages the managed clusters. The number and complexity of monitoring and management workloads running on the hub cluster can affect its capacity. Intensive monitoring or frequent reconciliation operations can require additional resources, potentially limiting the number of manageable clusters.
- RHACM version and configuration
- Different versions of RHACM can have varying performance characteristics and resource requirements. Additionally, the configuration settings of RHACM, such as the number of concurrent reconciliations or the frequency of health checks, can affect the managed cluster capacity of the hub cluster.
Use the following representative configuration and network specifications to develop your own Hub cluster and network specifications.
The following guidelines are based on internal lab benchmark testing only and do not represent complete bare-metal host specifications.
| Requirement | Description |
|---|---|
| Server hardware | 3 x Dell PowerEdge R650 rack servers |
| NVMe hard disks |
|
| SSD hard disks |
|
| Number of applied DU profile policies | 5 |
The following network specifications are representative of a typical real-world RAN network and were applied to the scale lab environment during testing.
| Specification | Description |
|---|---|
| Round-trip time (RTT) latency | 50 ms |
| Packet loss | 0.02% packet loss |
| Network bandwidth limit | 20 Mbps |
2.3. Installing GitOps ZTP in a disconnected environment Copiar enlaceEnlace copiado en el portapapeles!
Use Red Hat Advanced Cluster Management (RHACM), Red Hat OpenShift GitOps, and Topology Aware Lifecycle Manager (TALM) on the hub cluster in the disconnected environment to manage the deployment of multiple managed clusters.
Prerequisites
-
You have installed the OpenShift Container Platform CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. You have configured a disconnected mirror registry for use in the cluster.
NoteThe disconnected mirror registry that you create must contain a version of TALM backup and pre-cache images that matches the version of TALM running in the hub cluster. The spoke cluster must be able to resolve these images in the disconnected mirror registry.
Procedure
- Install RHACM in the hub cluster. See Installing RHACM in a disconnected environment.
- Install GitOps and TALM in the hub cluster.
2.4. Adding RHCOS ISO and RootFS images to the disconnected mirror host Copiar enlaceEnlace copiado en el portapapeles!
Before you begin installing clusters in the disconnected environment with Red Hat Advanced Cluster Management (RHACM), you must first host Red Hat Enterprise Linux CoreOS (RHCOS) images for it to use. Use a disconnected mirror to host the RHCOS images.
Prerequisites
- Deploy and configure an HTTP server to host the RHCOS image resources on the network. You must be able to access the HTTP server from your computer, and from the machines that you create.
The RHCOS images might not change with every release of OpenShift Container Platform. You must download images with the highest version that is less than or equal to the version that you install. Use the image versions that match your OpenShift Container Platform version if they are available. You require ISO and RootFS images to install RHCOS on the hosts. RHCOS QCOW2 images are not supported for this installation type.
Procedure
- Log in to the mirror host.
Obtain the RHCOS ISO and RootFS images from mirror.openshift.com, for example:
Export the required image names and OpenShift Container Platform version as environment variables:
$ export ISO_IMAGE_NAME=<iso_image_name>1 $ export ROOTFS_IMAGE_NAME=<rootfs_image_name>1 $ export OCP_VERSION=<ocp_version>1 Download the required images:
$ sudo wget https://mirror.openshift.com/pub/openshift-v4/dependencies/rhcos/4.15/${OCP_VERSION}/${ISO_IMAGE_NAME} -O /var/www/html/${ISO_IMAGE_NAME}$ sudo wget https://mirror.openshift.com/pub/openshift-v4/dependencies/rhcos/4.15/${OCP_VERSION}/${ROOTFS_IMAGE_NAME} -O /var/www/html/${ROOTFS_IMAGE_NAME}
Verification steps
Verify that the images downloaded successfully and are being served on the disconnected mirror host, for example:
$ wget http://$(hostname)/${ISO_IMAGE_NAME}Example output
Saving to: rhcos-4.15.1-x86_64-live.x86_64.iso rhcos-4.15.1-x86_64-live.x86_64.iso- 11%[====> ] 10.01M 4.71MB/s
2.5. Enabling the assisted service Copiar enlaceEnlace copiado en el portapapeles!
Red Hat Advanced Cluster Management (RHACM) uses the assisted service to deploy OpenShift Container Platform clusters. The assisted service is deployed automatically when you enable the MultiClusterHub Operator on Red Hat Advanced Cluster Management (RHACM). After that, you need to configure the Provisioning resource to watch all namespaces and to update the AgentServiceConfig custom resource (CR) with references to the ISO and RootFS images that are hosted on the mirror registry HTTP server.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have RHACM with MultiClusterHub enabled.
Procedure
-
Enable the
Provisioningresource to watch all namespaces and configure mirrors for disconnected environments. For more information, see Enabling the central infrastructure management service. Update the
AgentServiceConfigCR by running the following command:$ oc edit AgentServiceConfigAdd the following entry to the
items.spec.osImagesfield in the CR:- cpuArchitecture: x86_64 openshiftVersion: "4.15" rootFSUrl: https://<host>/<path>/rhcos-live-rootfs.x86_64.img url: https://<host>/<path>/rhcos-live.x86_64.isowhere:
- <host>
- Is the fully qualified domain name (FQDN) for the target mirror registry HTTP server.
- <path>
- Is the path to the image on the target mirror registry.
Save and quit the editor to apply the changes.
2.6. Configuring the hub cluster to use a disconnected mirror registry Copiar enlaceEnlace copiado en el portapapeles!
You can configure the hub cluster to use a disconnected mirror registry for a disconnected environment.
Prerequisites
- You have a disconnected hub cluster installation with Red Hat Advanced Cluster Management (RHACM) 2.9 installed.
-
You have hosted the
rootfsandisoimages on an HTTP server. See the Additional resources section for guidance about Mirroring the OpenShift Container Platform image repository.
If you enable TLS for the HTTP server, you must confirm the root certificate is signed by an authority trusted by the client and verify the trusted certificate chain between your OpenShift Container Platform hub and managed clusters and the HTTP server. Using a server configured with an untrusted certificate prevents the images from being downloaded to the image creation service. Using untrusted HTTPS servers is not supported.
Procedure
Create a
ConfigMapcontaining the mirror registry config:apiVersion: v1 kind: ConfigMap metadata: name: assisted-installer-mirror-config namespace: multicluster-engine1 labels: app: assisted-service data: ca-bundle.crt: |2 -----BEGIN CERTIFICATE----- <certificate_contents> -----END CERTIFICATE----- registries.conf: |3 unqualified-search-registries = ["registry.access.redhat.com", "docker.io"] [[registry]] prefix = "" location = "quay.io/example-repository"4 mirror-by-digest-only = true [[registry.mirror]] location = "mirror1.registry.corp.com:5000/example-repository"5 - 1
- The
ConfigMapnamespace must be set tomulticluster-engine. - 2
- The mirror registry’s certificate that is used when creating the mirror registry.
- 3
- The configuration file for the mirror registry. The mirror registry configuration adds mirror information to the
/etc/containers/registries.conffile in the discovery image. The mirror information is stored in theimageContentSourcessection of theinstall-config.yamlfile when the information is passed to the installation program. The Assisted Service pod that runs on the hub cluster fetches the container images from the configured mirror registry. - 4
- The URL of the mirror registry. You must use the URL from the
imageContentSourcessection by running theoc adm release mirrorcommand when you configure the mirror registry. For more information, see the Mirroring the OpenShift Container Platform image repository section. - 5
- The registries defined in the
registries.conffile must be scoped by repository, not by registry. In this example, both thequay.io/example-repositoryand themirror1.registry.corp.com:5000/example-repositoryrepositories are scoped by theexample-repositoryrepository.
This updates
mirrorRegistryRefin theAgentServiceConfigcustom resource, as shown below:Example output
apiVersion: agent-install.openshift.io/v1beta1 kind: AgentServiceConfig metadata: name: agent namespace: multicluster-engine1 spec: databaseStorage: volumeName: <db_pv_name> accessModes: - ReadWriteOnce resources: requests: storage: <db_storage_size> filesystemStorage: volumeName: <fs_pv_name> accessModes: - ReadWriteOnce resources: requests: storage: <fs_storage_size> mirrorRegistryRef: name: assisted-installer-mirror-config2 osImages: - openshiftVersion: <ocp_version>3 url: <iso_url>4 - 1
- Set the
AgentServiceConfignamespace tomulticluster-engineto match theConfigMapnamespace. - 2
- Set
mirrorRegistryRef.nameto match the definition specified in the relatedConfigMapCR. - 3
- Set the OpenShift Container Platform version to either the x.y or x.y.z format.
- 4
- Set the URL for the ISO hosted on the
httpdserver.
A valid NTP server is required during cluster installation. Ensure that a suitable NTP server is available and can be reached from the installed clusters through the disconnected network.
2.7. Configuring the hub cluster to use unauthenticated registries Copiar enlaceEnlace copiado en el portapapeles!
You can configure the hub cluster to use unauthenticated registries. Unauthenticated registries does not require authentication to access and download images.
Prerequisites
- You have installed and configured a hub cluster and installed Red Hat Advanced Cluster Management (RHACM) on the hub cluster.
- You have installed the OpenShift Container Platform CLI (oc).
-
You have logged in as a user with
cluster-adminprivileges. - You have configured an unauthenticated registry for use with the hub cluster.
Procedure
Update the
AgentServiceConfigcustom resource (CR) by running the following command:$ oc edit AgentServiceConfig agentAdd the
unauthenticatedRegistriesfield in the CR:apiVersion: agent-install.openshift.io/v1beta1 kind: AgentServiceConfig metadata: name: agent spec: unauthenticatedRegistries: - example.registry.com - example.registry2.com ...Unauthenticated registries are listed under
spec.unauthenticatedRegistriesin theAgentServiceConfigresource. Any registry on this list is not required to have an entry in the pull secret used for the spoke cluster installation.assisted-servicevalidates the pull secret by making sure it contains the authentication information for every image registry used for installation.
Mirror registries are automatically added to the ignore list and do not need to be added under spec.unauthenticatedRegistries. Specifying the PUBLIC_CONTAINER_REGISTRIES environment variable in the ConfigMap overrides the default values with the specified value. The PUBLIC_CONTAINER_REGISTRIES defaults are quay.io and registry.svc.ci.openshift.org.
Verification
Verify that you can access the newly added registry from the hub cluster by running the following commands:
Open a debug shell prompt to the hub cluster:
$ oc debug node/<node_name>Test access to the unauthenticated registry by running the following command:
sh-4.4# podman login -u kubeadmin -p $(oc whoami -t) <unauthenticated_registry>where:
- <unauthenticated_registry>
-
Is the new registry, for example,
unauthenticated-image-registry.openshift-image-registry.svc:5000.
Example output
Login Succeeded!
2.8. Configuring the hub cluster with ArgoCD Copiar enlaceEnlace copiado en el portapapeles!
You can configure the hub cluster with a set of ArgoCD applications that generate the required installation and policy custom resources (CRs) for each site with GitOps Zero Touch Provisioning (ZTP).
Red Hat Advanced Cluster Management (RHACM) uses SiteConfig CRs to generate the Day 1 managed cluster installation CRs for ArgoCD. Each ArgoCD application can manage a maximum of 300 SiteConfig CRs.
Prerequisites
- You have a OpenShift Container Platform hub cluster with Red Hat Advanced Cluster Management (RHACM) and Red Hat OpenShift GitOps installed.
-
You have extracted the reference deployment from the GitOps ZTP plugin container as described in the "Preparing the GitOps ZTP site configuration repository" section. Extracting the reference deployment creates the
out/argocd/deploymentdirectory referenced in the following procedure.
Procedure
Prepare the ArgoCD pipeline configuration:
- Create a Git repository with the directory structure similar to the example directory. For more information, see "Preparing the GitOps ZTP site configuration repository".
Configure access to the repository using the ArgoCD UI. Under Settings configure the following:
-
Repositories - Add the connection information. The URL must end in
.git, for example,https://repo.example.com/repo.gitand credentials. - Certificates - Add the public certificate for the repository, if needed.
-
Repositories - Add the connection information. The URL must end in
Modify the two ArgoCD applications,
out/argocd/deployment/clusters-app.yamlandout/argocd/deployment/policies-app.yaml, based on your Git repository:-
Update the URL to point to the Git repository. The URL ends with
.git, for example,https://repo.example.com/repo.git. -
The
targetRevisionindicates which Git repository branch to monitor. -
pathspecifies the path to theSiteConfigandPolicyGenTemplateCRs, respectively.
-
Update the URL to point to the Git repository. The URL ends with
To install the GitOps ZTP plugin, patch the ArgoCD instance in the hub cluster with the relevant multicluster engine (MCE) subscription image. Customize the patch file that you previously extracted into the
out/argocd/deployment/directory for your environment.Select the
multicluster-operators-subscriptionimage that matches your RHACM version.-
For RHACM 2.8 and 2.9, use the
registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel8:v<rhacm_version>image. -
For RHACM 2.10 and later, use the
registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel9:v<rhacm_version>image.
ImportantThe version of the
multicluster-operators-subscriptionimage must match the RHACM version. Beginning with the MCE 2.10 release, RHEL 9 is the base image formulticluster-operators-subscriptionimages.Click
[Expand for Operator list]in the "Platform Aligned Operators" table in OpenShift Operator Life Cycles to view the complete supported Operators matrix for OpenShift Container Platform.-
For RHACM 2.8 and 2.9, use the
Add the following configuration to the
out/argocd/deployment/argocd-openshift-gitops-patch.jsonfile:{ "args": [ "-c", "mkdir -p /.config/kustomize/plugin/policy.open-cluster-management.io/v1/policygenerator && cp /policy-generator/PolicyGenerator-not-fips-compliant /.config/kustomize/plugin/policy.open-cluster-management.io/v1/policygenerator/PolicyGenerator"1 ], "command": [ "/bin/bash" ], "image": "registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel9:v2.10",2 3 "name": "policy-generator-install", "imagePullPolicy": "Always", "volumeMounts": [ { "mountPath": "/.config", "name": "kustomize" } ] }- 1
- Optional: For RHEL 9 images, copy the required universal executable in the
/policy-generator/PolicyGenerator-not-fips-compliantfolder for the ArgoCD version. - 2
- Match the
multicluster-operators-subscriptionimage to the RHACM version. - 3
- In disconnected environments, replace the URL for the
multicluster-operators-subscriptionimage with the disconnected registry equivalent for your environment.
Patch the ArgoCD instance. Run the following command:
$ oc patch argocd openshift-gitops \ -n openshift-gitops --type=merge \ --patch-file out/argocd/deployment/argocd-openshift-gitops-patch.json
In RHACM 2.7 and later, the multicluster engine enables the
cluster-proxy-addonfeature by default. Apply the following patch to disable thecluster-proxy-addonfeature and remove the relevant hub cluster and managed pods that are responsible for this add-on. Run the following command:$ oc patch multiclusterengines.multicluster.openshift.io multiclusterengine --type=merge --patch-file out/argocd/deployment/disable-cluster-proxy-addon.jsonApply the pipeline configuration to your hub cluster by running the following command:
$ oc apply -k out/argocd/deploymentOptional: If you have existing ArgoCD applications, verify that the
PrunePropagationPolicy=backgroundpolicy is set in theApplicationresource by running the following command:$ oc -n openshift-gitops get applications.argoproj.io \ clusters -o jsonpath='{.spec.syncPolicy.syncOptions}' |jqExample output for an existing policy
[ "CreateNamespace=true", "PrunePropagationPolicy=background", "RespectIgnoreDifferences=true" ]If the
spec.syncPolicy.syncOptionfield does not contain aPrunePropagationPolicyparameter orPrunePropagationPolicyis set to theforegroundvalue, set the policy tobackgroundin theApplicationresource. See the following example:kind: Application spec: syncPolicy: syncOptions: - PrunePropagationPolicy=background
Setting the
backgrounddeletion policy ensures that theManagedClusterCR and all its associated resources are deleted.
2.9. Preparing the GitOps ZTP site configuration repository Copiar enlaceEnlace copiado en el portapapeles!
Before you can use the GitOps Zero Touch Provisioning (ZTP) pipeline, you need to prepare the Git repository to host the site configuration data.
Prerequisites
- You have configured the hub cluster GitOps applications for generating the required installation and policy custom resources (CRs).
- You have deployed the managed clusters using GitOps ZTP.
Procedure
Create a directory structure with separate paths for the
SiteConfigandPolicyGenTemplateCRs.NoteKeep
SiteConfigandPolicyGenTemplateCRs in separate directories. Both theSiteConfigandPolicyGenTemplatedirectories must contain akustomization.yamlfile that explicitly includes the files in that directory.Export the
argocddirectory from theztp-site-generatecontainer image using the following commands:$ podman pull registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15$ mkdir -p ./out$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 extract /home/ztp --tar | tar x -C ./outCheck that the
outdirectory contains the following subdirectories:-
out/extra-manifestcontains the source CR files thatSiteConfiguses to generate extra manifestconfigMap. -
out/source-crscontains the source CR files thatPolicyGenTemplateuses to generate the Red Hat Advanced Cluster Management (RHACM) policies. -
out/argocd/deploymentcontains patches and YAML files to apply on the hub cluster for use in the next step of this procedure. -
out/argocd/examplecontains the examples forSiteConfigandPolicyGenTemplatefiles that represent the recommended configuration.
-
-
Copy the
out/source-crsfolder and contents to thePolicyGentemplatedirectory. The out/extra-manifests directory contains the reference manifests for a RAN DU cluster. Copy the
out/extra-manifestsdirectory into theSiteConfigfolder. This directory should contain CRs from theztp-site-generatecontainer only. Do not add user-provided CRs here. If you want to work with user-provided CRs you must create another directory for that content. For example:example/ ├── policygentemplates │ ├── kustomization.yaml │ └── source-crs/ └── siteconfig ├── extra-manifests └── kustomization.yaml-
Commit the directory structure and the
kustomization.yamlfiles and push to your Git repository. The initial push to Git should include thekustomization.yamlfiles.
You can use the directory structure under out/argocd/example as a reference for the structure and content of your Git repository. That structure includes SiteConfig and PolicyGenTemplate reference CRs for single-node, three-node, and standard clusters. Remove references to cluster types that you are not using.
For all cluster types, you must:
-
Add the
source-crssubdirectory to thepolicygentemplatedirectory. -
Add the
extra-manifestsdirectory to thesiteconfigdirectory.
The following example describes a set of CRs for a network of single-node clusters:
example/
├── policygentemplates
│ ├── common-ranGen.yaml
│ ├── example-sno-site.yaml
│ ├── group-du-sno-ranGen.yaml
│ ├── group-du-sno-validator-ranGen.yaml
│ ├── kustomization.yaml
│ ├── source-crs/
│ └── ns.yaml
└── siteconfig
├── example-sno.yaml
├── extra-manifests/
├── custom-manifests/
├── KlusterletAddonConfigOverride.yaml
└── kustomization.yaml
2.9.1. Preparing the GitOps ZTP site configuration repository for version independence Copiar enlaceEnlace copiado en el portapapeles!
You can use GitOps ZTP to manage source custom resources (CRs) for managed clusters that are running different versions of OpenShift Container Platform. This means that the version of OpenShift Container Platform running on the hub cluster can be independent of the version running on the managed clusters.
Procedure
-
Create a directory structure with separate paths for the
SiteConfigandPolicyGenTemplateCRs. Within the
PolicyGenTemplatedirectory, create a directory for each OpenShift Container Platform version you want to make available. For each version, create the following resources:-
kustomization.yamlfile that explicitly includes the files in that directory source-crsdirectory to contain reference CR configuration files from theztp-site-generatecontainerIf you want to work with user-provided CRs, you must create a separate directory for them.
-
In the
/siteconfigdirectory, create a subdirectory for each OpenShift Container Platform version you want to make available. For each version, create at least one directory for reference CRs to be copied from the container. There is no restriction on the naming of directories or on the number of reference directories. If you want to work with custom manifests, you must create a separate directory for them.The following example describes a structure using user-provided manifests and CRs for different versions of OpenShift Container Platform:
├── policygentemplates │ ├── kustomization.yaml1 │ ├── version_4.132 │ │ ├── common-ranGen.yaml │ │ ├── group-du-sno-ranGen.yaml │ │ ├── group-du-sno-validator-ranGen.yaml │ │ ├── helix56-v413.yaml │ │ ├── kustomization.yaml3 │ │ ├── ns.yaml │ │ └── source-crs/4 │ │ └── reference-crs/5 │ │ └── custom-crs/6 │ └── version_4.147 │ ├── common-ranGen.yaml │ ├── group-du-sno-ranGen.yaml │ ├── group-du-sno-validator-ranGen.yaml │ ├── helix56-v414.yaml │ ├── kustomization.yaml8 │ ├── ns.yaml │ └── source-crs/9 │ └── reference-crs/10 │ └── custom-crs/11 └── siteconfig ├── kustomization.yaml ├── version_4.13 │ ├── helix56-v413.yaml │ ├── kustomization.yaml │ ├── extra-manifest/12 │ └── custom-manifest/13 └── version_4.14 ├── helix57-v414.yaml ├── kustomization.yaml ├── extra-manifest/14 └── custom-manifest/15 - 1
- Create a top-level
kustomizationYAML file. - 2 7
- Create the version-specific directories within the custom
/policygentemplatesdirectory. - 3 8
- Create a
kustomization.yamlfile for each version. - 4 9
- Create a
source-crsdirectory for each version to contain reference CRs from theztp-site-generatecontainer. - 5 10
- Create the
reference-crsdirectory for policy CRs that are extracted from the ZTP container. - 6 11
- Optional: Create a
custom-crsdirectory for user-provided CRs. - 12 14
- Create a directory within the custom
/siteconfigdirectory to contain extra manifests from theztp-site-generatecontainer. - 13 15
- Create a folder to hold user-provided manifests.
NoteIn the previous example, each version subdirectory in the custom
/siteconfigdirectory contains two further subdirectories, one containing the reference manifests copied from the container, the other for custom manifests that you provide. The names assigned to those directories are examples. If you use user-provided CRs, the last directory listed underextraManifests.searchPathsin theSiteConfigCR must be the directory containing user-provided CRs.Edit the
SiteConfigCR to include the search paths of any directories you have created. The first directory that is listed underextraManifests.searchPathsmust be the directory containing the reference manifests. Consider the order in which the directories are listed. In cases where directories contain files with the same name, the file in the final directory takes precedence.Example SiteConfig CR
extraManifests: searchPaths: - extra-manifest/1 - custom-manifest/2 Edit the top-level
kustomization.yamlfile to control which OpenShift Container Platform versions are active. The following is an example of akustomization.yamlfile at the top level:resources: - version_4.131 #- version_4.142
Chapter 3. Updating GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
You can update the GitOps Zero Touch Provisioning (ZTP) infrastructure independently from the hub cluster, Red Hat Advanced Cluster Management (RHACM), and the managed OpenShift Container Platform clusters.
You can update the Red Hat OpenShift GitOps Operator when new versions become available. When updating the GitOps ZTP plugin, review the updated files in the reference configuration and ensure that the changes meet your requirements.
3.1. Overview of the GitOps ZTP update process Copiar enlaceEnlace copiado en el portapapeles!
You can update GitOps Zero Touch Provisioning (ZTP) for a fully operational hub cluster running an earlier version of the GitOps ZTP infrastructure. The update process avoids impact on managed clusters.
Any changes to policy settings, including adding recommended content, results in updated polices that must be rolled out to the managed clusters and reconciled.
At a high level, the strategy for updating the GitOps ZTP infrastructure is as follows:
-
Label all existing clusters with the
ztp-donelabel. - Stop the ArgoCD applications.
- Install the new GitOps ZTP tools.
- Update required content and optional changes in the Git repository.
- Update and restart the application configuration.
3.2. Preparing for the upgrade Copiar enlaceEnlace copiado en el portapapeles!
Use the following procedure to prepare your site for the GitOps Zero Touch Provisioning (ZTP) upgrade.
Procedure
- Get the latest version of the GitOps ZTP container that has the custom resources (CRs) used to configure Red Hat OpenShift GitOps for use with GitOps ZTP.
Extract the
argocd/deploymentdirectory by using the following commands:$ mkdir -p ./update$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 extract /home/ztp --tar | tar x -C ./updateThe
/updatedirectory contains the following subdirectories:-
update/extra-manifest: contains the source CR files that theSiteConfigCR uses to generate the extra manifestconfigMap. -
update/source-crs: contains the source CR files that thePolicyGenTemplateCR uses to generate the Red Hat Advanced Cluster Management (RHACM) policies. -
update/argocd/deployment: contains patches and YAML files to apply on the hub cluster for use in the next step of this procedure. -
update/argocd/example: contains exampleSiteConfigandPolicyGenTemplatefiles that represent the recommended configuration.
-
Update the
clusters-app.yamlandpolicies-app.yamlfiles to reflect the name of your applications and the URL, branch, and path for your Git repository.If the upgrade includes changes that results in obsolete policies, the obsolete policies should be removed prior to performing the upgrade.
Diff the changes between the configuration and deployment source CRs in the
/updatefolder and Git repo where you manage your fleet site CRs. Apply and push the required changes to your site repository.ImportantWhen you update GitOps ZTP to the latest version, you must apply the changes from the
update/argocd/deploymentdirectory to your site repository. Do not use older versions of theargocd/deployment/files.
3.3. Labeling the existing clusters Copiar enlaceEnlace copiado en el portapapeles!
To ensure that existing clusters remain untouched by the tool updates, label all existing managed clusters with the ztp-done label.
This procedure only applies when updating clusters that were not provisioned with Topology Aware Lifecycle Manager (TALM). Clusters that you provision with TALM are automatically labeled with ztp-done.
Procedure
Find a label selector that lists the managed clusters that were deployed with GitOps Zero Touch Provisioning (ZTP), such as
local-cluster!=true:$ oc get managedcluster -l 'local-cluster!=true'Ensure that the resulting list contains all the managed clusters that were deployed with GitOps ZTP, and then use that selector to add the
ztp-donelabel:$ oc label managedcluster -l 'local-cluster!=true' ztp-done=
3.4. Stopping the existing GitOps ZTP applications Copiar enlaceEnlace copiado en el portapapeles!
Removing the existing applications ensures that any changes to existing content in the Git repository are not rolled out until the new version of the tools is available.
Use the application files from the deployment directory. If you used custom names for the applications, update the names in these files first.
Procedure
Perform a non-cascaded delete on the
clustersapplication to leave all generated resources in place:$ oc delete -f update/argocd/deployment/clusters-app.yamlPerform a cascaded delete on the
policiesapplication to remove all previous policies:$ oc patch -f policies-app.yaml -p '{"metadata": {"finalizers": ["resources-finalizer.argocd.argoproj.io"]}}' --type merge$ oc delete -f update/argocd/deployment/policies-app.yaml
3.5. Required changes to the Git repository Copiar enlaceEnlace copiado en el portapapeles!
When upgrading the ztp-site-generate container from an earlier release of GitOps Zero Touch Provisioning (ZTP) to 4.10 or later, there are additional requirements for the contents of the Git repository. Existing content in the repository must be updated to reflect these changes.
Make required changes to
PolicyGenTemplatefiles:All
PolicyGenTemplatefiles must be created in aNamespaceprefixed withztp. This ensures that the GitOps ZTP application is able to manage the policy CRs generated by GitOps ZTP without conflicting with the way Red Hat Advanced Cluster Management (RHACM) manages the policies internally.Add the
kustomization.yamlfile to the repository:All
SiteConfigandPolicyGenTemplateCRs must be included in akustomization.yamlfile under their respective directory trees. For example:├── policygentemplates │ ├── site1-ns.yaml │ ├── site1.yaml │ ├── site2-ns.yaml │ ├── site2.yaml │ ├── common-ns.yaml │ ├── common-ranGen.yaml │ ├── group-du-sno-ranGen-ns.yaml │ ├── group-du-sno-ranGen.yaml │ └── kustomization.yaml └── siteconfig ├── site1.yaml ├── site2.yaml └── kustomization.yamlNoteThe files listed in the
generatorsections must contain eitherSiteConfigorPolicyGenTemplateCRs only. If your existing YAML files contain other CRs, for example,Namespace, these other CRs must be pulled out into separate files and listed in theresourcessection.The
PolicyGenTemplatekustomization file must contain allPolicyGenTemplateYAML files in thegeneratorsection andNamespaceCRs in theresourcessection. For example:apiVersion: kustomize.config.k8s.io/v1beta1 kind: Kustomization generators: - common-ranGen.yaml - group-du-sno-ranGen.yaml - site1.yaml - site2.yaml resources: - common-ns.yaml - group-du-sno-ranGen-ns.yaml - site1-ns.yaml - site2-ns.yamlThe
SiteConfigkustomization file must contain allSiteConfigYAML files in thegeneratorsection and any other CRs in the resources:apiVersion: kustomize.config.k8s.io/v1beta1 kind: Kustomization generators: - site1.yaml - site2.yamlRemove the
pre-sync.yamlandpost-sync.yamlfiles.In OpenShift Container Platform 4.10 and later, the
pre-sync.yamlandpost-sync.yamlfiles are no longer required. Theupdate/deployment/kustomization.yamlCR manages the policies deployment on the hub cluster.NoteThere is a set of
pre-sync.yamlandpost-sync.yamlfiles under both theSiteConfigandPolicyGenTemplatetrees.Review and incorporate recommended changes
Each release may include additional recommended changes to the configuration applied to deployed clusters. Typically these changes result in lower CPU use by the OpenShift platform, additional features, or improved tuning of the platform.
Review the reference
SiteConfigandPolicyGenTemplateCRs applicable to the types of cluster in your network. These examples can be found in theargocd/exampledirectory extracted from the GitOps ZTP container.
3.6. Installing the new GitOps ZTP applications Copiar enlaceEnlace copiado en el portapapeles!
Using the extracted argocd/deployment directory, and after ensuring that the applications point to your site Git repository, apply the full contents of the deployment directory. Applying the full contents of the directory ensures that all necessary resources for the applications are correctly configured.
Procedure
To install the GitOps ZTP plugin, patch the ArgoCD instance in the hub cluster with the relevant multicluster engine (MCE) subscription image. Customize the patch file that you previously extracted into the
out/argocd/deployment/directory for your environment.Select the
multicluster-operators-subscriptionimage that matches your RHACM version.-
For RHACM 2.8 and 2.9, use the
registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel8:v<rhacm_version>image. -
For RHACM 2.10 and later, use the
registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel9:v<rhacm_version>image.
ImportantThe version of the
multicluster-operators-subscriptionimage must match the RHACM version. Beginning with the MCE 2.10 release, RHEL 9 is the base image formulticluster-operators-subscriptionimages.Click
[Expand for Operator list]in the "Platform Aligned Operators" table in OpenShift Operator Life Cycles to view the complete supported Operators matrix for OpenShift Container Platform.-
For RHACM 2.8 and 2.9, use the
Add the following configuration to the
out/argocd/deployment/argocd-openshift-gitops-patch.jsonfile:{ "args": [ "-c", "mkdir -p /.config/kustomize/plugin/policy.open-cluster-management.io/v1/policygenerator && cp /policy-generator/PolicyGenerator-not-fips-compliant /.config/kustomize/plugin/policy.open-cluster-management.io/v1/policygenerator/PolicyGenerator"1 ], "command": [ "/bin/bash" ], "image": "registry.redhat.io/rhacm2/multicluster-operators-subscription-rhel9:v2.10",2 3 "name": "policy-generator-install", "imagePullPolicy": "Always", "volumeMounts": [ { "mountPath": "/.config", "name": "kustomize" } ] }- 1
- Optional: For RHEL 9 images, copy the required universal executable in the
/policy-generator/PolicyGenerator-not-fips-compliantfolder for the ArgoCD version. - 2
- Match the
multicluster-operators-subscriptionimage to the RHACM version. - 3
- In disconnected environments, replace the URL for the
multicluster-operators-subscriptionimage with the disconnected registry equivalent for your environment.
Patch the ArgoCD instance. Run the following command:
$ oc patch argocd openshift-gitops \ -n openshift-gitops --type=merge \ --patch-file out/argocd/deployment/argocd-openshift-gitops-patch.json
In RHACM 2.7 and later, the multicluster engine enables the
cluster-proxy-addonfeature by default. Apply the following patch to disable thecluster-proxy-addonfeature and remove the relevant hub cluster and managed pods that are responsible for this add-on. Run the following command:$ oc patch multiclusterengines.multicluster.openshift.io multiclusterengine --type=merge --patch-file out/argocd/deployment/disable-cluster-proxy-addon.jsonApply the pipeline configuration to your hub cluster by running the following command:
$ oc apply -k out/argocd/deployment
3.7. Rolling out the GitOps ZTP configuration changes Copiar enlaceEnlace copiado en el portapapeles!
If any configuration changes were included in the upgrade due to implementing recommended changes, the upgrade process results in a set of policy CRs on the hub cluster in the Non-Compliant state. With the GitOps Zero Touch Provisioning (ZTP) version 4.10 and later ztp-site-generate container, these policies are set to inform mode and are not pushed to the managed clusters without an additional step by the user. This ensures that potentially disruptive changes to the clusters can be managed in terms of when the changes are made, for example, during a maintenance window, and how many clusters are updated concurrently.
To roll out the changes, create one or more ClusterGroupUpgrade CRs as detailed in the TALM documentation. The CR must contain the list of Non-Compliant policies that you want to push out to the managed clusters as well as a list or selector of which clusters should be included in the update.
Chapter 4. Installing managed clusters with RHACM and SiteConfig resources Copiar enlaceEnlace copiado en el portapapeles!
You can provision OpenShift Container Platform clusters at scale with Red Hat Advanced Cluster Management (RHACM) using the assisted service and the GitOps plugin policy generator with core-reduction technology enabled. The GitOps Zero Touch Provisioning (ZTP) pipeline performs the cluster installations. GitOps ZTP can be used in a disconnected environment.
4.1. GitOps ZTP and Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
GitOps Zero Touch Provisioning (ZTP) generates installation and configuration CRs from manifests stored in Git. These artifacts are applied to a centralized hub cluster where Red Hat Advanced Cluster Management (RHACM), the assisted service, and the Topology Aware Lifecycle Manager (TALM) use the CRs to install and configure the managed cluster. The configuration phase of the GitOps ZTP pipeline uses the TALM to orchestrate the application of the configuration CRs to the cluster. There are several key integration points between GitOps ZTP and the TALM.
- Inform policies
-
By default, GitOps ZTP creates all policies with a remediation action of
inform. These policies cause RHACM to report on compliance status of clusters relevant to the policies but does not apply the desired configuration. During the GitOps ZTP process, after OpenShift installation, the TALM steps through the createdinformpolicies and enforces them on the target managed cluster(s). This applies the configuration to the managed cluster. Outside of the GitOps ZTP phase of the cluster lifecycle, this allows you to change policies without the risk of immediately rolling those changes out to affected managed clusters. You can control the timing and the set of remediated clusters by using TALM. - Automatic creation of ClusterGroupUpgrade CRs
To automate the initial configuration of newly deployed clusters, TALM monitors the state of all
ManagedClusterCRs on the hub cluster. AnyManagedClusterCR that does not have aztp-donelabel applied, including newly createdManagedClusterCRs, causes the TALM to automatically create aClusterGroupUpgradeCR with the following characteristics:-
The
ClusterGroupUpgradeCR is created and enabled in theztp-installnamespace. -
ClusterGroupUpgradeCR has the same name as theManagedClusterCR. -
The cluster selector includes only the cluster associated with that
ManagedClusterCR. -
The set of managed policies includes all policies that RHACM has bound to the cluster at the time the
ClusterGroupUpgradeis created. - Pre-caching is disabled.
- Timeout set to 4 hours (240 minutes).
The automatic creation of an enabled
ClusterGroupUpgradeensures that initial zero-touch deployment of clusters proceeds without the need for user intervention. Additionally, the automatic creation of aClusterGroupUpgradeCR for anyManagedClusterwithout theztp-donelabel allows a failed GitOps ZTP installation to be restarted by simply deleting theClusterGroupUpgradeCR for the cluster.-
The
- Waves
Each policy generated from a
PolicyGenTemplateCR includes aztp-deploy-waveannotation. This annotation is based on the same annotation from each CR which is included in that policy. The wave annotation is used to order the policies in the auto-generatedClusterGroupUpgradeCR. The wave annotation is not used other than for the auto-generatedClusterGroupUpgradeCR.NoteAll CRs in the same policy must have the same setting for the
ztp-deploy-waveannotation. The default value of this annotation for each CR can be overridden in thePolicyGenTemplate. The wave annotation in the source CR is used for determining and setting the policy wave annotation. This annotation is removed from each built CR which is included in the generated policy at runtime.The TALM applies the configuration policies in the order specified by the wave annotations. The TALM waits for each policy to be compliant before moving to the next policy. It is important to ensure that the wave annotation for each CR takes into account any prerequisites for those CRs to be applied to the cluster. For example, an Operator must be installed before or concurrently with the configuration for the Operator. Similarly, the
CatalogSourcefor an Operator must be installed in a wave before or concurrently with the Operator Subscription. The default wave value for each CR takes these prerequisites into account.NoteMultiple CRs and policies can share the same wave number. Having fewer policies can result in faster deployments and lower CPU usage. It is a best practice to group many CRs into relatively few waves.
To check the default wave value in each source CR, run the following command against the
out/source-crsdirectory that is extracted from theztp-site-generatecontainer image:$ grep -r "ztp-deploy-wave" out/source-crs- Phase labels
The
ClusterGroupUpgradeCR is automatically created and includes directives to annotate theManagedClusterCR with labels at the start and end of the GitOps ZTP process.When GitOps ZTP configuration postinstallation commences, the
ManagedClusterhas theztp-runninglabel applied. When all policies are remediated to the cluster and are fully compliant, these directives cause the TALM to remove theztp-runninglabel and apply theztp-donelabel.For deployments that make use of the
informDuValidatorpolicy, theztp-donelabel is applied when the cluster is fully ready for deployment of applications. This includes all reconciliation and resulting effects of the GitOps ZTP applied configuration CRs. Theztp-donelabel affects automaticClusterGroupUpgradeCR creation by TALM. Do not manipulate this label after the initial GitOps ZTP installation of the cluster.- Linked CRs
-
The automatically created
ClusterGroupUpgradeCR has the owner reference set as theManagedClusterfrom which it was derived. This reference ensures that deleting theManagedClusterCR causes the instance of theClusterGroupUpgradeto be deleted along with any supporting resources.
4.2. Overview of deploying managed clusters with GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
Red Hat Advanced Cluster Management (RHACM) uses GitOps Zero Touch Provisioning (ZTP) to deploy single-node OpenShift Container Platform clusters, three-node clusters, and standard clusters. You manage site configuration data as OpenShift Container Platform custom resources (CRs) in a Git repository. GitOps ZTP uses a declarative GitOps approach for a develop once, deploy anywhere model to deploy the managed clusters.
The deployment of the clusters includes:
- Installing the host operating system (RHCOS) on a blank server
- Deploying OpenShift Container Platform
- Creating cluster policies and site subscriptions
- Making the necessary network configurations to the server operating system
- Deploying profile Operators and performing any needed software-related configuration, such as performance profile, PTP, and SR-IOV
4.2.1. Overview of the managed site installation process Copiar enlaceEnlace copiado en el portapapeles!
After you apply the managed site custom resources (CRs) on the hub cluster, the following actions happen automatically:
- A Discovery image ISO file is generated and booted on the target host.
- When the ISO file successfully boots on the target host it reports the host hardware information to RHACM.
- After all hosts are discovered, OpenShift Container Platform is installed.
-
When OpenShift Container Platform finishes installing, the hub installs the
klusterletservice on the target cluster. - The requested add-on services are installed on the target cluster.
The Discovery image ISO process is complete when the Agent CR for the managed cluster is created on the hub cluster.
The target bare-metal host must meet the networking, firmware, and hardware requirements listed in Recommended single-node OpenShift cluster configuration for vDU application workloads.
4.3. Creating the managed bare-metal host secrets Copiar enlaceEnlace copiado en el portapapeles!
Add the required Secret custom resources (CRs) for the managed bare-metal host to the hub cluster. You need a secret for the GitOps Zero Touch Provisioning (ZTP) pipeline to access the Baseboard Management Controller (BMC) and a secret for the assisted installer service to pull cluster installation images from the registry.
The secrets are referenced from the SiteConfig CR by name. The namespace must match the SiteConfig namespace.
Procedure
Create a YAML secret file containing credentials for the host Baseboard Management Controller (BMC) and a pull secret required for installing OpenShift and all add-on cluster Operators:
Save the following YAML as the file
example-sno-secret.yaml:apiVersion: v1 kind: Secret metadata: name: example-sno-bmc-secret namespace: example-sno1 data:2 password: <base64_password> username: <base64_username> type: Opaque --- apiVersion: v1 kind: Secret metadata: name: pull-secret namespace: example-sno3 data: .dockerconfigjson: <pull_secret>4 type: kubernetes.io/dockerconfigjson
-
Add the relative path to
example-sno-secret.yamlto thekustomization.yamlfile that you use to install the cluster.
4.4. Configuring Discovery ISO kernel arguments for installations using GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
The GitOps Zero Touch Provisioning (ZTP) workflow uses the Discovery ISO as part of the OpenShift Container Platform installation process on managed bare-metal hosts. You can edit the InfraEnv resource to specify kernel arguments for the Discovery ISO. This is useful for cluster installations with specific environmental requirements. For example, configure the rd.net.timeout.carrier kernel argument for the Discovery ISO to facilitate static networking for the cluster or to receive a DHCP address before downloading the root file system during installation.
In OpenShift Container Platform 4.15, you can only add kernel arguments. You can not replace or delete kernel arguments.
Prerequisites
- You have installed the OpenShift CLI (oc).
- You have logged in to the hub cluster as a user with cluster-admin privileges.
Procedure
Create the
InfraEnvCR and edit thespec.kernelArgumentsspecification to configure kernel arguments.Save the following YAML in an
InfraEnv-example.yamlfile:NoteThe
InfraEnvCR in this example uses template syntax such as{{ .Cluster.ClusterName }}that is populated based on values in theSiteConfigCR. TheSiteConfigCR automatically populates values for these templates during deployment. Do not edit the templates manually.apiVersion: agent-install.openshift.io/v1beta1 kind: InfraEnv metadata: annotations: argocd.argoproj.io/sync-wave: "1" name: "{{ .Cluster.ClusterName }}" namespace: "{{ .Cluster.ClusterName }}" spec: clusterRef: name: "{{ .Cluster.ClusterName }}" namespace: "{{ .Cluster.ClusterName }}" kernelArguments: - operation: append1 value: audit=02 - operation: append value: trace=1 sshAuthorizedKey: "{{ .Site.SshPublicKey }}" proxy: "{{ .Cluster.ProxySettings }}" pullSecretRef: name: "{{ .Site.PullSecretRef.Name }}" ignitionConfigOverride: "{{ .Cluster.IgnitionConfigOverride }}" nmStateConfigLabelSelector: matchLabels: nmstate-label: "{{ .Cluster.ClusterName }}" additionalNTPSources: "{{ .Cluster.AdditionalNTPSources }}"
Commit the
InfraEnv-example.yamlCR to the same location in your Git repository that has theSiteConfigCR and push your changes. The following example shows a sample Git repository structure:~/example-ztp/install └── site-install ├── siteconfig-example.yaml ├── InfraEnv-example.yaml ...Edit the
spec.clusters.crTemplatesspecification in theSiteConfigCR to reference theInfraEnv-example.yamlCR in your Git repository:clusters: crTemplates: InfraEnv: "InfraEnv-example.yaml"When you are ready to deploy your cluster by committing and pushing the
SiteConfigCR, the build pipeline uses the customInfraEnv-exampleCR in your Git repository to configure the infrastructure environment, including the custom kernel arguments.
Verification
To verify that the kernel arguments are applied, after the Discovery image verifies that OpenShift Container Platform is ready for installation, you can SSH to the target host before the installation process begins. At that point, you can view the kernel arguments for the Discovery ISO in the /proc/cmdline file.
Begin an SSH session with the target host:
$ ssh -i /path/to/privatekey core@<host_name>View the system’s kernel arguments by using the following command:
$ cat /proc/cmdline
4.5. Deploying a managed cluster with SiteConfig and GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
Use the following procedure to create a SiteConfig custom resource (CR) and related files and initiate the GitOps Zero Touch Provisioning (ZTP) cluster deployment.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You configured the hub cluster for generating the required installation and policy CRs.
You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and you must configure it as a source repository for the ArgoCD application. See "Preparing the GitOps ZTP site configuration repository" for more information.
NoteWhen you create the source repository, ensure that you patch the ArgoCD application with the
argocd/deployment/argocd-openshift-gitops-patch.jsonpatch-file that you extract from theztp-site-generatecontainer. See "Configuring the hub cluster with ArgoCD".To be ready for provisioning managed clusters, you require the following for each bare-metal host:
- Network connectivity
- Your network requires DNS. Managed cluster hosts should be reachable from the hub cluster. Ensure that Layer 3 connectivity exists between the hub cluster and the managed cluster host.
- Baseboard Management Controller (BMC) details
-
GitOps ZTP uses BMC username and password details to connect to the BMC during cluster installation. The GitOps ZTP plugin manages the
ManagedClusterCRs on the hub cluster based on theSiteConfigCR in your site Git repo. You create individualBMCSecretCRs for each host manually.
Procedure
Create the required managed cluster secrets on the hub cluster. These resources must be in a namespace with a name matching the cluster name. For example, in
out/argocd/example/siteconfig/example-sno.yaml, the cluster name and namespace isexample-sno.Export the cluster namespace by running the following command:
$ export CLUSTERNS=example-snoCreate the namespace:
$ oc create namespace $CLUSTERNS
Create pull secret and BMC
SecretCRs for the managed cluster. The pull secret must contain all the credentials necessary for installing OpenShift Container Platform and all required Operators. See "Creating the managed bare-metal host secrets" for more information.NoteThe secrets are referenced from the
SiteConfigcustom resource (CR) by name. The namespace must match theSiteConfignamespace.Create a
SiteConfigCR for your cluster in your local clone of the Git repository:Choose the appropriate example for your CR from the
out/argocd/example/siteconfig/folder. The folder includes example files for single node, three-node, and standard clusters:-
example-sno.yaml -
example-3node.yaml -
example-standard.yaml
-
Change the cluster and host details in the example file to match the type of cluster you want. For example:
Example single-node OpenShift SiteConfig CR
# example-node1-bmh-secret & assisted-deployment-pull-secret need to be created under same namespace example-sno --- apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "example-sno" namespace: "example-sno" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" clusterImageSetNameRef: "openshift-4.10" sshPublicKey: "ssh-rsa AAAA..." clusters: - clusterName: "example-sno" networkType: "OVNKubernetes" # installConfigOverrides is a generic way of passing install-config # parameters through the siteConfig. The 'capabilities' field configures # the composable openshift feature. In this 'capabilities' setting, we # remove all but the marketplace component from the optional set of # components. # Notes: # - OperatorLifecycleManager is needed for 4.15 and later # - NodeTuning is needed for 4.13 and later, not for 4.12 and earlier installConfigOverrides: | { "capabilities": { "baselineCapabilitySet": "None", "additionalEnabledCapabilities": [ "NodeTuning", "OperatorLifecycleManager" ] } } # It is strongly recommended to include crun manifests as part of the additional install-time manifests for 4.13+. # The crun manifests can be obtained from source-crs/optional-extra-manifest/ and added to the git repo ie.sno-extra-manifest. # extraManifestPath: sno-extra-manifest clusterLabels: # These example cluster labels correspond to the bindingRules in the PolicyGenTemplate examples du-profile: "latest" # These example cluster labels correspond to the bindingRules in the PolicyGenTemplate examples in ../policygentemplates: # ../policygentemplates/common-ranGen.yaml will apply to all clusters with 'common: true' common: true # ../policygentemplates/group-du-sno-ranGen.yaml will apply to all clusters with 'group-du-sno: ""' group-du-sno: "" # ../policygentemplates/example-sno-site.yaml will apply to all clusters with 'sites: "example-sno"' # Normally this should match or contain the cluster name so it only applies to a single cluster sites : "example-sno" clusterNetwork: - cidr: 1001:1::/48 hostPrefix: 64 machineNetwork: - cidr: 1111:2222:3333:4444::/64 serviceNetwork: - 1001:2::/112 additionalNTPSources: - 1111:2222:3333:4444::2 # Initiates the cluster for workload partitioning. Setting specific reserved/isolated CPUSets is done via PolicyTemplate # please see Workload Partitioning Feature for a complete guide. cpuPartitioningMode: AllNodes # Optionally; This can be used to override the KlusterletAddonConfig that is created for this cluster: #crTemplates: # KlusterletAddonConfig: "KlusterletAddonConfigOverride.yaml" nodes: - hostName: "example-node1.example.com" role: "master" # Optionally; This can be used to configure desired BIOS setting on a host: #biosConfigRef: # filePath: "example-hw.profile" bmcAddress: "idrac-virtualmedia+https://[1111:2222:3333:4444::bbbb:1]/redfish/v1/Systems/System.Embedded.1" bmcCredentialsName: name: "example-node1-bmh-secret" bootMACAddress: "AA:BB:CC:DD:EE:11" # Use UEFISecureBoot to enable secure boot bootMode: "UEFI" rootDeviceHints: deviceName: "/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0" # disk partition at `/var/lib/containers` with ignitionConfigOverride. Some values must be updated. See DiskPartitionContainer.md for more details ignitionConfigOverride: | { "ignition": { "version": "3.2.0" }, "storage": { "disks": [ { "device": "/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0", "partitions": [ { "label": "var-lib-containers", "sizeMiB": 0, "startMiB": 250000 } ], "wipeTable": false } ], "filesystems": [ { "device": "/dev/disk/by-partlabel/var-lib-containers", "format": "xfs", "mountOptions": [ "defaults", "prjquota" ], "path": "/var/lib/containers", "wipeFilesystem": true } ] }, "systemd": { "units": [ { "contents": "# Generated by Butane\n[Unit]\nRequires=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\nAfter=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\n\n[Mount]\nWhere=/var/lib/containers\nWhat=/dev/disk/by-partlabel/var-lib-containers\nType=xfs\nOptions=defaults,prjquota\n\n[Install]\nRequiredBy=local-fs.target", "enabled": true, "name": "var-lib-containers.mount" } ] } } nodeNetwork: interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up ipv4: enabled: false ipv6: enabled: true address: # For SNO sites with static IP addresses, the node-specific, # API and Ingress IPs should all be the same and configured on # the interface - ip: 1111:2222:3333:4444::aaaa:1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254NoteFor more information about BMC addressing, see the "Additional resources" section. The
installConfigOverridesandignitionConfigOverridefields are expanded in the example for ease of readability.-
You can inspect the default set of extra-manifest
MachineConfigCRs inout/argocd/extra-manifest. It is automatically applied to the cluster when it is installed. Optional: To provision additional install-time manifests on the provisioned cluster, create a directory in your Git repository, for example,
sno-extra-manifest/, and add your custom manifest CRs to this directory. If yourSiteConfig.yamlrefers to this directory in theextraManifestPathfield, any CRs in this referenced directory are appended to the default set of extra manifests.Enabling the crun OCI container runtimeFor optimal cluster performance, enable crun for master and worker nodes in single-node OpenShift, single-node OpenShift with additional worker nodes, three-node OpenShift, and standard clusters.
Enable crun in a
ContainerRuntimeConfigCR as an additional Day 0 install-time manifest to avoid the cluster having to reboot.The
enable-crun-master.yamlandenable-crun-worker.yamlCR files are in theout/source-crs/optional-extra-manifest/folder that you can extract from theztp-site-generatecontainer. For more information, see "Customizing extra installation manifests in the GitOps ZTP pipeline".
-
Add the
SiteConfigCR to thekustomization.yamlfile in thegeneratorssection, similar to the example shown inout/argocd/example/siteconfig/kustomization.yaml. Commit the
SiteConfigCR and associatedkustomization.yamlchanges in your Git repository and push the changes.The ArgoCD pipeline detects the changes and begins the managed cluster deployment.
Verification
Verify that the custom roles and labels are applied after the node is deployed:
$ oc describe node example-node.example.com
Example output
Name: example-node.example.com
Roles: control-plane,example-label,master,worker
Labels: beta.kubernetes.io/arch=amd64
beta.kubernetes.io/os=linux
custom-label/parameter1=true
kubernetes.io/arch=amd64
kubernetes.io/hostname=cnfdf03.telco5gran.eng.rdu2.redhat.com
kubernetes.io/os=linux
node-role.kubernetes.io/control-plane=
node-role.kubernetes.io/example-label=
node-role.kubernetes.io/master=
node-role.kubernetes.io/worker=
node.openshift.io/os_id=rhcos
- 1
- The custom label is applied to the node.
4.5.1. Single-node OpenShift SiteConfig CR installation reference Copiar enlaceEnlace copiado en el portapapeles!
| SiteConfig CR field | Description |
|---|---|
|
|
Configure workload partitioning by setting the value for Note
Configuring workload partitioning by using the |
|
|
Set |
|
|
Configure the image set available on the hub cluster for all the clusters in the site. To see the list of supported versions on your hub cluster, run |
|
|
Set the Important
Use the reference configuration as specified in the example |
|
|
Specifies the cluster image set used to deploy an individual cluster. If defined, it overrides the |
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Configure cluster labels to correspond to the |
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|
Optional. Set |
|
|
For single-node deployments, define a single host. For three-node deployments, define three hosts. For standard deployments, define three hosts with |
|
| Specify custom roles for your nodes in your managed clusters. These are additional roles are not used by any OpenShift Container Platform components, only by the user. When you add a custom role, it can be associated with a custom machine config pool that references a specific configuration for that role. Adding custom labels or roles during installation makes the deployment process more effective and prevents the need for additional reboots after the installation is complete. |
|
|
Optional. Uncomment and set the value to |
|
| BMC address that you use to access the host. Applies to all cluster types. GitOps ZTP supports iPXE and virtual media booting by using Redfish or IPMI protocols. To use iPXE booting, you must use RHACM 2.8 or later. For more information about BMC addressing, see the "Additional resources" section. |
|
| BMC address that you use to access the host. Applies to all cluster types. GitOps ZTP supports iPXE and virtual media booting by using Redfish or IPMI protocols. To use iPXE booting, you must use RHACM 2.8 or later. For more information about BMC addressing, see the "Additional resources" section. Note In far edge Telco use cases, only virtual media is supported for use with GitOps ZTP. |
|
|
Configure the |
|
|
Set the boot mode for the host to |
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|
Specifies the device for deployment. Identifiers that are stable across reboots are recommended. For example, |
|
| Optional. Use this field to assign partitions for persistent storage. Adjust disk ID and size to the specific hardware. |
|
| Configure the network settings for the node. |
|
| Configure the IPv6 address for the host. For single-node OpenShift clusters with static IP addresses, the node-specific API and Ingress IPs should be the same. |
4.6. Monitoring managed cluster installation progress Copiar enlaceEnlace copiado en el portapapeles!
The ArgoCD pipeline uses the SiteConfig CR to generate the cluster configuration CRs and syncs it with the hub cluster. You can monitor the progress of the synchronization in the ArgoCD dashboard.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
When the synchronization is complete, the installation generally proceeds as follows:
The Assisted Service Operator installs OpenShift Container Platform on the cluster. You can monitor the progress of cluster installation from the RHACM dashboard or from the command line by running the following commands:
Export the cluster name:
$ export CLUSTER=<clusterName>Query the
AgentClusterInstallCR for the managed cluster:$ oc get agentclusterinstall -n $CLUSTER $CLUSTER -o jsonpath='{.status.conditions[?(@.type=="Completed")]}' | jqGet the installation events for the cluster:
$ curl -sk $(oc get agentclusterinstall -n $CLUSTER $CLUSTER -o jsonpath='{.status.debugInfo.eventsURL}') | jq '.[-2,-1]'
4.7. Troubleshooting GitOps ZTP by validating the installation CRs Copiar enlaceEnlace copiado en el portapapeles!
The ArgoCD pipeline uses the SiteConfig and PolicyGenTemplate custom resources (CRs) to generate the cluster configuration CRs and Red Hat Advanced Cluster Management (RHACM) policies. Use the following steps to troubleshoot issues that might occur during this process.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
Check that the installation CRs were created by using the following command:
$ oc get AgentClusterInstall -n <cluster_name>If no object is returned, use the following steps to troubleshoot the ArgoCD pipeline flow from
SiteConfigfiles to the installation CRs.Verify that the
ManagedClusterCR was generated using theSiteConfigCR on the hub cluster:$ oc get managedclusterIf the
ManagedClusteris missing, check if theclustersapplication failed to synchronize the files from the Git repository to the hub cluster:$ oc get applications.argoproj.io -n openshift-gitops clusters -o yamlTo identify error logs for the managed cluster, inspect the
status.operationState.syncResult.resourcesfield. For example, if an invalid value is assigned to theextraManifestPathin theSiteConfigCR, an error similar to the following is generated:syncResult: resources: - group: ran.openshift.io kind: SiteConfig message: The Kubernetes API could not find ran.openshift.io/SiteConfig for requested resource spoke-sno/spoke-sno. Make sure the "SiteConfig" CRD is installed on the destination clusterTo see a more detailed
SiteConfigerror, complete the following steps:- In the Argo CD dashboard, click the SiteConfig resource that Argo CD is trying to sync.
Check the DESIRED MANIFEST tab to find the
siteConfigErrorfield.siteConfigError: >- Error: could not build the entire SiteConfig defined by /tmp/kust-plugin-config-1081291903: stat sno-extra-manifest: no such file or directory
Check the
Status.Syncfield. If there are log errors, theStatus.Syncfield could indicate anUnknownerror:Status: Sync: Compared To: Destination: Namespace: clusters-sub Server: https://kubernetes.default.svc Source: Path: sites-config Repo URL: https://git.com/ran-sites/siteconfigs/.git Target Revision: master Status: Unknown
4.8. Troubleshooting GitOps ZTP virtual media booting on Supermicro servers Copiar enlaceEnlace copiado en el portapapeles!
SuperMicro X11 servers do not support virtual media installations when the image is served using the https protocol. As a result, single-node OpenShift deployments for this environment fail to boot on the target node. To avoid this issue, log in to the hub cluster and disable Transport Layer Security (TLS) in the Provisioning resource. This ensures the image is not served with TLS even though the image address uses the https scheme.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
Disable TLS in the
Provisioningresource by running the following command:$ oc patch provisioning provisioning-configuration --type merge -p '{"spec":{"disableVirtualMediaTLS": true}}'- Continue the steps to deploy your single-node OpenShift cluster.
4.9. Removing a managed cluster site from the GitOps ZTP pipeline Copiar enlaceEnlace copiado en el portapapeles!
You can remove a managed site and the associated installation and configuration policy CRs from the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
-
Remove a site and the associated CRs by removing the associated
SiteConfigandPolicyGenTemplatefiles from thekustomization.yamlfile. Add the following
syncOptionsfield to yourSiteConfigapplication:kind: Application spec: syncPolicy: syncOptions: - PrunePropagationPolicy=backgroundWhen you run the GitOps ZTP pipeline again, the generated CRs are removed.
-
Optional: If you want to permanently remove a site, you should also remove the
SiteConfigand site-specificPolicyGenTemplatefiles from the Git repository. -
Optional: If you want to remove a site temporarily, for example when redeploying a site, you can leave the
SiteConfigand site-specificPolicyGenTemplateCRs in the Git repository.
4.10. Removing obsolete content from the GitOps ZTP pipeline Copiar enlaceEnlace copiado en el portapapeles!
If a change to the PolicyGenTemplate configuration results in obsolete policies, for example, if you rename policies, use the following procedure to remove the obsolete policies.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
-
Remove the affected
PolicyGenTemplatefiles from the Git repository, commit and push to the remote repository. - Wait for the changes to synchronize through the application and the affected policies to be removed from the hub cluster.
Add the updated
PolicyGenTemplatefiles back to the Git repository, and then commit and push to the remote repository.NoteRemoving GitOps Zero Touch Provisioning (ZTP) policies from the Git repository, and as a result also removing them from the hub cluster, does not affect the configuration of the managed cluster. The policy and CRs managed by that policy remains in place on the managed cluster.
Optional: As an alternative, after making changes to
PolicyGenTemplateCRs that result in obsolete policies, you can remove these policies from the hub cluster manually. You can delete policies from the RHACM console using the Governance tab or by running the following command:$ oc delete policy -n <namespace> <policy_name>
4.11. Tearing down the GitOps ZTP pipeline Copiar enlaceEnlace copiado en el portapapeles!
You can remove the ArgoCD pipeline and all generated GitOps Zero Touch Provisioning (ZTP) artifacts.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
- Detach all clusters from Red Hat Advanced Cluster Management (RHACM) on the hub cluster.
Delete the
kustomization.yamlfile in thedeploymentdirectory using the following command:$ oc delete -k out/argocd/deployment- Commit and push your changes to the site repository.
Chapter 5. Configuring managed clusters with policies and PolicyGenTemplate resources Copiar enlaceEnlace copiado en el portapapeles!
Applied policy custom resources (CRs) configure the managed clusters that you provision. You can customize how Red Hat Advanced Cluster Management (RHACM) uses PolicyGenTemplate CRs to generate the applied policy CRs.
5.1. About the PolicyGenTemplate CRD Copiar enlaceEnlace copiado en el portapapeles!
The PolicyGenTemplate custom resource definition (CRD) tells the PolicyGen policy generator what custom resources (CRs) to include in the cluster configuration, how to combine the CRs into the generated policies, and what items in those CRs need to be updated with overlay content.
The following example shows a PolicyGenTemplate CR (common-du-ranGen.yaml) extracted from the ztp-site-generate reference container. The common-du-ranGen.yaml file defines two Red Hat Advanced Cluster Management (RHACM) policies. The polices manage a collection of configuration CRs, one for each unique value of policyName in the CR. common-du-ranGen.yaml creates a single placement binding and a placement rule to bind the policies to clusters based on the labels listed in the bindingRules section.
Example PolicyGenTemplate CR - common-du-ranGen.yaml
---
apiVersion: ran.openshift.io/v1
kind: PolicyGenTemplate
metadata:
name: "common"
namespace: "ztp-common"
spec:
bindingRules:
common: "true"
sourceFiles:
- fileName: SriovSubscription.yaml
policyName: "subscriptions-policy"
- fileName: SriovSubscriptionNS.yaml
policyName: "subscriptions-policy"
- fileName: SriovSubscriptionOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: SriovOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscription.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscriptionNS.yaml
policyName: "subscriptions-policy"
- fileName: PtpSubscriptionOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: PtpOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogNS.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogSubscription.yaml
policyName: "subscriptions-policy"
- fileName: ClusterLogOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: StorageNS.yaml
policyName: "subscriptions-policy"
- fileName: StorageOperGroup.yaml
policyName: "subscriptions-policy"
- fileName: StorageSubscription.yaml
policyName: "subscriptions-policy"
- fileName: StorageOperatorStatus.yaml
policyName: "subscriptions-policy"
- fileName: ReduceMonitoringFootprint.yaml
policyName: "config-policy"
- fileName: OperatorHub.yaml
policyName: "config-policy"
- fileName: DefaultCatsrc.yaml
policyName: "config-policy"
metadata:
name: redhat-operators
spec:
displayName: disconnected-redhat-operators
image: registry.example.com:5000/disconnected-redhat-operators/disconnected-redhat-operator-index:v4.9
- fileName: DisconnectedICSP.yaml
policyName: "config-policy"
spec:
repositoryDigestMirrors:
- mirrors:
- registry.example.com:5000
source: registry.redhat.io
- 1
common: "true"applies the policies to all clusters with this label.- 2
- Files listed under
sourceFilescreate the Operator policies for installed clusters. - 3
OperatorHub.yamlconfigures the OperatorHub for the disconnected registry.- 4
DefaultCatsrc.yamlconfigures the catalog source for the disconnected registry.- 5
policyName: "config-policy"configures Operator subscriptions. TheOperatorHubCR disables the default and this CR replacesredhat-operatorswith aCatalogSourceCR that points to the disconnected registry.
A PolicyGenTemplate CR can be constructed with any number of included CRs. Apply the following example CR in the hub cluster to generate a policy containing a single CR:
apiVersion: ran.openshift.io/v1
kind: PolicyGenTemplate
metadata:
name: "group-du-sno"
namespace: "ztp-group"
spec:
bindingRules:
group-du-sno: ""
mcp: "master"
sourceFiles:
- fileName: PtpConfigSlave.yaml
policyName: "config-policy"
metadata:
name: "du-ptp-slave"
spec:
profile:
- name: "slave"
interface: "ens5f0"
ptp4lOpts: "-2 -s --summary_interval -4"
phc2sysOpts: "-a -r -n 24"
Using the source file PtpConfigSlave.yaml as an example, the file defines a PtpConfig CR. The generated policy for the PtpConfigSlave example is named group-du-sno-config-policy. The PtpConfig CR defined in the generated group-du-sno-config-policy is named du-ptp-slave. The spec defined in PtpConfigSlave.yaml is placed under du-ptp-slave along with the other spec items defined under the source file.
The following example shows the group-du-sno-config-policy CR:
apiVersion: policy.open-cluster-management.io/v1
kind: Policy
metadata:
name: group-du-ptp-config-policy
namespace: groups-sub
annotations:
policy.open-cluster-management.io/categories: CM Configuration Management
policy.open-cluster-management.io/controls: CM-2 Baseline Configuration
policy.open-cluster-management.io/standards: NIST SP 800-53
spec:
remediationAction: inform
disabled: false
policy-templates:
- objectDefinition:
apiVersion: policy.open-cluster-management.io/v1
kind: ConfigurationPolicy
metadata:
name: group-du-ptp-config-policy-config
spec:
remediationAction: inform
severity: low
namespaceselector:
exclude:
- kube-*
include:
- '*'
object-templates:
- complianceType: musthave
objectDefinition:
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: du-ptp-slave
namespace: openshift-ptp
spec:
recommend:
- match:
- nodeLabel: node-role.kubernetes.io/worker-du
priority: 4
profile: slave
profile:
- interface: ens5f0
name: slave
phc2sysOpts: -a -r -n 24
ptp4lConf: |
[global]
#
# Default Data Set
#
twoStepFlag 1
slaveOnly 0
priority1 128
priority2 128
domainNumber 24
.....
5.2. Recommendations when customizing PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Consider the following best practices when customizing site configuration PolicyGenTemplate custom resources (CRs):
-
Use as few policies as are necessary. Using fewer policies requires less resources. Each additional policy creates overhead for the hub cluster and the deployed managed cluster. CRs are combined into policies based on the
policyNamefield in thePolicyGenTemplateCR. CRs in the samePolicyGenTemplatewhich have the same value forpolicyNameare managed under a single policy. -
In disconnected environments, use a single catalog source for all Operators by configuring the registry as a single index containing all Operators. Each additional
CatalogSourceCR on the managed clusters increases CPU usage. -
MachineConfigCRs should be included asextraManifestsin theSiteConfigCR so that they are applied during installation. This can reduce the overall time taken until the cluster is ready to deploy applications. -
PolicyGenTemplatesshould override the channel field to explicitly identify the desired version. This ensures that changes in the source CR during upgrades does not update the generated subscription.
When managing large numbers of spoke clusters on the hub cluster, minimize the number of policies to reduce resource consumption.
Grouping multiple configuration CRs into a single or limited number of policies is one way to reduce the overall number of policies on the hub cluster. When using the common, group, and site hierarchy of policies for managing site configuration, it is especially important to combine site-specific configuration into a single policy.
5.3. PolicyGenTemplate CRs for RAN deployments Copiar enlaceEnlace copiado en el portapapeles!
Use PolicyGenTemplate (PGT) custom resources (CRs) to customize the configuration applied to the cluster by using the GitOps Zero Touch Provisioning (ZTP) pipeline. The PGT CR allows you to generate one or more policies to manage the set of configuration CRs on your fleet of clusters. The PGT identifies the set of managed CRs, bundles them into policies, builds the policy wrapping around those CRs, and associates the policies with clusters by using label binding rules.
The reference configuration, obtained from the GitOps ZTP container, is designed to provide a set of critical features and node tuning settings that ensure the cluster can support the stringent performance and resource utilization constraints typical of RAN (Radio Access Network) Distributed Unit (DU) applications. Changes or omissions from the baseline configuration can affect feature availability, performance, and resource utilization. Use the reference PolicyGenTemplate CRs as the basis to create a hierarchy of configuration files tailored to your specific site requirements.
The baseline PolicyGenTemplate CRs that are defined for RAN DU cluster configuration can be extracted from the GitOps ZTP ztp-site-generate container. See "Preparing the GitOps ZTP site configuration repository" for further details.
The PolicyGenTemplate CRs can be found in the ./out/argocd/example/policygentemplates folder. The reference architecture has common, group, and site-specific configuration CRs. Each PolicyGenTemplate CR refers to other CRs that can be found in the ./out/source-crs folder.
The PolicyGenTemplate CRs relevant to RAN cluster configuration are described below. Variants are provided for the group PolicyGenTemplate CRs to account for differences in single-node, three-node compact, and standard cluster configurations. Similarly, site-specific configuration variants are provided for single-node clusters and multi-node (compact or standard) clusters. Use the group and site-specific configuration variants that are relevant for your deployment.
| PolicyGenTemplate CR | Description |
|---|---|
|
| Contains a set of CRs that get applied to multi-node clusters. These CRs configure SR-IOV features typical for RAN installations. |
|
| Contains a set of CRs that get applied to single-node OpenShift clusters. These CRs configure SR-IOV features typical for RAN installations. |
|
| Contains a set of common RAN CRs that get applied to all clusters. These CRs subscribe to a set of operators providing cluster features typical for RAN as well as baseline cluster tuning. |
|
| Contains the RAN policies for three-node clusters only. |
|
| Contains the RAN policies for single-node clusters only. |
|
| Contains the RAN policies for standard three control-plane clusters. |
|
|
|
|
|
|
|
|
|
5.4. Customizing a managed cluster with PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Use the following procedure to customize the policies that get applied to the managed cluster that you provision using the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You configured the hub cluster for generating the required installation and policy CRs.
- You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
Create a
PolicyGenTemplateCR for site-specific configuration CRs.-
Choose the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,example-sno-site.yamlorexample-multinode-site.yaml. Change the
bindingRulesfield in the example file to match the site-specific label included in theSiteConfigCR. In the exampleSiteConfigfile, the site-specific label issites: example-sno.NoteEnsure that the labels defined in your
PolicyGenTemplatebindingRulesfield correspond to the labels that are defined in the related managed clustersSiteConfigCR.- Change the content in the example file to match the desired configuration.
-
Choose the appropriate example for your CR from the
Optional: Create a
PolicyGenTemplateCR for any common configuration CRs that apply to the entire fleet of clusters.-
Select the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,common-ranGen.yaml. - Change the content in the example file to match the desired configuration.
-
Select the appropriate example for your CR from the
Optional: Create a
PolicyGenTemplateCR for any group configuration CRs that apply to the certain groups of clusters in the fleet.Ensure that the content of the overlaid spec files matches your desired end state. As a reference, the out/source-crs directory contains the full list of source-crs available to be included and overlaid by your PolicyGenTemplate templates.
NoteDepending on the specific requirements of your clusters, you might need more than a single group policy per cluster type, especially considering that the example group policies each have a single PerformancePolicy.yaml file that can only be shared across a set of clusters if those clusters consist of identical hardware configurations.
-
Select the appropriate example for your CR from the
out/argocd/example/policygentemplatesfolder, for example,group-du-sno-ranGen.yaml. - Change the content in the example file to match the desired configuration.
-
Select the appropriate example for your CR from the
-
Optional. Create a validator inform policy
PolicyGenTemplateCR to signal when the GitOps ZTP installation and configuration of the deployed cluster is complete. For more information, see "Creating a validator inform policy". Define all the policy namespaces in a YAML file similar to the example
out/argocd/example/policygentemplates/ns.yamlfile.ImportantDo not include the
NamespaceCR in the same file with thePolicyGenTemplateCR.-
Add the
PolicyGenTemplateCRs andNamespaceCR to thekustomization.yamlfile in the generators section, similar to the example shown inout/argocd/example/policygentemplates/kustomization.yaml. Commit the
PolicyGenTemplateCRs,NamespaceCR, and associatedkustomization.yamlfile in your Git repository and push the changes.The ArgoCD pipeline detects the changes and begins the managed cluster deployment. You can push the changes to the
SiteConfigCR and thePolicyGenTemplateCR simultaneously.
5.5. Monitoring managed cluster policy deployment progress Copiar enlaceEnlace copiado en el portapapeles!
The ArgoCD pipeline uses PolicyGenTemplate CRs in Git to generate the RHACM policies and then sync them to the hub cluster. You can monitor the progress of the managed cluster policy synchronization after the assisted service installs OpenShift Container Platform on the managed cluster.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
The Topology Aware Lifecycle Manager (TALM) applies the configuration policies that are bound to the cluster.
After the cluster installation is complete and the cluster becomes
Ready, aClusterGroupUpgradeCR corresponding to this cluster, with a list of ordered policies defined by theran.openshift.io/ztp-deploy-wave annotations, is automatically created by the TALM. The cluster’s policies are applied in the order listed inClusterGroupUpgradeCR.You can monitor the high-level progress of configuration policy reconciliation by using the following commands:
$ export CLUSTER=<clusterName>$ oc get clustergroupupgrades -n ztp-install $CLUSTER -o jsonpath='{.status.conditions[-1:]}' | jqExample output
{ "lastTransitionTime": "2022-11-09T07:28:09Z", "message": "Remediating non-compliant policies", "reason": "InProgress", "status": "True", "type": "Progressing" }You can monitor the detailed cluster policy compliance status by using the RHACM dashboard or the command line.
To check policy compliance by using
oc, run the following command:$ oc get policies -n $CLUSTERExample output
NAME REMEDIATION ACTION COMPLIANCE STATE AGE ztp-common.common-config-policy inform Compliant 3h42m ztp-common.common-subscriptions-policy inform NonCompliant 3h42m ztp-group.group-du-sno-config-policy inform NonCompliant 3h42m ztp-group.group-du-sno-validator-du-policy inform NonCompliant 3h42m ztp-install.example1-common-config-policy-pjz9s enforce Compliant 167m ztp-install.example1-common-subscriptions-policy-zzd9k enforce NonCompliant 164m ztp-site.example1-config-policy inform NonCompliant 3h42m ztp-site.example1-perf-policy inform NonCompliant 3h42mTo check policy status from the RHACM web console, perform the following actions:
- Click Governance → Find policies.
- Click on a cluster policy to check it’s status.
When all of the cluster policies become compliant, GitOps ZTP installation and configuration for the cluster is complete. The ztp-done label is added to the cluster.
In the reference configuration, the final policy that becomes compliant is the one defined in the *-du-validator-policy policy. This policy, when compliant on a cluster, ensures that all cluster configuration, Operator installation, and Operator configuration is complete.
5.6. Validating the generation of configuration policy CRs Copiar enlaceEnlace copiado en el portapapeles!
Policy custom resources (CRs) are generated in the same namespace as the PolicyGenTemplate from which they are created. The same troubleshooting flow applies to all policy CRs generated from a PolicyGenTemplate regardless of whether they are ztp-common, ztp-group, or ztp-site based, as shown using the following commands:
$ export NS=<namespace>
$ oc get policy -n $NS
The expected set of policy-wrapped CRs should be displayed.
If the policies failed synchronization, use the following troubleshooting steps.
Procedure
To display detailed information about the policies, run the following command:
$ oc describe -n openshift-gitops application policiesCheck for
Status: Conditions:to show the error logs. For example, setting an invalidsourceFile→fileName:generates the error shown below:Status: Conditions: Last Transition Time: 2021-11-26T17:21:39Z Message: rpc error: code = Unknown desc = `kustomize build /tmp/https___git.com/ran-sites/policies/ --enable-alpha-plugins` failed exit status 1: 2021/11/26 17:21:40 Error could not find test.yaml under source-crs/: no such file or directory Error: failure in plugin configured via /tmp/kust-plugin-config-52463179; exit status 1: exit status 1 Type: ComparisonErrorCheck for
Status: Sync:. If there are log errors atStatus: Conditions:, theStatus: Sync:showsUnknownorError:Status: Sync: Compared To: Destination: Namespace: policies-sub Server: https://kubernetes.default.svc Source: Path: policies Repo URL: https://git.com/ran-sites/policies/.git Target Revision: master Status: ErrorWhen Red Hat Advanced Cluster Management (RHACM) recognizes that policies apply to a
ManagedClusterobject, the policy CR objects are applied to the cluster namespace. Check to see if the policies were copied to the cluster namespace:$ oc get policy -n $CLUSTERExample output:
NAME REMEDIATION ACTION COMPLIANCE STATE AGE ztp-common.common-config-policy inform Compliant 13d ztp-common.common-subscriptions-policy inform Compliant 13d ztp-group.group-du-sno-config-policy inform Compliant 13d Ztp-group.group-du-sno-validator-du-policy inform Compliant 13d ztp-site.example-sno-config-policy inform Compliant 13dRHACM copies all applicable policies into the cluster namespace. The copied policy names have the format:
<policyGenTemplate.Namespace>.<policyGenTemplate.Name>-<policyName>.Check the placement rule for any policies not copied to the cluster namespace. The
matchSelectorin thePlacementRulefor those policies should match labels on theManagedClusterobject:$ oc get placementrule -n $NSNote the
PlacementRulename appropriate for the missing policy, common, group, or site, using the following command:$ oc get placementrule -n $NS <placementRuleName> -o yaml- The status-decisions should include your cluster name.
-
The key-value pair of the
matchSelectorin the spec must match the labels on your managed cluster.
Check the labels on the
ManagedClusterobject using the following command:$ oc get ManagedCluster $CLUSTER -o jsonpath='{.metadata.labels}' | jqCheck to see which policies are compliant using the following command:
$ oc get policy -n $CLUSTERIf the
Namespace,OperatorGroup, andSubscriptionpolicies are compliant but the Operator configuration policies are not, it is likely that the Operators did not install on the managed cluster. This causes the Operator configuration policies to fail to apply because the CRD is not yet applied to the spoke.
5.7. Restarting policy reconciliation Copiar enlaceEnlace copiado en el portapapeles!
You can restart policy reconciliation when unexpected compliance issues occur, for example, when the ClusterGroupUpgrade custom resource (CR) has timed out.
Procedure
A
ClusterGroupUpgradeCR is generated in the namespaceztp-installby the Topology Aware Lifecycle Manager after the managed cluster becomesReady:$ export CLUSTER=<clusterName>$ oc get clustergroupupgrades -n ztp-install $CLUSTERIf there are unexpected issues and the policies fail to become complaint within the configured timeout (the default is 4 hours), the status of the
ClusterGroupUpgradeCR showsUpgradeTimedOut:$ oc get clustergroupupgrades -n ztp-install $CLUSTER -o jsonpath='{.status.conditions[?(@.type=="Ready")]}'A
ClusterGroupUpgradeCR in theUpgradeTimedOutstate automatically restarts its policy reconciliation every hour. If you have changed your policies, you can start a retry immediately by deleting the existingClusterGroupUpgradeCR. This triggers the automatic creation of a newClusterGroupUpgradeCR that begins reconciling the policies immediately:$ oc delete clustergroupupgrades -n ztp-install $CLUSTER
Note that when the ClusterGroupUpgrade CR completes with status UpgradeCompleted and the managed cluster has the label ztp-done applied, you can make additional configuration changes using PolicyGenTemplate. Deleting the existing ClusterGroupUpgrade CR will not make the TALM generate a new CR.
At this point, GitOps ZTP has completed its interaction with the cluster and any further interactions should be treated as an update and a new ClusterGroupUpgrade CR created for remediation of the policies.
5.8. Changing applied managed cluster CRs using policies Copiar enlaceEnlace copiado en el portapapeles!
You can remove content from a custom resource (CR) that is deployed in a managed cluster through a policy.
By default, all Policy CRs created from a PolicyGenTemplate CR have the complianceType field set to musthave. A musthave policy without the removed content is still compliant because the CR on the managed cluster has all the specified content. With this configuration, when you remove content from a CR, TALM removes the content from the policy but the content is not removed from the CR on the managed cluster.
With the complianceType field to mustonlyhave, the policy ensures that the CR on the cluster is an exact match of what is specified in the policy.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have deployed a managed cluster from a hub cluster running RHACM.
- You have installed Topology Aware Lifecycle Manager on the hub cluster.
Procedure
Remove the content that you no longer need from the affected CRs. In this example, the
disableDrain: falseline was removed from theSriovOperatorConfigCR.Example CR
apiVersion: sriovnetwork.openshift.io/v1 kind: SriovOperatorConfig metadata: name: default namespace: openshift-sriov-network-operator spec: configDaemonNodeSelector: "node-role.kubernetes.io/$mcp": "" disableDrain: true enableInjector: true enableOperatorWebhook: trueChange the
complianceTypeof the affected policies tomustonlyhavein thegroup-du-sno-ranGen.yamlfile.Example YAML
# ... - fileName: SriovOperatorConfig.yaml policyName: "config-policy" complianceType: mustonlyhave # ...Create a
ClusterGroupUpdatesCR and specify the clusters that must receive the CR changes::Example ClusterGroupUpdates CR
apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-remove namespace: default spec: managedPolicies: - ztp-group.group-du-sno-config-policy enable: false clusters: - spoke1 - spoke2 remediationStrategy: maxConcurrency: 2 timeout: 240 batchTimeoutAction:Create the
ClusterGroupUpgradeCR by running the following command:$ oc create -f cgu-remove.yamlWhen you are ready to apply the changes, for example, during an appropriate maintenance window, change the value of the
spec.enablefield totrueby running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-remove \ --patch '{"spec":{"enable":true}}' --type=merge
Verification
Check the status of the policies by running the following command:
$ oc get <kind> <changed_cr_name>Example output
NAMESPACE NAME REMEDIATION ACTION COMPLIANCE STATE AGE default cgu-ztp-group.group-du-sno-config-policy enforce 17m default ztp-group.group-du-sno-config-policy inform NonCompliant 15hWhen the
COMPLIANCE STATEof the policy isCompliant, it means that the CR is updated and the unwanted content is removed.Check that the policies are removed from the targeted clusters by running the following command on the managed clusters:
$ oc get <kind> <changed_cr_name>If there are no results, the CR is removed from the managed cluster.
5.9. Indication of done for GitOps ZTP installations Copiar enlaceEnlace copiado en el portapapeles!
GitOps Zero Touch Provisioning (ZTP) simplifies the process of checking the GitOps ZTP installation status for a cluster. The GitOps ZTP status moves through three phases: cluster installation, cluster configuration, and GitOps ZTP done.
- Cluster installation phase
-
The cluster installation phase is shown by the
ManagedClusterJoinedandManagedClusterAvailableconditions in theManagedClusterCR . If theManagedClusterCR does not have these conditions, or the condition is set toFalse, the cluster is still in the installation phase. Additional details about installation are available from theAgentClusterInstallandClusterDeploymentCRs. For more information, see "Troubleshooting GitOps ZTP". - Cluster configuration phase
-
The cluster configuration phase is shown by a
ztp-runninglabel applied theManagedClusterCR for the cluster. - GitOps ZTP done
Cluster installation and configuration is complete in the GitOps ZTP done phase. This is shown by the removal of the
ztp-runninglabel and addition of theztp-donelabel to theManagedClusterCR. Theztp-donelabel shows that the configuration has been applied and the baseline DU configuration has completed cluster tuning.The transition to the GitOps ZTP done state is conditional on the compliant state of a Red Hat Advanced Cluster Management (RHACM) validator inform policy. This policy captures the existing criteria for a completed installation and validates that it moves to a compliant state only when GitOps ZTP provisioning of the managed cluster is complete.
The validator inform policy ensures the configuration of the cluster is fully applied and Operators have completed their initialization. The policy validates the following:
-
The target
MachineConfigPoolcontains the expected entries and has finished updating. All nodes are available and not degraded. -
The SR-IOV Operator has completed initialization as indicated by at least one
SriovNetworkNodeStatewithsyncStatus: Succeeded. - The PTP Operator daemon set exists.
-
The target
Chapter 6. Manually installing a single-node OpenShift cluster with ZTP Copiar enlaceEnlace copiado en el portapapeles!
You can deploy a managed single-node OpenShift cluster by using Red Hat Advanced Cluster Management (RHACM) and the assisted service.
If you are creating multiple managed clusters, use the SiteConfig method described in Deploying far edge sites with ZTP.
The target bare-metal host must meet the networking, firmware, and hardware requirements listed in Recommended cluster configuration for vDU application workloads.
6.1. Generating GitOps ZTP installation and configuration CRs manually Copiar enlaceEnlace copiado en el portapapeles!
Use the generator entrypoint for the ztp-site-generate container to generate the site installation and configuration custom resource (CRs) for a cluster based on SiteConfig and PolicyGenTemplate CRs.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges.
Procedure
Create an output folder by running the following command:
$ mkdir -p ./outExport the
argocddirectory from theztp-site-generatecontainer image:$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 extract /home/ztp --tar | tar x -C ./outThe
./outdirectory has the referencePolicyGenTemplateandSiteConfigCRs in theout/argocd/example/folder.Example output
out └── argocd └── example ├── policygentemplates │ ├── common-ranGen.yaml │ ├── example-sno-site.yaml │ ├── group-du-sno-ranGen.yaml │ ├── group-du-sno-validator-ranGen.yaml │ ├── kustomization.yaml │ └── ns.yaml └── siteconfig ├── example-sno.yaml ├── KlusterletAddonConfigOverride.yaml └── kustomization.yamlCreate an output folder for the site installation CRs:
$ mkdir -p ./site-installModify the example
SiteConfigCR for the cluster type that you want to install. Copyexample-sno.yamltosite-1-sno.yamland modify the CR to match the details of the site and bare-metal host that you want to install, for example:# example-node1-bmh-secret & assisted-deployment-pull-secret need to be created under same namespace example-sno --- apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "example-sno" namespace: "example-sno" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" clusterImageSetNameRef: "openshift-4.10" sshPublicKey: "ssh-rsa AAAA..." clusters: - clusterName: "example-sno" networkType: "OVNKubernetes" # installConfigOverrides is a generic way of passing install-config # parameters through the siteConfig. The 'capabilities' field configures # the composable openshift feature. In this 'capabilities' setting, we # remove all but the marketplace component from the optional set of # components. # Notes: # - OperatorLifecycleManager is needed for 4.15 and later # - NodeTuning is needed for 4.13 and later, not for 4.12 and earlier installConfigOverrides: | { "capabilities": { "baselineCapabilitySet": "None", "additionalEnabledCapabilities": [ "NodeTuning", "OperatorLifecycleManager" ] } } # It is strongly recommended to include crun manifests as part of the additional install-time manifests for 4.13+. # The crun manifests can be obtained from source-crs/optional-extra-manifest/ and added to the git repo ie.sno-extra-manifest. # extraManifestPath: sno-extra-manifest clusterLabels: # These example cluster labels correspond to the bindingRules in the PolicyGenTemplate examples du-profile: "latest" # These example cluster labels correspond to the bindingRules in the PolicyGenTemplate examples in ../policygentemplates: # ../policygentemplates/common-ranGen.yaml will apply to all clusters with 'common: true' common: true # ../policygentemplates/group-du-sno-ranGen.yaml will apply to all clusters with 'group-du-sno: ""' group-du-sno: "" # ../policygentemplates/example-sno-site.yaml will apply to all clusters with 'sites: "example-sno"' # Normally this should match or contain the cluster name so it only applies to a single cluster sites : "example-sno" clusterNetwork: - cidr: 1001:1::/48 hostPrefix: 64 machineNetwork: - cidr: 1111:2222:3333:4444::/64 serviceNetwork: - 1001:2::/112 additionalNTPSources: - 1111:2222:3333:4444::2 # Initiates the cluster for workload partitioning. Setting specific reserved/isolated CPUSets is done via PolicyTemplate # please see Workload Partitioning Feature for a complete guide. cpuPartitioningMode: AllNodes # Optionally; This can be used to override the KlusterletAddonConfig that is created for this cluster: #crTemplates: # KlusterletAddonConfig: "KlusterletAddonConfigOverride.yaml" nodes: - hostName: "example-node1.example.com" role: "master" # Optionally; This can be used to configure desired BIOS setting on a host: #biosConfigRef: # filePath: "example-hw.profile" bmcAddress: "idrac-virtualmedia+https://[1111:2222:3333:4444::bbbb:1]/redfish/v1/Systems/System.Embedded.1" bmcCredentialsName: name: "example-node1-bmh-secret" bootMACAddress: "AA:BB:CC:DD:EE:11" # Use UEFISecureBoot to enable secure boot bootMode: "UEFI" rootDeviceHints: deviceName: "/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0" # disk partition at `/var/lib/containers` with ignitionConfigOverride. Some values must be updated. See DiskPartitionContainer.md for more details ignitionConfigOverride: | { "ignition": { "version": "3.2.0" }, "storage": { "disks": [ { "device": "/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0", "partitions": [ { "label": "var-lib-containers", "sizeMiB": 0, "startMiB": 250000 } ], "wipeTable": false } ], "filesystems": [ { "device": "/dev/disk/by-partlabel/var-lib-containers", "format": "xfs", "mountOptions": [ "defaults", "prjquota" ], "path": "/var/lib/containers", "wipeFilesystem": true } ] }, "systemd": { "units": [ { "contents": "# Generated by Butane\n[Unit]\nRequires=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\nAfter=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\n\n[Mount]\nWhere=/var/lib/containers\nWhat=/dev/disk/by-partlabel/var-lib-containers\nType=xfs\nOptions=defaults,prjquota\n\n[Install]\nRequiredBy=local-fs.target", "enabled": true, "name": "var-lib-containers.mount" } ] } } nodeNetwork: interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up ipv4: enabled: false ipv6: enabled: true address: # For SNO sites with static IP addresses, the node-specific, # API and Ingress IPs should all be the same and configured on # the interface - ip: 1111:2222:3333:4444::aaaa:1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254NoteOnce you have extracted reference CR configuration files from the
out/extra-manifestdirectory of theztp-site-generatecontainer, you can useextraManifests.searchPathsto include the path to the git directory containing those files. This allows the GitOps ZTP pipeline to apply those CR files during cluster installation. If you configure asearchPathsdirectory, the GitOps ZTP pipeline does not fetch manifests from theztp-site-generatecontainer during site installation.Generate the Day 0 installation CRs by processing the modified
SiteConfigCRsite-1-sno.yamlby running the following command:$ podman run -it --rm -v `pwd`/out/argocd/example/siteconfig:/resources:Z -v `pwd`/site-install:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 generator install site-1-sno.yaml /outputExample output
site-install └── site-1-sno ├── site-1_agentclusterinstall_example-sno.yaml ├── site-1-sno_baremetalhost_example-node1.example.com.yaml ├── site-1-sno_clusterdeployment_example-sno.yaml ├── site-1-sno_configmap_example-sno.yaml ├── site-1-sno_infraenv_example-sno.yaml ├── site-1-sno_klusterletaddonconfig_example-sno.yaml ├── site-1-sno_machineconfig_02-master-workload-partitioning.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-master.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-worker.yaml ├── site-1-sno_managedcluster_example-sno.yaml ├── site-1-sno_namespace_example-sno.yaml └── site-1-sno_nmstateconfig_example-node1.example.com.yamlOptional: Generate just the Day 0
MachineConfiginstallation CRs for a particular cluster type by processing the referenceSiteConfigCR with the-Eoption. For example, run the following commands:Create an output folder for the
MachineConfigCRs:$ mkdir -p ./site-machineconfigGenerate the
MachineConfiginstallation CRs:$ podman run -it --rm -v `pwd`/out/argocd/example/siteconfig:/resources:Z -v `pwd`/site-machineconfig:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 generator install -E site-1-sno.yaml /outputExample output
site-machineconfig └── site-1-sno ├── site-1-sno_machineconfig_02-master-workload-partitioning.yaml ├── site-1-sno_machineconfig_predefined-extra-manifests-master.yaml └── site-1-sno_machineconfig_predefined-extra-manifests-worker.yaml
Generate and export the Day 2 configuration CRs using the reference
PolicyGenTemplateCRs from the previous step. Run the following commands:Create an output folder for the Day 2 CRs:
$ mkdir -p ./refGenerate and export the Day 2 configuration CRs:
$ podman run -it --rm -v `pwd`/out/argocd/example/policygentemplates:/resources:Z -v `pwd`/ref:/output:Z,U registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15 generator config -N . /outputThe command generates example group and site-specific
PolicyGenTemplateCRs for single-node OpenShift, three-node clusters, and standard clusters in the./reffolder.Example output
ref └── customResource ├── common ├── example-multinode-site ├── example-sno ├── group-du-3node ├── group-du-3node-validator │ └── Multiple-validatorCRs ├── group-du-sno ├── group-du-sno-validator ├── group-du-standard └── group-du-standard-validator └── Multiple-validatorCRs
- Use the generated CRs as the basis for the CRs that you use to install the cluster. You apply the installation CRs to the hub cluster as described in "Installing a single managed cluster". The configuration CRs can be applied to the cluster after cluster installation is complete.
Verification
Verify that the custom roles and labels are applied after the node is deployed:
$ oc describe node example-node.example.com
Example output
Name: example-node.example.com
Roles: control-plane,example-label,master,worker
Labels: beta.kubernetes.io/arch=amd64
beta.kubernetes.io/os=linux
custom-label/parameter1=true
kubernetes.io/arch=amd64
kubernetes.io/hostname=cnfdf03.telco5gran.eng.rdu2.redhat.com
kubernetes.io/os=linux
node-role.kubernetes.io/control-plane=
node-role.kubernetes.io/example-label=
node-role.kubernetes.io/master=
node-role.kubernetes.io/worker=
node.openshift.io/os_id=rhcos
- 1
- The custom label is applied to the node.
6.2. Creating the managed bare-metal host secrets Copiar enlaceEnlace copiado en el portapapeles!
Add the required Secret custom resources (CRs) for the managed bare-metal host to the hub cluster. You need a secret for the GitOps Zero Touch Provisioning (ZTP) pipeline to access the Baseboard Management Controller (BMC) and a secret for the assisted installer service to pull cluster installation images from the registry.
The secrets are referenced from the SiteConfig CR by name. The namespace must match the SiteConfig namespace.
Procedure
Create a YAML secret file containing credentials for the host Baseboard Management Controller (BMC) and a pull secret required for installing OpenShift and all add-on cluster Operators:
Save the following YAML as the file
example-sno-secret.yaml:apiVersion: v1 kind: Secret metadata: name: example-sno-bmc-secret namespace: example-sno1 data:2 password: <base64_password> username: <base64_username> type: Opaque --- apiVersion: v1 kind: Secret metadata: name: pull-secret namespace: example-sno3 data: .dockerconfigjson: <pull_secret>4 type: kubernetes.io/dockerconfigjson
-
Add the relative path to
example-sno-secret.yamlto thekustomization.yamlfile that you use to install the cluster.
6.3. Configuring Discovery ISO kernel arguments for manual installations using GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
The GitOps Zero Touch Provisioning (ZTP) workflow uses the Discovery ISO as part of the OpenShift Container Platform installation process on managed bare-metal hosts. You can edit the InfraEnv resource to specify kernel arguments for the Discovery ISO. This is useful for cluster installations with specific environmental requirements. For example, configure the rd.net.timeout.carrier kernel argument for the Discovery ISO to facilitate static networking for the cluster or to receive a DHCP address before downloading the root file system during installation.
In OpenShift Container Platform 4.15, you can only add kernel arguments. You can not replace or delete kernel arguments.
Prerequisites
- You have installed the OpenShift CLI (oc).
- You have logged in to the hub cluster as a user with cluster-admin privileges.
- You have manually generated the installation and configuration custom resources (CRs).
Procedure
-
Edit the
spec.kernelArgumentsspecification in theInfraEnvCR to configure kernel arguments:
apiVersion: agent-install.openshift.io/v1beta1
kind: InfraEnv
metadata:
name: <cluster_name>
namespace: <cluster_name>
spec:
kernelArguments:
- operation: append
value: audit=0
- operation: append
value: trace=1
clusterRef:
name: <cluster_name>
namespace: <cluster_name>
pullSecretRef:
name: pull-secret
The SiteConfig CR generates the InfraEnv resource as part of the day-0 installation CRs.
Verification
To verify that the kernel arguments are applied, after the Discovery image verifies that OpenShift Container Platform is ready for installation, you can SSH to the target host before the installation process begins. At that point, you can view the kernel arguments for the Discovery ISO in the /proc/cmdline file.
Begin an SSH session with the target host:
$ ssh -i /path/to/privatekey core@<host_name>View the system’s kernel arguments by using the following command:
$ cat /proc/cmdline
6.4. Installing a single managed cluster Copiar enlaceEnlace copiado en el portapapeles!
You can manually deploy a single managed cluster using the assisted service and Red Hat Advanced Cluster Management (RHACM).
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. -
You have created the baseboard management controller (BMC)
Secretand the image pull-secretSecretcustom resources (CRs). See "Creating the managed bare-metal host secrets" for details. - Your target bare-metal host meets the networking and hardware requirements for managed clusters.
Procedure
Create a
ClusterImageSetfor each specific cluster version to be deployed, for exampleclusterImageSet-4.15.yaml. AClusterImageSethas the following format:apiVersion: hive.openshift.io/v1 kind: ClusterImageSet metadata: name: openshift-4.15.01 spec: releaseImage: quay.io/openshift-release-dev/ocp-release:4.15.0-x86_642 Apply the
clusterImageSetCR:$ oc apply -f clusterImageSet-4.15.yamlCreate the
NamespaceCR in thecluster-namespace.yamlfile:apiVersion: v1 kind: Namespace metadata: name: <cluster_name>1 labels: name: <cluster_name>2 Apply the
NamespaceCR by running the following command:$ oc apply -f cluster-namespace.yamlApply the generated day-0 CRs that you extracted from the
ztp-site-generatecontainer and customized to meet your requirements:$ oc apply -R ./site-install/site-sno-1
6.5. Monitoring the managed cluster installation status Copiar enlaceEnlace copiado en el portapapeles!
Ensure that cluster provisioning was successful by checking the cluster status.
Prerequisites
-
All of the custom resources have been configured and provisioned, and the
Agentcustom resource is created on the hub for the managed cluster.
Procedure
Check the status of the managed cluster:
$ oc get managedclusterTrueindicates the managed cluster is ready.Check the agent status:
$ oc get agent -n <cluster_name>Use the
describecommand to provide an in-depth description of the agent’s condition. Statuses to be aware of includeBackendError,InputError,ValidationsFailing,InstallationFailed, andAgentIsConnected. These statuses are relevant to theAgentandAgentClusterInstallcustom resources.$ oc describe agent -n <cluster_name>Check the cluster provisioning status:
$ oc get agentclusterinstall -n <cluster_name>Use the
describecommand to provide an in-depth description of the cluster provisioning status:$ oc describe agentclusterinstall -n <cluster_name>Check the status of the managed cluster’s add-on services:
$ oc get managedclusteraddon -n <cluster_name>Retrieve the authentication information of the
kubeconfigfile for the managed cluster:$ oc get secret -n <cluster_name> <cluster_name>-admin-kubeconfig -o jsonpath={.data.kubeconfig} | base64 -d > <directory>/<cluster_name>-kubeconfig
6.6. Troubleshooting the managed cluster Copiar enlaceEnlace copiado en el portapapeles!
Use this procedure to diagnose any installation issues that might occur with the managed cluster.
Procedure
Check the status of the managed cluster:
$ oc get managedclusterExample output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE SNO-cluster true True True 2d19hIf the status in the
AVAILABLEcolumn isTrue, the managed cluster is being managed by the hub.If the status in the
AVAILABLEcolumn isUnknown, the managed cluster is not being managed by the hub. Use the following steps to continue checking to get more information.Check the
AgentClusterInstallinstall status:$ oc get clusterdeployment -n <cluster_name>Example output
NAME PLATFORM REGION CLUSTERTYPE INSTALLED INFRAID VERSION POWERSTATE AGE Sno0026 agent-baremetal false Initialized 2d14hIf the status in the
INSTALLEDcolumn isfalse, the installation was unsuccessful.If the installation failed, enter the following command to review the status of the
AgentClusterInstallresource:$ oc describe agentclusterinstall -n <cluster_name> <cluster_name>Resolve the errors and reset the cluster:
Remove the cluster’s managed cluster resource:
$ oc delete managedcluster <cluster_name>Remove the cluster’s namespace:
$ oc delete namespace <cluster_name>This deletes all of the namespace-scoped custom resources created for this cluster. You must wait for the
ManagedClusterCR deletion to complete before proceeding.- Recreate the custom resources for the managed cluster.
6.7. RHACM generated cluster installation CRs reference Copiar enlaceEnlace copiado en el portapapeles!
Red Hat Advanced Cluster Management (RHACM) supports deploying OpenShift Container Platform on single-node clusters, three-node clusters, and standard clusters with a specific set of installation custom resources (CRs) that you generate using SiteConfig CRs for each site.
Every managed cluster has its own namespace, and all of the installation CRs except for ManagedCluster and ClusterImageSet are under that namespace. ManagedCluster and ClusterImageSet are cluster-scoped, not namespace-scoped. The namespace and the CR names match the cluster name.
The following table lists the installation CRs that are automatically applied by the RHACM assisted service when it installs clusters using the SiteConfig CRs that you configure.
| CR | Description | Usage |
|---|---|---|
|
| Contains the connection information for the Baseboard Management Controller (BMC) of the target bare-metal host. | Provides access to the BMC to load and start the discovery image on the target server by using the Redfish protocol. |
|
| Contains information for installing OpenShift Container Platform on the target bare-metal host. |
Used with |
|
|
Specifies details of the managed cluster configuration such as networking and the number of control plane nodes. Displays the cluster | Specifies the managed cluster configuration information and provides status during the installation of the cluster. |
|
|
References the |
Used with |
|
|
Provides network configuration information such as | Sets up a static IP address for the managed cluster’s Kube API server. |
|
| Contains hardware information about the target bare-metal host. | Created automatically on the hub when the target machine’s discovery image boots. |
|
| When a cluster is managed by the hub, it must be imported and known. This Kubernetes object provides that interface. | The hub uses this resource to manage and show the status of managed clusters. |
|
|
Contains the list of services provided by the hub to be deployed to the |
Tells the hub which addon services to deploy to the |
|
|
Logical space for |
Propagates resources to the |
|
|
Two CRs are created: |
|
|
| Contains OpenShift Container Platform image information such as the repository and image name. | Passed into resources to provide OpenShift Container Platform images. |
Chapter 7. Recommended single-node OpenShift cluster configuration for vDU application workloads Copiar enlaceEnlace copiado en el portapapeles!
Use the following reference information to understand the single-node OpenShift configurations required to deploy virtual distributed unit (vDU) applications in the cluster. Configurations include cluster optimizations for high performance workloads, enabling workload partitioning, and minimizing the number of reboots required postinstallation.
7.1. Running low latency applications on OpenShift Container Platform Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform enables low latency processing for applications running on commercial off-the-shelf (COTS) hardware by using several technologies and specialized hardware devices:
- Real-time kernel for RHCOS
- Ensures workloads are handled with a high degree of process determinism.
- CPU isolation
- Avoids CPU scheduling delays and ensures CPU capacity is available consistently.
- NUMA-aware topology management
- Aligns memory and huge pages with CPU and PCI devices to pin guaranteed container memory and huge pages to the non-uniform memory access (NUMA) node. Pod resources for all Quality of Service (QoS) classes stay on the same NUMA node. This decreases latency and improves performance of the node.
- Huge pages memory management
- Using huge page sizes improves system performance by reducing the amount of system resources required to access page tables.
- Precision timing synchronization using PTP
- Allows synchronization between nodes in the network with sub-microsecond accuracy.
7.2. Recommended cluster host requirements for vDU application workloads Copiar enlaceEnlace copiado en el portapapeles!
Running vDU application workloads requires a bare-metal host with sufficient resources to run OpenShift Container Platform services and production workloads.
| Profile | vCPU | Memory | Storage |
|---|---|---|---|
| Minimum | 4 to 8 vCPU | 32GB of RAM | 120GB |
One vCPU equals one physical core. However, if you enable simultaneous multithreading (SMT), or Hyper-Threading, use the following formula to calculate the number of vCPUs that represent one physical core:
- (threads per core × cores) × sockets = vCPUs
The server must have a Baseboard Management Controller (BMC) when booting with virtual media.
7.3. Configuring host firmware for low latency and high performance Copiar enlaceEnlace copiado en el portapapeles!
Bare-metal hosts require the firmware to be configured before the host can be provisioned. The firmware configuration is dependent on the specific hardware and the particular requirements of your installation.
Procedure
-
Set the UEFI/BIOS Boot Mode to
UEFI. - In the host boot sequence order, set Hard drive first.
Apply the specific firmware configuration for your hardware. The following table describes a representative firmware configuration for an Intel Xeon Skylake or Intel Cascade Lake server, based on the Intel FlexRAN 4G and 5G baseband PHY reference design.
ImportantThe exact firmware configuration depends on your specific hardware and network requirements. The following sample configuration is for illustrative purposes only.
Expand Table 7.2. Sample firmware configuration for an Intel Xeon Skylake or Cascade Lake server Firmware setting Configuration CPU Power and Performance Policy
Performance
Uncore Frequency Scaling
Disabled
Performance P-limit
Disabled
Enhanced Intel SpeedStep ® Tech
Enabled
Intel Configurable TDP
Enabled
Configurable TDP Level
Level 2
Intel® Turbo Boost Technology
Enabled
Energy Efficient Turbo
Disabled
Hardware P-States
Disabled
Package C-State
C0/C1 state
C1E
Disabled
Processor C6
Disabled
Enable global SR-IOV and VT-d settings in the firmware for the host. These settings are relevant to bare-metal environments.
7.4. Connectivity prerequisites for managed cluster networks Copiar enlaceEnlace copiado en el portapapeles!
Before you can install and provision a managed cluster with the GitOps Zero Touch Provisioning (ZTP) pipeline, the managed cluster host must meet the following networking prerequisites:
- There must be bi-directional connectivity between the GitOps ZTP container in the hub cluster and the Baseboard Management Controller (BMC) of the target bare-metal host.
The managed cluster must be able to resolve and reach the API hostname of the hub hostname and
*.appshostname. Here is an example of the API hostname of the hub and*.appshostname:-
api.hub-cluster.internal.domain.com -
console-openshift-console.apps.hub-cluster.internal.domain.com
-
The hub cluster must be able to resolve and reach the API and
*.appshostname of the managed cluster. Here is an example of the API hostname of the managed cluster and*.appshostname:-
api.sno-managed-cluster-1.internal.domain.com -
console-openshift-console.apps.sno-managed-cluster-1.internal.domain.com
-
7.5. Workload partitioning in single-node OpenShift with GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
Workload partitioning configures OpenShift Container Platform services, cluster management workloads, and infrastructure pods to run on a reserved number of host CPUs.
To configure workload partitioning with GitOps Zero Touch Provisioning (ZTP), you configure a cpuPartitioningMode field in the SiteConfig custom resource (CR) that you use to install the cluster and you apply a PerformanceProfile CR that configures the isolated and reserved CPUs on the host.
Configuring the SiteConfig CR enables workload partitioning at cluster installation time and applying the PerformanceProfile CR configures the specific allocation of CPUs to reserved and isolated sets. Both of these steps happen at different points during cluster provisioning.
Configuring workload partitioning by using the cpuPartitioningMode field in the SiteConfig CR is a Tech Preview feature in OpenShift Container Platform 4.13.
Alternatively, you can specify cluster management CPU resources with the cpuset field of the SiteConfig custom resource (CR) and the reserved field of the group PolicyGenTemplate CR. The GitOps ZTP pipeline uses these values to populate the required fields in the workload partitioning MachineConfig CR (cpuset) and the PerformanceProfile CR (reserved) that configure the single-node OpenShift cluster. This method is a General Availability feature in OpenShift Container Platform 4.14.
The workload partitioning configuration pins the OpenShift Container Platform infrastructure pods to the reserved CPU set. Platform services such as systemd, CRI-O, and kubelet run on the reserved CPU set. The isolated CPU sets are exclusively allocated to your container workloads. Isolating CPUs ensures that the workload has guaranteed access to the specified CPUs without contention from other applications running on the same node. All CPUs that are not isolated should be reserved.
Ensure that reserved and isolated CPU sets do not overlap with each other.
7.6. Recommended cluster install manifests Copiar enlaceEnlace copiado en el portapapeles!
The ZTP pipeline applies the following custom resources (CRs) during cluster installation. These configuration CRs ensure that the cluster meets the feature and performance requirements necessary for running a vDU application.
When using the GitOps ZTP plugin and SiteConfig CRs for cluster deployment, the following MachineConfig CRs are included by default.
Use the SiteConfig extraManifests filter to alter the CRs that are included by default. For more information, see Advanced managed cluster configuration with SiteConfig CRs.
7.6.1. Workload partitioning Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require workload partitioning. This limits the cores allowed to run platform services, maximizing the CPU core for application payloads.
Workload partitioning can be enabled during cluster installation only. You cannot disable workload partitioning postinstallation. You can however change the set of CPUs assigned to the isolated and reserved sets through the PerformanceProfile CR. Changes to CPU settings cause the node to reboot.
When transitioning to using cpuPartitioningMode for enabling workload partitioning, remove the workload partitioning MachineConfig CRs from the /extra-manifest folder that you use to provision the cluster.
Recommended SiteConfig CR configuration for workload partitioning
apiVersion: ran.openshift.io/v1
kind: SiteConfig
metadata:
name: "<site_name>"
namespace: "<site_name>"
spec:
baseDomain: "example.com"
cpuPartitioningMode: AllNodes
- 1
- Set the
cpuPartitioningModefield toAllNodesto configure workload partitioning for all nodes in the cluster.
Verification
Check that the applications and cluster system CPU pinning is correct. Run the following commands:
Open a remote shell prompt to the managed cluster:
$ oc debug node/example-sno-1Check that the OpenShift infrastructure applications CPU pinning is correct:
sh-4.4# pgrep ovn | while read i; do taskset -cp $i; doneExample output
pid 8481's current affinity list: 0-1,52-53 pid 8726's current affinity list: 0-1,52-53 pid 9088's current affinity list: 0-1,52-53 pid 9945's current affinity list: 0-1,52-53 pid 10387's current affinity list: 0-1,52-53 pid 12123's current affinity list: 0-1,52-53 pid 13313's current affinity list: 0-1,52-53Check that the system applications CPU pinning is correct:
sh-4.4# pgrep systemd | while read i; do taskset -cp $i; doneExample output
pid 1's current affinity list: 0-1,52-53 pid 938's current affinity list: 0-1,52-53 pid 962's current affinity list: 0-1,52-53 pid 1197's current affinity list: 0-1,52-53
7.6.2. Reduced platform management footprint Copiar enlaceEnlace copiado en el portapapeles!
To reduce the overall management footprint of the platform, a MachineConfig custom resource (CR) is required that places all Kubernetes-specific mount points in a new namespace separate from the host operating system. The following base64-encoded example MachineConfig CR illustrates this configuration.
Recommended container mount namespace configuration (01-container-mount-ns-and-kubelet-conf-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: container-mount-namespace-and-kubelet-conf-master
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,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
mode: 493
path: /usr/local/bin/extractExecStart
- contents:
source: data:text/plain;charset=utf-8;base64,IyEvYmluL2Jhc2gKbnNlbnRlciAtLW1vdW50PS9ydW4vY29udGFpbmVyLW1vdW50LW5hbWVzcGFjZS9tbnQgIiRAIgo=
mode: 493
path: /usr/local/bin/nsenterCmns
systemd:
units:
- contents: |
[Unit]
Description=Manages a mount namespace that both kubelet and crio can use to share their container-specific mounts
[Service]
Type=oneshot
RemainAfterExit=yes
RuntimeDirectory=container-mount-namespace
Environment=RUNTIME_DIRECTORY=%t/container-mount-namespace
Environment=BIND_POINT=%t/container-mount-namespace/mnt
ExecStartPre=bash -c "findmnt ${RUNTIME_DIRECTORY} || mount --make-unbindable --bind ${RUNTIME_DIRECTORY} ${RUNTIME_DIRECTORY}"
ExecStartPre=touch ${BIND_POINT}
ExecStart=unshare --mount=${BIND_POINT} --propagation slave mount --make-rshared /
ExecStop=umount -R ${RUNTIME_DIRECTORY}
name: container-mount-namespace.service
- dropins:
- contents: |
[Unit]
Wants=container-mount-namespace.service
After=container-mount-namespace.service
[Service]
ExecStartPre=/usr/local/bin/extractExecStart %n /%t/%N-execstart.env ORIG_EXECSTART
EnvironmentFile=-/%t/%N-execstart.env
ExecStart=
ExecStart=bash -c "nsenter --mount=%t/container-mount-namespace/mnt \
${ORIG_EXECSTART}"
name: 90-container-mount-namespace.conf
name: crio.service
- dropins:
- contents: |
[Unit]
Wants=container-mount-namespace.service
After=container-mount-namespace.service
[Service]
ExecStartPre=/usr/local/bin/extractExecStart %n /%t/%N-execstart.env ORIG_EXECSTART
EnvironmentFile=-/%t/%N-execstart.env
ExecStart=
ExecStart=bash -c "nsenter --mount=%t/container-mount-namespace/mnt \
${ORIG_EXECSTART} --housekeeping-interval=30s"
name: 90-container-mount-namespace.conf
- contents: |
[Service]
Environment="OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATION=60s"
Environment="OPENSHIFT_EVICTION_MONITORING_PERIOD_DURATION=30s"
name: 30-kubelet-interval-tuning.conf
name: kubelet.service
7.6.3. SCTP Copiar enlaceEnlace copiado en el portapapeles!
Stream Control Transmission Protocol (SCTP) is a key protocol used in RAN applications. This MachineConfig object adds the SCTP kernel module to the node to enable this protocol.
Recommended control plane node SCTP configuration (03-sctp-machine-config-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: load-sctp-module-master
spec:
config:
ignition:
version: 2.2.0
storage:
files:
- contents:
source: data:,
verification: {}
filesystem: root
mode: 420
path: /etc/modprobe.d/sctp-blacklist.conf
- contents:
source: data:text/plain;charset=utf-8,sctp
filesystem: root
mode: 420
path: /etc/modules-load.d/sctp-load.conf
Recommended worker node SCTP configuration (03-sctp-machine-config-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: load-sctp-module-worker
spec:
config:
ignition:
version: 2.2.0
storage:
files:
- contents:
source: data:,
verification: {}
filesystem: root
mode: 420
path: /etc/modprobe.d/sctp-blacklist.conf
- contents:
source: data:text/plain;charset=utf-8,sctp
filesystem: root
mode: 420
path: /etc/modules-load.d/sctp-load.conf
7.6.4. Setting rcu_normal Copiar enlaceEnlace copiado en el portapapeles!
The following MachineConfig CR configures the system to set rcu_normal to 1 after the system has finished startup. This improves kernel latency for vDU applications.
Recommended configuration for disabling rcu_expedited after the node has finished startup (08-set-rcu-normal-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 08-set-rcu-normal-master
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,IyEvYmluL2Jhc2gKIwojIERpc2FibGUgcmN1X2V4cGVkaXRlZCBhZnRlciBub2RlIGhhcyBmaW5pc2hlZCBib290aW5nCiMKIyBUaGUgZGVmYXVsdHMgYmVsb3cgY2FuIGJlIG92ZXJyaWRkZW4gdmlhIGVudmlyb25tZW50IHZhcmlhYmxlcwojCgojIERlZmF1bHQgd2FpdCB0aW1lIGlzIDYwMHMgPSAxMG06Ck1BWElNVU1fV0FJVF9USU1FPSR7TUFYSU1VTV9XQUlUX1RJTUU6LTYwMH0KCiMgRGVmYXVsdCBzdGVhZHktc3RhdGUgdGhyZXNob2xkID0gMiUKIyBBbGxvd2VkIHZhbHVlczoKIyAgNCAgLSBhYnNvbHV0ZSBwb2QgY291bnQgKCsvLSkKIyAgNCUgLSBwZXJjZW50IGNoYW5nZSAoKy8tKQojICAtMSAtIGRpc2FibGUgdGhlIHN0ZWFkeS1zdGF0ZSBjaGVjawpTVEVBRFlfU1RBVEVfVEhSRVNIT0xEPSR7U1RFQURZX1NUQVRFX1RIUkVTSE9MRDotMiV9CgojIERlZmF1bHQgc3RlYWR5LXN0YXRlIHdpbmRvdyA9IDYwcwojIElmIHRoZSBydW5uaW5nIHBvZCBjb3VudCBzdGF5cyB3aXRoaW4gdGhlIGdpdmVuIHRocmVzaG9sZCBmb3IgdGhpcyB0aW1lCiMgcGVyaW9kLCByZXR1cm4gQ1BVIHV0aWxpemF0aW9uIHRvIG5vcm1hbCBiZWZvcmUgdGhlIG1heGltdW0gd2FpdCB0aW1lIGhhcwojIGV4cGlyZXMKU1RFQURZX1NUQVRFX1dJTkRPVz0ke1NURUFEWV9TVEFURV9XSU5ET1c6LTYwfQoKIyBEZWZhdWx0IHN0ZWFkeS1zdGF0ZSBhbGxvd3MgYW55IHBvZCBjb3VudCB0byBiZSAic3RlYWR5IHN0YXRlIgojIEluY3JlYXNpbmcgdGhpcyB3aWxsIHNraXAgYW55IHN0ZWFkeS1zdGF0ZSBjaGVja3MgdW50aWwgdGhlIGNvdW50IHJpc2VzIGFib3ZlCiMgdGhpcyBudW1iZXIgdG8gYXZvaWQgZmFsc2UgcG9zaXRpdmVzIGlmIHRoZXJlIGFyZSBzb21lIHBlcmlvZHMgd2hlcmUgdGhlCiMgY291bnQgZG9lc24ndCBpbmNyZWFzZSBidXQgd2Uga25vdyB3ZSBjYW4ndCBiZSBhdCBzdGVhZHktc3RhdGUgeWV0LgpTVEVBRFlfU1RBVEVfTUlOSU1VTT0ke1NURUFEWV9TVEFURV9NSU5JTVVNOi0wfQoKIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIwoKd2l0aGluKCkgewogIGxvY2FsIGxhc3Q9JDEgY3VycmVudD0kMiB0aHJlc2hvbGQ9JDMKICBsb2NhbCBkZWx0YT0wIHBjaGFuZ2UKICBkZWx0YT0kKCggY3VycmVudCAtIGxhc3QgKSkKICBpZiBbWyAkY3VycmVudCAtZXEgJGxhc3QgXV07IHRoZW4KICAgIHBjaGFuZ2U9MAogIGVsaWYgW1sgJGxhc3QgLWVxIDAgXV07IHRoZW4KICAgIHBjaGFuZ2U9MTAwMDAwMAogIGVsc2UKICAgIHBjaGFuZ2U9JCgoICggIiRkZWx0YSIgKiAxMDApIC8gbGFzdCApKQogIGZpCiAgZWNobyAtbiAibGFzdDokbGFzdCBjdXJyZW50OiRjdXJyZW50IGRlbHRhOiRkZWx0YSBwY2hhbmdlOiR7cGNoYW5nZX0lOiAiCiAgbG9jYWwgYWJzb2x1dGUgbGltaXQKICBjYXNlICR0aHJlc2hvbGQgaW4KICAgIColKQogICAgICBhYnNvbHV0ZT0ke3BjaGFuZ2UjIy19ICMgYWJzb2x1dGUgdmFsdWUKICAgICAgbGltaXQ9JHt0aHJlc2hvbGQlJSV9CiAgICAgIDs7CiAgICAqKQogICAgICBhYnNvbHV0ZT0ke2RlbHRhIyMtfSAjIGFic29sdXRlIHZhbHVlCiAgICAgIGxpbWl0PSR0aHJlc2hvbGQKICAgICAgOzsKICBlc2FjCiAgaWYgW1sgJGFic29sdXRlIC1sZSAkbGltaXQgXV07IHRoZW4KICAgIGVjaG8gIndpdGhpbiAoKy8tKSR0aHJlc2hvbGQiCiAgICByZXR1cm4gMAogIGVsc2UKICAgIGVjaG8gIm91dHNpZGUgKCsvLSkkdGhyZXNob2xkIgogICAgcmV0dXJuIDEKICBmaQp9CgpzdGVhZHlzdGF0ZSgpIHsKICBsb2NhbCBsYXN0PSQxIGN1cnJlbnQ9JDIKICBpZiBbWyAkbGFzdCAtbHQgJFNURUFEWV9TVEFURV9NSU5JTVVNIF1dOyB0aGVuCiAgICBlY2hvICJsYXN0OiRsYXN0IGN1cnJlbnQ6JGN1cnJlbnQgV2FpdGluZyB0byByZWFjaCAkU1RFQURZX1NUQVRFX01JTklNVU0gYmVmb3JlIGNoZWNraW5nIGZvciBzdGVhZHktc3RhdGUiCiAgICByZXR1cm4gMQogIGZpCiAgd2l0aGluICIkbGFzdCIgIiRjdXJyZW50IiAiJFNURUFEWV9TVEFURV9USFJFU0hPTEQiCn0KCndhaXRGb3JSZWFkeSgpIHsKICBsb2dnZXIgIlJlY292ZXJ5OiBXYWl0aW5nICR7TUFYSU1VTV9XQUlUX1RJTUV9cyBmb3IgdGhlIGluaXRpYWxpemF0aW9uIHRvIGNvbXBsZXRlIgogIGxvY2FsIHQ9MCBzPTEwCiAgbG9jYWwgbGFzdENjb3VudD0wIGNjb3VudD0wIHN0ZWFkeVN0YXRlVGltZT0wCiAgd2hpbGUgW1sgJHQgLWx0ICRNQVhJTVVNX1dBSVRfVElNRSBdXTsgZG8KICAgIHNsZWVwICRzCiAgICAoKHQgKz0gcykpCiAgICAjIERldGVjdCBzdGVhZHktc3RhdGUgcG9kIGNvdW50CiAgICBjY291bnQ9JChjcmljdGwgcHMgMj4vZGV2L251bGwgfCB3YyAtbCkKICAgIGlmIFtbICRjY291bnQgLWd0IDAgXV0gJiYgc3RlYWR5c3RhdGUgIiRsYXN0Q2NvdW50IiAiJGNjb3VudCI7IHRoZW4KICAgICAgKChzdGVhZHlTdGF0ZVRpbWUgKz0gcykpCiAgICAgIGVjaG8gIlN0ZWFkeS1zdGF0ZSBmb3IgJHtzdGVhZHlTdGF0ZVRpbWV9cy8ke1NURUFEWV9TVEFURV9XSU5ET1d9cyIKICAgICAgaWYgW1sgJHN0ZWFkeVN0YXRlVGltZSAtZ2UgJFNURUFEWV9TVEFURV9XSU5ET1cgXV07IHRoZW4KICAgICAgICBsb2dnZXIgIlJlY292ZXJ5OiBTdGVhZHktc3RhdGUgKCsvLSAkU1RFQURZX1NUQVRFX1RIUkVTSE9MRCkgZm9yICR7U1RFQURZX1NUQVRFX1dJTkRPV31zOiBEb25lIgogICAgICAgIHJldHVybiAwCiAgICAgIGZpCiAgICBlbHNlCiAgICAgIGlmIFtbICRzdGVhZHlTdGF0ZVRpbWUgLWd0IDAgXV07IHRoZW4KICAgICAgICBlY2hvICJSZXNldHRpbmcgc3RlYWR5LXN0YXRlIHRpbWVyIgogICAgICAgIHN0ZWFkeVN0YXRlVGltZT0wCiAgICAgIGZpCiAgICBmaQogICAgbGFzdENjb3VudD0kY2NvdW50CiAgZG9uZQogIGxvZ2dlciAiUmVjb3Zlcnk6IFJlY292ZXJ5IENvbXBsZXRlIFRpbWVvdXQiCn0KCnNldFJjdU5vcm1hbCgpIHsKICBlY2hvICJTZXR0aW5nIHJjdV9ub3JtYWwgdG8gMSIKICBlY2hvIDEgPiAvc3lzL2tlcm5lbC9yY3Vfbm9ybWFsCn0KCm1haW4oKSB7CiAgd2FpdEZvclJlYWR5CiAgZWNobyAiV2FpdGluZyBmb3Igc3RlYWR5IHN0YXRlIHRvb2s6ICQoYXdrICd7cHJpbnQgaW50KCQxLzM2MDApImgiLCBpbnQoKCQxJTM2MDApLzYwKSJtIiwgaW50KCQxJTYwKSJzIn0nIC9wcm9jL3VwdGltZSkiCiAgc2V0UmN1Tm9ybWFsCn0KCmlmIFtbICIke0JBU0hfU09VUkNFWzBdfSIgPSAiJHswfSIgXV07IHRoZW4KICBtYWluICIke0B9IgogIGV4aXQgJD8KZmkK
mode: 493
path: /usr/local/bin/set-rcu-normal.sh
systemd:
units:
- contents: |
[Unit]
Description=Disable rcu_expedited after node has finished booting by setting rcu_normal to 1
[Service]
Type=simple
ExecStart=/usr/local/bin/set-rcu-normal.sh
# Maximum wait time is 600s = 10m:
Environment=MAXIMUM_WAIT_TIME=600
# Steady-state threshold = 2%
# Allowed values:
# 4 - absolute pod count (+/-)
# 4% - percent change (+/-)
# -1 - disable the steady-state check
# Note: '%' must be escaped as '%%' in systemd unit files
Environment=STEADY_STATE_THRESHOLD=2%%
# Steady-state window = 120s
# If the running pod count stays within the given threshold for this time
# period, return CPU utilization to normal before the maximum wait time has
# expires
Environment=STEADY_STATE_WINDOW=120
# Steady-state minimum = 40
# Increasing this will skip any steady-state checks until the count rises above
# this number to avoid false positives if there are some periods where the
# count doesn't increase but we know we can't be at steady-state yet.
Environment=STEADY_STATE_MINIMUM=40
[Install]
WantedBy=multi-user.target
enabled: true
name: set-rcu-normal.service
7.6.5. Automatic kernel crash dumps with kdump Copiar enlaceEnlace copiado en el portapapeles!
kdump is a Linux kernel feature that creates a kernel crash dump when the kernel crashes. kdump is enabled with the following MachineConfig CRs.
Recommended MachineConfig CR to remove ice driver from control plane kdump logs (05-kdump-config-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 05-kdump-config-master
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- enabled: true
name: kdump-remove-ice-module.service
contents: |
[Unit]
Description=Remove ice module when doing kdump
Before=kdump.service
[Service]
Type=oneshot
RemainAfterExit=true
ExecStart=/usr/local/bin/kdump-remove-ice-module.sh
[Install]
WantedBy=multi-user.target
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,IyEvdXNyL2Jpbi9lbnYgYmFzaAoKIyBUaGlzIHNjcmlwdCByZW1vdmVzIHRoZSBpY2UgbW9kdWxlIGZyb20ga2R1bXAgdG8gcHJldmVudCBrZHVtcCBmYWlsdXJlcyBvbiBjZXJ0YWluIHNlcnZlcnMuCiMgVGhpcyBpcyBhIHRlbXBvcmFyeSB3b3JrYXJvdW5kIGZvciBSSEVMUExBTi0xMzgyMzYgYW5kIGNhbiBiZSByZW1vdmVkIHdoZW4gdGhhdCBpc3N1ZSBpcwojIGZpeGVkLgoKc2V0IC14CgpTRUQ9Ii91c3IvYmluL3NlZCIKR1JFUD0iL3Vzci9iaW4vZ3JlcCIKCiMgb3ZlcnJpZGUgZm9yIHRlc3RpbmcgcHVycG9zZXMKS0RVTVBfQ09ORj0iJHsxOi0vZXRjL3N5c2NvbmZpZy9rZHVtcH0iClJFTU9WRV9JQ0VfU1RSPSJtb2R1bGVfYmxhY2tsaXN0PWljZSIKCiMgZXhpdCBpZiBmaWxlIGRvZXNuJ3QgZXhpc3QKWyAhIC1mICR7S0RVTVBfQ09ORn0gXSAmJiBleGl0IDAKCiMgZXhpdCBpZiBmaWxlIGFscmVhZHkgdXBkYXRlZAoke0dSRVB9IC1GcSAke1JFTU9WRV9JQ0VfU1RSfSAke0tEVU1QX0NPTkZ9ICYmIGV4aXQgMAoKIyBUYXJnZXQgbGluZSBsb29rcyBzb21ldGhpbmcgbGlrZSB0aGlzOgojIEtEVU1QX0NPTU1BTkRMSU5FX0FQUEVORD0iaXJxcG9sbCBucl9jcHVzPTEgLi4uIGhlc3RfZGlzYWJsZSIKIyBVc2Ugc2VkIHRvIG1hdGNoIGV2ZXJ5dGhpbmcgYmV0d2VlbiB0aGUgcXVvdGVzIGFuZCBhcHBlbmQgdGhlIFJFTU9WRV9JQ0VfU1RSIHRvIGl0CiR7U0VEfSAtaSAncy9eS0RVTVBfQ09NTUFORExJTkVfQVBQRU5EPSJbXiJdKi8mICcke1JFTU9WRV9JQ0VfU1RSfScvJyAke0tEVU1QX0NPTkZ9IHx8IGV4aXQgMAo=
mode: 448
path: /usr/local/bin/kdump-remove-ice-module.sh
Recommended control plane node kdump configuration (06-kdump-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 06-kdump-enable-master
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- enabled: true
name: kdump.service
kernelArguments:
- crashkernel=512M
Recommended MachineConfig CR to remove ice driver from worker node kdump logs (05-kdump-config-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: 05-kdump-config-worker
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- enabled: true
name: kdump-remove-ice-module.service
contents: |
[Unit]
Description=Remove ice module when doing kdump
Before=kdump.service
[Service]
Type=oneshot
RemainAfterExit=true
ExecStart=/usr/local/bin/kdump-remove-ice-module.sh
[Install]
WantedBy=multi-user.target
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,IyEvdXNyL2Jpbi9lbnYgYmFzaAoKIyBUaGlzIHNjcmlwdCByZW1vdmVzIHRoZSBpY2UgbW9kdWxlIGZyb20ga2R1bXAgdG8gcHJldmVudCBrZHVtcCBmYWlsdXJlcyBvbiBjZXJ0YWluIHNlcnZlcnMuCiMgVGhpcyBpcyBhIHRlbXBvcmFyeSB3b3JrYXJvdW5kIGZvciBSSEVMUExBTi0xMzgyMzYgYW5kIGNhbiBiZSByZW1vdmVkIHdoZW4gdGhhdCBpc3N1ZSBpcwojIGZpeGVkLgoKc2V0IC14CgpTRUQ9Ii91c3IvYmluL3NlZCIKR1JFUD0iL3Vzci9iaW4vZ3JlcCIKCiMgb3ZlcnJpZGUgZm9yIHRlc3RpbmcgcHVycG9zZXMKS0RVTVBfQ09ORj0iJHsxOi0vZXRjL3N5c2NvbmZpZy9rZHVtcH0iClJFTU9WRV9JQ0VfU1RSPSJtb2R1bGVfYmxhY2tsaXN0PWljZSIKCiMgZXhpdCBpZiBmaWxlIGRvZXNuJ3QgZXhpc3QKWyAhIC1mICR7S0RVTVBfQ09ORn0gXSAmJiBleGl0IDAKCiMgZXhpdCBpZiBmaWxlIGFscmVhZHkgdXBkYXRlZAoke0dSRVB9IC1GcSAke1JFTU9WRV9JQ0VfU1RSfSAke0tEVU1QX0NPTkZ9ICYmIGV4aXQgMAoKIyBUYXJnZXQgbGluZSBsb29rcyBzb21ldGhpbmcgbGlrZSB0aGlzOgojIEtEVU1QX0NPTU1BTkRMSU5FX0FQUEVORD0iaXJxcG9sbCBucl9jcHVzPTEgLi4uIGhlc3RfZGlzYWJsZSIKIyBVc2Ugc2VkIHRvIG1hdGNoIGV2ZXJ5dGhpbmcgYmV0d2VlbiB0aGUgcXVvdGVzIGFuZCBhcHBlbmQgdGhlIFJFTU9WRV9JQ0VfU1RSIHRvIGl0CiR7U0VEfSAtaSAncy9eS0RVTVBfQ09NTUFORExJTkVfQVBQRU5EPSJbXiJdKi8mICcke1JFTU9WRV9JQ0VfU1RSfScvJyAke0tEVU1QX0NPTkZ9IHx8IGV4aXQgMAo=
mode: 448
path: /usr/local/bin/kdump-remove-ice-module.sh
Recommended kdump worker node configuration (06-kdump-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: 06-kdump-enable-worker
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- enabled: true
name: kdump.service
kernelArguments:
- crashkernel=512M
7.6.6. Disable automatic CRI-O cache wipe Copiar enlaceEnlace copiado en el portapapeles!
After an uncontrolled host shutdown or cluster reboot, CRI-O automatically deletes the entire CRI-O cache, causing all images to be pulled from the registry when the node reboots. This can result in unacceptably slow recovery times or recovery failures. To prevent this from happening in single-node OpenShift clusters that you install with GitOps ZTP, disable the CRI-O delete cache feature during cluster installation.
Recommended MachineConfig CR to disable CRI-O cache wipe on control plane nodes (99-crio-disable-wipe-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 99-crio-disable-wipe-master
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,W2NyaW9dCmNsZWFuX3NodXRkb3duX2ZpbGUgPSAiIgo=
mode: 420
path: /etc/crio/crio.conf.d/99-crio-disable-wipe.toml
Recommended MachineConfig CR to disable CRI-O cache wipe on worker nodes (99-crio-disable-wipe-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: 99-crio-disable-wipe-worker
spec:
config:
ignition:
version: 3.2.0
storage:
files:
- contents:
source: data:text/plain;charset=utf-8;base64,W2NyaW9dCmNsZWFuX3NodXRkb3duX2ZpbGUgPSAiIgo=
mode: 420
path: /etc/crio/crio.conf.d/99-crio-disable-wipe.toml
7.6.7. Configuring crun as the default container runtime Copiar enlaceEnlace copiado en el portapapeles!
The following ContainerRuntimeConfig custom resources (CRs) configure crun as the default OCI container runtime for control plane and worker nodes. The crun container runtime is fast and lightweight and has a low memory footprint.
For optimal performance, enable crun for control plane and worker nodes in single-node OpenShift, three-node OpenShift, and standard clusters. To avoid the cluster rebooting when the CR is applied, apply the change as a GitOps ZTP additional Day 0 install-time manifest.
Recommended ContainerRuntimeConfig CR for control plane nodes (enable-crun-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: ContainerRuntimeConfig
metadata:
name: enable-crun-master
spec:
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/master: ""
containerRuntimeConfig:
defaultRuntime: crun
Recommended ContainerRuntimeConfig CR for worker nodes (enable-crun-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: ContainerRuntimeConfig
metadata:
name: enable-crun-worker
spec:
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/worker: ""
containerRuntimeConfig:
defaultRuntime: crun
7.7. Recommended postinstallation cluster configurations Copiar enlaceEnlace copiado en el portapapeles!
When the cluster installation is complete, the ZTP pipeline applies the following custom resources (CRs) that are required to run DU workloads.
In GitOps ZTP v4.10 and earlier, you configure UEFI secure boot with a MachineConfig CR. This is no longer required in GitOps ZTP v4.11 and later. In v4.11, you configure UEFI secure boot for single-node OpenShift clusters by updating the spec.clusters.nodes.bootMode field in the SiteConfig CR that you use to install the cluster. For more information, see Deploying a managed cluster with SiteConfig and GitOps ZTP.
7.7.1. Operators Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require the following Operators to be installed:
- Local Storage Operator
- Logging Operator
- PTP Operator
- SR-IOV Network Operator
You also need to configure a custom CatalogSource CR, disable the default OperatorHub configuration, and configure an ImageContentSourcePolicy mirror registry that is accessible from the clusters that you install.
Recommended Storage Operator namespace and Operator group configuration (StorageNS.yaml, StorageOperGroup.yaml)
---
apiVersion: v1
kind: Namespace
metadata:
name: openshift-local-storage
annotations:
workload.openshift.io/allowed: management
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: openshift-local-storage
namespace: openshift-local-storage
annotations: {}
spec:
targetNamespaces:
- openshift-local-storage
Recommended Cluster Logging Operator namespace and Operator group configuration (ClusterLogNS.yaml, ClusterLogOperGroup.yaml)
---
apiVersion: v1
kind: Namespace
metadata:
name: openshift-logging
annotations:
workload.openshift.io/allowed: management
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: cluster-logging
namespace: openshift-logging
annotations: {}
spec:
targetNamespaces:
- openshift-logging
Recommended PTP Operator namespace and Operator group configuration (PtpSubscriptionNS.yaml, PtpSubscriptionOperGroup.yaml)
---
apiVersion: v1
kind: Namespace
metadata:
name: openshift-ptp
annotations:
workload.openshift.io/allowed: management
labels:
openshift.io/cluster-monitoring: "true"
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: ptp-operators
namespace: openshift-ptp
annotations: {}
spec:
targetNamespaces:
- openshift-ptp
Recommended SR-IOV Operator namespace and Operator group configuration (SriovSubscriptionNS.yaml, SriovSubscriptionOperGroup.yaml)
---
apiVersion: v1
kind: Namespace
metadata:
name: openshift-sriov-network-operator
annotations:
workload.openshift.io/allowed: management
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
name: sriov-network-operators
namespace: openshift-sriov-network-operator
annotations: {}
spec:
targetNamespaces:
- openshift-sriov-network-operator
Recommended CatalogSource configuration (DefaultCatsrc.yaml)
apiVersion: operators.coreos.com/v1alpha1
kind: CatalogSource
metadata:
name: default-cat-source
namespace: openshift-marketplace
annotations:
target.workload.openshift.io/management: '{"effect": "PreferredDuringScheduling"}'
spec:
displayName: default-cat-source
image: $imageUrl
publisher: Red Hat
sourceType: grpc
updateStrategy:
registryPoll:
interval: 1h
status:
connectionState:
lastObservedState: READY
Recommended ImageContentSourcePolicy configuration (DisconnectedICSP.yaml)
apiVersion: operator.openshift.io/v1alpha1
kind: ImageContentSourcePolicy
metadata:
name: disconnected-internal-icsp
annotations: {}
spec:
repositoryDigestMirrors:
- $mirrors
Recommended OperatorHub configuration (OperatorHub.yaml)
apiVersion: config.openshift.io/v1
kind: OperatorHub
metadata:
name: cluster
annotations: {}
spec:
disableAllDefaultSources: true
7.7.2. Operator subscriptions Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require the following Subscription CRs. The subscription provides the location to download the following Operators:
- Local Storage Operator
- Logging Operator
- PTP Operator
- SR-IOV Network Operator
- SRIOV-FEC Operator
For each Operator subscription, specify the channel to get the Operator from. The recommended channel is stable.
You can specify Manual or Automatic updates. In Automatic mode, the Operator automatically updates to the latest versions in the channel as they become available in the registry. In Manual mode, new Operator versions are installed only when they are explicitly approved.
Use Manual mode for subscriptions. This allows you to control the timing of Operator updates to fit within scheduled maintenance windows.
Recommended Local Storage Operator subscription (StorageSubscription.yaml)
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: local-storage-operator
namespace: openshift-local-storage
annotations: {}
spec:
channel: "stable"
name: local-storage-operator
source: redhat-operators-disconnected
sourceNamespace: openshift-marketplace
installPlanApproval: Manual
status:
state: AtLatestKnown
Recommended SR-IOV Operator subscription (SriovSubscription.yaml)
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: sriov-network-operator-subscription
namespace: openshift-sriov-network-operator
annotations: {}
spec:
channel: "stable"
name: sriov-network-operator
source: redhat-operators-disconnected
sourceNamespace: openshift-marketplace
installPlanApproval: Manual
status:
state: AtLatestKnown
Recommended PTP Operator subscription (PtpSubscription.yaml)
---
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: ptp-operator-subscription
namespace: openshift-ptp
annotations: {}
spec:
channel: "stable"
name: ptp-operator
source: redhat-operators-disconnected
sourceNamespace: openshift-marketplace
installPlanApproval: Manual
status:
state: AtLatestKnown
Recommended Cluster Logging Operator subscription (ClusterLogSubscription.yaml)
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: cluster-logging
namespace: openshift-logging
annotations: {}
spec:
channel: "stable"
name: cluster-logging
source: redhat-operators-disconnected
sourceNamespace: openshift-marketplace
installPlanApproval: Manual
status:
state: AtLatestKnown
7.7.3. Cluster logging and log forwarding Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require logging and log forwarding for debugging. The following ClusterLogging and ClusterLogForwarder custom resources (CRs) are required.
Recommended cluster logging configuration (ClusterLogging.yaml)
apiVersion: logging.openshift.io/v1
kind: ClusterLogging
metadata:
name: instance
namespace: openshift-logging
annotations: {}
spec:
managementState: "Managed"
collection:
logs:
type: "vector"
Recommended log forwarding configuration (ClusterLogForwarder.yaml)
apiVersion: "logging.openshift.io/v1"
kind: ClusterLogForwarder
metadata:
name: instance
namespace: openshift-logging
annotations: {}
spec:
outputs: $outputs
pipelines: $pipelines
Set the spec.outputs.url field to the URL of the Kafka server where the logs are forwarded to.
7.7.4. Performance profile Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require a Node Tuning Operator performance profile to use real-time host capabilities and services.
In earlier versions of OpenShift Container Platform, the Performance Addon Operator was used to implement automatic tuning to achieve low latency performance for OpenShift applications. In OpenShift Container Platform 4.11 and later, this functionality is part of the Node Tuning Operator.
The following example PerformanceProfile CR illustrates the required single-node OpenShift cluster configuration.
Recommended performance profile configuration (PerformanceProfile.yaml)
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
# if you change this name make sure the 'include' line in TunedPerformancePatch.yaml
# matches this name: include=openshift-node-performance-${PerformanceProfile.metadata.name}
# Also in file 'validatorCRs/informDuValidator.yaml':
# name: 50-performance-${PerformanceProfile.metadata.name}
name: openshift-node-performance-profile
annotations:
ran.openshift.io/reference-configuration: "ran-du.redhat.com"
spec:
additionalKernelArgs:
- "rcupdate.rcu_normal_after_boot=0"
- "efi=runtime"
- "vfio_pci.enable_sriov=1"
- "vfio_pci.disable_idle_d3=1"
- "module_blacklist=irdma"
cpu:
isolated: $isolated
reserved: $reserved
hugepages:
defaultHugepagesSize: $defaultHugepagesSize
pages:
- size: $size
count: $count
node: $node
machineConfigPoolSelector:
pools.operator.machineconfiguration.openshift.io/$mcp: ""
nodeSelector:
node-role.kubernetes.io/$mcp: ''
numa:
topologyPolicy: "restricted"
# To use the standard (non-realtime) kernel, set enabled to false
realTimeKernel:
enabled: true
workloadHints:
# WorkloadHints defines the set of upper level flags for different type of workloads.
# See https://github.com/openshift/cluster-node-tuning-operator/blob/master/docs/performanceprofile/performance_profile.md#workloadhints
# for detailed descriptions of each item.
# The configuration below is set for a low latency, performance mode.
realTime: true
highPowerConsumption: false
perPodPowerManagement: false
| PerformanceProfile CR field | Description |
|---|---|
|
|
Ensure that
|
|
|
|
|
| Set the isolated CPUs. Ensure all of the Hyper-Threading pairs match. Important The reserved and isolated CPU pools must not overlap and together must span all available cores. CPU cores that are not accounted for cause an undefined behaviour in the system. |
|
| Set the reserved CPUs. When workload partitioning is enabled, system processes, kernel threads, and system container threads are restricted to these CPUs. All CPUs that are not isolated should be reserved. |
|
|
|
|
|
Set |
|
|
Use |
7.7.5. Configuring cluster time synchronization Copiar enlaceEnlace copiado en el portapapeles!
Run a one-time system time synchronization job for control plane or worker nodes.
Recommended one time time-sync for control plane nodes (99-sync-time-once-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 99-sync-time-once-master
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- contents: |
[Unit]
Description=Sync time once
After=network.service
[Service]
Type=oneshot
TimeoutStartSec=300
ExecCondition=/bin/bash -c 'systemctl is-enabled chronyd.service --quiet && exit 1 || exit 0'
ExecStart=/usr/sbin/chronyd -n -f /etc/chrony.conf -q
RemainAfterExit=yes
[Install]
WantedBy=multi-user.target
enabled: true
name: sync-time-once.service
Recommended one time time-sync for worker nodes (99-sync-time-once-worker.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: 99-sync-time-once-worker
spec:
config:
ignition:
version: 3.2.0
systemd:
units:
- contents: |
[Unit]
Description=Sync time once
After=network.service
[Service]
Type=oneshot
TimeoutStartSec=300
ExecCondition=/bin/bash -c 'systemctl is-enabled chronyd.service --quiet && exit 1 || exit 0'
ExecStart=/usr/sbin/chronyd -n -f /etc/chrony.conf -q
RemainAfterExit=yes
[Install]
WantedBy=multi-user.target
enabled: true
name: sync-time-once.service
7.7.6. PTP Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters use Precision Time Protocol (PTP) for network time synchronization. The following example PtpConfig CRs illustrate the required PTP configurations for ordinary clocks, boundary clocks, and grandmaster clocks. The exact configuration you apply will depend on the node hardware and specific use case.
Recommended PTP ordinary clock configuration (PtpConfigSlave.yaml)
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: ordinary
namespace: openshift-ptp
annotations: {}
spec:
profile:
- name: "ordinary"
# The interface name is hardware-specific
interface: $interface
ptp4lOpts: "-2 -s"
phc2sysOpts: "-a -r -n 24"
ptpSchedulingPolicy: SCHED_FIFO
ptpSchedulingPriority: 10
ptpSettings:
logReduce: "true"
ptp4lConf: |
[global]
#
# Default Data Set
#
twoStepFlag 1
slaveOnly 1
priority1 128
priority2 128
domainNumber 24
#utc_offset 37
clockClass 255
clockAccuracy 0xFE
offsetScaledLogVariance 0xFFFF
free_running 0
freq_est_interval 1
dscp_event 0
dscp_general 0
dataset_comparison G.8275.x
G.8275.defaultDS.localPriority 128
#
# Port Data Set
#
logAnnounceInterval -3
logSyncInterval -4
logMinDelayReqInterval -4
logMinPdelayReqInterval -4
announceReceiptTimeout 3
syncReceiptTimeout 0
delayAsymmetry 0
fault_reset_interval -4
neighborPropDelayThresh 20000000
masterOnly 0
G.8275.portDS.localPriority 128
#
# Run time options
#
assume_two_step 0
logging_level 6
path_trace_enabled 0
follow_up_info 0
hybrid_e2e 0
inhibit_multicast_service 0
net_sync_monitor 0
tc_spanning_tree 0
tx_timestamp_timeout 50
unicast_listen 0
unicast_master_table 0
unicast_req_duration 3600
use_syslog 1
verbose 0
summary_interval 0
kernel_leap 1
check_fup_sync 0
clock_class_threshold 7
#
# Servo Options
#
pi_proportional_const 0.0
pi_integral_const 0.0
pi_proportional_scale 0.0
pi_proportional_exponent -0.3
pi_proportional_norm_max 0.7
pi_integral_scale 0.0
pi_integral_exponent 0.4
pi_integral_norm_max 0.3
step_threshold 2.0
first_step_threshold 0.00002
max_frequency 900000000
clock_servo pi
sanity_freq_limit 200000000
ntpshm_segment 0
#
# Transport options
#
transportSpecific 0x0
ptp_dst_mac 01:1B:19:00:00:00
p2p_dst_mac 01:80:C2:00:00:0E
udp_ttl 1
udp6_scope 0x0E
uds_address /var/run/ptp4l
#
# Default interface options
#
clock_type OC
network_transport L2
delay_mechanism E2E
time_stamping hardware
tsproc_mode filter
delay_filter moving_median
delay_filter_length 10
egressLatency 0
ingressLatency 0
boundary_clock_jbod 0
#
# Clock description
#
productDescription ;;
revisionData ;;
manufacturerIdentity 00:00:00
userDescription ;
timeSource 0xA0
recommend:
- profile: "ordinary"
priority: 4
match:
- nodeLabel: "node-role.kubernetes.io/$mcp"
Recommended boundary clock configuration (PtpConfigBoundary.yaml)
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: boundary
namespace: openshift-ptp
annotations: {}
spec:
profile:
- name: "boundary"
ptp4lOpts: "-2"
phc2sysOpts: "-a -r -n 24"
ptpSchedulingPolicy: SCHED_FIFO
ptpSchedulingPriority: 10
ptpSettings:
logReduce: "true"
ptp4lConf: |
# The interface name is hardware-specific
[$iface_slave]
masterOnly 0
[$iface_master_1]
masterOnly 1
[$iface_master_2]
masterOnly 1
[$iface_master_3]
masterOnly 1
[global]
#
# Default Data Set
#
twoStepFlag 1
slaveOnly 0
priority1 128
priority2 128
domainNumber 24
#utc_offset 37
clockClass 248
clockAccuracy 0xFE
offsetScaledLogVariance 0xFFFF
free_running 0
freq_est_interval 1
dscp_event 0
dscp_general 0
dataset_comparison G.8275.x
G.8275.defaultDS.localPriority 128
#
# Port Data Set
#
logAnnounceInterval -3
logSyncInterval -4
logMinDelayReqInterval -4
logMinPdelayReqInterval -4
announceReceiptTimeout 3
syncReceiptTimeout 0
delayAsymmetry 0
fault_reset_interval -4
neighborPropDelayThresh 20000000
masterOnly 0
G.8275.portDS.localPriority 128
#
# Run time options
#
assume_two_step 0
logging_level 6
path_trace_enabled 0
follow_up_info 0
hybrid_e2e 0
inhibit_multicast_service 0
net_sync_monitor 0
tc_spanning_tree 0
tx_timestamp_timeout 50
unicast_listen 0
unicast_master_table 0
unicast_req_duration 3600
use_syslog 1
verbose 0
summary_interval 0
kernel_leap 1
check_fup_sync 0
clock_class_threshold 135
#
# Servo Options
#
pi_proportional_const 0.0
pi_integral_const 0.0
pi_proportional_scale 0.0
pi_proportional_exponent -0.3
pi_proportional_norm_max 0.7
pi_integral_scale 0.0
pi_integral_exponent 0.4
pi_integral_norm_max 0.3
step_threshold 2.0
first_step_threshold 0.00002
max_frequency 900000000
clock_servo pi
sanity_freq_limit 200000000
ntpshm_segment 0
#
# Transport options
#
transportSpecific 0x0
ptp_dst_mac 01:1B:19:00:00:00
p2p_dst_mac 01:80:C2:00:00:0E
udp_ttl 1
udp6_scope 0x0E
uds_address /var/run/ptp4l
#
# Default interface options
#
clock_type BC
network_transport L2
delay_mechanism E2E
time_stamping hardware
tsproc_mode filter
delay_filter moving_median
delay_filter_length 10
egressLatency 0
ingressLatency 0
boundary_clock_jbod 0
#
# Clock description
#
productDescription ;;
revisionData ;;
manufacturerIdentity 00:00:00
userDescription ;
timeSource 0xA0
recommend:
- profile: "boundary"
priority: 4
match:
- nodeLabel: "node-role.kubernetes.io/$mcp"
Recommended PTP Westport Channel e810 grandmaster clock configuration (PtpConfigGmWpc.yaml)
# The grandmaster profile is provided for testing only
# It is not installed on production clusters
apiVersion: ptp.openshift.io/v1
kind: PtpConfig
metadata:
name: grandmaster
namespace: openshift-ptp
annotations: {}
spec:
profile:
- name: "grandmaster"
ptp4lOpts: "-2 --summary_interval -4"
phc2sysOpts: -r -u 0 -m -O -37 -N 8 -R 16 -s $iface_master -n 24
ptpSchedulingPolicy: SCHED_FIFO
ptpSchedulingPriority: 10
ptpSettings:
logReduce: "true"
plugins:
e810:
enableDefaultConfig: false
settings:
LocalMaxHoldoverOffSet: 1500
LocalHoldoverTimeout: 14400
MaxInSpecOffset: 1500
pins: $e810_pins
# "$iface_master":
# "U.FL2": "0 2"
# "U.FL1": "0 1"
# "SMA2": "0 2"
# "SMA1": "0 1"
ublxCmds:
- args: #ubxtool -P 29.20 -z CFG-HW-ANT_CFG_VOLTCTRL,1
- "-P"
- "29.20"
- "-z"
- "CFG-HW-ANT_CFG_VOLTCTRL,1"
reportOutput: false
- args: #ubxtool -P 29.20 -e GPS
- "-P"
- "29.20"
- "-e"
- "GPS"
reportOutput: false
- args: #ubxtool -P 29.20 -d Galileo
- "-P"
- "29.20"
- "-d"
- "Galileo"
reportOutput: false
- args: #ubxtool -P 29.20 -d GLONASS
- "-P"
- "29.20"
- "-d"
- "GLONASS"
reportOutput: false
- args: #ubxtool -P 29.20 -d BeiDou
- "-P"
- "29.20"
- "-d"
- "BeiDou"
reportOutput: false
- args: #ubxtool -P 29.20 -d SBAS
- "-P"
- "29.20"
- "-d"
- "SBAS"
reportOutput: false
- args: #ubxtool -P 29.20 -t -w 5 -v 1 -e SURVEYIN,600,50000
- "-P"
- "29.20"
- "-t"
- "-w"
- "5"
- "-v"
- "1"
- "-e"
- "SURVEYIN,600,50000"
reportOutput: true
- args: #ubxtool -P 29.20 -p MON-HW
- "-P"
- "29.20"
- "-p"
- "MON-HW"
reportOutput: true
- args: #ubxtool -P 29.20 -p CFG-MSG,1,38,300
- "-P"
- "29.20"
- "-p"
- "CFG-MSG,1,38,300"
reportOutput: true
ts2phcOpts: " "
ts2phcConf: |
[nmea]
ts2phc.master 1
[global]
use_syslog 0
verbose 1
logging_level 7
ts2phc.pulsewidth 100000000
#cat /dev/GNSS to find available serial port
#example value of gnss_serialport is /dev/ttyGNSS_1700_0
ts2phc.nmea_serialport $gnss_serialport
leapfile /usr/share/zoneinfo/leap-seconds.list
[$iface_master]
ts2phc.extts_polarity rising
ts2phc.extts_correction 0
ptp4lConf: |
[$iface_master]
masterOnly 1
[$iface_master_1]
masterOnly 1
[$iface_master_2]
masterOnly 1
[$iface_master_3]
masterOnly 1
[global]
#
# Default Data Set
#
twoStepFlag 1
priority1 128
priority2 128
domainNumber 24
#utc_offset 37
clockClass 6
clockAccuracy 0x27
offsetScaledLogVariance 0xFFFF
free_running 0
freq_est_interval 1
dscp_event 0
dscp_general 0
dataset_comparison G.8275.x
G.8275.defaultDS.localPriority 128
#
# Port Data Set
#
logAnnounceInterval -3
logSyncInterval -4
logMinDelayReqInterval -4
logMinPdelayReqInterval 0
announceReceiptTimeout 3
syncReceiptTimeout 0
delayAsymmetry 0
fault_reset_interval -4
neighborPropDelayThresh 20000000
masterOnly 0
G.8275.portDS.localPriority 128
#
# Run time options
#
assume_two_step 0
logging_level 6
path_trace_enabled 0
follow_up_info 0
hybrid_e2e 0
inhibit_multicast_service 0
net_sync_monitor 0
tc_spanning_tree 0
tx_timestamp_timeout 50
unicast_listen 0
unicast_master_table 0
unicast_req_duration 3600
use_syslog 1
verbose 0
summary_interval -4
kernel_leap 1
check_fup_sync 0
clock_class_threshold 7
#
# Servo Options
#
pi_proportional_const 0.0
pi_integral_const 0.0
pi_proportional_scale 0.0
pi_proportional_exponent -0.3
pi_proportional_norm_max 0.7
pi_integral_scale 0.0
pi_integral_exponent 0.4
pi_integral_norm_max 0.3
step_threshold 2.0
first_step_threshold 0.00002
clock_servo pi
sanity_freq_limit 200000000
ntpshm_segment 0
#
# Transport options
#
transportSpecific 0x0
ptp_dst_mac 01:1B:19:00:00:00
p2p_dst_mac 01:80:C2:00:00:0E
udp_ttl 1
udp6_scope 0x0E
uds_address /var/run/ptp4l
#
# Default interface options
#
clock_type BC
network_transport L2
delay_mechanism E2E
time_stamping hardware
tsproc_mode filter
delay_filter moving_median
delay_filter_length 10
egressLatency 0
ingressLatency 0
boundary_clock_jbod 0
#
# Clock description
#
productDescription ;;
revisionData ;;
manufacturerIdentity 00:00:00
userDescription ;
timeSource 0x20
recommend:
- profile: "grandmaster"
priority: 4
match:
- nodeLabel: "node-role.kubernetes.io/$mcp"
The following optional PtpOperatorConfig CR configures PTP events reporting for the node.
Recommended PTP events configuration (PtpOperatorConfigForEvent.yaml)
apiVersion: ptp.openshift.io/v1
kind: PtpOperatorConfig
metadata:
name: default
namespace: openshift-ptp
annotations: {}
spec:
daemonNodeSelector:
node-role.kubernetes.io/$mcp: ""
ptpEventConfig:
enableEventPublisher: true
transportHost: "http://ptp-event-publisher-service-NODE_NAME.openshift-ptp.svc.cluster.local:9043"
7.7.7. Extended Tuned profile Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require additional performance tuning configurations necessary for high-performance workloads. The following example Tuned CR extends the Tuned profile:
Recommended extended Tuned profile configuration (TunedPerformancePatch.yaml)
apiVersion: tuned.openshift.io/v1
kind: Tuned
metadata:
name: performance-patch
namespace: openshift-cluster-node-tuning-operator
annotations: {}
spec:
profile:
- name: performance-patch
# Please note:
# - The 'include' line must match the associated PerformanceProfile name, following below pattern
# include=openshift-node-performance-${PerformanceProfile.metadata.name}
# - When using the standard (non-realtime) kernel, remove the kernel.timer_migration override from
# the [sysctl] section and remove the entire section if it is empty.
data: |
[main]
summary=Configuration changes profile inherited from performance created tuned
include=openshift-node-performance-openshift-node-performance-profile
[sysctl]
kernel.timer_migration=1
[scheduler]
group.ice-ptp=0:f:10:*:ice-ptp.*
group.ice-gnss=0:f:10:*:ice-gnss.*
[service]
service.stalld=start,enable
service.chronyd=stop,disable
recommend:
- machineConfigLabels:
machineconfiguration.openshift.io/role: "$mcp"
priority: 19
profile: performance-patch
| Tuned CR field | Description |
|---|---|
|
|
|
7.7.8. SR-IOV Copiar enlaceEnlace copiado en el portapapeles!
Single root I/O virtualization (SR-IOV) is commonly used to enable fronthaul and midhaul networks. The following YAML example configures SR-IOV for a single-node OpenShift cluster.
The configuration of the SriovNetwork CR will vary depending on your specific network and infrastructure requirements.
Recommended SriovOperatorConfig CR configuration (SriovOperatorConfig.yaml)
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovOperatorConfig
metadata:
name: default
namespace: openshift-sriov-network-operator
annotations: {}
spec:
configDaemonNodeSelector:
"node-role.kubernetes.io/$mcp": ""
# Injector and OperatorWebhook pods can be disabled (set to "false") below
# to reduce the number of management pods. It is recommended to start with the
# webhook and injector pods enabled, and only disable them after verifying the
# correctness of user manifests.
# If the injector is disabled, containers using sr-iov resources must explicitly assign
# them in the "requests"/"limits" section of the container spec, for example:
# containers:
# - name: my-sriov-workload-container
# resources:
# limits:
# openshift.io/<resource_name>: "1"
# requests:
# openshift.io/<resource_name>: "1"
enableInjector: true
enableOperatorWebhook: true
logLevel: 0
| SriovOperatorConfig CR field | Description |
|---|---|
|
|
Disable For example:
|
|
|
Disable |
Recommended SriovNetwork configuration (SriovNetwork.yaml)
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetwork
metadata:
name: ""
namespace: openshift-sriov-network-operator
annotations: {}
spec:
# resourceName: ""
networkNamespace: openshift-sriov-network-operator
# vlan: ""
# spoofChk: ""
# ipam: ""
# linkState: ""
# maxTxRate: ""
# minTxRate: ""
# vlanQoS: ""
# trust: ""
# capabilities: ""
| SriovNetwork CR field | Description |
|---|---|
|
|
Configure |
Recommended SriovNetworkNodePolicy CR configuration (SriovNetworkNodePolicy.yaml)
apiVersion: sriovnetwork.openshift.io/v1
kind: SriovNetworkNodePolicy
metadata:
name: $name
namespace: openshift-sriov-network-operator
annotations: {}
spec:
# The attributes for Mellanox/Intel based NICs as below.
# deviceType: netdevice/vfio-pci
# isRdma: true/false
deviceType: $deviceType
isRdma: $isRdma
nicSelector:
# The exact physical function name must match the hardware used
pfNames: [$pfNames]
nodeSelector:
node-role.kubernetes.io/$mcp: ""
numVfs: $numVfs
priority: $priority
resourceName: $resourceName
| SriovNetworkNodePolicy CR field | Description |
|---|---|
|
|
Configure |
|
| Specifies the interface connected to the fronthaul network. |
|
| Specifies the number of VFs for the fronthaul network. |
|
| The exact name of physical function must match the hardware. |
Recommended SR-IOV kernel configurations (07-sriov-related-kernel-args-master.yaml)
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfig
metadata:
labels:
machineconfiguration.openshift.io/role: master
name: 07-sriov-related-kernel-args-master
spec:
config:
ignition:
version: 3.2.0
kernelArguments:
- intel_iommu=on
- iommu=pt
7.7.9. Console Operator Copiar enlaceEnlace copiado en el portapapeles!
Use the cluster capabilities feature to prevent the Console Operator from being installed. When the node is centrally managed it is not needed. Removing the Operator provides additional space and capacity for application workloads.
To disable the Console Operator during the installation of the managed cluster, set the following in the spec.clusters.0.installConfigOverrides field of the SiteConfig custom resource (CR):
installConfigOverrides: "{\"capabilities\":{\"baselineCapabilitySet\": \"None\" }}"
7.7.10. Alertmanager Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require reduced CPU resources consumed by the OpenShift Container Platform monitoring components. The following ConfigMap custom resource (CR) disables Alertmanager.
Recommended cluster monitoring configuration (ReduceMonitoringFootprint.yaml)
apiVersion: v1
kind: ConfigMap
metadata:
name: cluster-monitoring-config
namespace: openshift-monitoring
annotations: {}
data:
config.yaml: |
alertmanagerMain:
enabled: false
telemeterClient:
enabled: false
prometheusK8s:
retention: 24h
7.7.11. Operator Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run distributed unit workloads require consistent access to CPU resources. Operator Lifecycle Manager (OLM) collects performance data from Operators at regular intervals, resulting in an increase in CPU utilisation. The following ConfigMap custom resource (CR) disables the collection of Operator performance data by OLM.
Recommended cluster OLM configuration (ReduceOLMFootprint.yaml)
apiVersion: v1
kind: ConfigMap
metadata:
name: collect-profiles-config
namespace: openshift-operator-lifecycle-manager
data:
pprof-config.yaml: |
disabled: True
7.7.12. LVM Storage Copiar enlaceEnlace copiado en el portapapeles!
You can dynamically provision local storage on single-node OpenShift clusters with Logical Volume Manager (LVM) Storage.
The recommended storage solution for single-node OpenShift is the Local Storage Operator. Alternatively, you can use LVM Storage but it requires additional CPU resources to be allocated.
The following YAML example configures the storage of the node to be available to OpenShift Container Platform applications.
Recommended LVMCluster configuration (StorageLVMCluster.yaml)
apiVersion: lvm.topolvm.io/v1alpha1
kind: LVMCluster
metadata:
name: odf-lvmcluster
namespace: openshift-storage
spec:
storage:
deviceClasses:
- name: vg1
deviceSelector:
paths:
- /usr/disk/by-path/pci-0000:11:00.0-nvme-1
thinPoolConfig:
name: thin-pool-1
overprovisionRatio: 10
sizePercent: 90
| LVMCluster CR field | Description |
|---|---|
|
| Configure the disks used for LVM storage. If no disks are specified, the LVM Storage uses all the unused disks in the specified thin pool. |
7.7.13. Network diagnostics Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters that run DU workloads require less inter-pod network connectivity checks to reduce the additional load created by these pods. The following custom resource (CR) disables these checks.
Recommended network diagnostics configuration (DisableSnoNetworkDiag.yaml)
apiVersion: operator.openshift.io/v1
kind: Network
metadata:
name: cluster
annotations: {}
spec:
disableNetworkDiagnostics: true
Chapter 8. Validating single-node OpenShift cluster tuning for vDU application workloads Copiar enlaceEnlace copiado en el portapapeles!
Before you can deploy virtual distributed unit (vDU) applications, you need to tune and configure the cluster host firmware and various other cluster configuration settings. Use the following information to validate the cluster configuration to support vDU workloads.
8.1. Recommended firmware configuration for vDU cluster hosts Copiar enlaceEnlace copiado en el portapapeles!
Use the following table as the basis to configure the cluster host firmware for vDU applications running on OpenShift Container Platform 4.15.
The following table is a general recommendation for vDU cluster host firmware configuration. Exact firmware settings will depend on your requirements and specific hardware platform. Automatic setting of firmware is not handled by the zero touch provisioning pipeline.
| Firmware setting | Configuration | Description |
|---|---|---|
| HyperTransport (HT) | Enabled | HyperTransport (HT) bus is a bus technology developed by AMD. HT provides a high-speed link between the components in the host memory and other system peripherals. |
| UEFI | Enabled | Enable booting from UEFI for the vDU host. |
| CPU Power and Performance Policy | Performance | Set CPU Power and Performance Policy to optimize the system for performance over energy efficiency. |
| Uncore Frequency Scaling | Disabled | Disable Uncore Frequency Scaling to prevent the voltage and frequency of non-core parts of the CPU from being set independently. |
| Uncore Frequency | Maximum | Sets the non-core parts of the CPU such as cache and memory controller to their maximum possible frequency of operation. |
| Performance P-limit | Disabled | Disable Performance P-limit to prevent the Uncore frequency coordination of processors. |
| Enhanced Intel® SpeedStep Tech | Enabled | Enable Enhanced Intel SpeedStep to allow the system to dynamically adjust processor voltage and core frequency that decreases power consumption and heat production in the host. |
| Intel® Turbo Boost Technology | Enabled | Enable Turbo Boost Technology for Intel-based CPUs to automatically allow processor cores to run faster than the rated operating frequency if they are operating below power, current, and temperature specification limits. |
| Intel Configurable TDP | Enabled | Enables Thermal Design Power (TDP) for the CPU. |
| Configurable TDP Level | Level 2 | TDP level sets the CPU power consumption required for a particular performance rating. TDP level 2 sets the CPU to the most stable performance level at the cost of power consumption. |
| Energy Efficient Turbo | Disabled | Disable Energy Efficient Turbo to prevent the processor from using an energy-efficiency based policy. |
| Hardware P-States | Enabled or Disabled |
Enable OS-controlled P-States to allow power saving configurations. Disable |
| Package C-State | C0/C1 state | Use C0 or C1 states to set the processor to a fully active state (C0) or to stop CPU internal clocks running in software (C1). |
| C1E | Disabled | CPU Enhanced Halt (C1E) is a power saving feature in Intel chips. Disabling C1E prevents the operating system from sending a halt command to the CPU when inactive. |
| Processor C6 | Disabled | C6 power-saving is a CPU feature that automatically disables idle CPU cores and cache. Disabling C6 improves system performance. |
| Sub-NUMA Clustering | Disabled | Sub-NUMA clustering divides the processor cores, cache, and memory into multiple NUMA domains. Disabling this option can increase performance for latency-sensitive workloads. |
Enable global SR-IOV and VT-d settings in the firmware for the host. These settings are relevant to bare-metal environments.
Enable both C-states and OS-controlled P-States to allow per pod power management.
8.2. Recommended cluster configurations to run vDU applications Copiar enlaceEnlace copiado en el portapapeles!
Clusters running virtualized distributed unit (vDU) applications require a highly tuned and optimized configuration. The following information describes the various elements that you require to support vDU workloads in OpenShift Container Platform 4.15 clusters.
8.2.1. Recommended cluster MachineConfig CRs for single-node OpenShift clusters Copiar enlaceEnlace copiado en el portapapeles!
Check that the MachineConfig custom resources (CRs) that you extract from the ztp-site-generate container are applied in the cluster. The CRs can be found in the extracted out/source-crs/extra-manifest/ folder.
The following MachineConfig CRs from the ztp-site-generate container configure the cluster host:
| MachineConfig CR | Description |
|---|---|
|
| Configures the container mount namespace and kubelet configuration. |
|
|
Loads the SCTP kernel module. These |
|
| Configures kdump crash reporting for the cluster. |
|
| Configures SR-IOV kernel arguments in the cluster. |
|
|
Disables |
|
| Disables the automatic CRI-O cache wipe following cluster reboot. |
|
| Configures the one-time check and adjustment of the system clock by the Chrony service. |
|
|
Enables the |
|
| Enables cgroups v1 during cluster installation and when generating RHACM cluster policies. |
In OpenShift Container Platform 4.14 and later, you configure workload partitioning with the cpuPartitioningMode field in the SiteConfig CR.
8.2.2. Recommended cluster Operators Copiar enlaceEnlace copiado en el portapapeles!
The following Operators are required for clusters running virtualized distributed unit (vDU) applications and are a part of the baseline reference configuration:
- Node Tuning Operator (NTO). NTO packages functionality that was previously delivered with the Performance Addon Operator, which is now a part of NTO.
- PTP Operator
- SR-IOV Network Operator
- Red Hat OpenShift Logging Operator
- Local Storage Operator
8.2.3. Recommended cluster kernel configuration Copiar enlaceEnlace copiado en el portapapeles!
Always use the latest supported real-time kernel version in your cluster. Ensure that you apply the following configurations in the cluster:
Ensure that the following
additionalKernelArgsare set in the cluster performance profile:spec: additionalKernelArgs: - "rcupdate.rcu_normal_after_boot=0" - "efi=runtime" - "module_blacklist=irdma"Ensure that the
performance-patchprofile in theTunedCR configures the correct CPU isolation set that matches theisolatedCPU set in the relatedPerformanceProfileCR, for example:spec: profile: - name: performance-patch # The 'include' line must match the associated PerformanceProfile name, for example: # include=openshift-node-performance-${PerformanceProfile.metadata.name} # When using the standard (non-realtime) kernel, remove the kernel.timer_migration override from the [sysctl] section data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-node-performance-profile [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* group.ice-gnss=0:f:10:*:ice-gnss.* [service] service.stalld=start,enable service.chronyd=stop,disable
8.2.4. Checking the realtime kernel version Copiar enlaceEnlace copiado en el portapapeles!
Always use the latest version of the realtime kernel in your OpenShift Container Platform clusters. If you are unsure about the kernel version that is in use in the cluster, you can compare the current realtime kernel version to the release version with the following procedure.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You are logged in as a user with
cluster-adminprivileges. -
You have installed
podman.
Procedure
Run the following command to get the cluster version:
$ OCP_VERSION=$(oc get clusterversion version -o jsonpath='{.status.desired.version}{"\n"}')Get the release image SHA number:
$ DTK_IMAGE=$(oc adm release info --image-for=driver-toolkit quay.io/openshift-release-dev/ocp-release:$OCP_VERSION-x86_64)Run the release image container and extract the kernel version that is packaged with cluster’s current release:
$ podman run --rm $DTK_IMAGE rpm -qa | grep 'kernel-rt-core-' | sed 's#kernel-rt-core-##'Example output
4.18.0-305.49.1.rt7.121.el8_4.x86_64This is the default realtime kernel version that ships with the release.
NoteThe realtime kernel is denoted by the string
.rtin the kernel version.
Verification
Check that the kernel version listed for the cluster’s current release matches actual realtime kernel that is running in the cluster. Run the following commands to check the running realtime kernel version:
Open a remote shell connection to the cluster node:
$ oc debug node/<node_name>Check the realtime kernel version:
sh-4.4# uname -rExample output
4.18.0-305.49.1.rt7.121.el8_4.x86_64
8.3. Checking that the recommended cluster configurations are applied Copiar enlaceEnlace copiado en el portapapeles!
You can check that clusters are running the correct configuration. The following procedure describes how to check the various configurations that you require to deploy a DU application in OpenShift Container Platform 4.15 clusters.
Prerequisites
- You have deployed a cluster and tuned it for vDU workloads.
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges.
Procedure
Check that the default OperatorHub sources are disabled. Run the following command:
$ oc get operatorhub cluster -o yamlExample output
spec: disableAllDefaultSources: trueCheck that all required
CatalogSourceresources are annotated for workload partitioning (PreferredDuringScheduling) by running the following command:$ oc get catalogsource -A -o jsonpath='{range .items[*]}{.metadata.name}{" -- "}{.metadata.annotations.target\.workload\.openshift\.io/management}{"\n"}{end}'Example output
certified-operators -- {"effect": "PreferredDuringScheduling"} community-operators -- {"effect": "PreferredDuringScheduling"} ran-operators1 redhat-marketplace -- {"effect": "PreferredDuringScheduling"} redhat-operators -- {"effect": "PreferredDuringScheduling"}- 1
CatalogSourceresources that are not annotated are also returned. In this example, theran-operatorsCatalogSourceresource is not annotated and does not have thePreferredDuringSchedulingannotation.
NoteIn a properly configured vDU cluster, only a single annotated catalog source is listed.
Check that all applicable OpenShift Container Platform Operator namespaces are annotated for workload partitioning. This includes all Operators installed with core OpenShift Container Platform and the set of additional Operators included in the reference DU tuning configuration. Run the following command:
$ oc get namespaces -A -o jsonpath='{range .items[*]}{.metadata.name}{" -- "}{.metadata.annotations.workload\.openshift\.io/allowed}{"\n"}{end}'Example output
default -- openshift-apiserver -- management openshift-apiserver-operator -- management openshift-authentication -- management openshift-authentication-operator -- managementImportantAdditional Operators must not be annotated for workload partitioning. In the output from the previous command, additional Operators should be listed without any value on the right side of the
--separator.Check that the
ClusterLoggingconfiguration is correct. Run the following commands:Validate that the appropriate input and output logs are configured:
$ oc get -n openshift-logging ClusterLogForwarder instance -o yamlExample output
apiVersion: logging.openshift.io/v1 kind: ClusterLogForwarder metadata: creationTimestamp: "2022-07-19T21:51:41Z" generation: 1 name: instance namespace: openshift-logging resourceVersion: "1030342" uid: 8c1a842d-80c5-447a-9150-40350bdf40f0 spec: inputs: - infrastructure: {} name: infra-logs outputs: - name: kafka-open type: kafka url: tcp://10.46.55.190:9092/test pipelines: - inputRefs: - audit name: audit-logs outputRefs: - kafka-open - inputRefs: - infrastructure name: infrastructure-logs outputRefs: - kafka-open ...Check that the curation schedule is appropriate for your application:
$ oc get -n openshift-logging clusterloggings.logging.openshift.io instance -o yamlExample output
apiVersion: logging.openshift.io/v1 kind: ClusterLogging metadata: creationTimestamp: "2022-07-07T18:22:56Z" generation: 1 name: instance namespace: openshift-logging resourceVersion: "235796" uid: ef67b9b8-0e65-4a10-88ff-ec06922ea796 spec: collection: logs: fluentd: {} type: fluentd curation: curator: schedule: 30 3 * * * type: curator managementState: Managed ...
Check that the web console is disabled (
managementState: Removed) by running the following command:$ oc get consoles.operator.openshift.io cluster -o jsonpath="{ .spec.managementState }"Example output
RemovedCheck that
chronydis disabled on the cluster node by running the following commands:$ oc debug node/<node_name>Check the status of
chronydon the node:sh-4.4# chroot /hostsh-4.4# systemctl status chronydExample output
● chronyd.service - NTP client/server Loaded: loaded (/usr/lib/systemd/system/chronyd.service; disabled; vendor preset: enabled) Active: inactive (dead) Docs: man:chronyd(8) man:chrony.conf(5)Check that the PTP interface is successfully synchronized to the primary clock using a remote shell connection to the
linuxptp-daemoncontainer and the PTP Management Client (pmc) tool:Set the
$PTP_POD_NAMEvariable with the name of thelinuxptp-daemonpod by running the following command:$ PTP_POD_NAME=$(oc get pods -n openshift-ptp -l app=linuxptp-daemon -o name)Run the following command to check the sync status of the PTP device:
$ oc -n openshift-ptp rsh -c linuxptp-daemon-container ${PTP_POD_NAME} pmc -u -f /var/run/ptp4l.0.config -b 0 'GET PORT_DATA_SET'Example output
sending: GET PORT_DATA_SET 3cecef.fffe.7a7020-1 seq 0 RESPONSE MANAGEMENT PORT_DATA_SET portIdentity 3cecef.fffe.7a7020-1 portState SLAVE logMinDelayReqInterval -4 peerMeanPathDelay 0 logAnnounceInterval 1 announceReceiptTimeout 3 logSyncInterval 0 delayMechanism 1 logMinPdelayReqInterval 0 versionNumber 2 3cecef.fffe.7a7020-2 seq 0 RESPONSE MANAGEMENT PORT_DATA_SET portIdentity 3cecef.fffe.7a7020-2 portState LISTENING logMinDelayReqInterval 0 peerMeanPathDelay 0 logAnnounceInterval 1 announceReceiptTimeout 3 logSyncInterval 0 delayMechanism 1 logMinPdelayReqInterval 0 versionNumber 2Run the following
pmccommand to check the PTP clock status:$ oc -n openshift-ptp rsh -c linuxptp-daemon-container ${PTP_POD_NAME} pmc -u -f /var/run/ptp4l.0.config -b 0 'GET TIME_STATUS_NP'Example output
sending: GET TIME_STATUS_NP 3cecef.fffe.7a7020-0 seq 0 RESPONSE MANAGEMENT TIME_STATUS_NP master_offset 101 ingress_time 1657275432697400530 cumulativeScaledRateOffset +0.000000000 scaledLastGmPhaseChange 0 gmTimeBaseIndicator 0 lastGmPhaseChange 0x0000'0000000000000000.0000 gmPresent true2 gmIdentity 3c2c30.ffff.670e00Check that the expected
master offsetvalue corresponding to the value in/var/run/ptp4l.0.configis found in thelinuxptp-daemon-containerlog:$ oc logs $PTP_POD_NAME -n openshift-ptp -c linuxptp-daemon-containerExample output
phc2sys[56020.341]: [ptp4l.1.config] CLOCK_REALTIME phc offset -1731092 s2 freq -1546242 delay 497 ptp4l[56020.390]: [ptp4l.1.config] master offset -2 s2 freq -5863 path delay 541 ptp4l[56020.390]: [ptp4l.0.config] master offset -8 s2 freq -10699 path delay 533
Check that the SR-IOV configuration is correct by running the following commands:
Check that the
disableDrainvalue in theSriovOperatorConfigresource is set totrue:$ oc get sriovoperatorconfig -n openshift-sriov-network-operator default -o jsonpath="{.spec.disableDrain}{'\n'}"Example output
trueCheck that the
SriovNetworkNodeStatesync status isSucceededby running the following command:$ oc get SriovNetworkNodeStates -n openshift-sriov-network-operator -o jsonpath="{.items[*].status.syncStatus}{'\n'}"Example output
SucceededVerify that the expected number and configuration of virtual functions (
Vfs) under each interface configured for SR-IOV is present and correct in the.status.interfacesfield. For example:$ oc get SriovNetworkNodeStates -n openshift-sriov-network-operator -o yamlExample output
apiVersion: v1 items: - apiVersion: sriovnetwork.openshift.io/v1 kind: SriovNetworkNodeState ... status: interfaces: ... - Vfs: - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.0 vendor: "8086" vfID: 0 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.1 vendor: "8086" vfID: 1 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.2 vendor: "8086" vfID: 2 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.3 vendor: "8086" vfID: 3 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.4 vendor: "8086" vfID: 4 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.5 vendor: "8086" vfID: 5 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.6 vendor: "8086" vfID: 6 - deviceID: 154c driver: vfio-pci pciAddress: 0000:3b:0a.7 vendor: "8086" vfID: 7
Check that the cluster performance profile is correct. The
cpuandhugepagessections will vary depending on your hardware configuration. Run the following command:$ oc get PerformanceProfile openshift-node-performance-profile -o yamlExample output
apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: creationTimestamp: "2022-07-19T21:51:31Z" finalizers: - foreground-deletion generation: 1 name: openshift-node-performance-profile resourceVersion: "33558" uid: 217958c0-9122-4c62-9d4d-fdc27c31118c spec: additionalKernelArgs: - idle=poll - rcupdate.rcu_normal_after_boot=0 - efi=runtime cpu: isolated: 2-51,54-103 reserved: 0-1,52-53 hugepages: defaultHugepagesSize: 1G pages: - count: 32 size: 1G machineConfigPoolSelector: pools.operator.machineconfiguration.openshift.io/master: "" net: userLevelNetworking: true nodeSelector: node-role.kubernetes.io/master: "" numa: topologyPolicy: restricted realTimeKernel: enabled: true status: conditions: - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "True" type: Available - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "True" type: Upgradeable - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "False" type: Progressing - lastHeartbeatTime: "2022-07-19T21:51:31Z" lastTransitionTime: "2022-07-19T21:51:31Z" status: "False" type: Degraded runtimeClass: performance-openshift-node-performance-profile tuned: openshift-cluster-node-tuning-operator/openshift-node-performance-openshift-node-performance-profileNoteCPU settings are dependent on the number of cores available on the server and should align with workload partitioning settings.
hugepagesconfiguration is server and application dependent.Check that the
PerformanceProfilewas successfully applied to the cluster by running the following command:$ oc get performanceprofile openshift-node-performance-profile -o jsonpath="{range .status.conditions[*]}{ @.type }{' -- '}{@.status}{'\n'}{end}"Example output
Available -- True Upgradeable -- True Progressing -- False Degraded -- FalseCheck the
Tunedperformance patch settings by running the following command:$ oc get tuneds.tuned.openshift.io -n openshift-cluster-node-tuning-operator performance-patch -o yamlExample output
apiVersion: tuned.openshift.io/v1 kind: Tuned metadata: creationTimestamp: "2022-07-18T10:33:52Z" generation: 1 name: performance-patch namespace: openshift-cluster-node-tuning-operator resourceVersion: "34024" uid: f9799811-f744-4179-bf00-32d4436c08fd spec: profile: - data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-node-performance-profile [bootloader] cmdline_crash=nohz_full=2-23,26-471 [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* [service] service.stalld=start,enable service.chronyd=stop,disable name: performance-patch recommend: - machineConfigLabels: machineconfiguration.openshift.io/role: master priority: 19 profile: performance-patch- 1
- The cpu list in
cmdline=nohz_full=will vary based on your hardware configuration.
Check that cluster networking diagnostics are disabled by running the following command:
$ oc get networks.operator.openshift.io cluster -o jsonpath='{.spec.disableNetworkDiagnostics}'Example output
trueCheck that the
Kubelethousekeeping interval is tuned to slower rate. This is set in thecontainerMountNSmachine config. Run the following command:$ oc describe machineconfig container-mount-namespace-and-kubelet-conf-master | grep OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATIONExample output
Environment="OPENSHIFT_MAX_HOUSEKEEPING_INTERVAL_DURATION=60s"Check that Grafana and
alertManagerMainare disabled and that the Prometheus retention period is set to 24h by running the following command:$ oc get configmap cluster-monitoring-config -n openshift-monitoring -o jsonpath="{ .data.config\.yaml }"Example output
grafana: enabled: false alertmanagerMain: enabled: false prometheusK8s: retention: 24hUse the following commands to verify that Grafana and
alertManagerMainroutes are not found in the cluster:$ oc get route -n openshift-monitoring alertmanager-main$ oc get route -n openshift-monitoring grafanaBoth queries should return
Error from server (NotFound)messages.
Check that there is a minimum of 4 CPUs allocated as
reservedfor each of thePerformanceProfile,Tunedperformance-patch, workload partitioning, and kernel command-line arguments by running the following command:$ oc get performanceprofile -o jsonpath="{ .items[0].spec.cpu.reserved }"Example output
0-3NoteDepending on your workload requirements, you might require additional reserved CPUs to be allocated.
Chapter 9. Advanced managed cluster configuration with SiteConfig resources Copiar enlaceEnlace copiado en el portapapeles!
You can use SiteConfig custom resources (CRs) to deploy custom functionality and configurations in your managed clusters at installation time.
9.1. Customizing extra installation manifests in the GitOps ZTP pipeline Copiar enlaceEnlace copiado en el portapapeles!
You can define a set of extra manifests for inclusion in the installation phase of the GitOps Zero Touch Provisioning (ZTP) pipeline. These manifests are linked to the SiteConfig custom resources (CRs) and are applied to the cluster during installation. Including MachineConfig CRs at install time makes the installation process more efficient.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
- Create a set of extra manifest CRs that the GitOps ZTP pipeline uses to customize the cluster installs.
In your custom
/siteconfigdirectory, create a subdirectory/custom-manifestfor your extra manifests. The following example illustrates a sample/siteconfigwith/custom-manifestfolder:siteconfig ├── site1-sno-du.yaml ├── site2-standard-du.yaml ├── extra-manifest/ └── custom-manifest └── 01-example-machine-config.yamlNoteThe subdirectory names
/custom-manifestand/extra-manifestused throughout are example names only. There is no requirement to use these names and no restriction on how you name these subdirectories. In this example/extra-manifestrefers to the Git subdirectory that stores the contents of/extra-manifestfrom theztp-site-generatecontainer.-
Add your custom extra manifest CRs to the
siteconfig/custom-manifestdirectory. In your
SiteConfigCR, enter the directory name in theextraManifests.searchPathsfield, for example:clusters: - clusterName: "example-sno" networkType: "OVNKubernetes" extraManifests: searchPaths: - extra-manifest/1 - custom-manifest/2 -
Save the
SiteConfig,/extra-manifest, and/custom-manifestCRs, and push them to the site configuration repo.
During cluster provisioning, the GitOps ZTP pipeline appends the CRs in the /custom-manifest directory to the default set of extra manifests stored in extra-manifest/.
As of version 4.14 extraManifestPath is subject to a deprecation warning.
While extraManifestPath is still supported, we recommend that you use extraManifests.searchPaths. If you define extraManifests.searchPaths in the SiteConfig file, the GitOps ZTP pipeline does not fetch manifests from the ztp-site-generate container during site installation.
If you define both extraManifestPath and extraManifests.searchPaths in the Siteconfig CR, the setting defined for extraManifests.searchPaths takes precedence.
It is strongly recommended that you extract the contents of /extra-manifest from the ztp-site-generate container and push it to the GIT repository.
9.2. Filtering custom resources using SiteConfig filters Copiar enlaceEnlace copiado en el portapapeles!
By using filters, you can easily customize SiteConfig custom resources (CRs) to include or exclude other CRs for use in the installation phase of the GitOps Zero Touch Provisioning (ZTP) pipeline.
You can specify an inclusionDefault value of include or exclude for the SiteConfig CR, along with a list of the specific extraManifest RAN CRs that you want to include or exclude. Setting inclusionDefault to include makes the GitOps ZTP pipeline apply all the files in /source-crs/extra-manifest during installation. Setting inclusionDefault to exclude does the opposite.
You can exclude individual CRs from the /source-crs/extra-manifest folder that are otherwise included by default. The following example configures a custom single-node OpenShift SiteConfig CR to exclude the /source-crs/extra-manifest/03-sctp-machine-config-worker.yaml CR at installation time.
Some additional optional filtering scenarios are also described.
Prerequisites
- You configured the hub cluster for generating the required installation and policy CRs.
- You created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the Argo CD application.
Procedure
To prevent the GitOps ZTP pipeline from applying the
03-sctp-machine-config-worker.yamlCR file, apply the following YAML in theSiteConfigCR:apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "site1-sno-du" namespace: "site1-sno-du" spec: baseDomain: "example.com" pullSecretRef: name: "assisted-deployment-pull-secret" clusterImageSetNameRef: "openshift-4.15" sshPublicKey: "<ssh_public_key>" clusters: - clusterName: "site1-sno-du" extraManifests: filter: exclude: - 03-sctp-machine-config-worker.yamlThe GitOps ZTP pipeline skips the
03-sctp-machine-config-worker.yamlCR during installation. All other CRs in/source-crs/extra-manifestare applied.Save the
SiteConfigCR and push the changes to the site configuration repository.The GitOps ZTP pipeline monitors and adjusts what CRs it applies based on the
SiteConfigfilter instructions.Optional: To prevent the GitOps ZTP pipeline from applying all the
/source-crs/extra-manifestCRs during cluster installation, apply the following YAML in theSiteConfigCR:- clusterName: "site1-sno-du" extraManifests: filter: inclusionDefault: excludeOptional: To exclude all the
/source-crs/extra-manifestRAN CRs and instead include a custom CR file during installation, edit the customSiteConfigCR to set the custom manifests folder and theincludefile, for example:clusters: - clusterName: "site1-sno-du" extraManifestPath: "<custom_manifest_folder>"1 extraManifests: filter: inclusionDefault: exclude2 include: - custom-sctp-machine-config-worker.yamlThe following example illustrates the custom folder structure:
siteconfig ├── site1-sno-du.yaml └── user-custom-manifest └── custom-sctp-machine-config-worker.yaml
9.3. Deleting a node by using the SiteConfig CR Copiar enlaceEnlace copiado en el portapapeles!
By using a SiteConfig custom resource (CR), you can delete and reprovision a node. This method is more efficient than manually deleting the node.
Prerequisites
- You have configured the hub cluster to generate the required installation and policy CRs.
- You have created a Git repository in which you can manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as the source repository for the Argo CD application.
Procedure
Update the
SiteConfigCR to include thebmac.agent-install.openshift.io/remove-agent-and-node-on-delete=trueannotation and push the changes to the Git repository:apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "cnfdf20" namespace: "cnfdf20" spec: clusters: nodes: - hostname: node6 role: "worker" crAnnotations: add: BareMetalHost: bmac.agent-install.openshift.io/remove-agent-and-node-on-delete: true # ...Verify that the
BareMetalHostobject is annotated by running the following command:oc get bmh -n <managed-cluster-namespace> <bmh-object> -ojsonpath='{.metadata}' | jq -r '.annotations["bmac.agent-install.openshift.io/remove-agent-and-node-on-delete"]'Example output
trueSuppress the generation of the
BareMetalHostCR by updating theSiteConfigCR to include thecrSuppression.BareMetalHostannotation:apiVersion: ran.openshift.io/v1 kind: SiteConfig metadata: name: "cnfdf20" namespace: "cnfdf20" spec: clusters: - nodes: - hostName: node6 role: "worker" crSuppression: - BareMetalHost # ...-
Push the changes to the Git repository and wait for deprovisioning to start. The status of the
BareMetalHostCR should change todeprovisioning. Wait for theBareMetalHostto finish deprovisioning, and be fully deleted.
Verification
Verify that the
BareMetalHostandAgentCRs for the worker node have been deleted from the hub cluster by running the following commands:$ oc get bmh -n <cluster-ns>$ oc get agent -n <cluster-ns>Verify that the node record has been deleted from the spoke cluster by running the following command:
$ oc get nodesNoteIf you are working with secrets, deleting a secret too early can cause an issue because ArgoCD needs the secret to complete resynchronization after deletion. Delete the secret only after the node cleanup, when the current ArgoCD synchronization is complete.
Next steps
To reprovision a node, delete the changes previously added to the SiteConfig, push the changes to the Git repository, and wait for the synchronization to complete. This regenerates the BareMetalHost CR of the worker node and triggers the re-install of the node.
Chapter 10. Advanced managed cluster configuration with PolicyGenTemplate resources Copiar enlaceEnlace copiado en el portapapeles!
You can use PolicyGenTemplate CRs to deploy custom functionality in your managed clusters.
10.1. Deploying additional changes to clusters Copiar enlaceEnlace copiado en el portapapeles!
If you require cluster configuration changes outside of the base GitOps Zero Touch Provisioning (ZTP) pipeline configuration, there are three options:
- Apply the additional configuration after the GitOps ZTP pipeline is complete
- When the GitOps ZTP pipeline deployment is complete, the deployed cluster is ready for application workloads. At this point, you can install additional Operators and apply configurations specific to your requirements. Ensure that additional configurations do not negatively affect the performance of the platform or allocated CPU budget.
- Add content to the GitOps ZTP library
- The base source custom resources (CRs) that you deploy with the GitOps ZTP pipeline can be augmented with custom content as required.
- Create extra manifests for the cluster installation
- Extra manifests are applied during installation and make the installation process more efficient.
Providing additional source CRs or modifying existing source CRs can significantly impact the performance or CPU profile of OpenShift Container Platform.
10.2. Using PolicyGenTemplate CRs to override source CRs content Copiar enlaceEnlace copiado en el portapapeles!
PolicyGenTemplate custom resources (CRs) allow you to overlay additional configuration details on top of the base source CRs provided with the GitOps plugin in the ztp-site-generate container. You can think of PolicyGenTemplate CRs as a logical merge or patch to the base CR. Use PolicyGenTemplate CRs to update a single field of the base CR, or overlay the entire contents of the base CR. You can update values and insert fields that are not in the base CR.
The following example procedure describes how to update fields in the generated PerformanceProfile CR for the reference configuration based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml file. Use the procedure as a basis for modifying other parts of the PolicyGenTemplate based on your requirements.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for Argo CD.
Procedure
Review the baseline source CR for existing content. You can review the source CRs listed in the reference
PolicyGenTemplateCRs by extracting them from the GitOps Zero Touch Provisioning (ZTP) container.Create an
/outfolder:$ mkdir -p ./outExtract the source CRs:
$ podman run --log-driver=none --rm registry.redhat.io/openshift4/ztp-site-generate-rhel8:v4.15.1 extract /home/ztp --tar | tar x -C ./out
Review the baseline
PerformanceProfileCR in./out/source-crs/PerformanceProfile.yaml:apiVersion: performance.openshift.io/v2 kind: PerformanceProfile metadata: name: $name annotations: ran.openshift.io/ztp-deploy-wave: "10" spec: additionalKernelArgs: - "idle=poll" - "rcupdate.rcu_normal_after_boot=0" cpu: isolated: $isolated reserved: $reserved hugepages: defaultHugepagesSize: $defaultHugepagesSize pages: - size: $size count: $count node: $node machineConfigPoolSelector: pools.operator.machineconfiguration.openshift.io/$mcp: "" net: userLevelNetworking: true nodeSelector: node-role.kubernetes.io/$mcp: '' numa: topologyPolicy: "restricted" realTimeKernel: enabled: trueNoteAny fields in the source CR which contain
$…are removed from the generated CR if they are not provided in thePolicyGenTemplateCR.Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file. The following examplePolicyGenTemplateCR stanza supplies appropriate CPU specifications, sets thehugepagesconfiguration, and adds a new field that setsgloballyDisableIrqLoadBalancingto false.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: name: openshift-node-performance-profile spec: cpu: # These must be tailored for the specific hardware platform isolated: "2-19,22-39" reserved: "0-1,20-21" hugepages: defaultHugepagesSize: 1G pages: - size: 1G count: 10 globallyDisableIrqLoadBalancing: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP argo CD application.
Example output
The GitOps ZTP application generates an RHACM policy that contains the generated PerformanceProfile CR. The contents of that CR are derived by merging the metadata and spec contents from the PerformanceProfile entry in the PolicyGenTemplate onto the source CR. The resulting CR has the following content:
---
apiVersion: performance.openshift.io/v2
kind: PerformanceProfile
metadata:
name: openshift-node-performance-profile
spec:
additionalKernelArgs:
- idle=poll
- rcupdate.rcu_normal_after_boot=0
cpu:
isolated: 2-19,22-39
reserved: 0-1,20-21
globallyDisableIrqLoadBalancing: false
hugepages:
defaultHugepagesSize: 1G
pages:
- count: 10
size: 1G
machineConfigPoolSelector:
pools.operator.machineconfiguration.openshift.io/master: ""
net:
userLevelNetworking: true
nodeSelector:
node-role.kubernetes.io/master: ""
numa:
topologyPolicy: restricted
realTimeKernel:
enabled: true
In the /source-crs folder that you extract from the ztp-site-generate container, the $ syntax is not used for template substitution as implied by the syntax. Rather, if the policyGen tool sees the $ prefix for a string and you do not specify a value for that field in the related PolicyGenTemplate CR, the field is omitted from the output CR entirely.
An exception to this is the $mcp variable in /source-crs YAML files that is substituted with the specified value for mcp from the PolicyGenTemplate CR. For example, in example/policygentemplates/group-du-standard-ranGen.yaml, the value for mcp is worker:
spec:
bindingRules:
group-du-standard: ""
mcp: "worker"
The policyGen tool replace instances of $mcp with worker in the output CRs.
10.3. Adding custom content to the GitOps ZTP pipeline Copiar enlaceEnlace copiado en el portapapeles!
Perform the following procedure to add new content to the GitOps ZTP pipeline.
Procedure
-
Create a subdirectory named
source-crsin the directory that contains thekustomization.yamlfile for thePolicyGenTemplatecustom resource (CR). Add your user-provided CRs to the
source-crssubdirectory, as shown in the following example:example └── policygentemplates ├── dev.yaml ├── kustomization.yaml ├── mec-edge-sno1.yaml ├── sno.yaml └── source-crs1 ├── PaoCatalogSource.yaml ├── PaoSubscription.yaml ├── custom-crs | ├── apiserver-config.yaml | └── disable-nic-lldp.yaml └── elasticsearch ├── ElasticsearchNS.yaml └── ElasticsearchOperatorGroup.yaml- 1
- The
source-crssubdirectory must be in the same directory as thekustomization.yamlfile.
Update the required
PolicyGenTemplateCRs to include references to the content you added in thesource-crs/custom-crsandsource-crs/elasticsearchdirectories. For example:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "group-dev" namespace: "ztp-clusters" spec: bindingRules: dev: "true" mcp: "master" sourceFiles: # These policies/CRs come from the internal container Image #Cluster Logging - fileName: ClusterLogNS.yaml remediationAction: inform policyName: "group-dev-cluster-log-ns" - fileName: ClusterLogOperGroup.yaml remediationAction: inform policyName: "group-dev-cluster-log-operator-group" - fileName: ClusterLogSubscription.yaml remediationAction: inform policyName: "group-dev-cluster-log-sub" #Local Storage Operator - fileName: StorageNS.yaml remediationAction: inform policyName: "group-dev-lso-ns" - fileName: StorageOperGroup.yaml remediationAction: inform policyName: "group-dev-lso-operator-group" - fileName: StorageSubscription.yaml remediationAction: inform policyName: "group-dev-lso-sub" #These are custom local polices that come from the source-crs directory in the git repo # Performance Addon Operator - fileName: PaoSubscriptionNS.yaml remediationAction: inform policyName: "group-dev-pao-ns" - fileName: PaoSubscriptionCatalogSource.yaml remediationAction: inform policyName: "group-dev-pao-cat-source" spec: image: <image_URL_here> - fileName: PaoSubscription.yaml remediationAction: inform policyName: "group-dev-pao-sub" #Elasticsearch Operator - fileName: elasticsearch/ElasticsearchNS.yaml1 remediationAction: inform policyName: "group-dev-elasticsearch-ns" - fileName: elasticsearch/ElasticsearchOperatorGroup.yaml remediationAction: inform policyName: "group-dev-elasticsearch-operator-group" #Custom Resources - fileName: custom-crs/apiserver-config.yaml2 remediationAction: inform policyName: "group-dev-apiserver-config" - fileName: custom-crs/disable-nic-lldp.yaml remediationAction: inform policyName: "group-dev-disable-nic-lldp"-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository that is monitored by the GitOps ZTP Argo CD policies application. Update the
ClusterGroupUpgradeCR to include the changedPolicyGenTemplateand save it ascgu-test.yaml. The following example shows a generatedcgu-test.yamlfile.apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: custom-source-cr namespace: ztp-clusters spec: managedPolicies: - group-dev-config-policy enable: true clusters: - cluster1 remediationStrategy: maxConcurrency: 2 timeout: 240Apply the updated
ClusterGroupUpgradeCR by running the following command:$ oc apply -f cgu-test.yaml
Verification
Check that the updates have succeeded by running the following command:
$ oc get cgu -AExample output
NAMESPACE NAME AGE STATE DETAILS ztp-clusters custom-source-cr 6s InProgress Remediating non-compliant policies ztp-install cluster1 19h Completed All clusters are compliant with all the managed policies
10.4. Configuring policy compliance evaluation timeouts for PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Use Red Hat Advanced Cluster Management (RHACM) installed on a hub cluster to monitor and report on whether your managed clusters are compliant with applied policies. RHACM uses policy templates to apply predefined policy controllers and policies. Policy controllers are Kubernetes custom resource definition (CRD) instances.
You can override the default policy evaluation intervals with PolicyGenTemplate custom resources (CRs). You configure duration settings that define how long a ConfigurationPolicy CR can be in a state of policy compliance or non-compliance before RHACM re-evaluates the applied cluster policies.
The GitOps Zero Touch Provisioning (ZTP) policy generator generates ConfigurationPolicy CR policies with pre-defined policy evaluation intervals. The default value for the noncompliant state is 10 seconds. The default value for the compliant state is 10 minutes. To disable the evaluation interval, set the value to never.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
To configure the evaluation interval for all policies in a
PolicyGenTemplateCR, addevaluationIntervalto thespecfield, and then set the appropriatecompliantandnoncompliantvalues. For example:spec: evaluationInterval: compliant: 30m noncompliant: 20sTo configure the evaluation interval for the
spec.sourceFilesobject in aPolicyGenTemplateCR, addevaluationIntervalto thesourceFilesfield, for example:spec: sourceFiles: - fileName: SriovSubscription.yaml policyName: "sriov-sub-policy" evaluationInterval: compliant: never noncompliant: 10s-
Commit the
PolicyGenTemplateCRs files in the Git repository and push your changes.
Verification
Check that the managed spoke cluster policies are monitored at the expected intervals.
-
Log in as a user with
cluster-adminprivileges on the managed cluster. Get the pods that are running in the
open-cluster-management-agent-addonnamespace. Run the following command:$ oc get pods -n open-cluster-management-agent-addonExample output
NAME READY STATUS RESTARTS AGE config-policy-controller-858b894c68-v4xdb 1/1 Running 22 (5d8h ago) 10dCheck the applied policies are being evaluated at the expected interval in the logs for the
config-policy-controllerpod:$ oc logs -n open-cluster-management-agent-addon config-policy-controller-858b894c68-v4xdbExample output
2022-05-10T15:10:25.280Z info configuration-policy-controller controllers/configurationpolicy_controller.go:166 Skipping the policy evaluation due to the policy not reaching the evaluation interval {"policy": "compute-1-config-policy-config"} 2022-05-10T15:10:25.280Z info configuration-policy-controller controllers/configurationpolicy_controller.go:166 Skipping the policy evaluation due to the policy not reaching the evaluation interval {"policy": "compute-1-common-compute-1-catalog-policy-config"}
10.5. Signalling GitOps ZTP cluster deployment completion with validator inform policies Copiar enlaceEnlace copiado en el portapapeles!
Create a validator inform policy that signals when the GitOps Zero Touch Provisioning (ZTP) installation and configuration of the deployed cluster is complete. This policy can be used for deployments of single-node OpenShift clusters, three-node clusters, and standard clusters.
Procedure
Create a standalone
PolicyGenTemplatecustom resource (CR) that contains the source filevalidatorCRs/informDuValidator.yaml. You only need one standalonePolicyGenTemplateCR for each cluster type. For example, this CR applies a validator inform policy for single-node OpenShift clusters:Example single-node cluster validator inform policy CR (group-du-sno-validator-ranGen.yaml)
apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "group-du-sno-validator"1 namespace: "ztp-group"2 spec: bindingRules: group-du-sno: ""3 bindingExcludedRules: ztp-done: ""4 mcp: "master"5 sourceFiles: - fileName: validatorCRs/informDuValidator.yaml remediationAction: inform6 policyName: "du-policy"7 - 1
- The name of
PolicyGenTemplatesobject. This name is also used as part of the names for theplacementBinding,placementRule, andpolicythat are created in the requestednamespace. - 2
- This value should match the
namespaceused in the groupPolicyGenTemplates. - 3
- The
group-du-*label defined inbindingRulesmust exist in theSiteConfigfiles. - 4
- The label defined in
bindingExcludedRulesmust be`ztp-done:`. Theztp-donelabel is used in coordination with the Topology Aware Lifecycle Manager. - 5
mcpdefines theMachineConfigPoolobject that is used in the source filevalidatorCRs/informDuValidator.yaml. It should bemasterfor single node and three-node cluster deployments andworkerfor standard cluster deployments.- 6
- Optional. The default value is
inform. - 7
- This value is used as part of the name for the generated RHACM policy. The generated validator policy for the single node example is
group-du-sno-validator-du-policy.
-
Commit the
PolicyGenTemplateCR file in your Git repository and push the changes.
10.6. Configuring power states using PolicyGenTemplates CRs Copiar enlaceEnlace copiado en el portapapeles!
For low latency and high-performance edge deployments, it is necessary to disable or limit C-states and P-states. With this configuration, the CPU runs at a constant frequency, which is typically the maximum turbo frequency. This ensures that the CPU is always running at its maximum speed, which results in high performance and low latency. This leads to the best latency for workloads. However, this also leads to the highest power consumption, which might not be necessary for all workloads.
Workloads can be classified as critical or non-critical, with critical workloads requiring disabled C-state and P-state settings for high performance and low latency, while non-critical workloads use C-state and P-state settings for power savings at the expense of some latency and performance. You can configure the following three power states using GitOps Zero Touch Provisioning (ZTP):
- High-performance mode provides ultra low latency at the highest power consumption.
- Performance mode provides low latency at a relatively high power consumption.
- Power saving balances reduced power consumption with increased latency.
The default configuration is for a low latency, performance mode.
PolicyGenTemplate custom resources (CRs) allow you to overlay additional configuration details onto the base source CRs provided with the GitOps plugin in the ztp-site-generate container.
Configure the power states by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
The following common prerequisites apply to configuring all three power states.
Prerequisites
- You have created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for Argo CD.
- You have followed the procedure described in "Preparing the GitOps ZTP site configuration repository".
10.6.1. Configuring performance mode using PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Follow this example to set performance mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
Performance mode provides low latency at a relatively high power consumption.
Prerequisites
- You have configured the BIOS with performance related settings by following the guidance in "Configuring host firmware for low latency and high performance".
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to set performance mode.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: false perPodPowerManagement: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
10.6.2. Configuring high-performance mode using PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Follow this example to set high performance mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
High performance mode provides ultra low latency at the highest power consumption.
Prerequisites
- You have configured the BIOS with performance related settings by following the guidance in "Configuring host firmware for low latency and high performance".
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to set high-performance mode.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: true perPodPowerManagement: false-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
10.6.3. Configuring power saving mode using PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Follow this example to set power saving mode by updating the workloadHints fields in the generated PerformanceProfile CR for the reference configuration, based on the PolicyGenTemplate CR in the group-du-sno-ranGen.yaml.
The power saving mode balances reduced power consumption with increased latency.
Prerequisites
- You enabled C-states and OS-controlled P-states in the BIOS.
Procedure
Update the
PolicyGenTemplateentry forPerformanceProfilein thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplatesas follows to configure power saving mode. It is recommended to configure the CPU governor for the power saving mode through the additional kernel arguments object.- fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: [...] spec: [...] workloadHints: realTime: true highPowerConsumption: false perPodPowerManagement: true [...] additionalKernelArgs: - [...] - "cpufreq.default_governor=schedutil"1 - 1
- The
schedutilgovernor is recommended, however, other governors that can be used includeondemandandpowersave.
-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
Verification
Select a worker node in your deployed cluster from the list of nodes identified by using the following command:
$ oc get nodesLog in to the node by using the following command:
$ oc debug node/<node-name>Replace
<node-name>with the name of the node you want to verify the power state on.Set
/hostas the root directory within the debug shell. The debug pod mounts the host’s root file system in/hostwithin the pod. By changing the root directory to/host, you can run binaries contained in the host’s executable paths as shown in the following example:# chroot /hostRun the following command to verify the applied power state:
# cat /proc/cmdline
Expected output
-
For power saving mode the
intel_pstate=passive.
10.6.4. Maximizing power savings Copiar enlaceEnlace copiado en el portapapeles!
Limiting the maximum CPU frequency is recommended to achieve maximum power savings. Enabling C-states on the non-critical workload CPUs without restricting the maximum CPU frequency negates much of the power savings by boosting the frequency of the critical CPUs.
Maximize power savings by updating the sysfs plugin fields, setting an appropriate value for max_perf_pct in the TunedPerformancePatch CR for the reference configuration. This example based on the group-du-sno-ranGen.yaml describes the procedure to follow to restrict the maximum CPU frequency.
Prerequisites
- You have configured power savings mode as described in "Using PolicyGenTemplate CRs to configure power savings mode".
Procedure
Update the
PolicyGenTemplateentry forTunedPerformancePatchin thegroup-du-sno-ranGen.yamlreference file inout/argocd/example/policygentemplates. To maximize power savings, addmax_perf_pctas shown in the following example:- fileName: TunedPerformancePatch.yaml policyName: "config-policy" spec: profile: - name: performance-patch data: | [...] [sysfs] /sys/devices/system/cpu/intel_pstate/max_perf_pct=<x>1 - 1
- The
max_perf_pctcontrols the maximum frequency thecpufreqdriver is allowed to set as a percentage of the maximum supported CPU frequency. This value applies to all CPUs. You can check the maximum supported frequency in/sys/devices/system/cpu/cpu0/cpufreq/cpuinfo_max_freq. As a starting point, you can use a percentage that caps all CPUs at theAll Cores Turbofrequency. TheAll Cores Turbofrequency is the frequency that all cores will run at when the cores are all fully occupied.
NoteTo maximize power savings, set a lower value. Setting a lower value for
max_perf_pctlimits the maximum CPU frequency, thereby reducing power consumption, but also potentially impacting performance. Experiment with different values and monitor the system’s performance and power consumption to find the optimal setting for your use-case.-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP Argo CD application.
10.7. Configuring LVM Storage using PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
You can configure Logical Volume Manager (LVM) Storage for managed clusters that you deploy with GitOps Zero Touch Provisioning (ZTP).
You use LVM Storage to persist event subscriptions when you use PTP events or bare-metal hardware events with HTTP transport.
Use the Local Storage Operator for persistent storage that uses local volumes in distributed units.
Prerequisites
-
Install the OpenShift CLI (
oc). -
Log in as a user with
cluster-adminprivileges. - Create a Git repository where you manage your custom site configuration data.
Procedure
To configure LVM Storage for new managed clusters, add the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:- fileName: StorageLVMOSubscriptionNS.yaml policyName: subscription-policies - fileName: StorageLVMOSubscriptionOperGroup.yaml policyName: subscription-policies - fileName: StorageLVMOSubscription.yaml spec: name: lvms-operator channel: stable-4.15 policyName: subscription-policiesNoteThe Storage LVMO subscription is deprecated. In future releases of OpenShift Container Platform, the storage LVMO subscription will not be available. Instead, you must use the Storage LVMS subscription.
In OpenShift Container Platform 4.15, you can use the Storage LVMS subscription instead of the LVMO subscription. The LVMS subscription does not require manual overrides in the
common-ranGen.yamlfile. Add the following YAML tospec.sourceFilesin thecommon-ranGen.yamlfile to use the Storage LVMS subscription:- fileName: StorageLVMSubscriptionNS.yaml policyName: subscription-policies - fileName: StorageLVMSubscriptionOperGroup.yaml policyName: subscription-policies - fileName: StorageLVMSubscription.yaml policyName: subscription-policiesAdd the
LVMClusterCR tospec.sourceFilesin your specific group or individual site configuration file. For example, in thegroup-du-sno-ranGen.yamlfile, add the following:- fileName: StorageLVMCluster.yaml policyName: "lvms-config"1 spec: storage: deviceClasses: - name: vg1 thinPoolConfig: name: thin-pool-1 sizePercent: 90 overprovisionRatio: 10- 1
- This example configuration creates a volume group (
vg1) with all the available devices, except the disk where OpenShift Container Platform is installed. A thin-pool logical volume is also created.
- Merge any other required changes and files with your custom site repository.
-
Commit the
PolicyGenTemplatechanges in Git, and then push the changes to your site configuration repository to deploy LVM Storage to new sites using GitOps ZTP.
10.8. Configuring PTP events with PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
You can use the GitOps ZTP pipeline to configure PTP events that use HTTP or AMQP transport.
HTTP transport is the default transport for PTP and bare-metal events. Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
10.8.1. Configuring PTP events that use HTTP transport Copiar enlaceEnlace copiado en el portapapeles!
You can configure PTP events that use HTTP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Apply the following
PolicyGenTemplatechanges togroup-du-3node-ranGen.yaml,group-du-sno-ranGen.yaml, orgroup-du-standard-ranGen.yamlfiles according to your requirements:In
.sourceFiles, add thePtpOperatorConfigCR file that configures the transport host:- fileName: PtpOperatorConfigForEvent.yaml policyName: "config-policy" spec: daemonNodeSelector: {} ptpEventConfig: enableEventPublisher: true transportHost: http://ptp-event-publisher-service-NODE_NAME.openshift-ptp.svc.cluster.local:9043NoteIn OpenShift Container Platform 4.13 or later, you do not need to set the
transportHostfield in thePtpOperatorConfigresource when you use HTTP transport with PTP events.Configure the
linuxptpandphc2sysfor the PTP clock type and interface. For example, add the following stanza into.sourceFiles:- fileName: PtpConfigSlave.yaml1 policyName: "config-policy" metadata: name: "du-ptp-slave" spec: profile: - name: "slave" interface: "ens5f1"2 ptp4lOpts: "-2 -s --summary_interval -4"3 phc2sysOpts: "-a -r -m -n 24 -N 8 -R 16"4 ptpClockThreshold:5 holdOverTimeout: 30 #secs maxOffsetThreshold: 100 #nano secs minOffsetThreshold: -100 #nano secs- 1
- Can be
PtpConfigMaster.yamlorPtpConfigSlave.yamldepending on your requirements. For configurations based ongroup-du-sno-ranGen.yamlorgroup-du-3node-ranGen.yaml, usePtpConfigSlave.yaml. - 2
- Device specific interface name.
- 3
- You must append the
--summary_interval -4value toptp4lOptsin.spec.sourceFiles.spec.profileto enable PTP fast events. - 4
- Required
phc2sysOptsvalues.-mprints messages tostdout. Thelinuxptp-daemonDaemonSetparses the logs and generates Prometheus metrics. - 5
- Optional. If the
ptpClockThresholdstanza is not present, default values are used for theptpClockThresholdfields. The stanza shows defaultptpClockThresholdvalues. TheptpClockThresholdvalues configure how long after the PTP master clock is disconnected before PTP events are triggered.holdOverTimeoutis the time value in seconds before the PTP clock event state changes toFREERUNwhen the PTP master clock is disconnected. ThemaxOffsetThresholdandminOffsetThresholdsettings configure offset values in nanoseconds that compare against the values forCLOCK_REALTIME(phc2sys) or master offset (ptp4l). When theptp4lorphc2sysoffset value is outside this range, the PTP clock state is set toFREERUN. When the offset value is within this range, the PTP clock state is set toLOCKED.
- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy PTP fast events to new sites using GitOps ZTP.
10.8.2. Configuring PTP events that use AMQP transport Copiar enlaceEnlace copiado en el portapapeles!
You can configure PTP events that use AMQP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
HTTP transport is the default transport for PTP and bare-metal events. Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Add the following YAML into
.spec.sourceFilesin thecommon-ranGen.yamlfile to configure the AMQP Operator:#AMQ interconnect operator for fast events - fileName: AmqSubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: AmqSubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: AmqSubscription.yaml policyName: "subscriptions-policy"Apply the following
PolicyGenTemplatechanges togroup-du-3node-ranGen.yaml,group-du-sno-ranGen.yaml, orgroup-du-standard-ranGen.yamlfiles according to your requirements:In
.sourceFiles, add thePtpOperatorConfigCR file that configures the AMQ transport host to theconfig-policy:- fileName: PtpOperatorConfigForEvent.yaml policyName: "config-policy" spec: daemonNodeSelector: {} ptpEventConfig: enableEventPublisher: true transportHost: "amqp://amq-router.amq-router.svc.cluster.local"Configure the
linuxptpandphc2sysfor the PTP clock type and interface. For example, add the following stanza into.sourceFiles:- fileName: PtpConfigSlave.yaml1 policyName: "config-policy" metadata: name: "du-ptp-slave" spec: profile: - name: "slave" interface: "ens5f1"2 ptp4lOpts: "-2 -s --summary_interval -4"3 phc2sysOpts: "-a -r -m -n 24 -N 8 -R 16"4 ptpClockThreshold:5 holdOverTimeout: 30 #secs maxOffsetThreshold: 100 #nano secs minOffsetThreshold: -100 #nano secs- 1
- Can be
PtpConfigMaster.yamlorPtpConfigSlave.yamldepending on your requirements. For configurations based ongroup-du-sno-ranGen.yamlorgroup-du-3node-ranGen.yaml, usePtpConfigSlave.yaml. - 2
- Device specific interface name.
- 3
- You must append the
--summary_interval -4value toptp4lOptsin.spec.sourceFiles.spec.profileto enable PTP fast events. - 4
- Required
phc2sysOptsvalues.-mprints messages tostdout. Thelinuxptp-daemonDaemonSetparses the logs and generates Prometheus metrics. - 5
- Optional. If the
ptpClockThresholdstanza is not present, default values are used for theptpClockThresholdfields. The stanza shows defaultptpClockThresholdvalues. TheptpClockThresholdvalues configure how long after the PTP master clock is disconnected before PTP events are triggered.holdOverTimeoutis the time value in seconds before the PTP clock event state changes toFREERUNwhen the PTP master clock is disconnected. ThemaxOffsetThresholdandminOffsetThresholdsettings configure offset values in nanoseconds that compare against the values forCLOCK_REALTIME(phc2sys) or master offset (ptp4l). When theptp4lorphc2sysoffset value is outside this range, the PTP clock state is set toFREERUN. When the offset value is within this range, the PTP clock state is set toLOCKED.
Apply the following
PolicyGenTemplatechanges to your specific site YAML files, for example,example-sno-site.yaml:In
.sourceFiles, add theInterconnectCR file that configures the AMQ router to theconfig-policy:- fileName: AmqInstance.yaml policyName: "config-policy"
- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy PTP fast events to new sites using GitOps ZTP.
10.9. Configuring bare-metal events with PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
You can use the GitOps ZTP pipeline to configure bare-metal events that use HTTP or AMQP transport.
HTTP transport is the default transport for PTP and bare-metal events. Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
10.9.1. Configuring bare-metal events that use HTTP transport Copiar enlaceEnlace copiado en el portapapeles!
You can configure bare-metal events that use HTTP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
Configure the Bare Metal Event Relay Operator by adding the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:# Bare Metal Event Relay operator - fileName: BareMetalEventRelaySubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscription.yaml policyName: "subscriptions-policy"Add the
HardwareEventCR tospec.sourceFilesin your specific group configuration file, for example, in thegroup-du-sno-ranGen.yamlfile:- fileName: HardwareEvent.yaml1 policyName: "config-policy" spec: nodeSelector: {} transportHost: "http://hw-event-publisher-service.openshift-bare-metal-events.svc.cluster.local:9043" logLevel: "info"- 1
- Each baseboard management controller (BMC) requires a single
HardwareEventCR only.
NoteIn OpenShift Container Platform 4.13 or later, you do not need to set the
transportHostfield in theHardwareEventcustom resource (CR) when you use HTTP transport with bare-metal events.- Merge any other required changes and files with your custom site repository.
- Push the changes to your site configuration repository to deploy bare-metal events to new sites with GitOps ZTP.
Create the Redfish Secret by running the following command:
$ oc -n openshift-bare-metal-events create secret generic redfish-basic-auth \ --from-literal=username=<bmc_username> --from-literal=password=<bmc_password> \ --from-literal=hostaddr="<bmc_host_ip_addr>"
10.9.2. Configuring bare-metal events that use AMQP transport Copiar enlaceEnlace copiado en el portapapeles!
You can configure bare-metal events that use AMQP transport on managed clusters that you deploy with the GitOps Zero Touch Provisioning (ZTP) pipeline.
HTTP transport is the default transport for PTP and bare-metal events. Use HTTP transport instead of AMQP for PTP and bare-metal events where possible. AMQ Interconnect is EOL from 30 June 2024. Extended life cycle support (ELS) for AMQ Interconnect ends 29 November 2029. For more information see, Red Hat AMQ Interconnect support status.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data.
Procedure
To configure the AMQ Interconnect Operator and the Bare Metal Event Relay Operator, add the following YAML to
spec.sourceFilesin thecommon-ranGen.yamlfile:# AMQ interconnect operator for fast events - fileName: AmqSubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: AmqSubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: AmqSubscription.yaml policyName: "subscriptions-policy" # Bare Metal Event Rely operator - fileName: BareMetalEventRelaySubscriptionNS.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscriptionOperGroup.yaml policyName: "subscriptions-policy" - fileName: BareMetalEventRelaySubscription.yaml policyName: "subscriptions-policy"Add the
InterconnectCR to.spec.sourceFilesin the site configuration file, for example, theexample-sno-site.yamlfile:- fileName: AmqInstance.yaml policyName: "config-policy"Add the
HardwareEventCR tospec.sourceFilesin your specific group configuration file, for example, in thegroup-du-sno-ranGen.yamlfile:- fileName: HardwareEvent.yaml policyName: "config-policy" spec: nodeSelector: {} transportHost: "amqp://<amq_interconnect_name>.<amq_interconnect_namespace>.svc.cluster.local"1 logLevel: "info"- 1
- The
transportHostURL is composed of the existing AMQ Interconnect CRnameandnamespace. For example, intransportHost: "amqp://amq-router.amq-router.svc.cluster.local", the AMQ Interconnectnameandnamespaceare both set toamq-router.
NoteEach baseboard management controller (BMC) requires a single
HardwareEventresource only.-
Commit the
PolicyGenTemplatechange in Git, and then push the changes to your site configuration repository to deploy bare-metal events monitoring to new sites using GitOps ZTP. Create the Redfish Secret by running the following command:
$ oc -n openshift-bare-metal-events create secret generic redfish-basic-auth \ --from-literal=username=<bmc_username> --from-literal=password=<bmc_password> \ --from-literal=hostaddr="<bmc_host_ip_addr>"
10.10. Configuring the Image Registry Operator for local caching of images Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform manages image caching using a local registry. In edge computing use cases, clusters are often subject to bandwidth restrictions when communicating with centralized image registries, which might result in long image download times.
Long download times are unavoidable during initial deployment. Over time, there is a risk that CRI-O will erase the /var/lib/containers/storage directory in the case of an unexpected shutdown. To address long image download times, you can create a local image registry on remote managed clusters using GitOps Zero Touch Provisioning (ZTP). This is useful in Edge computing scenarios where clusters are deployed at the far edge of the network.
Before you can set up the local image registry with GitOps ZTP, you need to configure disk partitioning in the SiteConfig CR that you use to install the remote managed cluster. After installation, you configure the local image registry using a PolicyGenTemplate CR. Then, the GitOps ZTP pipeline creates Persistent Volume (PV) and Persistent Volume Claim (PVC) CRs and patches the imageregistry configuration.
The local image registry can only be used for user application images and cannot be used for the OpenShift Container Platform or Operator Lifecycle Manager operator images.
10.10.1. Configuring disk partitioning with SiteConfig Copiar enlaceEnlace copiado en el portapapeles!
Configure disk partitioning for a managed cluster using a SiteConfig CR and GitOps Zero Touch Provisioning (ZTP). The disk partition details in the SiteConfig CR must match the underlying disk.
You must complete this procedure at installation time.
Prerequisites
- Install Butane.
Procedure
Create the
storage.bufile by using the following example YAML file:variant: fcos version: 1.3.0 storage: disks: - device: /dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:01 wipe_table: false partitions: - label: var-lib-containers start_mib: <start_of_partition>2 size_mib: <partition_size>3 filesystems: - path: /var/lib/containers device: /dev/disk/by-partlabel/var-lib-containers format: xfs wipe_filesystem: true with_mount_unit: true mount_options: - defaults - prjquotaConvert the
storage.buto an Ignition file by running the following command:$ butane storage.buExample output
{"ignition":{"version":"3.2.0"},"storage":{"disks":[{"device":"/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0","partitions":[{"label":"var-lib-containers","sizeMiB":0,"startMiB":250000}],"wipeTable":false}],"filesystems":[{"device":"/dev/disk/by-partlabel/var-lib-containers","format":"xfs","mountOptions":["defaults","prjquota"],"path":"/var/lib/containers","wipeFilesystem":true}]},"systemd":{"units":[{"contents":"# # Generated by Butane\n[Unit]\nRequires=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\nAfter=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\n\n[Mount]\nWhere=/var/lib/containers\nWhat=/dev/disk/by-partlabel/var-lib-containers\nType=xfs\nOptions=defaults,prjquota\n\n[Install]\nRequiredBy=local-fs.target","enabled":true,"name":"var-lib-containers.mount"}]}}- Use a tool such as JSON Pretty Print to convert the output into JSON format.
Copy the output into the
.spec.clusters.nodes.ignitionConfigOverridefield in theSiteConfigCR.Example
[...] spec: clusters: - nodes: - ignitionConfigOverride: | { "ignition": { "version": "3.2.0" }, "storage": { "disks": [ { "device": "/dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0", "partitions": [ { "label": "var-lib-containers", "sizeMiB": 0, "startMiB": 250000 } ], "wipeTable": false } ], "filesystems": [ { "device": "/dev/disk/by-partlabel/var-lib-containers", "format": "xfs", "mountOptions": [ "defaults", "prjquota" ], "path": "/var/lib/containers", "wipeFilesystem": true } ] }, "systemd": { "units": [ { "contents": "# # Generated by Butane\n[Unit]\nRequires=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\nAfter=systemd-fsck@dev-disk-by\\x2dpartlabel-var\\x2dlib\\x2dcontainers.service\n\n[Mount]\nWhere=/var/lib/containers\nWhat=/dev/disk/by-partlabel/var-lib-containers\nType=xfs\nOptions=defaults,prjquota\n\n[Install]\nRequiredBy=local-fs.target", "enabled": true, "name": "var-lib-containers.mount" } ] } } [...]NoteIf the
.spec.clusters.nodes.ignitionConfigOverridefield does not exist, create it.
Verification
During or after installation, verify on the hub cluster that the
BareMetalHostobject shows the annotation by running the following command:$ oc get bmh -n my-sno-ns my-sno -ojson | jq '.metadata.annotations["bmac.agent-install.openshift.io/ignition-config-overrides"]Example output
"{\"ignition\":{\"version\":\"3.2.0\"},\"storage\":{\"disks\":[{\"device\":\"/dev/disk/by-id/wwn-0x6b07b250ebb9d0002a33509f24af1f62\",\"partitions\":[{\"label\":\"var-lib-containers\",\"sizeMiB\":0,\"startMiB\":250000}],\"wipeTable\":false}],\"filesystems\":[{\"device\":\"/dev/disk/by-partlabel/var-lib-containers\",\"format\":\"xfs\",\"mountOptions\":[\"defaults\",\"prjquota\"],\"path\":\"/var/lib/containers\",\"wipeFilesystem\":true}]},\"systemd\":{\"units\":[{\"contents\":\"# Generated by Butane\\n[Unit]\\nRequires=systemd-fsck@dev-disk-by\\\\x2dpartlabel-var\\\\x2dlib\\\\x2dcontainers.service\\nAfter=systemd-fsck@dev-disk-by\\\\x2dpartlabel-var\\\\x2dlib\\\\x2dcontainers.service\\n\\n[Mount]\\nWhere=/var/lib/containers\\nWhat=/dev/disk/by-partlabel/var-lib-containers\\nType=xfs\\nOptions=defaults,prjquota\\n\\n[Install]\\nRequiredBy=local-fs.target\",\"enabled\":true,\"name\":\"var-lib-containers.mount\"}]}}"After installation, check the single-node OpenShift disk status.
Enter into a debug session on the single-node OpenShift node by running the following command.
This step instantiates a debug pod called
<node_name>-debug:$ oc debug node/my-sno-nodeSet
/hostas the root directory within the debug shell by running the following command.The debug pod mounts the host’s root file system in
/hostwithin the pod. By changing the root directory to/host, you can run binaries contained in the host’s executable paths:# chroot /hostList information about all available block devices by running the following command:
# lsblkExample output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINTS sda 8:0 0 446.6G 0 disk ├─sda1 8:1 0 1M 0 part ├─sda2 8:2 0 127M 0 part ├─sda3 8:3 0 384M 0 part /boot ├─sda4 8:4 0 243.6G 0 part /var │ /sysroot/ostree/deploy/rhcos/var │ /usr │ /etc │ / │ /sysroot └─sda5 8:5 0 202.5G 0 part /var/lib/containersDisplay information about the file system disk space usage by running the following command:
# df -hExample output
Filesystem Size Used Avail Use% Mounted on devtmpfs 4.0M 0 4.0M 0% /dev tmpfs 126G 84K 126G 1% /dev/shm tmpfs 51G 93M 51G 1% /run /dev/sda4 244G 5.2G 239G 3% /sysroot tmpfs 126G 4.0K 126G 1% /tmp /dev/sda5 203G 119G 85G 59% /var/lib/containers /dev/sda3 350M 110M 218M 34% /boot tmpfs 26G 0 26G 0% /run/user/1000
10.10.2. Configuring the image registry using PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Use PolicyGenTemplate (PGT) CRs to apply the CRs required to configure the image registry and patch the imageregistry configuration.
Prerequisites
- You have configured a disk partition in the managed cluster.
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data for use with GitOps Zero Touch Provisioning (ZTP).
Procedure
Configure the storage class, persistent volume claim, persistent volume, and image registry configuration in the appropriate
PolicyGenTemplateCR. For example, to configure an individual site, add the following YAML to the fileexample-sno-site.yaml:sourceFiles: # storage class - fileName: StorageClass.yaml policyName: "sc-for-image-registry" metadata: name: image-registry-sc annotations: ran.openshift.io/ztp-deploy-wave: "100"1 # persistent volume claim - fileName: StoragePVC.yaml policyName: "pvc-for-image-registry" metadata: name: image-registry-pvc namespace: openshift-image-registry annotations: ran.openshift.io/ztp-deploy-wave: "100" spec: accessModes: - ReadWriteMany resources: requests: storage: 100Gi storageClassName: image-registry-sc volumeMode: Filesystem # persistent volume - fileName: ImageRegistryPV.yaml2 policyName: "pv-for-image-registry" metadata: annotations: ran.openshift.io/ztp-deploy-wave: "100" - fileName: ImageRegistryConfig.yaml policyName: "config-for-image-registry" complianceType: musthave metadata: annotations: ran.openshift.io/ztp-deploy-wave: "100" spec: storage: pvc: claim: "image-registry-pvc"- 1
- Set the appropriate value for
ztp-deploy-wavedepending on whether you are configuring image registries at the site, common, or group level.ztp-deploy-wave: "100"is suitable for development or testing because it allows you to group the referenced source files together. - 2
- In
ImageRegistryPV.yaml, ensure that thespec.local.pathfield is set to/var/imageregistryto match the value set for themount_pointfield in theSiteConfigCR.
ImportantDo not set
complianceType: mustonlyhavefor the- fileName: ImageRegistryConfig.yamlconfiguration. This can cause the registry pod deployment to fail.-
Commit the
PolicyGenTemplatechange in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
Verification
Use the following steps to troubleshoot errors with the local image registry on the managed clusters:
Verify successful login to the registry while logged in to the managed cluster. Run the following commands:
Export the managed cluster name:
$ cluster=<managed_cluster_name>Get the managed cluster
kubeconfigdetails:$ oc get secret -n $cluster $cluster-admin-password -o jsonpath='{.data.password}' | base64 -d > kubeadmin-password-$clusterDownload and export the cluster
kubeconfig:$ oc get secret -n $cluster $cluster-admin-kubeconfig -o jsonpath='{.data.kubeconfig}' | base64 -d > kubeconfig-$cluster && export KUBECONFIG=./kubeconfig-$cluster- Verify access to the image registry from the managed cluster. See "Accessing the registry".
Check that the
ConfigCRD in theimageregistry.operator.openshift.iogroup instance is not reporting errors. Run the following command while logged in to the managed cluster:$ oc get image.config.openshift.io cluster -o yamlExample output
apiVersion: config.openshift.io/v1 kind: Image metadata: annotations: include.release.openshift.io/ibm-cloud-managed: "true" include.release.openshift.io/self-managed-high-availability: "true" include.release.openshift.io/single-node-developer: "true" release.openshift.io/create-only: "true" creationTimestamp: "2021-10-08T19:02:39Z" generation: 5 name: cluster resourceVersion: "688678648" uid: 0406521b-39c0-4cda-ba75-873697da75a4 spec: additionalTrustedCA: name: acm-iceCheck that the
PersistentVolumeClaimon the managed cluster is populated with data. Run the following command while logged in to the managed cluster:$ oc get pv image-registry-scCheck that the
registry*pod is running and is located under theopenshift-image-registrynamespace.$ oc get pods -n openshift-image-registry | grep registry*Example output
cluster-image-registry-operator-68f5c9c589-42cfg 1/1 Running 0 8d image-registry-5f8987879-6nx6h 1/1 Running 0 8dCheck that the disk partition on the managed cluster is correct:
Open a debug shell to the managed cluster:
$ oc debug node/sno-1.example.comRun
lsblkto check the host disk partitions:sh-4.4# lsblk NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT sda 8:0 0 446.6G 0 disk |-sda1 8:1 0 1M 0 part |-sda2 8:2 0 127M 0 part |-sda3 8:3 0 384M 0 part /boot |-sda4 8:4 0 336.3G 0 part /sysroot `-sda5 8:5 0 100.1G 0 part /var/imageregistry1 sdb 8:16 0 446.6G 0 disk sr0 11:0 1 104M 0 rom- 1
/var/imageregistryindicates that the disk is correctly partitioned.
10.11. Using hub templates in PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Topology Aware Lifecycle Manager supports partial Red Hat Advanced Cluster Management (RHACM) hub cluster template functions in configuration policies used with GitOps Zero Touch Provisioning (ZTP).
Hub-side cluster templates allow you to define configuration policies that can be dynamically customized to the target clusters. This reduces the need to create separate policies for many clusters with similiar configurations but with different values.
Policy templates are restricted to the same namespace as the namespace where the policy is defined. This means that you must create the objects referenced in the hub template in the same namespace where the policy is created.
The following supported hub template functions are available for use in GitOps ZTP with TALM:
fromConfigmapreturns the value of the provided data key in the namedConfigMapresource.NoteThere is a 1 MiB size limit for
ConfigMapCRs. The effective size forConfigMapCRs is further limited by thelast-applied-configurationannotation. To avoid thelast-applied-configurationlimitation, add the following annotation to the templateConfigMap:argocd.argoproj.io/sync-options: Replace=true-
base64encreturns the base64-encoded value of the input string -
base64decreturns the decoded value of the base64-encoded input string -
indentreturns the input string with added indent spaces -
autoindentreturns the input string with added indent spaces based on the spacing used in the parent template -
toIntcasts and returns the integer value of the input value -
toBoolconverts the input string into a boolean value, and returns the boolean
Various Open source community functions are also available for use with GitOps ZTP.
10.11.1. Example hub templates Copiar enlaceEnlace copiado en el portapapeles!
The following code examples are valid hub templates. Each of these templates return values from the ConfigMap CR with the name test-config in the default namespace.
Returns the value with the key
common-key:{{hub fromConfigMap "default" "test-config" "common-key" hub}}Returns a string by using the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub fromConfigMap "default" "test-config" (printf "%s-name" .ManagedClusterName) hub}}Casts and returns a boolean value from the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub fromConfigMap "default" "test-config" (printf "%s-name" .ManagedClusterName) | toBool hub}}Casts and returns an integer value from the concatenated value of the
.ManagedClusterNamefield and the string-name:{{hub (printf "%s-name" .ManagedClusterName) | fromConfigMap "default" "test-config" | toInt hub}}
10.11.2. Specifying group and site configuration in group PolicyGenTemplate CRs with hub templates Copiar enlaceEnlace copiado en el portapapeles!
You can manage the configuration of fleets of clusters with ConfigMap CRs by using hub templates to populate the group and site values in the generated policies that get applied to the managed clusters. Using hub templates in site PolicyGenTemplate (PGT) CRs means that you do not need to create a PolicyGenTemplate CR for each site.
You can group the clusters in a fleet in various categories, depending on the use case, for example hardware type or region. Each cluster should have a label corresponding to the group or groups that the cluster is in. If you manage the configuration values for each group in different ConfigMap CRs, then you require only one group PolicyGenTemplate CR to apply the changes to all the clusters in the group by using hub templates.
The following example shows you how to use three ConfigMap CRs and one group PolicyGenTemplate CR to apply both site and group configuration to clusters grouped by hardware type and region.
When you use the fromConfigmap function, the printf variable is only available for the template resource data key fields. You cannot use it with name and namespace fields.
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. - You have created a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for the GitOps ZTP ArgoCD application.
Procedure
Create three
ConfigMapCRs that contain the group and site configuration:Create a
ConfigMapCR namedgroup-hardware-types-configmapto hold the hardware-specific configuration. For example:apiVersion: v1 kind: ConfigMap metadata: name: group-hardware-types-configmap namespace: ztp-group annotations: argocd.argoproj.io/sync-options: Replace=true1 data: # SriovNetworkNodePolicy.yaml hardware-type-1-sriov-node-policy-pfNames-1: "[\"ens5f0\"]" hardware-type-1-sriov-node-policy-pfNames-2: "[\"ens7f0\"]" # PerformanceProfile.yaml hardware-type-1-cpu-isolated: "2-31,34-63" hardware-type-1-cpu-reserved: "0-1,32-33" hardware-type-1-hugepages-default: "1G" hardware-type-1-hugepages-size: "1G" hardware-type-1-hugepages-count: "32"- 1
- The
argocd.argoproj.io/sync-optionsannotation is required only if theConfigMapis larger than 1 MiB in size.
Create a
ConfigMapCR namedgroup-zones-configmapto hold the regional configuration. For example:apiVersion: v1 kind: ConfigMap metadata: name: group-zones-configmap namespace: ztp-group data: # ClusterLogForwarder.yaml zone-1-cluster-log-fwd-outputs: "[{\"type\":\"kafka\", \"name\":\"kafka-open\", \"url\":\"tcp://10.46.55.190:9092/test\"}]" zone-1-cluster-log-fwd-pipelines: "[{\"inputRefs\":[\"audit\", \"infrastructure\"], \"labels\": {\"label1\": \"test1\", \"label2\": \"test2\", \"label3\": \"test3\", \"label4\": \"test4\"}, \"name\": \"all-to-default\", \"outputRefs\": [\"kafka-open\"]}]"Create a
ConfigMapCR namedsite-data-configmapto hold the site-specific configuration. For example:apiVersion: v1 kind: ConfigMap metadata: name: site-data-configmap namespace: ztp-group data: # SriovNetwork.yaml du-sno-1-zone-1-sriov-network-vlan-1: "140" du-sno-1-zone-1-sriov-network-vlan-2: "150"
NoteEach
ConfigMapCR must be in the same namespace as the policy to be generated from the groupPolicyGenTemplateCR.-
Commit the
ConfigMapCRs in Git, and then push to the Git repository being monitored by the Argo CD application. Apply the hardware type and region labels to the clusters. The following command applies to a single cluster named
du-sno-1-zone-1and the labels chosen are"hardware-type": "hardware-type-1"and"group-du-sno-zone": "zone-1":$ oc patch managedclusters.cluster.open-cluster-management.io/du-sno-1-zone-1 --type merge -p '{"metadata":{"labels":{"hardware-type": "hardware-type-1", "group-du-sno-zone": "zone-1"}}}'Create a group
PolicyGenTemplateCR that uses hub templates to obtain the required data from theConfigMapobjects. This examplePolicyGenTemplateCR configures logging, VLAN IDs, NICs and Performance Profile for the clusters that match the labels listed underspec.bindingRules:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: group-du-sno-pgt namespace: ztp-group spec: bindingRules: # These policies will correspond to all clusters with these labels group-du-sno-zone: "zone-1" hardware-type: "hardware-type-1" mcp: "master" sourceFiles: - fileName: ClusterLogForwarder.yaml # wave 10 policyName: "group-du-sno-cfg-policy" spec: outputs: '{{hub fromConfigMap "" "group-zones-configmap" (printf "%s-cluster-log-fwd-outputs" (index .ManagedClusterLabels "group-du-sno-zone")) | toLiteral hub}}' pipelines: '{{hub fromConfigMap "" "group-zones-configmap" (printf "%s-cluster-log-fwd-pipelines" (index .ManagedClusterLabels "group-du-sno-zone")) | toLiteral hub}}' - fileName: PerformanceProfile.yaml # wave 10 policyName: "group-du-sno-cfg-policy" metadata: name: openshift-node-performance-profile spec: additionalKernelArgs: - rcupdate.rcu_normal_after_boot=0 - vfio_pci.enable_sriov=1 - vfio_pci.disable_idle_d3=1 - efi=runtime cpu: isolated: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-cpu-isolated" (index .ManagedClusterLabels "hardware-type")) hub}}' reserved: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-cpu-reserved" (index .ManagedClusterLabels "hardware-type")) hub}}' hugepages: defaultHugepagesSize: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-hugepages-default" (index .ManagedClusterLabels "hardware-type")) hub}}' pages: - size: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-hugepages-size" (index .ManagedClusterLabels "hardware-type")) hub}}' count: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-hugepages-count" (index .ManagedClusterLabels "hardware-type")) | toInt hub}}' realTimeKernel: enabled: true - fileName: SriovNetwork.yaml # wave 100 policyName: "group-du-sno-sriov-policy" metadata: name: sriov-nw-du-fh spec: resourceName: du_fh vlan: '{{hub fromConfigMap "" "site-data-configmap" (printf "%s-sriov-network-vlan-1" .ManagedClusterName) | toInt hub}}' - fileName: SriovNetworkNodePolicy.yaml # wave 100 policyName: "group-du-sno-sriov-policy" metadata: name: sriov-nnp-du-fh spec: deviceType: netdevice isRdma: false nicSelector: pfNames: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-sriov-node-policy-pfNames-1" (index .ManagedClusterLabels "hardware-type")) | toLiteral hub}}' numVfs: 8 priority: 10 resourceName: du_fh - fileName: SriovNetwork.yaml # wave 100 policyName: "group-du-sno-sriov-policy" metadata: name: sriov-nw-du-mh spec: resourceName: du_mh vlan: '{{hub fromConfigMap "" "site-data-configmap" (printf "%s-sriov-network-vlan-2" .ManagedClusterName) | toInt hub}}' - fileName: SriovNetworkNodePolicy.yaml # wave 100 policyName: "group-du-sno-sriov-policy" metadata: name: sriov-nw-du-fh spec: deviceType: netdevice isRdma: false nicSelector: pfNames: '{{hub fromConfigMap "" "group-hardware-types-configmap" (printf "%s-sriov-node-policy-pfNames-2" (index .ManagedClusterLabels "hardware-type")) | toLiteral hub}}' numVfs: 8 priority: 10 resourceName: du_fhNoteTo retrieve site-specific configuration values, use the
.ManagedClusterNamefield. This is a template context value set to the name of the target managed cluster.To retrieve group-specific configuration, use the
.ManagedClusterLabelsfield. This is a template context value set to the value of the managed cluster’s labels.Commit the site
PolicyGenTemplateCR in Git and push to the Git repository that is monitored by the ArgoCD application.NoteSubsequent changes to the referenced
ConfigMapCR are not automatically synced to the applied policies. You need to manually sync the newConfigMapchanges to update existingPolicyGenTemplateCRs. See "Syncing new ConfigMap changes to existing PolicyGenTemplate CRs".You can use the same
PolicyGenTemplateCR for multiple clusters. If there is a configuration change, then the only modifications you need to make are to theConfigMapobjects that hold the configuration for each cluster and the labels of the managed clusters.
10.11.3. Syncing new ConfigMap changes to existing PolicyGenTemplate CRs Copiar enlaceEnlace copiado en el portapapeles!
Prerequisites
-
You have installed the OpenShift CLI (
oc). -
You have logged in to the hub cluster as a user with
cluster-adminprivileges. -
You have created a
PolicyGenTemplateCR that pulls information from aConfigMapCR using hub cluster templates.
Procedure
-
Update the contents of your
ConfigMapCR, and apply the changes in the hub cluster. To sync the contents of the updated
ConfigMapCR to the deployed policy, do either of the following:Option 1: Delete the existing policy. ArgoCD uses the
PolicyGenTemplateCR to immediately recreate the deleted policy. For example, run the following command:$ oc delete policy <policy_name> -n <policy_namespace>Option 2: Apply a special annotation
policy.open-cluster-management.io/trigger-updateto the policy with a different value every time when you update theConfigMap. For example:$ oc annotate policy <policy_name> -n <policy_namespace> policy.open-cluster-management.io/trigger-update="1"NoteYou must apply the updated policy for the changes to take effect. For more information, see Special annotation for reprocessing.
Optional: If it exists, delete the
ClusterGroupUpdateCR that contains the policy. For example:$ oc delete clustergroupupgrade <cgu_name> -n <cgu_namespace>Create a new
ClusterGroupUpdateCR that includes the policy to apply with the updatedConfigMapchanges. For example, add the following YAML to the filecgr-example.yaml:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: <cgr_name> namespace: <policy_namespace> spec: managedPolicies: - <managed_policy> enable: true clusters: - <managed_cluster_1> - <managed_cluster_2> remediationStrategy: maxConcurrency: 2 timeout: 240Apply the updated policy:
$ oc apply -f cgr-example.yaml
Chapter 11. Updating managed clusters with the Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
You can use the Topology Aware Lifecycle Manager (TALM) to manage the software lifecycle of multiple clusters. TALM uses Red Hat Advanced Cluster Management (RHACM) policies to perform changes on the target clusters.
11.1. About the Topology Aware Lifecycle Manager configuration Copiar enlaceEnlace copiado en el portapapeles!
The Topology Aware Lifecycle Manager (TALM) manages the deployment of Red Hat Advanced Cluster Management (RHACM) policies for one or more OpenShift Container Platform clusters. Using TALM in a large network of clusters allows the phased rollout of policies to the clusters in limited batches. This helps to minimize possible service disruptions when updating. With TALM, you can control the following actions:
- The timing of the update
- The number of RHACM-managed clusters
- The subset of managed clusters to apply the policies to
- The update order of the clusters
- The set of policies remediated to the cluster
- The order of policies remediated to the cluster
- The assignment of a canary cluster
For single-node OpenShift, the Topology Aware Lifecycle Manager (TALM) offers the following features:
- Create a backup of a deployment before an upgrade
- Pre-caching images for clusters with limited bandwidth
TALM supports the orchestration of the OpenShift Container Platform y-stream and z-stream updates, and day-two operations on y-streams and z-streams.
11.2. About managed policies used with Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
The Topology Aware Lifecycle Manager (TALM) uses RHACM policies for cluster updates.
TALM can be used to manage the rollout of any policy CR where the remediationAction field is set to inform. Supported use cases include the following:
- Manual user creation of policy CRs
-
Automatically generated policies from the
PolicyGenTemplatecustom resource definition (CRD)
For policies that update an Operator subscription with manual approval, TALM provides additional functionality that approves the installation of the updated Operator.
For more information about managed policies, see Policy Overview in the RHACM documentation.
For more information about the PolicyGenTemplate CRD, see the "About the PolicyGenTemplate CRD" section in "Configuring managed clusters with policies and PolicyGenTemplate resources".
11.3. Installing the Topology Aware Lifecycle Manager by using the web console Copiar enlaceEnlace copiado en el portapapeles!
You can use the OpenShift Container Platform web console to install the Topology Aware Lifecycle Manager.
Prerequisites
- Install the latest version of the RHACM Operator.
- Set up a hub cluster with disconnected regitry.
-
Log in as a user with
cluster-adminprivileges.
Procedure
- In the OpenShift Container Platform web console, navigate to Operators → OperatorHub.
- Search for the Topology Aware Lifecycle Manager from the list of available Operators, and then click Install.
- Keep the default selection of Installation mode ["All namespaces on the cluster (default)"] and Installed Namespace ("openshift-operators") to ensure that the Operator is installed properly.
- Click Install.
Verification
To confirm that the installation is successful:
- Navigate to the Operators → Installed Operators page.
-
Check that the Operator is installed in the
All Namespacesnamespace and its status isSucceeded.
If the Operator is not installed successfully:
-
Navigate to the Operators → Installed Operators page and inspect the
Statuscolumn for any errors or failures. -
Navigate to the Workloads → Pods page and check the logs in any containers in the
cluster-group-upgrades-controller-managerpod that are reporting issues.
11.4. Installing the Topology Aware Lifecycle Manager by using the CLI Copiar enlaceEnlace copiado en el portapapeles!
You can use the OpenShift CLI (oc) to install the Topology Aware Lifecycle Manager (TALM).
Prerequisites
-
Install the OpenShift CLI (
oc). - Install the latest version of the RHACM Operator.
- Set up a hub cluster with disconnected registry.
-
Log in as a user with
cluster-adminprivileges.
Procedure
Create a
SubscriptionCR:Define the
SubscriptionCR and save the YAML file, for example,talm-subscription.yaml:apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-topology-aware-lifecycle-manager-subscription namespace: openshift-operators spec: channel: "stable" name: topology-aware-lifecycle-manager source: redhat-operators sourceNamespace: openshift-marketplaceCreate the
SubscriptionCR by running the following command:$ oc create -f talm-subscription.yaml
Verification
Verify that the installation succeeded by inspecting the CSV resource:
$ oc get csv -n openshift-operatorsExample output
NAME DISPLAY VERSION REPLACES PHASE topology-aware-lifecycle-manager.4.15.x Topology Aware Lifecycle Manager 4.15.x SucceededVerify that the TALM is up and running:
$ oc get deploy -n openshift-operatorsExample output
NAMESPACE NAME READY UP-TO-DATE AVAILABLE AGE openshift-operators cluster-group-upgrades-controller-manager 1/1 1 1 14s
11.5. About the ClusterGroupUpgrade CR Copiar enlaceEnlace copiado en el portapapeles!
The Topology Aware Lifecycle Manager (TALM) builds the remediation plan from the ClusterGroupUpgrade CR for a group of clusters. You can define the following specifications in a ClusterGroupUpgrade CR:
- Clusters in the group
-
Blocking
ClusterGroupUpgradeCRs - Applicable list of managed policies
- Number of concurrent updates
- Applicable canary updates
- Actions to perform before and after the update
- Update timing
You can control the start time of an update using the enable field in the ClusterGroupUpgrade CR. For example, if you have a scheduled maintenance window of four hours, you can prepare a ClusterGroupUpgrade CR with the enable field set to false.
You can set the timeout by configuring the spec.remediationStrategy.timeout setting as follows:
spec
remediationStrategy:
maxConcurrency: 1
timeout: 240
You can use the batchTimeoutAction to determine what happens if an update fails for a cluster. You can specify continue to skip the failing cluster and continue to upgrade other clusters, or abort to stop policy remediation for all clusters. Once the timeout elapses, TALM removes all enforce policies to ensure that no further updates are made to clusters.
To apply the changes, you set the enabled field to true.
For more information see the "Applying update policies to managed clusters" section.
As TALM works through remediation of the policies to the specified clusters, the ClusterGroupUpgrade CR can report true or false statuses for a number of conditions.
After TALM completes a cluster update, the cluster does not update again under the control of the same ClusterGroupUpgrade CR. You must create a new ClusterGroupUpgrade CR in the following cases:
- When you need to update the cluster again
-
When the cluster changes to non-compliant with the
informpolicy after being updated
11.5.1. Selecting clusters Copiar enlaceEnlace copiado en el portapapeles!
TALM builds a remediation plan and selects clusters based on the following fields:
-
The
clusterLabelSelectorfield specifies the labels of the clusters that you want to update. This consists of a list of the standard label selectors fromk8s.io/apimachinery/pkg/apis/meta/v1. Each selector in the list uses either label value pairs or label expressions. Matches from each selector are added to the final list of clusters along with the matches from theclusterSelectorfield and theclusterfield. -
The
clustersfield specifies a list of clusters to update. -
The
canariesfield specifies the clusters for canary updates. -
The
maxConcurrencyfield specifies the number of clusters to update in a batch. -
The
actionsfield specifiesbeforeEnableactions that TALM takes as it begins the update process, andafterCompletionactions that TALM takes as it completes policy remediation for each cluster.
You can use the clusters, clusterLabelSelector, and clusterSelector fields together to create a combined list of clusters.
The remediation plan starts with the clusters listed in the canaries field. Each canary cluster forms a single-cluster batch.
Sample ClusterGroupUpgrade CR with the enabled field set to false
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
creationTimestamp: '2022-11-18T16:27:15Z'
finalizers:
- ran.openshift.io/cleanup-finalizer
generation: 1
name: talm-cgu
namespace: talm-namespace
resourceVersion: '40451823'
uid: cca245a5-4bca-45fa-89c0-aa6af81a596c
Spec:
actions:
afterCompletion:
addClusterLabels:
upgrade-done: ""
deleteClusterLabels:
upgrade-running: ""
deleteObjects: true
beforeEnable:
addClusterLabels:
upgrade-running: ""
backup: false
clusters:
- spoke1
enable: false
managedPolicies:
- talm-policy
preCaching: false
remediationStrategy:
canaries:
- spoke1
maxConcurrency: 2
timeout: 240
clusterLabelSelectors:
- matchExpressions:
- key: label1
operator: In
values:
- value1a
- value1b
batchTimeoutAction:
status:
computedMaxConcurrency: 2
conditions:
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: All selected clusters are valid
reason: ClusterSelectionCompleted
status: 'True'
type: ClustersSelected
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: Completed validation
reason: ValidationCompleted
status: 'True'
type: Validated
- lastTransitionTime: '2022-11-18T16:37:16Z'
message: Not enabled
reason: NotEnabled
status: 'False'
type: Progressing
managedPoliciesForUpgrade:
- name: talm-policy
namespace: talm-namespace
managedPoliciesNs:
talm-policy: talm-namespace
remediationPlan:
- - spoke1
- - spoke2
- spoke3
status:
- 1
- Specifies the action that TALM takes when it completes policy remediation for each cluster.
- 2
- Specifies the action that TALM takes as it begins the update process.
- 3
- Defines the list of clusters to update.
- 4
- The
enablefield is set tofalse. - 5
- Lists the user-defined set of policies to remediate.
- 6
- Defines the specifics of the cluster updates.
- 7
- Defines the clusters for canary updates.
- 8
- Defines the maximum number of concurrent updates in a batch. The number of remediation batches is the number of canary clusters, plus the number of clusters, except the canary clusters, divided by the
maxConcurrencyvalue. The clusters that are already compliant with all the managed policies are excluded from the remediation plan. - 9
- Displays the parameters for selecting clusters.
- 10
- Controls what happens if a batch times out. Possible values are
abortorcontinue. If unspecified, the default iscontinue. - 11
- Displays information about the status of the updates.
- 12
- The
ClustersSelectedcondition shows that all selected clusters are valid. - 13
- The
Validatedcondition shows that all selected clusters have been validated.
Any failures during the update of a canary cluster stops the update process.
When the remediation plan is successfully created, you can you set the enable field to true and TALM starts to update the non-compliant clusters with the specified managed policies.
You can only make changes to the spec fields if the enable field of the ClusterGroupUpgrade CR is set to false.
11.5.2. Validating Copiar enlaceEnlace copiado en el portapapeles!
TALM checks that all specified managed policies are available and correct, and uses the Validated condition to report the status and reasons as follows:
trueValidation is completed.
falsePolicies are missing or invalid, or an invalid platform image has been specified.
11.5.3. Pre-caching Copiar enlaceEnlace copiado en el portapapeles!
Clusters might have limited bandwidth to access the container image registry, which can cause a timeout before the updates are completed. On single-node OpenShift clusters, you can use pre-caching to avoid this. The container image pre-caching starts when you create a ClusterGroupUpgrade CR with the preCaching field set to true. TALM compares the available disk space with the estimated OpenShift Container Platform image size to ensure that there is enough space. If a cluster has insufficient space, TALM cancels pre-caching for that cluster and does not remediate policies on it.
TALM uses the PrecacheSpecValid condition to report status information as follows:
trueThe pre-caching spec is valid and consistent.
falseThe pre-caching spec is incomplete.
TALM uses the PrecachingSucceeded condition to report status information as follows:
trueTALM has concluded the pre-caching process. If pre-caching fails for any cluster, the update fails for that cluster but proceeds for all other clusters. A message informs you if pre-caching has failed for any clusters.
falsePre-caching is still in progress for one or more clusters or has failed for all clusters.
For more information see the "Using the container image pre-cache feature" section.
11.5.4. Creating a backup Copiar enlaceEnlace copiado en el portapapeles!
For single-node OpenShift, TALM can create a backup of a deployment before an update. If the update fails, you can recover the previous version and restore a cluster to a working state without requiring a reprovision of applications. To use the backup feature you first create a ClusterGroupUpgrade CR with the backup field set to true. To ensure that the contents of the backup are up to date, the backup is not taken until you set the enable field in the ClusterGroupUpgrade CR to true.
TALM uses the BackupSucceeded condition to report the status and reasons as follows:
trueBackup is completed for all clusters or the backup run has completed but failed for one or more clusters. If backup fails for any cluster, the update fails for that cluster but proceeds for all other clusters.
falseBackup is still in progress for one or more clusters or has failed for all clusters.
For more information, see the "Creating a backup of cluster resources before upgrade" section.
11.5.5. Updating clusters Copiar enlaceEnlace copiado en el portapapeles!
TALM enforces the policies following the remediation plan. Enforcing the policies for subsequent batches starts immediately after all the clusters of the current batch are compliant with all the managed policies. If the batch times out, TALM moves on to the next batch. The timeout value of a batch is the spec.timeout field divided by the number of batches in the remediation plan.
TALM uses the Progressing condition to report the status and reasons as follows:
trueTALM is remediating non-compliant policies.
falseThe update is not in progress. Possible reasons for this are:
- All clusters are compliant with all the managed policies.
- The update has timed out as policy remediation took too long.
- Blocking CRs are missing from the system or have not yet completed.
-
The
ClusterGroupUpgradeCR is not enabled. - Backup is still in progress.
The managed policies apply in the order that they are listed in the managedPolicies field in the ClusterGroupUpgrade CR. One managed policy is applied to the specified clusters at a time. When a cluster complies with the current policy, the next managed policy is applied to it.
Sample ClusterGroupUpgrade CR in the Progressing state
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
creationTimestamp: '2022-11-18T16:27:15Z'
finalizers:
- ran.openshift.io/cleanup-finalizer
generation: 1
name: talm-cgu
namespace: talm-namespace
resourceVersion: '40451823'
uid: cca245a5-4bca-45fa-89c0-aa6af81a596c
Spec:
actions:
afterCompletion:
deleteObjects: true
beforeEnable: {}
backup: false
clusters:
- spoke1
enable: true
managedPolicies:
- talm-policy
preCaching: true
remediationStrategy:
canaries:
- spoke1
maxConcurrency: 2
timeout: 240
clusterLabelSelectors:
- matchExpressions:
- key: label1
operator: In
values:
- value1a
- value1b
batchTimeoutAction:
status:
clusters:
- name: spoke1
state: complete
computedMaxConcurrency: 2
conditions:
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: All selected clusters are valid
reason: ClusterSelectionCompleted
status: 'True'
type: ClustersSelected
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: Completed validation
reason: ValidationCompleted
status: 'True'
type: Validated
- lastTransitionTime: '2022-11-18T16:37:16Z'
message: Remediating non-compliant policies
reason: InProgress
status: 'True'
type: Progressing
managedPoliciesForUpgrade:
- name: talm-policy
namespace: talm-namespace
managedPoliciesNs:
talm-policy: talm-namespace
remediationPlan:
- - spoke1
- - spoke2
- spoke3
status:
currentBatch: 2
currentBatchRemediationProgress:
spoke2:
state: Completed
spoke3:
policyIndex: 0
state: InProgress
currentBatchStartedAt: '2022-11-18T16:27:16Z'
startedAt: '2022-11-18T16:27:15Z'
- 1
- The
Progressingfields show that TALM is in the process of remediating policies.
11.5.6. Update status Copiar enlaceEnlace copiado en el portapapeles!
TALM uses the Succeeded condition to report the status and reasons as follows:
trueAll clusters are compliant with the specified managed policies.
falsePolicy remediation failed as there were no clusters available for remediation, or because policy remediation took too long for one of the following reasons:
- The current batch contains canary updates and the cluster in the batch does not comply with all the managed policies within the batch timeout.
-
Clusters did not comply with the managed policies within the
timeoutvalue specified in theremediationStrategyfield.
Sample ClusterGroupUpgrade CR in the Succeeded state
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
name: cgu-upgrade-complete
namespace: default
spec:
clusters:
- spoke1
- spoke4
enable: true
managedPolicies:
- policy1-common-cluster-version-policy
- policy2-common-pao-sub-policy
remediationStrategy:
maxConcurrency: 1
timeout: 240
status:
clusters:
- name: spoke1
state: complete
- name: spoke4
state: complete
conditions:
- message: All selected clusters are valid
reason: ClusterSelectionCompleted
status: "True"
type: ClustersSelected
- message: Completed validation
reason: ValidationCompleted
status: "True"
type: Validated
- message: All clusters are compliant with all the managed policies
reason: Completed
status: "False"
type: Progressing
- message: All clusters are compliant with all the managed policies
reason: Completed
status: "True"
type: Succeeded
managedPoliciesForUpgrade:
- name: policy1-common-cluster-version-policy
namespace: default
- name: policy2-common-pao-sub-policy
namespace: default
remediationPlan:
- - spoke1
- - spoke4
status:
completedAt: '2022-11-18T16:27:16Z'
startedAt: '2022-11-18T16:27:15Z'
- 2
- In the
Progressingfields, the status isfalseas the update has completed; clusters are compliant with all the managed policies. - 3
- The
Succeededfields show that the validations completed successfully. - 1
- The
statusfield includes a list of clusters and their respective statuses. The status of a cluster can becompleteortimedout.
Sample ClusterGroupUpgrade CR in the timedout state
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
creationTimestamp: '2022-11-18T16:27:15Z'
finalizers:
- ran.openshift.io/cleanup-finalizer
generation: 1
name: talm-cgu
namespace: talm-namespace
resourceVersion: '40451823'
uid: cca245a5-4bca-45fa-89c0-aa6af81a596c
spec:
actions:
afterCompletion:
deleteObjects: true
beforeEnable: {}
backup: false
clusters:
- spoke1
- spoke2
enable: true
managedPolicies:
- talm-policy
preCaching: false
remediationStrategy:
maxConcurrency: 2
timeout: 240
status:
clusters:
- name: spoke1
state: complete
- currentPolicy:
name: talm-policy
status: NonCompliant
name: spoke2
state: timedout
computedMaxConcurrency: 2
conditions:
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: All selected clusters are valid
reason: ClusterSelectionCompleted
status: 'True'
type: ClustersSelected
- lastTransitionTime: '2022-11-18T16:27:15Z'
message: Completed validation
reason: ValidationCompleted
status: 'True'
type: Validated
- lastTransitionTime: '2022-11-18T16:37:16Z'
message: Policy remediation took too long
reason: TimedOut
status: 'False'
type: Progressing
- lastTransitionTime: '2022-11-18T16:37:16Z'
message: Policy remediation took too long
reason: TimedOut
status: 'False'
type: Succeeded
managedPoliciesForUpgrade:
- name: talm-policy
namespace: talm-namespace
managedPoliciesNs:
talm-policy: talm-namespace
remediationPlan:
- - spoke1
- spoke2
status:
startedAt: '2022-11-18T16:27:15Z'
completedAt: '2022-11-18T20:27:15Z'
11.5.7. Blocking ClusterGroupUpgrade CRs Copiar enlaceEnlace copiado en el portapapeles!
You can create multiple ClusterGroupUpgrade CRs and control their order of application.
For example, if you create ClusterGroupUpgrade CR C that blocks the start of ClusterGroupUpgrade CR A, then ClusterGroupUpgrade CR A cannot start until the status of ClusterGroupUpgrade CR C becomes UpgradeComplete.
One ClusterGroupUpgrade CR can have multiple blocking CRs. In this case, all the blocking CRs must complete before the upgrade for the current CR can start.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Provision one or more managed clusters.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Save the content of the
ClusterGroupUpgradeCRs in thecgu-a.yaml,cgu-b.yaml, andcgu-c.yamlfiles.apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-a namespace: default spec: blockingCRs:1 - name: cgu-c namespace: default clusters: - spoke1 - spoke2 - spoke3 enable: false managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy remediationStrategy: canaries: - spoke1 maxConcurrency: 2 timeout: 240 status: conditions: - message: The ClusterGroupUpgrade CR is not enabled reason: UpgradeNotStarted status: "False" type: Ready copiedPolicies: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy2-common-pao-sub-policy namespace: default - name: policy3-common-ptp-sub-policy namespace: default placementBindings: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy placementRules: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy remediationPlan: - - spoke1 - - spoke2- 1
- Defines the blocking CRs. The
cgu-aupdate cannot start untilcgu-cis complete.
apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-b namespace: default spec: blockingCRs:1 - name: cgu-a namespace: default clusters: - spoke4 - spoke5 enable: false managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy - policy4-common-sriov-sub-policy remediationStrategy: maxConcurrency: 1 timeout: 240 status: conditions: - message: The ClusterGroupUpgrade CR is not enabled reason: UpgradeNotStarted status: "False" type: Ready copiedPolicies: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy2-common-pao-sub-policy namespace: default - name: policy3-common-ptp-sub-policy namespace: default - name: policy4-common-sriov-sub-policy namespace: default placementBindings: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy placementRules: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy remediationPlan: - - spoke4 - - spoke5 status: {}- 1
- The
cgu-bupdate cannot start untilcgu-ais complete.
apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-c namespace: default spec:1 clusters: - spoke6 enable: false managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy - policy4-common-sriov-sub-policy remediationStrategy: maxConcurrency: 1 timeout: 240 status: conditions: - message: The ClusterGroupUpgrade CR is not enabled reason: UpgradeNotStarted status: "False" type: Ready copiedPolicies: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy managedPoliciesCompliantBeforeUpgrade: - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy4-common-sriov-sub-policy namespace: default placementBindings: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy placementRules: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy remediationPlan: - - spoke6 status: {}- 1
- The
cgu-cupdate does not have any blocking CRs. TALM starts thecgu-cupdate when theenablefield is set totrue.
Create the
ClusterGroupUpgradeCRs by running the following command for each relevant CR:$ oc apply -f <name>.yamlStart the update process by running the following command for each relevant CR:
$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/<name> \ --type merge -p '{"spec":{"enable":true}}'The following examples show
ClusterGroupUpgradeCRs where theenablefield is set totrue:Example for
cgu-awith blocking CRsapiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-a namespace: default spec: blockingCRs: - name: cgu-c namespace: default clusters: - spoke1 - spoke2 - spoke3 enable: true managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy remediationStrategy: canaries: - spoke1 maxConcurrency: 2 timeout: 240 status: conditions: - message: 'The ClusterGroupUpgrade CR is blocked by other CRs that have not yet completed: [cgu-c]'1 reason: UpgradeCannotStart status: "False" type: Ready copiedPolicies: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy2-common-pao-sub-policy namespace: default - name: policy3-common-ptp-sub-policy namespace: default placementBindings: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy placementRules: - cgu-a-policy1-common-cluster-version-policy - cgu-a-policy2-common-pao-sub-policy - cgu-a-policy3-common-ptp-sub-policy remediationPlan: - - spoke1 - - spoke2 status: {}- 1
- Shows the list of blocking CRs.
Example for
cgu-bwith blocking CRsapiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-b namespace: default spec: blockingCRs: - name: cgu-a namespace: default clusters: - spoke4 - spoke5 enable: true managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy - policy4-common-sriov-sub-policy remediationStrategy: maxConcurrency: 1 timeout: 240 status: conditions: - message: 'The ClusterGroupUpgrade CR is blocked by other CRs that have not yet completed: [cgu-a]'1 reason: UpgradeCannotStart status: "False" type: Ready copiedPolicies: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy2-common-pao-sub-policy namespace: default - name: policy3-common-ptp-sub-policy namespace: default - name: policy4-common-sriov-sub-policy namespace: default placementBindings: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy placementRules: - cgu-b-policy1-common-cluster-version-policy - cgu-b-policy2-common-pao-sub-policy - cgu-b-policy3-common-ptp-sub-policy - cgu-b-policy4-common-sriov-sub-policy remediationPlan: - - spoke4 - - spoke5 status: {}- 1
- Shows the list of blocking CRs.
Example for
cgu-cwith blocking CRsapiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-c namespace: default spec: clusters: - spoke6 enable: true managedPolicies: - policy1-common-cluster-version-policy - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy - policy4-common-sriov-sub-policy remediationStrategy: maxConcurrency: 1 timeout: 240 status: conditions: - message: The ClusterGroupUpgrade CR has upgrade policies that are still non compliant1 reason: UpgradeNotCompleted status: "False" type: Ready copiedPolicies: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy managedPoliciesCompliantBeforeUpgrade: - policy2-common-pao-sub-policy - policy3-common-ptp-sub-policy managedPoliciesForUpgrade: - name: policy1-common-cluster-version-policy namespace: default - name: policy4-common-sriov-sub-policy namespace: default placementBindings: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy placementRules: - cgu-c-policy1-common-cluster-version-policy - cgu-c-policy4-common-sriov-sub-policy remediationPlan: - - spoke6 status: currentBatch: 1 remediationPlanForBatch: spoke6: 0- 1
- The
cgu-cupdate does not have any blocking CRs.
11.6. Update policies on managed clusters Copiar enlaceEnlace copiado en el portapapeles!
The Topology Aware Lifecycle Manager (TALM) remediates a set of inform policies for the clusters specified in the ClusterGroupUpgrade CR. TALM remediates inform policies by making enforce copies of the managed RHACM policies. Each copied policy has its own corresponding RHACM placement rule and RHACM placement binding.
One by one, TALM adds each cluster from the current batch to the placement rule that corresponds with the applicable managed policy. If a cluster is already compliant with a policy, TALM skips applying that policy on the compliant cluster. TALM then moves on to applying the next policy to the non-compliant cluster. After TALM completes the updates in a batch, all clusters are removed from the placement rules associated with the copied policies. Then, the update of the next batch starts.
If a spoke cluster does not report any compliant state to RHACM, the managed policies on the hub cluster can be missing status information that TALM needs. TALM handles these cases in the following ways:
-
If a policy’s
status.compliantfield is missing, TALM ignores the policy and adds a log entry. Then, TALM continues looking at the policy’sstatus.statusfield. -
If a policy’s
status.statusis missing, TALM produces an error. -
If a cluster’s compliance status is missing in the policy’s
status.statusfield, TALM considers that cluster to be non-compliant with that policy.
The ClusterGroupUpgrade CR’s batchTimeoutAction determines what happens if an upgrade fails for a cluster. You can specify continue to skip the failing cluster and continue to upgrade other clusters, or specify abort to stop the policy remediation for all clusters. Once the timeout elapses, TALM removes all enforce policies to ensure that no further updates are made to clusters.
Example upgrade policy
apiVersion: policy.open-cluster-management.io/v1
kind: Policy
metadata:
name: ocp-4.4.15.4
namespace: platform-upgrade
spec:
disabled: false
policy-templates:
- objectDefinition:
apiVersion: policy.open-cluster-management.io/v1
kind: ConfigurationPolicy
metadata:
name: upgrade
spec:
namespaceselector:
exclude:
- kube-*
include:
- '*'
object-templates:
- complianceType: musthave
objectDefinition:
apiVersion: config.openshift.io/v1
kind: ClusterVersion
metadata:
name: version
spec:
channel: stable-4.15
desiredUpdate:
version: 4.4.15.4
upstream: https://api.openshift.com/api/upgrades_info/v1/graph
status:
history:
- state: Completed
version: 4.4.15.4
remediationAction: inform
severity: low
remediationAction: inform
For more information about RHACM policies, see Policy overview.
11.6.1. Configuring Operator subscriptions for managed clusters that you install with TALM Copiar enlaceEnlace copiado en el portapapeles!
Topology Aware Lifecycle Manager (TALM) can only approve the install plan for an Operator if the Subscription custom resource (CR) of the Operator contains the status.state.AtLatestKnown field.
Procedure
Add the
status.state.AtLatestKnownfield to theSubscriptionCR of the Operator:Example Subscription CR
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: cluster-logging namespace: openshift-logging annotations: ran.openshift.io/ztp-deploy-wave: "2" spec: channel: "stable" name: cluster-logging source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Manual status: state: AtLatestKnown1 - 1
- The
status.state: AtLatestKnownfield is used for the latest Operator version available from the Operator catalog.
NoteWhen a new version of the Operator is available in the registry, the associated policy becomes non-compliant.
-
Apply the changed
Subscriptionpolicy to your managed clusters with aClusterGroupUpgradeCR.
11.6.2. Applying update policies to managed clusters Copiar enlaceEnlace copiado en el portapapeles!
You can update your managed clusters by applying your policies.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Provision one or more managed clusters.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Save the contents of the
ClusterGroupUpgradeCR in thecgu-1.yamlfile.apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-1 namespace: default spec: managedPolicies:1 - policy1-common-cluster-version-policy - policy2-common-nto-sub-policy - policy3-common-ptp-sub-policy - policy4-common-sriov-sub-policy enable: false clusters:2 - spoke1 - spoke2 - spoke5 - spoke6 remediationStrategy: maxConcurrency: 23 timeout: 2404 batchTimeoutAction:5 - 1
- The name of the policies to apply.
- 2
- The list of clusters to update.
- 3
- The
maxConcurrencyfield signifies the number of clusters updated at the same time. - 4
- The update timeout in minutes.
- 5
- Controls what happens if a batch times out. Possible values are
abortorcontinue. If unspecified, the default iscontinue.
Create the
ClusterGroupUpgradeCR by running the following command:$ oc create -f cgu-1.yamlCheck if the
ClusterGroupUpgradeCR was created in the hub cluster by running the following command:$ oc get cgu --all-namespacesExample output
NAMESPACE NAME AGE STATE DETAILS default cgu-1 8m55 NotEnabled Not EnabledCheck the status of the update by running the following command:
$ oc get cgu -n default cgu-1 -ojsonpath='{.status}' | jqExample output
{ "computedMaxConcurrency": 2, "conditions": [ { "lastTransitionTime": "2022-02-25T15:34:07Z", "message": "Not enabled",1 "reason": "NotEnabled", "status": "False", "type": "Progressing" } ], "copiedPolicies": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "managedPoliciesContent": { "policy1-common-cluster-version-policy": "null", "policy2-common-nto-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"node-tuning-operator\",\"namespace\":\"openshift-cluster-node-tuning-operator\"}]", "policy3-common-ptp-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"ptp-operator-subscription\",\"namespace\":\"openshift-ptp\"}]", "policy4-common-sriov-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"sriov-network-operator-subscription\",\"namespace\":\"openshift-sriov-network-operator\"}]" }, "managedPoliciesForUpgrade": [ { "name": "policy1-common-cluster-version-policy", "namespace": "default" }, { "name": "policy2-common-nto-sub-policy", "namespace": "default" }, { "name": "policy3-common-ptp-sub-policy", "namespace": "default" }, { "name": "policy4-common-sriov-sub-policy", "namespace": "default" } ], "managedPoliciesNs": { "policy1-common-cluster-version-policy": "default", "policy2-common-nto-sub-policy": "default", "policy3-common-ptp-sub-policy": "default", "policy4-common-sriov-sub-policy": "default" }, "placementBindings": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "placementRules": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "precaching": { "spec": {} }, "remediationPlan": [ [ "spoke1", "spoke2" ], [ "spoke5", "spoke6" ] ], "status": {} }- 1
- The
spec.enablefield in theClusterGroupUpgradeCR is set tofalse.
Check the status of the policies by running the following command:
$ oc get policies -AExample output
NAMESPACE NAME REMEDIATION ACTION COMPLIANCE STATE AGE default cgu-policy1-common-cluster-version-policy enforce 17m1 default cgu-policy2-common-nto-sub-policy enforce 17m default cgu-policy3-common-ptp-sub-policy enforce 17m default cgu-policy4-common-sriov-sub-policy enforce 17m default policy1-common-cluster-version-policy inform NonCompliant 15h default policy2-common-nto-sub-policy inform NonCompliant 15h default policy3-common-ptp-sub-policy inform NonCompliant 18m default policy4-common-sriov-sub-policy inform NonCompliant 18m- 1
- The
spec.remediationActionfield of policies currently applied on the clusters is set toenforce. The managed policies ininformmode from theClusterGroupUpgradeCR remain ininformmode during the update.
Change the value of the
spec.enablefield totrueby running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-1 \ --patch '{"spec":{"enable":true}}' --type=merge
Verification
Check the status of the update again by running the following command:
$ oc get cgu -n default cgu-1 -ojsonpath='{.status}' | jqExample output
{ "computedMaxConcurrency": 2, "conditions": [1 { "lastTransitionTime": "2022-02-25T15:33:07Z", "message": "All selected clusters are valid", "reason": "ClusterSelectionCompleted", "status": "True", "type": "ClustersSelected", "lastTransitionTime": "2022-02-25T15:33:07Z", "message": "Completed validation", "reason": "ValidationCompleted", "status": "True", "type": "Validated", "lastTransitionTime": "2022-02-25T15:34:07Z", "message": "Remediating non-compliant policies", "reason": "InProgress", "status": "True", "type": "Progressing" } ], "copiedPolicies": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "managedPoliciesContent": { "policy1-common-cluster-version-policy": "null", "policy2-common-nto-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"node-tuning-operator\",\"namespace\":\"openshift-cluster-node-tuning-operator\"}]", "policy3-common-ptp-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"ptp-operator-subscription\",\"namespace\":\"openshift-ptp\"}]", "policy4-common-sriov-sub-policy": "[{\"kind\":\"Subscription\",\"name\":\"sriov-network-operator-subscription\",\"namespace\":\"openshift-sriov-network-operator\"}]" }, "managedPoliciesForUpgrade": [ { "name": "policy1-common-cluster-version-policy", "namespace": "default" }, { "name": "policy2-common-nto-sub-policy", "namespace": "default" }, { "name": "policy3-common-ptp-sub-policy", "namespace": "default" }, { "name": "policy4-common-sriov-sub-policy", "namespace": "default" } ], "managedPoliciesNs": { "policy1-common-cluster-version-policy": "default", "policy2-common-nto-sub-policy": "default", "policy3-common-ptp-sub-policy": "default", "policy4-common-sriov-sub-policy": "default" }, "placementBindings": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "placementRules": [ "cgu-policy1-common-cluster-version-policy", "cgu-policy2-common-nto-sub-policy", "cgu-policy3-common-ptp-sub-policy", "cgu-policy4-common-sriov-sub-policy" ], "precaching": { "spec": {} }, "remediationPlan": [ [ "spoke1", "spoke2" ], [ "spoke5", "spoke6" ] ], "status": { "currentBatch": 1, "currentBatchStartedAt": "2022-02-25T15:54:16Z", "remediationPlanForBatch": { "spoke1": 0, "spoke2": 1 }, "startedAt": "2022-02-25T15:54:16Z" } }- 1
- Reflects the update progress of the current batch. Run this command again to receive updated information about the progress.
If the policies include Operator subscriptions, you can check the installation progress directly on the single-node cluster.
Export the
KUBECONFIGfile of the single-node cluster you want to check the installation progress for by running the following command:$ export KUBECONFIG=<cluster_kubeconfig_absolute_path>Check all the subscriptions present on the single-node cluster and look for the one in the policy you are trying to install through the
ClusterGroupUpgradeCR by running the following command:$ oc get subs -A | grep -i <subscription_name>Example output for
cluster-loggingpolicyNAMESPACE NAME PACKAGE SOURCE CHANNEL openshift-logging cluster-logging cluster-logging redhat-operators stable
If one of the managed policies includes a
ClusterVersionCR, check the status of platform updates in the current batch by running the following command against the spoke cluster:$ oc get clusterversionExample output
NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version 4.4.15.5 True True 43s Working towards 4.4.15.7: 71 of 735 done (9% complete)Check the Operator subscription by running the following command:
$ oc get subs -n <operator-namespace> <operator-subscription> -ojsonpath="{.status}"Check the install plans present on the single-node cluster that is associated with the desired subscription by running the following command:
$ oc get installplan -n <subscription_namespace>Example output for
cluster-loggingOperatorNAMESPACE NAME CSV APPROVAL APPROVED openshift-logging install-6khtw cluster-logging.5.3.3-4 Manual true1 - 1
- The install plans have their
Approvalfield set toManualand theirApprovedfield changes fromfalsetotrueafter TALM approves the install plan.
NoteWhen TALM is remediating a policy containing a subscription, it automatically approves any install plans attached to that subscription. Where multiple install plans are needed to get the operator to the latest known version, TALM might approve multiple install plans, upgrading through one or more intermediate versions to get to the final version.
Check if the cluster service version for the Operator of the policy that the
ClusterGroupUpgradeis installing reached theSucceededphase by running the following command:$ oc get csv -n <operator_namespace>Example output for OpenShift Logging Operator
NAME DISPLAY VERSION REPLACES PHASE cluster-logging.5.4.2 Red Hat OpenShift Logging 5.4.2 Succeeded
11.7. Creating a backup of cluster resources before upgrade Copiar enlaceEnlace copiado en el portapapeles!
For single-node OpenShift, the Topology Aware Lifecycle Manager (TALM) can create a backup of a deployment before an upgrade. If the upgrade fails, you can recover the previous version and restore a cluster to a working state without requiring a reprovision of applications.
To use the backup feature you first create a ClusterGroupUpgrade CR with the backup field set to true. To ensure that the contents of the backup are up to date, the backup is not taken until you set the enable field in the ClusterGroupUpgrade CR to true.
TALM uses the BackupSucceeded condition to report the status and reasons as follows:
trueBackup is completed for all clusters or the backup run has completed but failed for one or more clusters. If backup fails for any cluster, the update does not proceed for that cluster.
falseBackup is still in progress for one or more clusters or has failed for all clusters. The backup process running in the spoke clusters can have the following statuses:
PreparingToStartThe first reconciliation pass is in progress. The TALM deletes any spoke backup namespace and hub view resources that have been created in a failed upgrade attempt.
StartingThe backup prerequisites and backup job are being created.
ActiveThe backup is in progress.
SucceededThe backup succeeded.
BackupTimeoutArtifact backup is partially done.
UnrecoverableErrorThe backup has ended with a non-zero exit code.
If the backup of a cluster fails and enters the BackupTimeout or UnrecoverableError state, the cluster update does not proceed for that cluster. Updates to other clusters are not affected and continue.
11.7.1. Creating a ClusterGroupUpgrade CR with backup Copiar enlaceEnlace copiado en el portapapeles!
You can create a backup of a deployment before an upgrade on single-node OpenShift clusters. If the upgrade fails you can use the upgrade-recovery.sh script generated by Topology Aware Lifecycle Manager (TALM) to return the system to its preupgrade state. The backup consists of the following items:
- Cluster backup
-
A snapshot of
etcdand static pod manifests. - Content backup
-
Backups of folders, for example,
/etc,/usr/local,/var/lib/kubelet. - Changed files backup
-
Any files managed by
machine-configthat have been changed. - Deployment
-
A pinned
ostreedeployment. - Images (Optional)
- Any container images that are in use.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Provision one or more managed clusters.
-
Log in as a user with
cluster-adminprivileges. - Install Red Hat Advanced Cluster Management (RHACM).
It is highly recommended that you create a recovery partition. The following is an example SiteConfig custom resource (CR) for a recovery partition of 50 GB:
nodes:
- hostName: "node-1.example.com"
role: "master"
rootDeviceHints:
hctl: "0:2:0:0"
deviceName: /dev/disk/by-id/scsi-3600508b400105e210000900000490000
...
#Disk /dev/disk/by-id/scsi-3600508b400105e210000900000490000:
#893.3 GiB, 959119884288 bytes, 1873281024 sectors
diskPartition:
- device: /dev/disk/by-id/scsi-3600508b400105e210000900000490000
partitions:
- mount_point: /var/recovery
size: 51200
start: 800000
Procedure
Save the contents of the
ClusterGroupUpgradeCR with thebackupandenablefields set totruein theclustergroupupgrades-group-du.yamlfile:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: du-upgrade-4918 namespace: ztp-group-du-sno spec: preCaching: true backup: true clusters: - cnfdb1 - cnfdb2 enable: true managedPolicies: - du-upgrade-platform-upgrade remediationStrategy: maxConcurrency: 2 timeout: 240To start the update, apply the
ClusterGroupUpgradeCR by running the following command:$ oc apply -f clustergroupupgrades-group-du.yaml
Verification
Check the status of the upgrade in the hub cluster by running the following command:
$ oc get cgu -n ztp-group-du-sno du-upgrade-4918 -o jsonpath='{.status}'Example output
{ "backup": { "clusters": [ "cnfdb2", "cnfdb1" ], "status": { "cnfdb1": "Succeeded", "cnfdb2": "Failed"1 } }, "computedMaxConcurrency": 1, "conditions": [ { "lastTransitionTime": "2022-04-05T10:37:19Z", "message": "Backup failed for 1 cluster",2 "reason": "PartiallyDone",3 "status": "True",4 "type": "Succeeded" } ], "precaching": { "spec": {} }, "status": {}
11.7.2. Recovering a cluster after a failed upgrade Copiar enlaceEnlace copiado en el portapapeles!
If an upgrade of a cluster fails, you can manually log in to the cluster and use the backup to return the cluster to its preupgrade state. There are two stages:
- Rollback
- If the attempted upgrade included a change to the platform OS deployment, you must roll back to the previous version before running the recovery script.
A rollback is only applicable to upgrades from TALM and single-node OpenShift. This process does not apply to rollbacks from any other upgrade type.
- Recovery
- The recovery shuts down containers and uses files from the backup partition to relaunch containers and restore clusters.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Provision one or more managed clusters.
- Install Red Hat Advanced Cluster Management (RHACM).
-
Log in as a user with
cluster-adminprivileges. - Run an upgrade that is configured for backup.
Procedure
Delete the previously created
ClusterGroupUpgradecustom resource (CR) by running the following command:$ oc delete cgu/du-upgrade-4918 -n ztp-group-du-sno- Log in to the cluster that you want to recover.
Check the status of the platform OS deployment by running the following command:
$ ostree admin statusExample outputs
[root@lab-test-spoke2-node-0 core]# ostree admin status * rhcos c038a8f08458bbed83a77ece033ad3c55597e3f64edad66ea12fda18cbdceaf9.0 Version: 49.84.202202230006-0 Pinned: yes1 origin refspec: c038a8f08458bbed83a77ece033ad3c55597e3f64edad66ea12fda18cbdceaf9- 1
- The current deployment is pinned. A platform OS deployment rollback is not necessary.
[root@lab-test-spoke2-node-0 core]# ostree admin status * rhcos f750ff26f2d5550930ccbe17af61af47daafc8018cd9944f2a3a6269af26b0fa.0 Version: 410.84.202204050541-0 origin refspec: f750ff26f2d5550930ccbe17af61af47daafc8018cd9944f2a3a6269af26b0fa rhcos ad8f159f9dc4ea7e773fd9604c9a16be0fe9b266ae800ac8470f63abc39b52ca.0 (rollback)1 Version: 410.84.202203290245-0 Pinned: yes2 origin refspec: ad8f159f9dc4ea7e773fd9604c9a16be0fe9b266ae800ac8470f63abc39b52caTo trigger a rollback of the platform OS deployment, run the following command:
$ rpm-ostree rollback -rThe first phase of the recovery shuts down containers and restores files from the backup partition to the targeted directories. To begin the recovery, run the following command:
$ /var/recovery/upgrade-recovery.shWhen prompted, reboot the cluster by running the following command:
$ systemctl rebootAfter the reboot, restart the recovery by running the following command:
$ /var/recovery/upgrade-recovery.sh --resume
If the recovery utility fails, you can retry with the --restart option:
$ /var/recovery/upgrade-recovery.sh --restart
Verification
To check the status of the recovery run the following command:
$ oc get clusterversion,nodes,clusteroperatorExample output
NAME VERSION AVAILABLE PROGRESSING SINCE STATUS clusterversion.config.openshift.io/version 4.4.15.23 True False 86d Cluster version is 4.4.15.231 NAME STATUS ROLES AGE VERSION node/lab-test-spoke1-node-0 Ready master,worker 86d v1.22.3+b93fd352 NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE MESSAGE clusteroperator.config.openshift.io/authentication 4.4.15.23 True False False 2d7h3 clusteroperator.config.openshift.io/baremetal 4.4.15.23 True False False 86d ..............
11.8. Using the container image pre-cache feature Copiar enlaceEnlace copiado en el portapapeles!
Single-node OpenShift clusters might have limited bandwidth to access the container image registry, which can cause a timeout before the updates are completed.
The time of the update is not set by TALM. You can apply the ClusterGroupUpgrade CR at the beginning of the update by manual application or by external automation.
The container image pre-caching starts when the preCaching field is set to true in the ClusterGroupUpgrade CR.
TALM uses the PrecacheSpecValid condition to report status information as follows:
trueThe pre-caching spec is valid and consistent.
falseThe pre-caching spec is incomplete.
TALM uses the PrecachingSucceeded condition to report status information as follows:
trueTALM has concluded the pre-caching process. If pre-caching fails for any cluster, the update fails for that cluster but proceeds for all other clusters. A message informs you if pre-caching has failed for any clusters.
falsePre-caching is still in progress for one or more clusters or has failed for all clusters.
After a successful pre-caching process, you can start remediating policies. The remediation actions start when the enable field is set to true. If there is a pre-caching failure on a cluster, the upgrade fails for that cluster. The upgrade process continues for all other clusters that have a successful pre-cache.
The pre-caching process can be in the following statuses:
NotStartedThis is the initial state all clusters are automatically assigned to on the first reconciliation pass of the
ClusterGroupUpgradeCR. In this state, TALM deletes any pre-caching namespace and hub view resources of spoke clusters that remain from previous incomplete updates. TALM then creates a newManagedClusterViewresource for the spoke pre-caching namespace to verify its deletion in thePrecachePreparingstate.PreparingToStartCleaning up any remaining resources from previous incomplete updates is in progress.
StartingPre-caching job prerequisites and the job are created.
ActiveThe job is in "Active" state.
SucceededThe pre-cache job succeeded.
PrecacheTimeoutThe artifact pre-caching is partially done.
UnrecoverableErrorThe job ends with a non-zero exit code.
11.8.1. Using the container image pre-cache filter Copiar enlaceEnlace copiado en el portapapeles!
The pre-cache feature typically downloads more images than a cluster needs for an update. You can control which pre-cache images are downloaded to a cluster. This decreases download time, and saves bandwidth and storage.
You can see a list of all images to be downloaded using the following command:
$ oc adm release info <ocp-version>
The following ConfigMap example shows how you can exclude images using the excludePrecachePatterns field.
apiVersion: v1
kind: ConfigMap
metadata:
name: cluster-group-upgrade-overrides
data:
excludePrecachePatterns: |
azure
aws
vsphere
alibaba
- 1
- TALM excludes all images with names that include any of the patterns listed here.
11.8.2. Creating a ClusterGroupUpgrade CR with pre-caching Copiar enlaceEnlace copiado en el portapapeles!
For single-node OpenShift, the pre-cache feature allows the required container images to be present on the spoke cluster before the update starts.
For pre-caching, TALM uses the spec.remediationStrategy.timeout value from the ClusterGroupUpgrade CR. You must set a timeout value that allows sufficient time for the pre-caching job to complete. When you enable the ClusterGroupUpgrade CR after pre-caching has completed, you can change the timeout value to a duration that is appropriate for the update.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Provision one or more managed clusters.
-
Log in as a user with
cluster-adminprivileges.
Procedure
Save the contents of the
ClusterGroupUpgradeCR with thepreCachingfield set totruein theclustergroupupgrades-group-du.yamlfile:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: du-upgrade-4918 namespace: ztp-group-du-sno spec: preCaching: true1 clusters: - cnfdb1 - cnfdb2 enable: false managedPolicies: - du-upgrade-platform-upgrade remediationStrategy: maxConcurrency: 2 timeout: 240- 1
- The
preCachingfield is set totrue, which enables TALM to pull the container images before starting the update.
When you want to start pre-caching, apply the
ClusterGroupUpgradeCR by running the following command:$ oc apply -f clustergroupupgrades-group-du.yaml
Verification
Check if the
ClusterGroupUpgradeCR exists in the hub cluster by running the following command:$ oc get cgu -AExample output
NAMESPACE NAME AGE STATE DETAILS ztp-group-du-sno du-upgrade-4918 10s InProgress Precaching is required and not done1 - 1
- The CR is created.
Check the status of the pre-caching task by running the following command:
$ oc get cgu -n ztp-group-du-sno du-upgrade-4918 -o jsonpath='{.status}'Example output
{ "conditions": [ { "lastTransitionTime": "2022-01-27T19:07:24Z", "message": "Precaching is required and not done", "reason": "InProgress", "status": "False", "type": "PrecachingSucceeded" }, { "lastTransitionTime": "2022-01-27T19:07:34Z", "message": "Pre-caching spec is valid and consistent", "reason": "PrecacheSpecIsWellFormed", "status": "True", "type": "PrecacheSpecValid" } ], "precaching": { "clusters": [ "cnfdb1"1 "cnfdb2" ], "spec": { "platformImage": "image.example.io"}, "status": { "cnfdb1": "Active" "cnfdb2": "Succeeded"} } }- 1
- Displays the list of identified clusters.
Check the status of the pre-caching job by running the following command on the spoke cluster:
$ oc get jobs,pods -n openshift-talo-pre-cacheExample output
NAME COMPLETIONS DURATION AGE job.batch/pre-cache 0/1 3m10s 3m10s NAME READY STATUS RESTARTS AGE pod/pre-cache--1-9bmlr 1/1 Running 0 3m10sCheck the status of the
ClusterGroupUpgradeCR by running the following command:$ oc get cgu -n ztp-group-du-sno du-upgrade-4918 -o jsonpath='{.status}'Example output
"conditions": [ { "lastTransitionTime": "2022-01-27T19:30:41Z", "message": "The ClusterGroupUpgrade CR has all clusters compliant with all the managed policies", "reason": "UpgradeCompleted", "status": "True", "type": "Ready" }, { "lastTransitionTime": "2022-01-27T19:28:57Z", "message": "Precaching is completed", "reason": "PrecachingCompleted", "status": "True", "type": "PrecachingSucceeded"1 }- 1
- The pre-cache tasks are done.
11.9. Troubleshooting the Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
The Topology Aware Lifecycle Manager (TALM) is an OpenShift Container Platform Operator that remediates RHACM policies. When issues occur, use the oc adm must-gather command to gather details and logs and to take steps in debugging the issues.
For more information about related topics, see the following documentation:
- Red Hat Advanced Cluster Management for Kubernetes 2.4 Support Matrix
- Red Hat Advanced Cluster Management Troubleshooting
- The "Troubleshooting Operator issues" section
11.9.1. General troubleshooting Copiar enlaceEnlace copiado en el portapapeles!
You can determine the cause of the problem by reviewing the following questions:
Is the configuration that you are applying supported?
- Are the RHACM and the OpenShift Container Platform versions compatible?
- Are the TALM and RHACM versions compatible?
Which of the following components is causing the problem?
To ensure that the ClusterGroupUpgrade configuration is functional, you can do the following:
-
Create the
ClusterGroupUpgradeCR with thespec.enablefield set tofalse. - Wait for the status to be updated and go through the troubleshooting questions.
-
If everything looks as expected, set the
spec.enablefield totruein theClusterGroupUpgradeCR.
After you set the spec.enable field to true in the ClusterUpgradeGroup CR, the update procedure starts and you cannot edit the CR’s spec fields anymore.
11.9.2. Cannot modify the ClusterUpgradeGroup CR Copiar enlaceEnlace copiado en el portapapeles!
- Issue
-
You cannot edit the
ClusterUpgradeGroupCR after enabling the update. - Resolution
Restart the procedure by performing the following steps:
Remove the old
ClusterGroupUpgradeCR by running the following command:$ oc delete cgu -n <ClusterGroupUpgradeCR_namespace> <ClusterGroupUpgradeCR_name>Check and fix the existing issues with the managed clusters and policies.
- Ensure that all the clusters are managed clusters and available.
-
Ensure that all the policies exist and have the
spec.remediationActionfield set toinform.
Create a new
ClusterGroupUpgradeCR with the correct configurations.$ oc apply -f <ClusterGroupUpgradeCR_YAML>
11.9.3. Managed policies Copiar enlaceEnlace copiado en el portapapeles!
Checking managed policies on the system
- Issue
- You want to check if you have the correct managed policies on the system.
- Resolution
Run the following command:
$ oc get cgu lab-upgrade -ojsonpath='{.spec.managedPolicies}'Example output
["group-du-sno-validator-du-validator-policy", "policy2-common-nto-sub-policy", "policy3-common-ptp-sub-policy"]
Checking remediationAction mode
- Issue
-
You want to check if the
remediationActionfield is set toinformin thespecof the managed policies. - Resolution
Run the following command:
$ oc get policies --all-namespacesExample output
NAMESPACE NAME REMEDIATION ACTION COMPLIANCE STATE AGE default policy1-common-cluster-version-policy inform NonCompliant 5d21h default policy2-common-nto-sub-policy inform Compliant 5d21h default policy3-common-ptp-sub-policy inform NonCompliant 5d21h default policy4-common-sriov-sub-policy inform NonCompliant 5d21h
Checking policy compliance state
- Issue
- You want to check the compliance state of policies.
- Resolution
Run the following command:
$ oc get policies --all-namespacesExample output
NAMESPACE NAME REMEDIATION ACTION COMPLIANCE STATE AGE default policy1-common-cluster-version-policy inform NonCompliant 5d21h default policy2-common-nto-sub-policy inform Compliant 5d21h default policy3-common-ptp-sub-policy inform NonCompliant 5d21h default policy4-common-sriov-sub-policy inform NonCompliant 5d21h
11.9.4. Clusters Copiar enlaceEnlace copiado en el portapapeles!
Checking if managed clusters are present
- Issue
-
You want to check if the clusters in the
ClusterGroupUpgradeCR are managed clusters. - Resolution
Run the following command:
$ oc get managedclustersExample output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE local-cluster true https://api.hub.example.com:6443 True Unknown 13d spoke1 true https://api.spoke1.example.com:6443 True True 13d spoke3 true https://api.spoke3.example.com:6443 True True 27hAlternatively, check the TALM manager logs:
Get the name of the TALM manager by running the following command:
$ oc get pod -n openshift-operatorsExample output
NAME READY STATUS RESTARTS AGE cluster-group-upgrades-controller-manager-75bcc7484d-8k8xp 2/2 Running 0 45mCheck the TALM manager logs by running the following command:
$ oc logs -n openshift-operators \ cluster-group-upgrades-controller-manager-75bcc7484d-8k8xp -c managerExample output
ERROR controller-runtime.manager.controller.clustergroupupgrade Reconciler error {"reconciler group": "ran.openshift.io", "reconciler kind": "ClusterGroupUpgrade", "name": "lab-upgrade", "namespace": "default", "error": "Cluster spoke5555 is not a ManagedCluster"}1 sigs.k8s.io/controller-runtime/pkg/internal/controller.(*Controller).processNextWorkItem- 1
- The error message shows that the cluster is not a managed cluster.
Checking if managed clusters are available
- Issue
-
You want to check if the managed clusters specified in the
ClusterGroupUpgradeCR are available. - Resolution
Run the following command:
$ oc get managedclustersExample output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE local-cluster true https://api.hub.testlab.com:6443 True Unknown 13d spoke1 true https://api.spoke1.testlab.com:6443 True True 13d1 spoke3 true https://api.spoke3.testlab.com:6443 True True 27h2
Checking clusterLabelSelector
- Issue
-
You want to check if the
clusterLabelSelectorfield specified in theClusterGroupUpgradeCR matches at least one of the managed clusters. - Resolution
Run the following command:
$ oc get managedcluster --selector=upgrade=true1 - 1
- The label for the clusters you want to update is
upgrade:true.
Example output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE spoke1 true https://api.spoke1.testlab.com:6443 True True 13d spoke3 true https://api.spoke3.testlab.com:6443 True True 27h
Checking if canary clusters are present
- Issue
You want to check if the canary clusters are present in the list of clusters.
Example
ClusterGroupUpgradeCRspec: remediationStrategy: canaries: - spoke3 maxConcurrency: 2 timeout: 240 clusterLabelSelectors: - matchLabels: upgrade: true- Resolution
Run the following commands:
$ oc get cgu lab-upgrade -ojsonpath='{.spec.clusters}'Example output
["spoke1", "spoke3"]Check if the canary clusters are present in the list of clusters that match
clusterLabelSelectorlabels by running the following command:$ oc get managedcluster --selector=upgrade=trueExample output
NAME HUB ACCEPTED MANAGED CLUSTER URLS JOINED AVAILABLE AGE spoke1 true https://api.spoke1.testlab.com:6443 True True 13d spoke3 true https://api.spoke3.testlab.com:6443 True True 27h
A cluster can be present in spec.clusters and also be matched by the spec.clusterLabelSelector label.
Checking the pre-caching status on spoke clusters
Check the status of pre-caching by running the following command on the spoke cluster:
$ oc get jobs,pods -n openshift-talo-pre-cache
11.9.5. Remediation Strategy Copiar enlaceEnlace copiado en el portapapeles!
Checking if remediationStrategy is present in the ClusterGroupUpgrade CR
- Issue
-
You want to check if the
remediationStrategyis present in theClusterGroupUpgradeCR. - Resolution
Run the following command:
$ oc get cgu lab-upgrade -ojsonpath='{.spec.remediationStrategy}'Example output
{"maxConcurrency":2, "timeout":240}
Checking if maxConcurrency is specified in the ClusterGroupUpgrade CR
- Issue
-
You want to check if the
maxConcurrencyis specified in theClusterGroupUpgradeCR. - Resolution
Run the following command:
$ oc get cgu lab-upgrade -ojsonpath='{.spec.remediationStrategy.maxConcurrency}'Example output
2
11.9.6. Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
Checking condition message and status in the ClusterGroupUpgrade CR
- Issue
-
You want to check the value of the
status.conditionsfield in theClusterGroupUpgradeCR. - Resolution
Run the following command:
$ oc get cgu lab-upgrade -ojsonpath='{.status.conditions}'Example output
{"lastTransitionTime":"2022-02-17T22:25:28Z", "message":"Missing managed policies:[policyList]", "reason":"NotAllManagedPoliciesExist", "status":"False", "type":"Validated"}
Checking corresponding copied policies
- Issue
-
You want to check if every policy from
status.managedPoliciesForUpgradehas a corresponding policy instatus.copiedPolicies. - Resolution
Run the following command:
$ oc get cgu lab-upgrade -oyamlExample output
status: … copiedPolicies: - lab-upgrade-policy3-common-ptp-sub-policy managedPoliciesForUpgrade: - name: policy3-common-ptp-sub-policy namespace: default
Checking if status.remediationPlan was computed
- Issue
-
You want to check if
status.remediationPlanis computed. - Resolution
Run the following command:
$ oc get cgu lab-upgrade -ojsonpath='{.status.remediationPlan}'Example output
[["spoke2", "spoke3"]]
Errors in the TALM manager container
- Issue
- You want to check the logs of the manager container of TALM.
- Resolution
Run the following command:
$ oc logs -n openshift-operators \ cluster-group-upgrades-controller-manager-75bcc7484d-8k8xp -c managerExample output
ERROR controller-runtime.manager.controller.clustergroupupgrade Reconciler error {"reconciler group": "ran.openshift.io", "reconciler kind": "ClusterGroupUpgrade", "name": "lab-upgrade", "namespace": "default", "error": "Cluster spoke5555 is not a ManagedCluster"}1 sigs.k8s.io/controller-runtime/pkg/internal/controller.(*Controller).processNextWorkItem- 1
- Displays the error.
Clusters are not compliant to some policies after a ClusterGroupUpgrade CR has completed
- Issue
The policy compliance status that TALM uses to decide if remediation is needed has not yet fully updated for all clusters. This may be because:
- The CGU was run too soon after a policy was created or updated.
-
The remediation of a policy affects the compliance of subsequent policies in the
ClusterGroupUpgradeCR.
- Resolution
-
Create and apply a new
ClusterGroupUpdateCR with the same specification.
Auto-created ClusterGroupUpgrade CR in the GitOps ZTP workflow has no managed policies
- Issue
-
If there are no policies for the managed cluster when the cluster becomes
Ready, aClusterGroupUpgradeCR with no policies is auto-created. Upon completion of theClusterGroupUpgradeCR, the managed cluster is labeled asztp-done. If thePolicyGenTemplateCRs were not pushed to the Git repository within the required time afterSiteConfigresources were pushed, this might result in no policies being available for the target cluster when the cluster becameReady. - Resolution
-
Verify that the policies you want to apply are available on the hub cluster, then create a
ClusterGroupUpgradeCR with the required policies.
You can either manually create the ClusterGroupUpgrade CR or trigger auto-creation again. To trigger auto-creation of the ClusterGroupUpgrade CR, remove the ztp-done label from the cluster and delete the empty ClusterGroupUpgrade CR that was previously created in the zip-install namespace.
Pre-caching has failed
- Issue
Pre-caching might fail for one of the following reasons:
- There is not enough free space on the node.
- For a disconnected environment, the pre-cache image has not been properly mirrored.
- There was an issue when creating the pod.
- Resolution
To check if pre-caching has failed due to insufficient space, check the log of the pre-caching pod in the node.
Find the name of the pod using the following command:
$ oc get pods -n openshift-talo-pre-cacheCheck the logs to see if the error is related to insufficient space using the following command:
$ oc logs -n openshift-talo-pre-cache <pod name>
If there is no log, check the pod status using the following command:
$ oc describe pod -n openshift-talo-pre-cache <pod name>If the pod does not exist, check the job status to see why it could not create a pod using the following command:
$ oc describe job -n openshift-talo-pre-cache pre-cache
Chapter 12. Updating managed clusters in a disconnected environment with the Topology Aware Lifecycle Manager Copiar enlaceEnlace copiado en el portapapeles!
You can use the Topology Aware Lifecycle Manager (TALM) to manage the software lifecycle of OpenShift Container Platform managed clusters. TALM uses Red Hat Advanced Cluster Management (RHACM) policies to perform changes on the target clusters.
12.1. Updating clusters in a disconnected environment Copiar enlaceEnlace copiado en el portapapeles!
You can upgrade managed clusters and Operators for managed clusters that you have deployed using GitOps Zero Touch Provisioning (ZTP) and Topology Aware Lifecycle Manager (TALM).
12.1.1. Setting up the environment Copiar enlaceEnlace copiado en el portapapeles!
TALM can perform both platform and Operator updates.
You must mirror both the platform image and Operator images that you want to update to in your mirror registry before you can use TALM to update your disconnected clusters. Complete the following steps to mirror the images:
For platform updates, you must perform the following steps:
Mirror the desired OpenShift Container Platform image repository. Ensure that the desired platform image is mirrored by following the "Mirroring the OpenShift Container Platform image repository" procedure linked in the Additional resources. Save the contents of the
imageContentSourcessection in theimageContentSources.yamlfile:Example output
imageContentSources: - mirrors: - mirror-ocp-registry.ibmcloud.io.cpak:5000/openshift-release-dev/openshift4 source: quay.io/openshift-release-dev/ocp-release - mirrors: - mirror-ocp-registry.ibmcloud.io.cpak:5000/openshift-release-dev/openshift4 source: quay.io/openshift-release-dev/ocp-v4.0-art-devSave the image signature of the desired platform image that was mirrored. You must add the image signature to the
PolicyGenTemplateCR for platform updates. To get the image signature, perform the following steps:Specify the desired OpenShift Container Platform tag by running the following command:
$ OCP_RELEASE_NUMBER=<release_version>Specify the architecture of the cluster by running the following command:
$ ARCHITECTURE=<cluster_architecture>1 - 1
- Specify the architecture of the cluster, such as
x86_64,aarch64,s390x, orppc64le.
Get the release image digest from Quay by running the following command
$ DIGEST="$(oc adm release info quay.io/openshift-release-dev/ocp-release:${OCP_RELEASE_NUMBER}-${ARCHITECTURE} | sed -n 's/Pull From: .*@//p')"Set the digest algorithm by running the following command:
$ DIGEST_ALGO="${DIGEST%%:*}"Set the digest signature by running the following command:
$ DIGEST_ENCODED="${DIGEST#*:}"Get the image signature from the mirror.openshift.com website by running the following command:
$ SIGNATURE_BASE64=$(curl -s "https://mirror.openshift.com/pub/openshift-v4/signatures/openshift/release/${DIGEST_ALGO}=${DIGEST_ENCODED}/signature-1" | base64 -w0 && echo)Save the image signature to the
checksum-<OCP_RELEASE_NUMBER>.yamlfile by running the following commands:$ cat >checksum-${OCP_RELEASE_NUMBER}.yaml <<EOF${DIGEST_ALGO}-${DIGEST_ENCODED}: ${SIGNATURE_BASE64} EOF
Prepare the update graph. You have two options to prepare the update graph:
Use the OpenShift Update Service.
For more information about how to set up the graph on the hub cluster, see Deploy the operator for OpenShift Update Service and Build the graph data init container.
Make a local copy of the upstream graph. Host the update graph on an
httporhttpsserver in the disconnected environment that has access to the managed cluster. To download the update graph, use the following command:$ curl -s https://api.openshift.com/api/upgrades_info/v1/graph?channel=stable-4.15 -o ~/upgrade-graph_stable-4.15
For Operator updates, you must perform the following task:
- Mirror the Operator catalogs. Ensure that the desired operator images are mirrored by following the procedure in the "Mirroring Operator catalogs for use with disconnected clusters" section.
12.1.2. Performing a platform update Copiar enlaceEnlace copiado en el portapapeles!
You can perform a platform update with the TALM.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
- Mirror the desired image repository.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Create a
PolicyGenTemplateCR for the platform update:Save the following contents of the
PolicyGenTemplateCR in thedu-upgrade.yamlfile.Example of
PolicyGenTemplatefor platform updateapiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: - fileName: ImageSignature.yaml1 policyName: "platform-upgrade-prep" binaryData: ${DIGEST_ALGO}-${DIGEST_ENCODED}: ${SIGNATURE_BASE64}2 - fileName: DisconnectedICSP.yaml policyName: "platform-upgrade-prep" metadata: name: disconnected-internal-icsp-for-ocp spec: repositoryDigestMirrors:3 - mirrors: - quay-intern.example.com/ocp4/openshift-release-dev source: quay.io/openshift-release-dev/ocp-release - mirrors: - quay-intern.example.com/ocp4/openshift-release-dev source: quay.io/openshift-release-dev/ocp-v4.0-art-dev - fileName: ClusterVersion.yaml4 policyName: "platform-upgrade" metadata: name: version spec: channel: "stable-4.15" upstream: http://upgrade.example.com/images/upgrade-graph_stable-4.15 desiredUpdate: version: 4.15.4 status: history: - version: 4.15.4 state: "Completed"- 1
- The
ConfigMapCR contains the signature of the desired release image to update to. - 2
- Shows the image signature of the desired OpenShift Container Platform release. Get the signature from the
checksum-${OCP_RELEASE_NUMBER}.yamlfile you saved when following the procedures in the "Setting up the environment" section. - 3
- Shows the mirror repository that contains the desired OpenShift Container Platform image. Get the mirrors from the
imageContentSources.yamlfile that you saved when following the procedures in the "Setting up the environment" section. - 4
- Shows the
ClusterVersionCR to trigger the update. Thechannel,upstream, anddesiredVersionfields are all required for image pre-caching.
The
PolicyGenTemplateCR generates two policies:-
The
du-upgrade-platform-upgrade-preppolicy does the preparation work for the platform update. It creates theConfigMapCR for the desired release image signature, creates the image content source of the mirrored release image repository, and updates the cluster version with the desired update channel and the update graph reachable by the managed cluster in the disconnected environment. -
The
du-upgrade-platform-upgradepolicy is used to perform platform upgrade.
Add the
du-upgrade.yamlfile contents to thekustomization.yamlfile located in the GitOps ZTP Git repository for thePolicyGenTemplateCRs and push the changes to the Git repository.ArgoCD pulls the changes from the Git repository and generates the policies on the hub cluster.
Check the created policies by running the following command:
$ oc get policies -A | grep platform-upgrade
Create the
ClusterGroupUpdateCR for the platform update with thespec.enablefield set tofalse.Save the content of the platform update
ClusterGroupUpdateCR with thedu-upgrade-platform-upgrade-prepand thedu-upgrade-platform-upgradepolicies and the target clusters to thecgu-platform-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-platform-upgrade namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade-prep - du-upgrade-platform-upgrade preCaching: false clusters: - spoke1 remediationStrategy: maxConcurrency: 1 enable: falseApply the
ClusterGroupUpdateCR to the hub cluster by running the following command:$ oc apply -f cgu-platform-upgrade.yml
Optional: Pre-cache the images for the platform update.
Enable pre-caching in the
ClusterGroupUpdateCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-platform-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the update process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the hub cluster:
$ oc get cgu cgu-platform-upgrade -o jsonpath='{.status.precaching.status}'
Start the platform update:
Enable the
cgu-platform-upgradepolicy and disable pre-caching by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-platform-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
12.1.3. Performing an Operator update Copiar enlaceEnlace copiado en el portapapeles!
You can perform an Operator update with the TALM.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
- Mirror the desired index image, bundle images, and all Operator images referenced in the bundle images.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
Update the
PolicyGenTemplateCR for the Operator update.Update the
du-upgradePolicyGenTemplateCR with the following additional contents in thedu-upgrade.yamlfile:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: - fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "operator-catsrc-policy" metadata: name: redhat-operators-disconnected spec: displayName: Red Hat Operators Catalog image: registry.example.com:5000/olm/redhat-operators-disconnected:v4.151 updateStrategy:2 registryPoll: interval: 1h status: connectionState: lastObservedState: READY3 - 1
- The index image URL contains the desired Operator images. If the index images are always pushed to the same image name and tag, this change is not needed.
- 2
- Set how frequently the Operator Lifecycle Manager (OLM) polls the index image for new Operator versions with the
registryPoll.intervalfield. This change is not needed if a new index image tag is always pushed for y-stream and z-stream Operator updates. TheregistryPoll.intervalfield can be set to a shorter interval to expedite the update, however shorter intervals increase computational load. To counteract this, you can restoreregistryPoll.intervalto the default value once the update is complete. - 3
- Last observed state of the catalog connection. The
READYvalue ensures that theCatalogSourcepolicy is ready, indicating that the index pod is pulled and is running. This way, TALM upgrades the Operators based on up-to-date policy compliance states.
This update generates one policy,
du-upgrade-operator-catsrc-policy, to update theredhat-operators-disconnectedcatalog source with the new index images that contain the desired Operators images.NoteIf you want to use the image pre-caching for Operators and there are Operators from a different catalog source other than
redhat-operators-disconnected, you must perform the following tasks:- Prepare a separate catalog source policy with the new index image or registry poll interval update for the different catalog source.
- Prepare a separate subscription policy for the desired Operators that are from the different catalog source.
For example, the desired SRIOV-FEC Operator is available in the
certified-operatorscatalog source. To update the catalog source and the Operator subscription, add the following contents to generate two policies,du-upgrade-fec-catsrc-policyanddu-upgrade-subscriptions-fec-policy:apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "du-upgrade" namespace: "ztp-group-du-sno" spec: bindingRules: group-du-sno: "" mcp: "master" remediationAction: inform sourceFiles: … - fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "fec-catsrc-policy" metadata: name: certified-operators spec: displayName: Intel SRIOV-FEC Operator image: registry.example.com:5000/olm/far-edge-sriov-fec:v4.10 updateStrategy: registryPoll: interval: 10m - fileName: AcceleratorsSubscription.yaml policyName: "subscriptions-fec-policy" spec: channel: "stable" source: certified-operatorsRemove the specified subscriptions channels in the common
PolicyGenTemplateCR, if they exist. The default subscriptions channels from the GitOps ZTP image are used for the update.NoteThe default channel for the Operators applied through GitOps ZTP 4.15 is
stable, except for theperformance-addon-operator. As of OpenShift Container Platform 4.11, theperformance-addon-operatorfunctionality was moved to thenode-tuning-operator. For the 4.10 release, the default channel for PAO isv4.10. You can also specify the default channels in the commonPolicyGenTemplateCR.Push the
PolicyGenTemplateCRs updates to the GitOps ZTP Git repository.ArgoCD pulls the changes from the Git repository and generates the policies on the hub cluster.
Check the created policies by running the following command:
$ oc get policies -A | grep -E "catsrc-policy|subscription"
Apply the required catalog source updates before starting the Operator update.
Save the content of the
ClusterGroupUpgradeCR namedoperator-upgrade-prepwith the catalog source policies and the target managed clusters to thecgu-operator-upgrade-prep.ymlfile:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-operator-upgrade-prep namespace: default spec: clusters: - spoke1 enable: true managedPolicies: - du-upgrade-operator-catsrc-policy remediationStrategy: maxConcurrency: 1Apply the policy to the hub cluster by running the following command:
$ oc apply -f cgu-operator-upgrade-prep.ymlMonitor the update process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies -A | grep -E "catsrc-policy"
Create the
ClusterGroupUpgradeCR for the Operator update with thespec.enablefield set tofalse.Save the content of the Operator update
ClusterGroupUpgradeCR with thedu-upgrade-operator-catsrc-policypolicy and the subscription policies created from the commonPolicyGenTemplateand the target clusters to thecgu-operator-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-operator-upgrade namespace: default spec: managedPolicies: - du-upgrade-operator-catsrc-policy1 - common-subscriptions-policy2 preCaching: false clusters: - spoke1 remediationStrategy: maxConcurrency: 1 enable: false- 1
- The policy is needed by the image pre-caching feature to retrieve the operator images from the catalog source.
- 2
- The policy contains Operator subscriptions. If you have followed the structure and content of the reference
PolicyGenTemplates, all Operator subscriptions are grouped into thecommon-subscriptions-policypolicy.
NoteOne
ClusterGroupUpgradeCR can only pre-cache the images of the desired Operators defined in the subscription policy from one catalog source included in theClusterGroupUpgradeCR. If the desired Operators are from different catalog sources, such as in the example of the SRIOV-FEC Operator, anotherClusterGroupUpgradeCR must be created withdu-upgrade-fec-catsrc-policyanddu-upgrade-subscriptions-fec-policypolicies for the SRIOV-FEC Operator images pre-caching and update.Apply the
ClusterGroupUpgradeCR to the hub cluster by running the following command:$ oc apply -f cgu-operator-upgrade.yml
Optional: Pre-cache the images for the Operator update.
Before starting image pre-caching, verify the subscription policy is
NonCompliantat this point by running the following command:$ oc get policy common-subscriptions-policy -n <policy_namespace>Example output
NAME REMEDIATION ACTION COMPLIANCE STATE AGE common-subscriptions-policy inform NonCompliant 27dEnable pre-caching in the
ClusterGroupUpgradeCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-operator-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the managed cluster:
$ oc get cgu cgu-operator-upgrade -o jsonpath='{.status.precaching.status}'Check if the pre-caching is completed before starting the update by running the following command:
$ oc get cgu -n default cgu-operator-upgrade -ojsonpath='{.status.conditions}' | jqExample output
[ { "lastTransitionTime": "2022-03-08T20:49:08.000Z", "message": "The ClusterGroupUpgrade CR is not enabled", "reason": "UpgradeNotStarted", "status": "False", "type": "Ready" }, { "lastTransitionTime": "2022-03-08T20:55:30.000Z", "message": "Precaching is completed", "reason": "PrecachingCompleted", "status": "True", "type": "PrecachingDone" } ]
Start the Operator update.
Enable the
cgu-operator-upgradeClusterGroupUpgradeCR and disable pre-caching to start the Operator update by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-operator-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
12.1.3.1. Troubleshooting missed Operator updates due to out-of-date policy compliance states Copiar enlaceEnlace copiado en el portapapeles!
In some scenarios, Topology Aware Lifecycle Manager (TALM) might miss Operator updates due to an out-of-date policy compliance state.
After a catalog source update, it takes time for the Operator Lifecycle Manager (OLM) to update the subscription status. The status of the subscription policy might continue to show as compliant while TALM decides whether remediation is needed. As a result, the Operator specified in the subscription policy does not get upgraded.
To avoid this scenario, add another catalog source configuration to the PolicyGenTemplate and specify this configuration in the subscription for any Operators that require an update.
Procedure
Add a catalog source configuration in the
PolicyGenTemplateresource:- fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "operator-catsrc-policy" metadata: name: redhat-operators-disconnected spec: displayName: Red Hat Operators Catalog image: registry.example.com:5000/olm/redhat-operators-disconnected:v{product-version} updateStrategy: registryPoll: interval: 1h status: connectionState: lastObservedState: READY - fileName: DefaultCatsrc.yaml remediationAction: inform policyName: "operator-catsrc-policy" metadata: name: redhat-operators-disconnected-v21 spec: displayName: Red Hat Operators Catalog v22 image: registry.example.com:5000/olm/redhat-operators-disconnected:<version>3 updateStrategy: registryPoll: interval: 1h status: connectionState: lastObservedState: READYUpdate the
Subscriptionresource to point to the new configuration for Operators that require an update:apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: operator-subscription namespace: operator-namspace # ... spec: source: redhat-operators-disconnected-v21 # ...- 1
- Enter the name of the additional catalog source configuration that you defined in the
PolicyGenTemplateresource.
12.1.4. Performing a platform and an Operator update together Copiar enlaceEnlace copiado en el portapapeles!
You can perform a platform and an Operator update at the same time.
Prerequisites
- Install the Topology Aware Lifecycle Manager (TALM).
- Update GitOps Zero Touch Provisioning (ZTP) to the latest version.
- Provision one or more managed clusters with GitOps ZTP.
-
Log in as a user with
cluster-adminprivileges. - Create RHACM policies in the hub cluster.
Procedure
-
Create the
PolicyGenTemplateCR for the updates by following the steps described in the "Performing a platform update" and "Performing an Operator update" sections. Apply the prep work for the platform and the Operator update.
Save the content of the
ClusterGroupUpgradeCR with the policies for platform update preparation work, catalog source updates, and target clusters to thecgu-platform-operator-upgrade-prep.ymlfile, for example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-platform-operator-upgrade-prep namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade-prep - du-upgrade-operator-catsrc-policy clusterSelector: - group-du-sno remediationStrategy: maxConcurrency: 10 enable: trueApply the
cgu-platform-operator-upgrade-prep.ymlfile to the hub cluster by running the following command:$ oc apply -f cgu-platform-operator-upgrade-prep.ymlMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespaces
Create the
ClusterGroupUpdateCR for the platform and the Operator update with thespec.enablefield set tofalse.Save the contents of the platform and Operator update
ClusterGroupUpdateCR with the policies and the target clusters to thecgu-platform-operator-upgrade.ymlfile, as shown in the following example:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu-du-upgrade namespace: default spec: managedPolicies: - du-upgrade-platform-upgrade1 - du-upgrade-operator-catsrc-policy2 - common-subscriptions-policy3 preCaching: true clusterSelector: - group-du-sno remediationStrategy: maxConcurrency: 1 enable: falseApply the
cgu-platform-operator-upgrade.ymlfile to the hub cluster by running the following command:$ oc apply -f cgu-platform-operator-upgrade.yml
Optional: Pre-cache the images for the platform and the Operator update.
Enable pre-caching in the
ClusterGroupUpgradeCR by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-du-upgrade \ --patch '{"spec":{"preCaching": true}}' --type=mergeMonitor the update process and wait for the pre-caching to complete. Check the status of pre-caching by running the following command on the managed cluster:
$ oc get jobs,pods -n openshift-talm-pre-cacheCheck if the pre-caching is completed before starting the update by running the following command:
$ oc get cgu cgu-du-upgrade -ojsonpath='{.status.conditions}'
Start the platform and Operator update.
Enable the
cgu-du-upgradeClusterGroupUpgradeCR to start the platform and the Operator update by running the following command:$ oc --namespace=default patch clustergroupupgrade.ran.openshift.io/cgu-du-upgrade \ --patch '{"spec":{"enable":true, "preCaching": false}}' --type=mergeMonitor the process. Upon completion, ensure that the policy is compliant by running the following command:
$ oc get policies --all-namespacesNoteThe CRs for the platform and Operator updates can be created from the beginning by configuring the setting to
spec.enable: true. In this case, the update starts immediately after pre-caching completes and there is no need to manually enable the CR.Both pre-caching and the update create extra resources, such as policies, placement bindings, placement rules, managed cluster actions, and managed cluster view, to help complete the procedures. Setting the
afterCompletion.deleteObjectsfield totruedeletes all these resources after the updates complete.
12.1.5. Removing Performance Addon Operator subscriptions from deployed clusters Copiar enlaceEnlace copiado en el portapapeles!
In earlier versions of OpenShift Container Platform, the Performance Addon Operator provided automatic, low latency performance tuning for applications. In OpenShift Container Platform 4.11 or later, these functions are part of the Node Tuning Operator.
Do not install the Performance Addon Operator on clusters running OpenShift Container Platform 4.11 or later. If you upgrade to OpenShift Container Platform 4.11 or later, the Node Tuning Operator automatically removes the Performance Addon Operator.
You need to remove any policies that create Performance Addon Operator subscriptions to prevent a re-installation of the Operator.
The reference DU profile includes the Performance Addon Operator in the PolicyGenTemplate CR common-ranGen.yaml. To remove the subscription from deployed managed clusters, you must update common-ranGen.yaml.
If you install Performance Addon Operator 4.10.3-5 or later on OpenShift Container Platform 4.11 or later, the Performance Addon Operator detects the cluster version and automatically hibernates to avoid interfering with the Node Tuning Operator functions. However, to ensure best performance, remove the Performance Addon Operator from your OpenShift Container Platform 4.11 clusters.
Prerequisites
- Create a Git repository where you manage your custom site configuration data. The repository must be accessible from the hub cluster and be defined as a source repository for ArgoCD.
- Update to OpenShift Container Platform 4.11 or later.
-
Log in as a user with
cluster-adminprivileges.
Procedure
Change the
complianceTypetomustnothavefor the Performance Addon Operator namespace, Operator group, and subscription in thecommon-ranGen.yamlfile.- fileName: PaoSubscriptionNS.yaml policyName: "subscriptions-policy" complianceType: mustnothave - fileName: PaoSubscriptionOperGroup.yaml policyName: "subscriptions-policy" complianceType: mustnothave - fileName: PaoSubscription.yaml policyName: "subscriptions-policy" complianceType: mustnothave-
Merge the changes with your custom site repository and wait for the ArgoCD application to synchronize the change to the hub cluster. The status of the
common-subscriptions-policypolicy changes toNon-Compliant. - Apply the change to your target clusters by using the Topology Aware Lifecycle Manager. For more information about rolling out configuration changes, see the "Additional resources" section.
Monitor the process. When the status of the
common-subscriptions-policypolicy for a target cluster isCompliant, the Performance Addon Operator has been removed from the cluster. Get the status of thecommon-subscriptions-policyby running the following command:$ oc get policy -n ztp-common common-subscriptions-policy-
Delete the Performance Addon Operator namespace, Operator group and subscription CRs from
.spec.sourceFilesin thecommon-ranGen.yamlfile. - Merge the changes with your custom site repository and wait for the ArgoCD application to synchronize the change to the hub cluster. The policy remains compliant.
12.1.6. Pre-caching user-specified images with TALM on single-node OpenShift clusters Copiar enlaceEnlace copiado en el portapapeles!
You can pre-cache application-specific workload images on single-node OpenShift clusters before upgrading your applications.
You can specify the configuration options for the pre-caching jobs using the following custom resources (CR):
-
PreCachingConfigCR -
ClusterGroupUpgradeCR
All fields in the PreCachingConfig CR are optional.
Example PreCachingConfig CR
apiVersion: ran.openshift.io/v1alpha1
kind: PreCachingConfig
metadata:
name: exampleconfig
namespace: exampleconfig-ns
spec:
overrides:
platformImage: quay.io/openshift-release-dev/ocp-release@sha256:3d5800990dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47e2e1ef
operatorsIndexes:
- registry.example.com:5000/custom-redhat-operators:1.0.0
operatorsPackagesAndChannels:
- local-storage-operator: stable
- ptp-operator: stable
- sriov-network-operator: stable
spaceRequired: 30 Gi
excludePrecachePatterns:
- aws
- vsphere
additionalImages:
- quay.io/exampleconfig/application1@sha256:3d5800990dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47e2e1ef
- quay.io/exampleconfig/application2@sha256:3d5800123dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47adfaef
- quay.io/exampleconfig/applicationN@sha256:4fe1334adfafadsf987123adfffdaf1243340adfafdedga0991234afdadfsa09
- 1
- By default, TALM automatically populates the
platformImage,operatorsIndexes, and theoperatorsPackagesAndChannelsfields from the policies of the managed clusters. You can specify values to override the default TALM-derived values for these fields. - 2
- Specifies the minimum required disk space on the cluster. If unspecified, TALM defines a default value for OpenShift Container Platform images. The disk space field must include an integer value and the storage unit. For example:
40 GiB,200 MB,1 TiB. - 3
- Specifies the images to exclude from pre-caching based on image name matching.
- 4
- Specifies the list of additional images to pre-cache.
Example ClusterGroupUpgrade CR with PreCachingConfig CR reference
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
name: cgu
spec:
preCaching: true
preCachingConfigRef:
name: exampleconfig
namespace: exampleconfig-ns
12.1.6.1. Creating the custom resources for pre-caching Copiar enlaceEnlace copiado en el portapapeles!
You must create the PreCachingConfig CR before or concurrently with the ClusterGroupUpgrade CR.
Create the
PreCachingConfigCR with the list of additional images you want to pre-cache.apiVersion: ran.openshift.io/v1alpha1 kind: PreCachingConfig metadata: name: exampleconfig namespace: default1 spec: [...] spaceRequired: 30Gi2 additionalImages: - quay.io/exampleconfig/application1@sha256:3d5800990dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47e2e1ef - quay.io/exampleconfig/application2@sha256:3d5800123dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47adfaef - quay.io/exampleconfig/applicationN@sha256:4fe1334adfafadsf987123adfffdaf1243340adfafdedga0991234afdadfsa09Create a
ClusterGroupUpgradeCR with thepreCachingfield set totrueand specify thePreCachingConfigCR created in the previous step:apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: cgu namespace: default spec: clusters: - sno1 - sno2 preCaching: true preCachingConfigRef: - name: exampleconfig namespace: default managedPolicies: - du-upgrade-platform-upgrade - du-upgrade-operator-catsrc-policy - common-subscriptions-policy remediationStrategy: timeout: 240WarningOnce you install the images on the cluster, you cannot change or delete them.
When you want to start pre-caching the images, apply the
ClusterGroupUpgradeCR by running the following command:$ oc apply -f cgu.yaml
TALM verifies the ClusterGroupUpgrade CR.
From this point, you can continue with the TALM pre-caching workflow.
All sites are pre-cached concurrently.
Verification
Check the pre-caching status on the hub cluster where the
ClusterUpgradeGroupCR is applied by running the following command:$ oc get cgu <cgu_name> -n <cgu_namespace> -oyamlExample output
precaching: spec: platformImage: quay.io/openshift-release-dev/ocp-release@sha256:3d5800990dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47e2e1ef operatorsIndexes: - registry.example.com:5000/custom-redhat-operators:1.0.0 operatorsPackagesAndChannels: - local-storage-operator: stable - ptp-operator: stable - sriov-network-operator: stable excludePrecachePatterns: - aws - vsphere additionalImages: - quay.io/exampleconfig/application1@sha256:3d5800990dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47e2e1ef - quay.io/exampleconfig/application2@sha256:3d5800123dee7cd4727d3fe238a97e2d2976d3808fc925ada29c559a47adfaef - quay.io/exampleconfig/applicationN@sha256:4fe1334adfafadsf987123adfffdaf1243340adfafdedga0991234afdadfsa09 spaceRequired: "30" status: sno1: Starting sno2: StartingThe pre-caching configurations are validated by checking if the managed policies exist. Valid configurations of the
ClusterGroupUpgradeand thePreCachingConfigCRs result in the following statuses:Example output of valid CRs
- lastTransitionTime: "2023-01-01T00:00:01Z" message: All selected clusters are valid reason: ClusterSelectionCompleted status: "True" type: ClusterSelected - lastTransitionTime: "2023-01-01T00:00:02Z" message: Completed validation reason: ValidationCompleted status: "True" type: Validated - lastTransitionTime: "2023-01-01T00:00:03Z" message: Precaching spec is valid and consistent reason: PrecacheSpecIsWellFormed status: "True" type: PrecacheSpecValid - lastTransitionTime: "2023-01-01T00:00:04Z" message: Precaching in progress for 1 clusters reason: InProgress status: "False" type: PrecachingSucceededExample of an invalid PreCachingConfig CR
Type: "PrecacheSpecValid" Status: False, Reason: "PrecacheSpecIncomplete" Message: "Precaching spec is incomplete: failed to get PreCachingConfig resource due to PreCachingConfig.ran.openshift.io "<pre-caching_cr_name>" not found"You can find the pre-caching job by running the following command on the managed cluster:
$ oc get jobs -n openshift-talo-pre-cacheExample of pre-caching job in progress
NAME COMPLETIONS DURATION AGE pre-cache 0/1 1s 1sYou can check the status of the pod created for the pre-caching job by running the following command:
$ oc describe pod pre-cache -n openshift-talo-pre-cacheExample of pre-caching job in progress
Type Reason Age From Message Normal SuccesfulCreate 19s job-controller Created pod: pre-cache-abcd1You can get live updates on the status of the job by running the following command:
$ oc logs -f pre-cache-abcd1 -n openshift-talo-pre-cacheTo verify the pre-cache job is successfully completed, run the following command:
$ oc describe pod pre-cache -n openshift-talo-pre-cacheExample of completed pre-cache job
Type Reason Age From Message Normal SuccesfulCreate 5m19s job-controller Created pod: pre-cache-abcd1 Normal Completed 19s job-controller Job completedTo verify that the images are successfully pre-cached on the single-node OpenShift, do the following:
Enter into the node in debug mode:
$ oc debug node/cnfdf00.example.labChange root to
host:$ chroot /host/Search for the desired images:
$ sudo podman images | grep <operator_name>
12.2. About the auto-created ClusterGroupUpgrade CR for GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
TALM has a controller called ManagedClusterForCGU that monitors the Ready state of the ManagedCluster CRs on the hub cluster and creates the ClusterGroupUpgrade CRs for GitOps Zero Touch Provisioning (ZTP).
For any managed cluster in the Ready state without a ztp-done label applied, the ManagedClusterForCGU controller automatically creates a ClusterGroupUpgrade CR in the ztp-install namespace with its associated RHACM policies that are created during the GitOps ZTP process. TALM then remediates the set of configuration policies that are listed in the auto-created ClusterGroupUpgrade CR to push the configuration CRs to the managed cluster.
If there are no policies for the managed cluster at the time when the cluster becomes Ready, a ClusterGroupUpgrade CR with no policies is created. Upon completion of the ClusterGroupUpgrade the managed cluster is labeled as ztp-done. If there are policies that you want to apply for that managed cluster, manually create a ClusterGroupUpgrade as a day-2 operation.
Example of an auto-created ClusterGroupUpgrade CR for GitOps ZTP
apiVersion: ran.openshift.io/v1alpha1
kind: ClusterGroupUpgrade
metadata:
generation: 1
name: spoke1
namespace: ztp-install
ownerReferences:
- apiVersion: cluster.open-cluster-management.io/v1
blockOwnerDeletion: true
controller: true
kind: ManagedCluster
name: spoke1
uid: 98fdb9b2-51ee-4ee7-8f57-a84f7f35b9d5
resourceVersion: "46666836"
uid: b8be9cd2-764f-4a62-87d6-6b767852c7da
spec:
actions:
afterCompletion:
addClusterLabels:
ztp-done: ""
deleteClusterLabels:
ztp-running: ""
deleteObjects: true
beforeEnable:
addClusterLabels:
ztp-running: ""
clusters:
- spoke1
enable: true
managedPolicies:
- common-spoke1-config-policy
- common-spoke1-subscriptions-policy
- group-spoke1-config-policy
- spoke1-config-policy
- group-spoke1-validator-du-policy
preCaching: false
remediationStrategy:
maxConcurrency: 1
timeout: 240
Chapter 13. Expanding single-node OpenShift clusters with GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
You can expand single-node OpenShift clusters with GitOps Zero Touch Provisioning (ZTP). When you add worker nodes to single-node OpenShift clusters, the original single-node OpenShift cluster retains the control plane node role. Adding worker nodes does not require any downtime for the existing single-node OpenShift cluster.
Although there is no specified limit on the number of worker nodes that you can add to a single-node OpenShift cluster, you must revaluate the reserved CPU allocation on the control plane node for the additional worker nodes.
If you require workload partitioning on the worker node, you must deploy and remediate the managed cluster policies on the hub cluster before installing the node. This way, the workload partitioning MachineConfig objects are rendered and associated with the worker machine config pool before the GitOps ZTP workflow applies the MachineConfig ignition file to the worker node.
It is recommended that you first remediate the policies, and then install the worker node. If you create the workload partitioning manifests after installing the worker node, you must drain the node manually and delete all the pods managed by daemon sets. When the managing daemon sets create the new pods, the new pods undergo the workload partitioning process.
Adding worker nodes to single-node OpenShift clusters with GitOps ZTP is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
13.1. Applying profiles to the worker node Copiar enlaceEnlace copiado en el portapapeles!
You can configure the additional worker node with a DU profile.
You can apply a RAN distributed unit (DU) profile to the worker node cluster using the GitOps Zero Touch Provisioning (ZTP) common, group, and site-specific PolicyGenTemplate resources. The GitOps ZTP pipeline that is linked to the ArgoCD policies application includes the following CRs that you can find in the out/argocd/example/policygentemplates folder when you extract the ztp-site-generate container:
-
common-ranGen.yaml -
group-du-sno-ranGen.yaml -
example-sno-site.yaml -
ns.yaml -
kustomization.yaml
Configuring the DU profile on the worker node is considered an upgrade. To initiate the upgrade flow, you must update the existing policies or create additional ones. Then, you must create a ClusterGroupUpgrade CR to reconcile the policies in the group of clusters.
13.2. (Optional) Ensuring PTP and SR-IOV daemon selector compatibility Copiar enlaceEnlace copiado en el portapapeles!
If the DU profile was deployed using the GitOps Zero Touch Provisioning (ZTP) plugin version 4.11 or earlier, the PTP and SR-IOV Operators might be configured to place the daemons only on nodes labelled as master. This configuration prevents the PTP and SR-IOV daemons from operating on the worker node. If the PTP and SR-IOV daemon node selectors are incorrectly configured on your system, you must change the daemons before proceeding with the worker DU profile configuration.
Procedure
Check the daemon node selector settings of the PTP Operator on one of the spoke clusters:
$ oc get ptpoperatorconfig/default -n openshift-ptp -ojsonpath='{.spec}' | jqExample output for PTP Operator
{"daemonNodeSelector":{"node-role.kubernetes.io/master":""}}1 - 1
- If the node selector is set to
master, the spoke was deployed with the version of the GitOps ZTP plugin that requires changes.
Check the daemon node selector settings of the SR-IOV Operator on one of the spoke clusters:
$ oc get sriovoperatorconfig/default -n \ openshift-sriov-network-operator -ojsonpath='{.spec}' | jqExample output for SR-IOV Operator
{"configDaemonNodeSelector":{"node-role.kubernetes.io/worker":""},"disableDrain":false,"enableInjector":true,"enableOperatorWebhook":true}1 - 1
- If the node selector is set to
master, the spoke was deployed with the version of the GitOps ZTP plugin that requires changes.
In the group policy, add the following
complianceTypeandspecentries:spec: - fileName: PtpOperatorConfig.yaml policyName: "config-policy" complianceType: mustonlyhave spec: daemonNodeSelector: node-role.kubernetes.io/worker: "" - fileName: SriovOperatorConfig.yaml policyName: "config-policy" complianceType: mustonlyhave spec: configDaemonNodeSelector: node-role.kubernetes.io/worker: ""ImportantChanging the
daemonNodeSelectorfield causes temporary PTP synchronization loss and SR-IOV connectivity loss.- Commit the changes in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
13.3. PTP and SR-IOV node selector compatibility Copiar enlaceEnlace copiado en el portapapeles!
The PTP configuration resources and SR-IOV network node policies use node-role.kubernetes.io/master: "" as the node selector. If the additional worker nodes have the same NIC configuration as the control plane node, the policies used to configure the control plane node can be reused for the worker nodes. However, the node selector must be changed to select both node types, for example with the "node-role.kubernetes.io/worker" label.
13.4. Using PolicyGenTemplate CRs to apply worker node policies to worker nodes Copiar enlaceEnlace copiado en el portapapeles!
You can create policies for worker nodes.
Procedure
Create the following policy template:
apiVersion: ran.openshift.io/v1 kind: PolicyGenTemplate metadata: name: "example-sno-workers" namespace: "example-sno" spec: bindingRules: sites: "example-sno"1 mcp: "worker"2 sourceFiles: - fileName: MachineConfigGeneric.yaml3 policyName: "config-policy" metadata: labels: machineconfiguration.openshift.io/role: worker name: enable-workload-partitioning spec: config: storage: files: - contents: source: data:text/plain;charset=utf-8;base64,W2NyaW8ucnVudGltZS53b3JrbG9hZHMubWFuYWdlbWVudF0KYWN0aXZhdGlvbl9hbm5vdGF0aW9uID0gInRhcmdldC53b3JrbG9hZC5vcGVuc2hpZnQuaW8vbWFuYWdlbWVudCIKYW5ub3RhdGlvbl9wcmVmaXggPSAicmVzb3VyY2VzLndvcmtsb2FkLm9wZW5zaGlmdC5pbyIKcmVzb3VyY2VzID0geyAiY3B1c2hhcmVzIiA9IDAsICJjcHVzZXQiID0gIjAtMyIgfQo= mode: 420 overwrite: true path: /etc/crio/crio.conf.d/01-workload-partitioning user: name: root - contents: source: data:text/plain;charset=utf-8;base64,ewogICJtYW5hZ2VtZW50IjogewogICAgImNwdXNldCI6ICIwLTMiCiAgfQp9Cg== mode: 420 overwrite: true path: /etc/kubernetes/openshift-workload-pinning user: name: root - fileName: PerformanceProfile.yaml policyName: "config-policy" metadata: name: openshift-worker-node-performance-profile spec: cpu:4 isolated: "4-47" reserved: "0-3" hugepages: defaultHugepagesSize: 1G pages: - size: 1G count: 32 realTimeKernel: enabled: true - fileName: TunedPerformancePatch.yaml policyName: "config-policy" metadata: name: performance-patch-worker spec: profile: - name: performance-patch-worker data: | [main] summary=Configuration changes profile inherited from performance created tuned include=openshift-node-performance-openshift-worker-node-performance-profile [bootloader] cmdline_crash=nohz_full=4-475 [sysctl] kernel.timer_migration=1 [scheduler] group.ice-ptp=0:f:10:*:ice-ptp.* [service] service.stalld=start,enable service.chronyd=stop,disable recommend: - profile: performance-patch-worker- 1
- The policies are applied to all clusters with this label.
- 2
- The
MCPfield must be set toworker. - 3
- This generic
MachineConfigCR is used to configure workload partitioning on the worker node. - 4
- The
cpu.isolatedandcpu.reservedfields must be configured for each particular hardware platform. - 5
- The
cmdline_crashCPU set must match thecpu.isolatedset in thePerformanceProfilesection.
A generic
MachineConfigCR is used to configure workload partitioning on the worker node. You can generate the content ofcrioandkubeletconfiguration files.-
Add the created policy template to the Git repository monitored by the ArgoCD
policiesapplication. -
Add the policy in the
kustomization.yamlfile. - Commit the changes in Git, and then push to the Git repository being monitored by the GitOps ZTP ArgoCD application.
To remediate the new policies to your spoke cluster, create a TALM custom resource:
$ cat <<EOF | oc apply -f - apiVersion: ran.openshift.io/v1alpha1 kind: ClusterGroupUpgrade metadata: name: example-sno-worker-policies namespace: default spec: backup: false clusters: - example-sno enable: true managedPolicies: - group-du-sno-config-policy - example-sno-workers-config-policy - example-sno-config-policy preCaching: false remediationStrategy: maxConcurrency: 1 EOF
13.5. Adding worker nodes to single-node OpenShift clusters with GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
You can add one or more worker nodes to existing single-node OpenShift clusters to increase available CPU resources in the cluster.
Prerequisites
- Install and configure RHACM 2.6 or later in an OpenShift Container Platform 4.11 or later bare-metal hub cluster
- Install Topology Aware Lifecycle Manager in the hub cluster
- Install Red Hat OpenShift GitOps in the hub cluster
-
Use the GitOps ZTP
ztp-site-generatecontainer image version 4.12 or later - Deploy a managed single-node OpenShift cluster with GitOps ZTP
- Configure the Central Infrastructure Management as described in the RHACM documentation
-
Configure the DNS serving the cluster to resolve the internal API endpoint
api-int.<cluster_name>.<base_domain>
Procedure
If you deployed your cluster by using the
example-sno.yamlSiteConfigmanifest, add your new worker node to thespec.clusters['example-sno'].nodeslist:nodes: - hostName: "example-node2.example.com" role: "worker" bmcAddress: "idrac-virtualmedia+https://[1111:2222:3333:4444::bbbb:1]/redfish/v1/Systems/System.Embedded.1" bmcCredentialsName: name: "example-node2-bmh-secret" bootMACAddress: "AA:BB:CC:DD:EE:11" bootMode: "UEFI" nodeNetwork: interfaces: - name: eno1 macAddress: "AA:BB:CC:DD:EE:11" config: interfaces: - name: eno1 type: ethernet state: up macAddress: "AA:BB:CC:DD:EE:11" ipv4: enabled: false ipv6: enabled: true address: - ip: 1111:2222:3333:4444::1 prefix-length: 64 dns-resolver: config: search: - example.com server: - 1111:2222:3333:4444::2 routes: config: - destination: ::/0 next-hop-interface: eno1 next-hop-address: 1111:2222:3333:4444::1 table-id: 254Create a BMC authentication secret for the new host, as referenced by the
bmcCredentialsNamefield in thespec.nodessection of yourSiteConfigfile:apiVersion: v1 data: password: "password" username: "username" kind: Secret metadata: name: "example-node2-bmh-secret" namespace: example-sno type: OpaqueCommit the changes in Git, and then push to the Git repository that is being monitored by the GitOps ZTP ArgoCD application.
When the ArgoCD
clusterapplication synchronizes, two new manifests appear on the hub cluster generated by the GitOps ZTP plugin:-
BareMetalHost NMStateConfigImportantThe
cpusetfield should not be configured for the worker node. Workload partitioning for worker nodes is added through management policies after the node installation is complete.
-
Verification
You can monitor the installation process in several ways.
Check if the preprovisioning images are created by running the following command:
$ oc get ppimg -n example-snoExample output
NAMESPACE NAME READY REASON example-sno example-sno True ImageCreated example-sno example-node2 True ImageCreatedCheck the state of the bare-metal hosts:
$ oc get bmh -n example-snoExample output
NAME STATE CONSUMER ONLINE ERROR AGE example-sno provisioned true 69m example-node2 provisioning true 4m50s1 - 1
- The
provisioningstate indicates that node booting from the installation media is in progress.
Continuously monitor the installation process:
Watch the agent install process by running the following command:
$ oc get agent -n example-sno --watchExample output
NAME CLUSTER APPROVED ROLE STAGE 671bc05d-5358-8940-ec12-d9ad22804faa example-sno true master Done [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Starting installation 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Installing 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Writing image to disk [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Waiting for control plane [...] 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker Rebooting 14fd821b-a35d-9cba-7978-00ddf535ff37 example-sno true worker DoneWhen the worker node installation is finished, the worker node certificates are approved automatically. At this point, the worker appears in the
ManagedClusterInfostatus. Run the following command to see the status:$ oc get managedclusterinfo/example-sno -n example-sno -o \ jsonpath='{range .status.nodeList[*]}{.name}{"\t"}{.conditions}{"\t"}{.labels}{"\n"}{end}'Example output
example-sno [{"status":"True","type":"Ready"}] {"node-role.kubernetes.io/master":"","node-role.kubernetes.io/worker":""} example-node2 [{"status":"True","type":"Ready"}] {"node-role.kubernetes.io/worker":""}
Chapter 14. Pre-caching images for single-node OpenShift deployments Copiar enlaceEnlace copiado en el portapapeles!
In environments with limited bandwidth where you use the GitOps Zero Touch Provisioning (ZTP) solution to deploy a large number of clusters, you want to avoid downloading all the images that are required for bootstrapping and installing OpenShift Container Platform. The limited bandwidth at remote single-node OpenShift sites can cause long deployment times. The factory-precaching-cli tool allows you to pre-stage servers before shipping them to the remote site for ZTP provisioning.
The factory-precaching-cli tool does the following:
- Downloads the RHCOS rootfs image that is required by the minimal ISO to boot.
-
Creates a partition from the installation disk labelled as
data. - Formats the disk in xfs.
- Creates a GUID Partition Table (GPT) data partition at the end of the disk, where the size of the partition is configurable by the tool.
- Copies the container images required to install OpenShift Container Platform.
- Copies the container images required by ZTP to install OpenShift Container Platform.
- Optional: Copies Day-2 Operators to the partition.
The factory-precaching-cli tool is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
14.1. Getting the factory-precaching-cli tool Copiar enlaceEnlace copiado en el portapapeles!
The factory-precaching-cli tool Go binary is publicly available in the {rds-first} tools container image. The factory-precaching-cli tool Go binary in the container image is executed on the server running an RHCOS live image using podman. If you are working in a disconnected environment or have a private registry, you need to copy the image there so you can download the image to the server.
Procedure
Pull the factory-precaching-cli tool image by running the following command:
# podman pull quay.io/openshift-kni/telco-ran-tools:latest
Verification
To check that the tool is available, query the current version of the factory-precaching-cli tool Go binary:
# podman run quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli -vExample output
factory-precaching-cli version 20221018.120852+main.feecf17
14.2. Booting from a live operating system image Copiar enlaceEnlace copiado en el portapapeles!
You can use the factory-precaching-cli tool with to boot servers where only one disk is available and external disk drive cannot be attached to the server.
RHCOS requires the disk to not be in use when the disk is about to be written with an RHCOS image.
Depending on the server hardware, you can mount the RHCOS live ISO on the blank server using one of the following methods:
- Using the Dell RACADM tool on a Dell server.
- Using the HPONCFG tool on a HP server.
- Using the Redfish BMC API.
It is recommended to automate the mounting procedure. To automate the procedure, you need to pull the required images and host them on a local HTTP server.
Prerequisites
- You powered up the host.
- You have network connectivity to the host.
This example procedure uses the Redfish BMC API to mount the RHCOS live ISO.
Mount the RHCOS live ISO:
Check virtual media status:
$ curl --globoff -H "Content-Type: application/json" -H \ "Accept: application/json" -k -X GET --user ${username_password} \ https://$BMC_ADDRESS/redfish/v1/Managers/Self/VirtualMedia/1 | python -m json.toolMount the ISO file as a virtual media:
$ curl --globoff -L -w "%{http_code} %{url_effective}\\n" -ku ${username_password} -H "Content-Type: application/json" -H "Accept: application/json" -d '{"Image": "http://[$HTTPd_IP]/RHCOS-live.iso"}' -X POST https://$BMC_ADDRESS/redfish/v1/Managers/Self/VirtualMedia/1/Actions/VirtualMedia.InsertMediaSet the boot order to boot from the virtual media once:
$ curl --globoff -L -w "%{http_code} %{url_effective}\\n" -ku ${username_password} -H "Content-Type: application/json" -H "Accept: application/json" -d '{"Boot":{ "BootSourceOverrideEnabled": "Once", "BootSourceOverrideTarget": "Cd", "BootSourceOverrideMode": "UEFI"}}' -X PATCH https://$BMC_ADDRESS/redfish/v1/Systems/Self
- Reboot and ensure that the server is booting from virtual media.
14.3. Partitioning the disk Copiar enlaceEnlace copiado en el portapapeles!
To run the full pre-caching process, you have to boot from a live ISO and use the factory-precaching-cli tool from a container image to partition and pre-cache all the artifacts required.
A live ISO or RHCOS live ISO is required because the disk must not be in use when the operating system (RHCOS) is written to the device during the provisioning. Single-disk servers can also be enabled with this procedure.
Prerequisites
- You have a disk that is not partitioned.
-
You have access to the
quay.io/openshift-kni/telco-ran-tools:latestimage. - You have enough storage to install OpenShift Container Platform and pre-cache the required images.
Procedure
Verify that the disk is cleared:
# lsblkExample output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 diskErase any file system, RAID or partition table signatures from the device:
# wipefs -a /dev/nvme0n1Example output
/dev/nvme0n1: 8 bytes were erased at offset 0x00000200 (gpt): 45 46 49 20 50 41 52 54 /dev/nvme0n1: 8 bytes were erased at offset 0x1749a955e00 (gpt): 45 46 49 20 50 41 52 54 /dev/nvme0n1: 2 bytes were erased at offset 0x000001fe (PMBR): 55 aa
The tool fails if the disk is not empty because it uses partition number 1 of the device for pre-caching the artifacts.
14.3.1. Creating the partition Copiar enlaceEnlace copiado en el portapapeles!
Once the device is ready, you create a single partition and a GPT partition table. The partition is automatically labelled as data and created at the end of the device. Otherwise, the partition will be overridden by the coreos-installer.
The coreos-installer requires the partition to be created at the end of the device and to be labelled as data. Both requirements are necessary to save the partition when writing the RHCOS image to the disk.
Prerequisites
-
The container must run as
privilegeddue to formatting host devices. -
You have to mount the
/devfolder so that the process can be executed inside the container.
Procedure
In the following example, the size of the partition is 250 GiB due to allow pre-caching the DU profile for Day 2 Operators.
Run the container as
privilegedand partition the disk:# podman run -v /dev:/dev --privileged \ --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli partition \1 -d /dev/nvme0n1 \2 -s 2503 Check the storage information:
# lsblkExample output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 disk └─nvme0n1p1 259:3 0 250G 0 part
Verification
You must verify that the following requirements are met:
- The device has a GPT partition table
- The partition uses the latest sectors of the device.
-
The partition is correctly labeled as
data.
Query the disk status to verify that the disk is partitioned as expected:
# gdisk -l /dev/nvme0n1
Example output
GPT fdisk (gdisk) version 1.0.3
Partition table scan:
MBR: protective
BSD: not present
APM: not present
GPT: present
Found valid GPT with protective MBR; using GPT.
Disk /dev/nvme0n1: 3125627568 sectors, 1.5 TiB
Model: Dell Express Flash PM1725b 1.6TB SFF
Sector size (logical/physical): 512/512 bytes
Disk identifier (GUID): CB5A9D44-9B3C-4174-A5C1-C64957910B61
Partition table holds up to 128 entries
Main partition table begins at sector 2 and ends at sector 33
First usable sector is 34, last usable sector is 3125627534
Partitions will be aligned on 2048-sector boundaries
Total free space is 2601338846 sectors (1.2 TiB)
Number Start (sector) End (sector) Size Code Name
1 2601338880 3125627534 250.0 GiB 8300 data
14.3.2. Mounting the partition Copiar enlaceEnlace copiado en el portapapeles!
After verifying that the disk is partitioned correctly, you can mount the device into /mnt.
It is recommended to mount the device into /mnt because that mounting point is used during GitOps ZTP preparation.
Verify that the partition is formatted as
xfs:# lsblk -f /dev/nvme0n1Example output
NAME FSTYPE LABEL UUID MOUNTPOINT nvme0n1 └─nvme0n1p1 xfs 1bee8ea4-d6cf-4339-b690-a76594794071Mount the partition:
# mount /dev/nvme0n1p1 /mnt/
Verification
Check that the partition is mounted:
# lsblkExample output
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 93.8G 0 loop /run/ephemeral loop1 7:1 0 897.3M 1 loop /sysroot sr0 11:0 1 999M 0 rom /run/media/iso nvme0n1 259:1 0 1.5T 0 disk └─nvme0n1p1 259:2 0 250G 0 part /var/mnt1 - 1
- The mount point is
/var/mntbecause the/mntfolder in RHCOS is a link to/var/mnt.
14.4. Downloading the images Copiar enlaceEnlace copiado en el portapapeles!
The factory-precaching-cli tool allows you to download the following images to your partitioned server:
- OpenShift Container Platform images
- Operator images that are included in the distributed unit (DU) profile for 5G RAN sites
- Operator images from disconnected registries
The list of available Operator images can vary in different OpenShift Container Platform releases.
14.4.1. Downloading with parallel workers Copiar enlaceEnlace copiado en el portapapeles!
The factory-precaching-cli tool uses parallel workers to download multiple images simultaneously. You can configure the number of workers with the --parallel or -p option. The default number is set to 80% of the available CPUs to the server.
Your login shell may be restricted to a subset of CPUs, which reduces the CPUs available to the container. To remove this restriction, you can precede your commands with taskset 0xffffffff, for example:
# taskset 0xffffffff podman run --rm quay.io/openshift-kni/telco-ran-tools:latest factory-precaching-cli download --help
14.4.2. Preparing to download the OpenShift Container Platform images Copiar enlaceEnlace copiado en el portapapeles!
To download OpenShift Container Platform container images, you need to know the multicluster engine version. When you use the --du-profile flag, you also need to specify the Red Hat Advanced Cluster Management (RHACM) version running in the hub cluster that is going to provision the single-node OpenShift.
Prerequisites
- You have RHACM and the multicluster engine Operator installed.
- You partitioned the storage device.
- You have enough space for the images on the partitioned device.
- You connected the bare-metal server to the Internet.
- You have a valid pull secret.
Procedure
Check the RHACM version and the multicluster engine version by running the following commands in the hub cluster:
$ oc get csv -A | grep -i advanced-cluster-managementExample output
open-cluster-management advanced-cluster-management.v2.6.3 Advanced Cluster Management for Kubernetes 2.6.3 advanced-cluster-management.v2.6.3 Succeeded$ oc get csv -A | grep -i multicluster-engineExample output
multicluster-engine cluster-group-upgrades-operator.v0.0.3 cluster-group-upgrades-operator 0.0.3 Pending multicluster-engine multicluster-engine.v2.1.4 multicluster engine for Kubernetes 2.1.4 multicluster-engine.v2.0.3 Succeeded multicluster-engine openshift-gitops-operator.v1.5.7 Red Hat OpenShift GitOps 1.5.7 openshift-gitops-operator.v1.5.6-0.1664915551.p Succeeded multicluster-engine openshift-pipelines-operator-rh.v1.6.4 Red Hat OpenShift Pipelines 1.6.4 openshift-pipelines-operator-rh.v1.6.3 SucceededTo access the container registry, copy a valid pull secret on the server to be installed:
Create the
.dockerfolder:$ mkdir /root/.dockerCopy the valid pull in the
config.jsonfile to the previously created.docker/folder:$ cp config.json /root/.docker/config.json1 - 1
/root/.docker/config.jsonis the default path wherepodmanchecks for the login credentials for the registry.
If you use a different registry to pull the required artifacts, you need to copy the proper pull secret. If the local registry uses TLS, you need to include the certificates from the registry as well.
14.4.3. Downloading the OpenShift Container Platform images Copiar enlaceEnlace copiado en el portapapeles!
The factory-precaching-cli tool allows you to pre-cache all the container images required to provision a specific OpenShift Container Platform release.
Procedure
Pre-cache the release by running the following command:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools -- \ factory-precaching-cli download \1 -r 4.15.0 \2 --acm-version 2.6.3 \3 --mce-version 2.1.4 \4 -f /mnt \5 --img quay.io/custom/repository6 - 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the multicluster engine version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
Example output
Generated /mnt/imageset.yaml Generating list of pre-cached artifacts... Processing artifact [1/176]: ocp-v4.0-art-dev@sha256_6ac2b96bf4899c01a87366fd0feae9f57b1b61878e3b5823da0c3f34f707fbf5 Processing artifact [2/176]: ocp-v4.0-art-dev@sha256_f48b68d5960ba903a0d018a10544ae08db5802e21c2fa5615a14fc58b1c1657c Processing artifact [3/176]: ocp-v4.0-art-dev@sha256_a480390e91b1c07e10091c3da2257180654f6b2a735a4ad4c3b69dbdb77bbc06 Processing artifact [4/176]: ocp-v4.0-art-dev@sha256_ecc5d8dbd77e326dba6594ff8c2d091eefbc4d90c963a9a85b0b2f0e6155f995 Processing artifact [5/176]: ocp-v4.0-art-dev@sha256_274b6d561558a2f54db08ea96df9892315bb773fc203b1dbcea418d20f4c7ad1 Processing artifact [6/176]: ocp-v4.0-art-dev@sha256_e142bf5020f5ca0d1bdda0026bf97f89b72d21a97c9cc2dc71bf85050e822bbf ... Processing artifact [175/176]: ocp-v4.0-art-dev@sha256_16cd7eda26f0fb0fc965a589e1e96ff8577e560fcd14f06b5fda1643036ed6c8 Processing artifact [176/176]: ocp-v4.0-art-dev@sha256_cf4d862b4a4170d4f611b39d06c31c97658e309724f9788e155999ae51e7188f ... Summary: Release: 4.15.0 Hub Version: 2.6.3 ACM Version: 2.6.3 MCE Version: 2.1.4 Include DU Profile: No Workers: 83
Verification
Check that all the images are compressed in the target folder of server:
$ ls -l /mnt1 - 1
- It is recommended that you pre-cache the images in the
/mntfolder.
Example output
-rw-r--r--. 1 root root 136352323 Oct 31 15:19 ocp-v4.0-art-dev@sha256_edec37e7cd8b1611d0031d45e7958361c65e2005f145b471a8108f1b54316c07.tgz -rw-r--r--. 1 root root 156092894 Oct 31 15:33 ocp-v4.0-art-dev@sha256_ee51b062b9c3c9f4fe77bd5b3cc9a3b12355d040119a1434425a824f137c61a9.tgz -rw-r--r--. 1 root root 172297800 Oct 31 15:29 ocp-v4.0-art-dev@sha256_ef23d9057c367a36e4a5c4877d23ee097a731e1186ed28a26c8d21501cd82718.tgz -rw-r--r--. 1 root root 171539614 Oct 31 15:23 ocp-v4.0-art-dev@sha256_f0497bb63ef6834a619d4208be9da459510df697596b891c0c633da144dbb025.tgz -rw-r--r--. 1 root root 160399150 Oct 31 15:20 ocp-v4.0-art-dev@sha256_f0c339da117cde44c9aae8d0bd054bceb6f19fdb191928f6912a703182330ac2.tgz -rw-r--r--. 1 root root 175962005 Oct 31 15:17 ocp-v4.0-art-dev@sha256_f19dd2e80fb41ef31d62bb8c08b339c50d193fdb10fc39cc15b353cbbfeb9b24.tgz -rw-r--r--. 1 root root 174942008 Oct 31 15:33 ocp-v4.0-art-dev@sha256_f1dbb81fa1aa724e96dd2b296b855ff52a565fbef003d08030d63590ae6454df.tgz -rw-r--r--. 1 root root 246693315 Oct 31 15:31 ocp-v4.0-art-dev@sha256_f44dcf2c94e4fd843cbbf9b11128df2ba856cd813786e42e3da1fdfb0f6ddd01.tgz -rw-r--r--. 1 root root 170148293 Oct 31 15:00 ocp-v4.0-art-dev@sha256_f48b68d5960ba903a0d018a10544ae08db5802e21c2fa5615a14fc58b1c1657c.tgz -rw-r--r--. 1 root root 168899617 Oct 31 15:16 ocp-v4.0-art-dev@sha256_f5099b0989120a8d08a963601214b5c5cb23417a707a8624b7eb52ab788a7f75.tgz -rw-r--r--. 1 root root 176592362 Oct 31 15:05 ocp-v4.0-art-dev@sha256_f68c0e6f5e17b0b0f7ab2d4c39559ea89f900751e64b97cb42311a478338d9c3.tgz -rw-r--r--. 1 root root 157937478 Oct 31 15:37 ocp-v4.0-art-dev@sha256_f7ba33a6a9db9cfc4b0ab0f368569e19b9fa08f4c01a0d5f6a243d61ab781bd8.tgz -rw-r--r--. 1 root root 145535253 Oct 31 15:26 ocp-v4.0-art-dev@sha256_f8f098911d670287826e9499806553f7a1dd3e2b5332abbec740008c36e84de5.tgz -rw-r--r--. 1 root root 158048761 Oct 31 15:40 ocp-v4.0-art-dev@sha256_f914228ddbb99120986262168a705903a9f49724ffa958bb4bf12b2ec1d7fb47.tgz -rw-r--r--. 1 root root 167914526 Oct 31 15:37 ocp-v4.0-art-dev@sha256_fa3ca9401c7a9efda0502240aeb8d3ae2d239d38890454f17fe5158b62305010.tgz -rw-r--r--. 1 root root 164432422 Oct 31 15:24 ocp-v4.0-art-dev@sha256_fc4783b446c70df30b3120685254b40ce13ba6a2b0bf8fb1645f116cf6a392f1.tgz -rw-r--r--. 1 root root 306643814 Oct 31 15:11 troubleshoot@sha256_b86b8aea29a818a9c22944fd18243fa0347c7a2bf1ad8864113ff2bb2d8e0726.tgz
14.4.4. Downloading the Operator images Copiar enlaceEnlace copiado en el portapapeles!
You can also pre-cache Day-2 Operators used in the 5G Radio Access Network (RAN) Distributed Unit (DU) cluster configuration. The Day-2 Operators depend on the installed OpenShift Container Platform version.
You need to include the RHACM hub and multicluster engine Operator versions by using the --acm-version and --mce-version flags so the factory-precaching-cli tool can pre-cache the appropriate containers images for RHACM and the multicluster engine Operator.
Procedure
Pre-cache the Operator images:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download \1 -r 4.15.0 \2 --acm-version 2.6.3 \3 --mce-version 2.1.4 \4 -f /mnt \5 --img quay.io/custom/repository6 --du-profile -s7 - 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the multicluster engine version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
Example output
Generated /mnt/imageset.yaml Generating list of pre-cached artifacts... Processing artifact [1/379]: ocp-v4.0-art-dev@sha256_7753a8d9dd5974be8c90649aadd7c914a3d8a1f1e016774c7ac7c9422e9f9958 Processing artifact [2/379]: ose-kube-rbac-proxy@sha256_c27a7c01e5968aff16b6bb6670423f992d1a1de1a16e7e260d12908d3322431c Processing artifact [3/379]: ocp-v4.0-art-dev@sha256_370e47a14c798ca3f8707a38b28cfc28114f492bb35fe1112e55d1eb51022c99 ... Processing artifact [378/379]: ose-local-storage-operator@sha256_0c81c2b79f79307305e51ce9d3837657cf9ba5866194e464b4d1b299f85034d0 Processing artifact [379/379]: multicluster-operators-channel-rhel8@sha256_c10f6bbb84fe36e05816e873a72188018856ad6aac6cc16271a1b3966f73ceb3 ... Summary: Release: 4.15.0 Hub Version: 2.6.3 ACM Version: 2.6.3 MCE Version: 2.1.4 Include DU Profile: Yes Workers: 83
14.4.5. Pre-caching custom images in disconnected environments Copiar enlaceEnlace copiado en el portapapeles!
The --generate-imageset argument stops the factory-precaching-cli tool after the ImageSetConfiguration custom resource (CR) is generated. This allows you to customize the ImageSetConfiguration CR before downloading any images. After you customized the CR, you can use the --skip-imageset argument to download the images that you specified in the ImageSetConfiguration CR.
You can customize the ImageSetConfiguration CR in the following ways:
- Add Operators and additional images
- Remove Operators and additional images
- Change Operator and catalog sources to local or disconnected registries
Procedure
Pre-cache the images:
# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download \1 -r 4.15.0 \2 --acm-version 2.6.3 \3 --mce-version 2.1.4 \4 -f /mnt \5 --img quay.io/custom/repository6 --du-profile -s \7 --generate-imageset8 - 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the multicluster engine version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
- 8
- The
--generate-imagesetargument generates theImageSetConfigurationCR only, which allows you to customize the CR.
Example output
Generated /mnt/imageset.yamlExample ImageSetConfiguration CR
apiVersion: mirror.openshift.io/v1alpha2 kind: ImageSetConfiguration mirror: platform: channels: - name: stable-4.15 minVersion: 4.15.01 maxVersion: 4.15.0 additionalImages: - name: quay.io/custom/repository operators: - catalog: registry.redhat.io/redhat/redhat-operator-index:v4.15 packages: - name: advanced-cluster-management2 channels: - name: 'release-2.6' minVersion: 2.6.3 maxVersion: 2.6.3 - name: multicluster-engine3 channels: - name: 'stable-2.1' minVersion: 2.1.4 maxVersion: 2.1.4 - name: local-storage-operator4 channels: - name: 'stable' - name: ptp-operator5 channels: - name: 'stable' - name: sriov-network-operator6 channels: - name: 'stable' - name: cluster-logging7 channels: - name: 'stable' - name: lvms-operator8 channels: - name: 'stable-4.15' - name: amq7-interconnect-operator9 channels: - name: '1.10.x' - name: bare-metal-event-relay10 channels: - name: 'stable' - catalog: registry.redhat.io/redhat/certified-operator-index:v4.15 packages: - name: sriov-fec11 channels: - name: 'stable'Customize the catalog resource in the CR:
apiVersion: mirror.openshift.io/v1alpha2 kind: ImageSetConfiguration mirror: platform: [...] operators: - catalog: eko4.cloud.lab.eng.bos.redhat.com:8443/redhat/certified-operator-index:v4.15 packages: - name: sriov-fec channels: - name: 'stable'When you download images by using a local or disconnected registry, you have to first add certificates for the registries that you want to pull the content from.
To avoid any errors, copy the registry certificate into your server:
# cp /tmp/eko4-ca.crt /etc/pki/ca-trust/source/anchors/.Then, update the certificates trust store:
# update-ca-trustMount the host
/etc/pkifolder into the factory-cli image:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker -v /etc/pki:/etc/pki --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli download \1 -r 4.15.0 \2 --acm-version 2.6.3 \3 --mce-version 2.1.4 \4 -f /mnt \5 --img quay.io/custom/repository6 --du-profile -s \7 --skip-imageset8 - 1
- Specifies the downloading function of the factory-precaching-cli tool.
- 2
- Defines the OpenShift Container Platform release version.
- 3
- Defines the RHACM version.
- 4
- Defines the multicluster engine version.
- 5
- Defines the folder where you want to download the images on the disk.
- 6
- Optional. Defines the repository where you store your additional images. These images are downloaded and pre-cached on the disk.
- 7
- Specifies pre-caching the Operators included in the DU configuration.
- 8
- The
--skip-imagesetargument allows you to download the images that you specified in your customizedImageSetConfigurationCR.
Download the images without generating a new
imageSetConfigurationCR:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker --privileged --rm quay.io/openshift-kni/telco-ran-tools:latest -- factory-precaching-cli download -r 4.15.0 \ --acm-version 2.6.3 --mce-version 2.1.4 -f /mnt \ --img quay.io/custom/repository \ --du-profile -s \ --skip-imageset
14.5. Pre-caching images in GitOps ZTP Copiar enlaceEnlace copiado en el portapapeles!
The SiteConfig manifest defines how an OpenShift cluster is to be installed and configured. In the GitOps Zero Touch Provisioning (ZTP) provisioning workflow, the factory-precaching-cli tool requires the following additional fields in the SiteConfig manifest:
-
clusters.ignitionConfigOverride -
nodes.installerArgs -
nodes.ignitionConfigOverride
Example SiteConfig with additional fields
apiVersion: ran.openshift.io/v1
kind: SiteConfig
metadata:
name: "example-5g-lab"
namespace: "example-5g-lab"
spec:
baseDomain: "example.domain.redhat.com"
pullSecretRef:
name: "assisted-deployment-pull-secret"
clusterImageSetNameRef: "img4.9.10-x86-64-appsub"
sshPublicKey: "ssh-rsa ..."
clusters:
- clusterName: "sno-worker-0"
clusterImageSetNameRef: "eko4-img4.11.5-x86-64-appsub"
clusterLabels:
group-du-sno: ""
common-411: true
sites : "example-5g-lab"
vendor: "OpenShift"
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
machineNetwork:
- cidr: 10.19.32.192/26
serviceNetwork:
- 172.30.0.0/16
networkType: "OVNKubernetes"
additionalNTPSources:
- clock.corp.redhat.com
ignitionConfigOverride:
'{
"ignition": {
"version": "3.1.0"
},
"systemd": {
"units": [
{
"name": "var-mnt.mount",
"enabled": true,
"contents": "[Unit]\nDescription=Mount partition with artifacts\nBefore=precache-images.service\nBindsTo=precache-images.service\nStopWhenUnneeded=true\n\n[Mount]\nWhat=/dev/disk/by-partlabel/data\nWhere=/var/mnt\nType=xfs\nTimeoutSec=30\n\n[Install]\nRequiredBy=precache-images.service"
},
{
"name": "precache-images.service",
"enabled": true,
"contents": "[Unit]\nDescription=Extracts the precached images in discovery stage\nAfter=var-mnt.mount\nBefore=agent.service\n\n[Service]\nType=oneshot\nUser=root\nWorkingDirectory=/var/mnt\nExecStart=bash /usr/local/bin/extract-ai.sh\n#TimeoutStopSec=30\n\n[Install]\nWantedBy=multi-user.target default.target\nWantedBy=agent.service"
}
]
},
"storage": {
"files": [
{
"overwrite": true,
"path": "/usr/local/bin/extract-ai.sh",
"mode": 755,
"user": {
"name": "root"
},
"contents": {
"source": "data:,%23%21%2Fbin%2Fbash%0A%0AFOLDER%3D%22%24%7BFOLDER%3A-%24%28pwd%29%7D%22%0AOCP_RELEASE_LIST%3D%22%24%7BOCP_RELEASE_LIST%3A-ai-images.txt%7D%22%0ABINARY_FOLDER%3D%2Fvar%2Fmnt%0A%0Apushd%20%24FOLDER%0A%0Atotal_copies%3D%24%28sort%20-u%20%24BINARY_FOLDER%2F%24OCP_RELEASE_LIST%20%7C%20wc%20-l%29%20%20%23%20Required%20to%20keep%20track%20of%20the%20pull%20task%20vs%20total%0Acurrent_copy%3D1%0A%0Awhile%20read%20-r%20line%3B%0Ado%0A%20%20uri%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%241%7D%27%29%0A%20%20%23tar%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%242%7D%27%29%0A%20%20podman%20image%20exists%20%24uri%0A%20%20if%20%5B%5B%20%24%3F%20-eq%200%20%5D%5D%3B%20then%0A%20%20%20%20%20%20echo%20%22Skipping%20existing%20image%20%24tar%22%0A%20%20%20%20%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20%20%20%20%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%0A%20%20%20%20%20%20continue%0A%20%20fi%0A%20%20tar%3D%24%28echo%20%22%24uri%22%20%7C%20%20rev%20%7C%20cut%20-d%20%22%2F%22%20-f1%20%7C%20rev%20%7C%20tr%20%22%3A%22%20%22_%22%29%0A%20%20tar%20zxvf%20%24%7Btar%7D.tgz%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-f%20%24%7Btar%7D.gz%3B%20fi%0A%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20skopeo%20copy%20dir%3A%2F%2F%24%28pwd%29%2F%24%7Btar%7D%20containers-storage%3A%24%7Buri%7D%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-rf%20%24%7Btar%7D%3B%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%3B%20fi%0Adone%20%3C%20%24%7BBINARY_FOLDER%7D%2F%24%7BOCP_RELEASE_LIST%7D%0A%0A%23%20workaround%20while%20https%3A%2F%2Fgithub.com%2Fopenshift%2Fassisted-service%2Fpull%2F3546%0A%23cp%20%2Fvar%2Fmnt%2Fmodified-rhcos-4.10.3-x86_64-metal.x86_64.raw.gz%20%2Fvar%2Ftmp%2F.%0A%0Aexit%200"
}
},
{
"overwrite": true,
"path": "/usr/local/bin/agent-fix-bz1964591",
"mode": 755,
"user": {
"name": "root"
},
"contents": {
"source": "data:,%23%21%2Fusr%2Fbin%2Fsh%0A%0A%23%20This%20script%20is%20a%20workaround%20for%20bugzilla%201964591%20where%20symlinks%20inside%20%2Fvar%2Flib%2Fcontainers%2F%20get%0A%23%20corrupted%20under%20some%20circumstances.%0A%23%0A%23%20In%20order%20to%20let%20agent.service%20start%20correctly%20we%20are%20checking%20here%20whether%20the%20requested%0A%23%20container%20image%20exists%20and%20in%20case%20%22podman%20images%22%20returns%20an%20error%20we%20try%20removing%20the%20faulty%0A%23%20image.%0A%23%0A%23%20In%20such%20a%20scenario%20agent.service%20will%20detect%20the%20image%20is%20not%20present%20and%20pull%20it%20again.%20In%20case%0A%23%20the%20image%20is%20present%20and%20can%20be%20detected%20correctly%2C%20no%20any%20action%20is%20required.%0A%0AIMAGE%3D%24%28echo%20%241%20%7C%20sed%20%27s%2F%3A.%2A%2F%2F%27%29%0Apodman%20image%20exists%20%24IMAGE%20%7C%7C%20echo%20%22already%20loaded%22%20%7C%7C%20echo%20%22need%20to%20be%20pulled%22%0A%23podman%20images%20%7C%20grep%20%24IMAGE%20%7C%7C%20podman%20rmi%20--force%20%241%20%7C%7C%20true"
}
}
]
}
}'
nodes:
- hostName: "snonode.sno-worker-0.example.domain.redhat.com"
role: "master"
bmcAddress: "idrac-virtualmedia+https://10.19.28.53/redfish/v1/Systems/System.Embedded.1"
bmcCredentialsName:
name: "worker0-bmh-secret"
bootMACAddress: "e4:43:4b:bd:90:46"
bootMode: "UEFI"
rootDeviceHints:
deviceName: /dev/disk/by-path/pci-0000:01:00.0-scsi-0:2:0:0
installerArgs: '["--save-partlabel", "data"]'
ignitionConfigOverride: |
{
"ignition": {
"version": "3.1.0"
},
"systemd": {
"units": [
{
"name": "var-mnt.mount",
"enabled": true,
"contents": "[Unit]\nDescription=Mount partition with artifacts\nBefore=precache-ocp-images.service\nBindsTo=precache-ocp-images.service\nStopWhenUnneeded=true\n\n[Mount]\nWhat=/dev/disk/by-partlabel/data\nWhere=/var/mnt\nType=xfs\nTimeoutSec=30\n\n[Install]\nRequiredBy=precache-ocp-images.service"
},
{
"name": "precache-ocp-images.service",
"enabled": true,
"contents": "[Unit]\nDescription=Extracts the precached OCP images into containers storage\nAfter=var-mnt.mount\nBefore=machine-config-daemon-pull.service nodeip-configuration.service\n\n[Service]\nType=oneshot\nUser=root\nWorkingDirectory=/var/mnt\nExecStart=bash /usr/local/bin/extract-ocp.sh\nTimeoutStopSec=60\n\n[Install]\nWantedBy=multi-user.target"
}
]
},
"storage": {
"files": [
{
"overwrite": true,
"path": "/usr/local/bin/extract-ocp.sh",
"mode": 755,
"user": {
"name": "root"
},
"contents": {
"source": "data:,%23%21%2Fbin%2Fbash%0A%0AFOLDER%3D%22%24%7BFOLDER%3A-%24%28pwd%29%7D%22%0AOCP_RELEASE_LIST%3D%22%24%7BOCP_RELEASE_LIST%3A-ocp-images.txt%7D%22%0ABINARY_FOLDER%3D%2Fvar%2Fmnt%0A%0Apushd%20%24FOLDER%0A%0Atotal_copies%3D%24%28sort%20-u%20%24BINARY_FOLDER%2F%24OCP_RELEASE_LIST%20%7C%20wc%20-l%29%20%20%23%20Required%20to%20keep%20track%20of%20the%20pull%20task%20vs%20total%0Acurrent_copy%3D1%0A%0Awhile%20read%20-r%20line%3B%0Ado%0A%20%20uri%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%241%7D%27%29%0A%20%20%23tar%3D%24%28echo%20%22%24line%22%20%7C%20awk%20%27%7Bprint%242%7D%27%29%0A%20%20podman%20image%20exists%20%24uri%0A%20%20if%20%5B%5B%20%24%3F%20-eq%200%20%5D%5D%3B%20then%0A%20%20%20%20%20%20echo%20%22Skipping%20existing%20image%20%24tar%22%0A%20%20%20%20%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20%20%20%20%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%0A%20%20%20%20%20%20continue%0A%20%20fi%0A%20%20tar%3D%24%28echo%20%22%24uri%22%20%7C%20%20rev%20%7C%20cut%20-d%20%22%2F%22%20-f1%20%7C%20rev%20%7C%20tr%20%22%3A%22%20%22_%22%29%0A%20%20tar%20zxvf%20%24%7Btar%7D.tgz%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-f%20%24%7Btar%7D.gz%3B%20fi%0A%20%20echo%20%22Copying%20%24%7Buri%7D%20%5B%24%7Bcurrent_copy%7D%2F%24%7Btotal_copies%7D%5D%22%0A%20%20skopeo%20copy%20dir%3A%2F%2F%24%28pwd%29%2F%24%7Btar%7D%20containers-storage%3A%24%7Buri%7D%0A%20%20if%20%5B%20%24%3F%20-eq%200%20%5D%3B%20then%20rm%20-rf%20%24%7Btar%7D%3B%20current_copy%3D%24%28%28current_copy%20%2B%201%29%29%3B%20fi%0Adone%20%3C%20%24%7BBINARY_FOLDER%7D%2F%24%7BOCP_RELEASE_LIST%7D%0A%0Aexit%200"
}
}
]
}
}
nodeNetwork:
config:
interfaces:
- name: ens1f0
type: ethernet
state: up
macAddress: "AA:BB:CC:11:22:33"
ipv4:
enabled: true
dhcp: true
ipv6:
enabled: false
interfaces:
- name: "ens1f0"
macAddress: "AA:BB:CC:11:22:33"
14.5.1. Understanding the clusters.ignitionConfigOverride field Copiar enlaceEnlace copiado en el portapapeles!
The clusters.ignitionConfigOverride field adds a configuration in Ignition format during the GitOps ZTP discovery stage. The configuration includes systemd services in the ISO mounted in virtual media. This way, the scripts are part of the discovery RHCOS live ISO and they can be used to load the Assisted Installer (AI) images.
systemdservices-
The
systemdservices arevar-mnt.mountandprecache-images.services. Theprecache-images.servicedepends on the disk partition to be mounted in/var/mntby thevar-mnt.mountunit. The service calls a script calledextract-ai.sh. extract-ai.sh-
The
extract-ai.shscript extracts and loads the required images from the disk partition to the local container storage. When the script finishes successfully, you can use the images locally. agent-fix-bz1964591-
The
agent-fix-bz1964591script is a workaround for an AI issue. To prevent AI from removing the images, which can force theagent.serviceto pull the images again from the registry, theagent-fix-bz1964591script checks if the requested container images exist.
14.5.2. Understanding the nodes.installerArgs field Copiar enlaceEnlace copiado en el portapapeles!
The nodes.installerArgs field allows you to configure how the coreos-installer utility writes the RHCOS live ISO to disk. You need to indicate to save the disk partition labeled as data because the artifacts saved in the data partition are needed during the OpenShift Container Platform installation stage.
The extra parameters are passed directly to the coreos-installer utility that writes the live RHCOS to disk. On the next reboot, the operating system starts from the disk.
You can pass several options to the coreos-installer utility:
OPTIONS:
...
-u, --image-url <URL>
Manually specify the image URL
-f, --image-file <path>
Manually specify a local image file
-i, --ignition-file <path>
Embed an Ignition config from a file
-I, --ignition-url <URL>
Embed an Ignition config from a URL
...
--save-partlabel <lx>...
Save partitions with this label glob
--save-partindex <id>...
Save partitions with this number or range
...
--insecure-ignition
Allow Ignition URL without HTTPS or hash
14.5.3. Understanding the nodes.ignitionConfigOverride field Copiar enlaceEnlace copiado en el portapapeles!
Similarly to clusters.ignitionConfigOverride, the nodes.ignitionConfigOverride field allows the addition of configurations in Ignition format to the coreos-installer utility, but at the OpenShift Container Platform installation stage. When the RHCOS is written to disk, the extra configuration included in the GitOps ZTP discovery ISO is no longer available. During the discovery stage, the extra configuration is stored in the memory of the live OS.
At this stage, the number of container images extracted and loaded is bigger than in the discovery stage. Depending on the OpenShift Container Platform release and whether you install the Day-2 Operators, the installation time can vary.
At the installation stage, the var-mnt.mount and precache-ocp.services systemd services are used.
precache-ocp.serviceThe
precache-ocp.servicedepends on the disk partition to be mounted in/var/mntby thevar-mnt.mountunit. Theprecache-ocp.serviceservice calls a script calledextract-ocp.sh.ImportantTo extract all the images before the OpenShift Container Platform installation, you must execute
precache-ocp.servicebefore executing themachine-config-daemon-pull.serviceandnodeip-configuration.serviceservices.extract-ocp.sh-
The
extract-ocp.shscript extracts and loads the required images from the disk partition to the local container storage. When the script finishes successfully, you can use the images locally.
When you upload the SiteConfig and the optional PolicyGenTemplates custom resources (CRs) to the Git repo, which Argo CD is monitoring, you can start the GitOps ZTP workflow by syncing the CRs with the hub cluster.
14.6. Troubleshooting Copiar enlaceEnlace copiado en el portapapeles!
14.6.1. Rendered catalog is invalid Copiar enlaceEnlace copiado en el portapapeles!
When you download images by using a local or disconnected registry, you might see the The rendered catalog is invalid error. This means that you are missing certificates of the new registry you want to pull content from.
The factory-precaching-cli tool image is built on a UBI RHEL image. Certificate paths and locations are the same on RHCOS.
Example error
Generating list of pre-cached artifacts...
error: unable to run command oc-mirror -c /mnt/imageset.yaml file:///tmp/fp-cli-3218002584/mirror --ignore-history --dry-run: Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/publish
Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/v2
Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/charts
Creating directory: /tmp/fp-cli-3218002584/mirror/oc-mirror-workspace/src/release-signatures
backend is not configured in /mnt/imageset.yaml, using stateless mode
backend is not configured in /mnt/imageset.yaml, using stateless mode
No metadata detected, creating new workspace
level=info msg=trying next host error=failed to do request: Head "https://eko4.cloud.lab.eng.bos.redhat.com:8443/v2/redhat/redhat-operator-index/manifests/v4.11": x509: certificate signed by unknown authority host=eko4.cloud.lab.eng.bos.redhat.com:8443
The rendered catalog is invalid.
Run "oc-mirror list operators --catalog CATALOG-NAME --package PACKAGE-NAME" for more information.
error: error rendering new refs: render reference "eko4.cloud.lab.eng.bos.redhat.com:8443/redhat/redhat-operator-index:v4.11": error resolving name : failed to do request: Head "https://eko4.cloud.lab.eng.bos.redhat.com:8443/v2/redhat/redhat-operator-index/manifests/v4.11": x509: certificate signed by unknown authority
Procedure
Copy the registry certificate into your server:
# cp /tmp/eko4-ca.crt /etc/pki/ca-trust/source/anchors/.Update the certificates truststore:
# update-ca-trustMount the host
/etc/pkifolder into the factory-cli image:# podman run -v /mnt:/mnt -v /root/.docker:/root/.docker -v /etc/pki:/etc/pki --privileged -it --rm quay.io/openshift-kni/telco-ran-tools:latest -- \ factory-precaching-cli download -r 4.15.0 --acm-version 2.5.4 \ --mce-version 2.0.4 -f /mnt \--img quay.io/custom/repository --du-profile -s --skip-imageset
Legal Notice
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Copyright © Red Hat
OpenShift documentation is licensed under the Apache License 2.0 (https://www.apache.org/licenses/LICENSE-2.0).
Modified versions must remove all Red Hat trademarks.
Portions adapted from https://github.com/kubernetes-incubator/service-catalog/ with modifications by Red Hat.
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