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Chapter 4. Configuring multi-architecture compute machines on an OpenShift cluster
4.1. About clusters with multi-architecture compute machines
An OpenShift Container Platform cluster with multi-architecture compute machines is a cluster that supports compute machines with different architectures.
When there are nodes with multiple architectures in your cluster, the architecture of your image must be consistent with the architecture of the node. You need to ensure that the pod is assigned to the node with the appropriate architecture and that it matches the image architecture. For more information on assigning pods to nodes, see Assigning pods to nodes.
The Cluster Samples Operator is not supported on clusters with multi-architecture compute machines. Your cluster can be created without this capability. For more information, see Cluster capabilities.
For information on migrating your single-architecture cluster to a cluster that supports multi-architecture compute machines, see Migrating to a cluster with multi-architecture compute machines.
4.1.1. Configuring your cluster with multi-architecture compute machines
To create a cluster with multi-architecture compute machines with different installation options and platforms, you can use the documentation in the following table:
Documentation section | Platform | User-provisioned installation | Installer-provisioned installation | Control Plane | Compute node |
---|---|---|---|---|---|
Creating a cluster with multi-architecture compute machines on Azure | Microsoft Azure | ✓ |
|
| |
Creating a cluster with multi-architecture compute machines on AWS | Amazon Web Services (AWS) | ✓ |
|
| |
Creating a cluster with multi-architecture compute machines on GCP | Google Cloud Platform (GCP) | ✓ |
|
| |
Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z | Bare metal | ✓ |
|
| |
IBM Power | ✓ |
|
| ||
IBM Z | ✓ |
|
| ||
Creating a cluster with multi-architecture compute machines on IBM Z® and IBM® LinuxONE with z/VM | IBM Z® and IBM® LinuxONE | ✓ |
|
| |
IBM Z® and IBM® LinuxONE | ✓ |
|
| ||
Creating a cluster with multi-architecture compute machines on IBM Power® | IBM Power® | ✓ |
|
|
Autoscaling from zero is currently not supported on Google Cloud Platform (GCP).
4.2. Creating a cluster with multi-architecture compute machine on Azure
To deploy an Azure cluster with multi-architecture compute machines, you must first create a single-architecture Azure installer-provisioned cluster that uses the multi-architecture installer binary. For more information on Azure installations, see Installing a cluster on Azure with customizations.
You can also migrate your current cluster with single-architecture compute machines to a cluster with multi-architecture compute machines. For more information, see Migrating to a cluster with multi-architecture compute machines.
After creating a multi-architecture cluster, you can add nodes with different architectures to the cluster.
4.2.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.2.2. Creating a 64-bit ARM boot image using the Azure image gallery
The following procedure describes how to manually generate a 64-bit ARM boot image.
Prerequisites
-
You installed the Azure CLI (
az
). - You created a single-architecture Azure installer-provisioned cluster with the multi-architecture installer binary.
Procedure
Log in to your Azure account:
$ az login
Create a storage account and upload the
aarch64
virtual hard disk (VHD) to your storage account. The OpenShift Container Platform installation program creates a resource group, however, the boot image can also be uploaded to a custom named resource group:$ az storage account create -n ${STORAGE_ACCOUNT_NAME} -g ${RESOURCE_GROUP} -l westus --sku Standard_LRS 1
- 1
- The
westus
object is an example region.
Create a storage container using the storage account you generated:
$ az storage container create -n ${CONTAINER_NAME} --account-name ${STORAGE_ACCOUNT_NAME}
You must use the OpenShift Container Platform installation program JSON file to extract the URL and
aarch64
VHD name:Extract the
URL
field and set it toRHCOS_VHD_ORIGIN_URL
as the file name by running the following command:$ RHCOS_VHD_ORIGIN_URL=$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.aarch64."rhel-coreos-extensions"."azure-disk".url')
Extract the
aarch64
VHD name and set it toBLOB_NAME
as the file name by running the following command:$ BLOB_NAME=rhcos-$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.aarch64."rhel-coreos-extensions"."azure-disk".release')-azure.aarch64.vhd
Generate a shared access signature (SAS) token. Use this token to upload the RHCOS VHD to your storage container with the following commands:
$ end=`date -u -d "30 minutes" '+%Y-%m-%dT%H:%MZ'`
$ sas=`az storage container generate-sas -n ${CONTAINER_NAME} --account-name ${STORAGE_ACCOUNT_NAME} --https-only --permissions dlrw --expiry $end -o tsv`
Copy the RHCOS VHD into the storage container:
$ az storage blob copy start --account-name ${STORAGE_ACCOUNT_NAME} --sas-token "$sas" \ --source-uri "${RHCOS_VHD_ORIGIN_URL}" \ --destination-blob "${BLOB_NAME}" --destination-container ${CONTAINER_NAME}
You can check the status of the copying process with the following command:
$ az storage blob show -c ${CONTAINER_NAME} -n ${BLOB_NAME} --account-name ${STORAGE_ACCOUNT_NAME} | jq .properties.copy
Example output
{ "completionTime": null, "destinationSnapshot": null, "id": "1fd97630-03ca-489a-8c4e-cfe839c9627d", "incrementalCopy": null, "progress": "17179869696/17179869696", "source": "https://rhcos.blob.core.windows.net/imagebucket/rhcos-411.86.202207130959-0-azure.aarch64.vhd", "status": "success", 1 "statusDescription": null }
- 1
- If the status parameter displays the
success
object, the copying process is complete.
Create an image gallery using the following command:
$ az sig create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME}
Use the image gallery to create an image definition. In the following example command,
rhcos-arm64
is the name of the image definition.$ az sig image-definition create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME} --gallery-image-definition rhcos-arm64 --publisher RedHat --offer arm --sku arm64 --os-type linux --architecture Arm64 --hyper-v-generation V2
To get the URL of the VHD and set it to
RHCOS_VHD_URL
as the file name, run the following command:$ RHCOS_VHD_URL=$(az storage blob url --account-name ${STORAGE_ACCOUNT_NAME} -c ${CONTAINER_NAME} -n "${BLOB_NAME}" -o tsv)
Use the
RHCOS_VHD_URL
file, your storage account, resource group, and image gallery to create an image version. In the following example,1.0.0
is the image version.$ az sig image-version create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME} --gallery-image-definition rhcos-arm64 --gallery-image-version 1.0.0 --os-vhd-storage-account ${STORAGE_ACCOUNT_NAME} --os-vhd-uri ${RHCOS_VHD_URL}
Your
arm64
boot image is now generated. You can access the ID of your image with the following command:$ az sig image-version show -r $GALLERY_NAME -g $RESOURCE_GROUP -i rhcos-arm64 -e 1.0.0
The following example image ID is used in the
recourseID
parameter of the compute machine set:Example
resourceID
/resourceGroups/${RESOURCE_GROUP}/providers/Microsoft.Compute/galleries/${GALLERY_NAME}/images/rhcos-arm64/versions/1.0.0
4.2.3. Creating a 64-bit x86 boot image using the Azure image gallery
The following procedure describes how to manually generate a 64-bit x86 boot image.
Prerequisites
-
You installed the Azure CLI (
az
). - You created a single-architecture Azure installer-provisioned cluster with the multi-architecture installer binary.
Procedure
Log in to your Azure account by running the following command:
$ az login
Create a storage account and upload the
x86_64
virtual hard disk (VHD) to your storage account by running the following command. The OpenShift Container Platform installation program creates a resource group. However, the boot image can also be uploaded to a custom named resource group:$ az storage account create -n ${STORAGE_ACCOUNT_NAME} -g ${RESOURCE_GROUP} -l westus --sku Standard_LRS 1
- 1
- The
westus
object is an example region.
Create a storage container using the storage account you generated by running the following command:
$ az storage container create -n ${CONTAINER_NAME} --account-name ${STORAGE_ACCOUNT_NAME}
Use the OpenShift Container Platform installation program JSON file to extract the URL and
x86_64
VHD name:Extract the
URL
field and set it toRHCOS_VHD_ORIGIN_URL
as the file name by running the following command:$ RHCOS_VHD_ORIGIN_URL=$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.x86_64."rhel-coreos-extensions"."azure-disk".url')
Extract the
x86_64
VHD name and set it toBLOB_NAME
as the file name by running the following command:$ BLOB_NAME=rhcos-$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.x86_64."rhel-coreos-extensions"."azure-disk".release')-azure.x86_64.vhd
Generate a shared access signature (SAS) token. Use this token to upload the RHCOS VHD to your storage container by running the following commands:
$ end=`date -u -d "30 minutes" '+%Y-%m-%dT%H:%MZ'`
$ sas=`az storage container generate-sas -n ${CONTAINER_NAME} --account-name ${STORAGE_ACCOUNT_NAME} --https-only --permissions dlrw --expiry $end -o tsv`
Copy the RHCOS VHD into the storage container by running the following command:
$ az storage blob copy start --account-name ${STORAGE_ACCOUNT_NAME} --sas-token "$sas" \ --source-uri "${RHCOS_VHD_ORIGIN_URL}" \ --destination-blob "${BLOB_NAME}" --destination-container ${CONTAINER_NAME}
You can check the status of the copying process by running the following command:
$ az storage blob show -c ${CONTAINER_NAME} -n ${BLOB_NAME} --account-name ${STORAGE_ACCOUNT_NAME} | jq .properties.copy
Example output
{ "completionTime": null, "destinationSnapshot": null, "id": "1fd97630-03ca-489a-8c4e-cfe839c9627d", "incrementalCopy": null, "progress": "17179869696/17179869696", "source": "https://rhcos.blob.core.windows.net/imagebucket/rhcos-411.86.202207130959-0-azure.aarch64.vhd", "status": "success", 1 "statusDescription": null }
- 1
- If the
status
parameter displays thesuccess
object, the copying process is complete.
Create an image gallery by running the following command:
$ az sig create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME}
Use the image gallery to create an image definition by running the following command:
$ az sig image-definition create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME} --gallery-image-definition rhcos-x86_64 --publisher RedHat --offer x86_64 --sku x86_64 --os-type linux --architecture x64 --hyper-v-generation V2
In this example command,
rhcos-x86_64
is the name of the image definition.To get the URL of the VHD and set it to
RHCOS_VHD_URL
as the file name, run the following command:$ RHCOS_VHD_URL=$(az storage blob url --account-name ${STORAGE_ACCOUNT_NAME} -c ${CONTAINER_NAME} -n "${BLOB_NAME}" -o tsv)
Use the
RHCOS_VHD_URL
file, your storage account, resource group, and image gallery to create an image version by running the following command:$ az sig image-version create --resource-group ${RESOURCE_GROUP} --gallery-name ${GALLERY_NAME} --gallery-image-definition rhcos-arm64 --gallery-image-version 1.0.0 --os-vhd-storage-account ${STORAGE_ACCOUNT_NAME} --os-vhd-uri ${RHCOS_VHD_URL}
In this example,
1.0.0
is the image version.Optional: Access the ID of the generated
x86_64
boot image by running the following command:$ az sig image-version show -r $GALLERY_NAME -g $RESOURCE_GROUP -i rhcos-x86_64 -e 1.0.0
The following example image ID is used in the
recourseID
parameter of the compute machine set:Example
resourceID
/resourceGroups/${RESOURCE_GROUP}/providers/Microsoft.Compute/galleries/${GALLERY_NAME}/images/rhcos-x86_64/versions/1.0.0
4.2.4. Adding a multi-architecture compute machine set to your Azure cluster
After creating a multi-architecture cluster, you can add nodes with different architectures.
You can add multi-architecture compute machines to a multi-architecture cluster in the following ways:
- Adding 64-bit x86 compute machines to a cluster that uses 64-bit ARM control plane machines and already includes 64-bit ARM compute machines. In this case, 64-bit x86 is considered the secondary architecture.
- Adding 64-bit ARM compute machines to a cluster that uses 64-bit x86 control plane machines and already includes 64-bit x86 compute machines. In this case, 64-bit ARM is considered the secondary architecture.
To create a custom compute machine set on Azure, see "Creating a compute machine set on Azure".
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
custom resource. For more information, see "Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator".
Prerequisites
-
You installed the OpenShift CLI (
oc
). - You created a 64-bit ARM or 64-bit x86 boot image.
- You used the installation program to create a 64-bit ARM or 64-bit x86 single-architecture Azure cluster with the multi-architecture installer binary.
Procedure
-
Log in to the OpenShift CLI (
oc
). Create a YAML file, and add the configuration to create a compute machine set to control the 64-bit ARM or 64-bit x86 compute nodes in your cluster.
Example
MachineSet
object for an Azure 64-bit ARM or 64-bit x86 compute nodeapiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machine-role: worker machine.openshift.io/cluster-api-machine-type: worker name: <infrastructure_id>-machine-set-0 namespace: openshift-machine-api spec: replicas: 2 selector: matchLabels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machineset: <infrastructure_id>-machine-set-0 template: metadata: labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machine-role: worker machine.openshift.io/cluster-api-machine-type: worker machine.openshift.io/cluster-api-machineset: <infrastructure_id>-machine-set-0 spec: lifecycleHooks: {} metadata: {} providerSpec: value: acceleratedNetworking: true apiVersion: machine.openshift.io/v1beta1 credentialsSecret: name: azure-cloud-credentials namespace: openshift-machine-api image: offer: "" publisher: "" resourceID: /resourceGroups/${RESOURCE_GROUP}/providers/Microsoft.Compute/galleries/${GALLERY_NAME}/images/rhcos-arm64/versions/1.0.0 1 sku: "" version: "" kind: AzureMachineProviderSpec location: <region> managedIdentity: <infrastructure_id>-identity networkResourceGroup: <infrastructure_id>-rg osDisk: diskSettings: {} diskSizeGB: 128 managedDisk: storageAccountType: Premium_LRS osType: Linux publicIP: false publicLoadBalancer: <infrastructure_id> resourceGroup: <infrastructure_id>-rg subnet: <infrastructure_id>-worker-subnet userDataSecret: name: worker-user-data vmSize: Standard_D4ps_v5 2 vnet: <infrastructure_id>-vnet zone: "<zone>"
Create the compute machine set by running the following command:
$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of the YAML file with compute machine set configuration. For example:arm64-machine-set-0.yaml
, oramd64-machine-set-0.yaml
.
Verification
Verify that the new machines are running by running the following command:
$ oc get machineset -n openshift-machine-api
The output must include the machine set that you created.
Example output
NAME DESIRED CURRENT READY AVAILABLE AGE <infrastructure_id>-machine-set-0 2 2 2 2 10m
You can check if the nodes are ready and schedulable by running the following command:
$ oc get nodes
4.3. Creating a cluster with multi-architecture compute machines on AWS
To create an AWS cluster with multi-architecture compute machines, you must first create a single-architecture AWS installer-provisioned cluster with the multi-architecture installer binary. For more information on AWS installations, see Installing a cluster on AWS with customizations.
You can also migrate your current cluster with single-architecture compute machines to a cluster with multi-architecture compute machines. For more information, see Migrating to a cluster with multi-architecture compute machines.
After creating a multi-architecture cluster, you can add nodes with different architectures to the cluster.
4.3.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.3.2. Adding a multi-architecture compute machine set to your AWS cluster
After creating a multi-architecture cluster, you can add nodes with different architectures.
You can add multi-architecture compute machines to a multi-architecture cluster in the following ways:
- Adding 64-bit x86 compute machines to a cluster that uses 64-bit ARM control plane machines and already includes 64-bit ARM compute machines. In this case, 64-bit x86 is considered the secondary architecture.
- Adding 64-bit ARM compute machines to a cluster that uses 64-bit x86 control plane machines and already includes 64-bit x86 compute machines. In this case, 64-bit ARM is considered the secondary architecture.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
custom resource. For more information, see "Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator".
Prerequisites
-
You installed the OpenShift CLI (
oc
). - You used the installation program to create an 64-bit ARM or 64-bit x86 single-architecture AWS cluster with the multi-architecture installer binary.
Procedure
-
Log in to the OpenShift CLI (
oc
). Create a YAML file, and add the configuration to create a compute machine set to control the 64-bit ARM or 64-bit x86 compute nodes in your cluster.
Example
MachineSet
object for an AWS 64-bit ARM or x86 compute nodeapiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> 1 name: <infrastructure_id>-aws-machine-set-0 2 namespace: openshift-machine-api spec: replicas: 1 selector: matchLabels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> 3 machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> 4 template: metadata: labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machine-role: <role> 5 machine.openshift.io/cluster-api-machine-type: <role> 6 machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> 7 spec: metadata: labels: node-role.kubernetes.io/<role>: "" providerSpec: value: ami: id: ami-02a574449d4f4d280 8 apiVersion: awsproviderconfig.openshift.io/v1beta1 blockDevices: - ebs: iops: 0 volumeSize: 120 volumeType: gp2 credentialsSecret: name: aws-cloud-credentials deviceIndex: 0 iamInstanceProfile: id: <infrastructure_id>-worker-profile 9 instanceType: m6g.xlarge 10 kind: AWSMachineProviderConfig placement: availabilityZone: us-east-1a 11 region: <region> 12 securityGroups: - filters: - name: tag:Name values: - <infrastructure_id>-worker-sg 13 subnet: filters: - name: tag:Name values: - <infrastructure_id>-private-<zone> tags: - name: kubernetes.io/cluster/<infrastructure_id> 14 value: owned - name: <custom_tag_name> value: <custom_tag_value> userDataSecret: name: worker-user-data
- 1 2 3 9 13 14
- Specify the infrastructure ID that is based on the cluster ID that you set when you provisioned the cluster. If you have the OpenShift CLI (
oc
) installed, you can obtain the infrastructure ID by running the following command:$ oc get -o jsonpath=‘{.status.infrastructureName}{“\n”}’ infrastructure cluster
- 4 7
- Specify the infrastructure ID, role node label, and zone.
- 5 6
- Specify the role node label to add.
- 8
- Specify a Red Hat Enterprise Linux CoreOS (RHCOS) Amazon Machine Image (AMI) for your AWS zone for the nodes. The RHCOS AMI must be compatible with the machine architecture.
$ oc get configmap/coreos-bootimages \ -n openshift-machine-config-operator \ -o jsonpath='{.data.stream}' | jq \ -r '.architectures.<arch>.images.aws.regions."<region>".image'
- 10
- Specify a machine type that aligns with the CPU architecture of the chosen AMI. For more information, see "Tested instance types for AWS 64-bit ARM"
- 11
- Specify the zone. For example,
us-east-1a
. Ensure that the zone you select has machines with the required architecture. - 12
- Specify the region. For example,
us-east-1
. Ensure that the zone you select has machines with the required architecture.
Create the compute machine set by running the following command:
$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of the YAML file with compute machine set configuration. For example:aws-arm64-machine-set-0.yaml
, oraws-amd64-machine-set-0.yaml
.
Verification
View the list of compute machine sets by running the following command:
$ oc get machineset -n openshift-machine-api
The output must include the machine set that you created.
Example output
NAME DESIRED CURRENT READY AVAILABLE AGE <infrastructure_id>-aws-machine-set-0 2 2 2 2 10m
You can check if the nodes are ready and schedulable by running the following command:
$ oc get nodes
4.4. Creating a cluster with multi-architecture compute machines on GCP
To create a Google Cloud Platform (GCP) cluster with multi-architecture compute machines, you must first create a single-architecture GCP installer-provisioned cluster with the multi-architecture installer binary. For more information on AWS installations, see Installing a cluster on GCP with customizations.
You can also migrate your current cluster with single-architecture compute machines to a cluster with multi-architecture compute machines. For more information, see Migrating to a cluster with multi-architecture compute machines.
After creating a multi-architecture cluster, you can add nodes with different architectures to the cluster.
Secure booting is currently not supported on 64-bit ARM machines for GCP
4.4.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.4.2. Adding a multi-architecture compute machine set to your GCP cluster
After creating a multi-architecture cluster, you can add nodes with different architectures.
You can add multi-architecture compute machines to a multi-architecture cluster in the following ways:
- Adding 64-bit x86 compute machines to a cluster that uses 64-bit ARM control plane machines and already includes 64-bit ARM compute machines. In this case, 64-bit x86 is considered the secondary architecture.
- Adding 64-bit ARM compute machines to a cluster that uses 64-bit x86 control plane machines and already includes 64-bit x86 compute machines. In this case, 64-bit ARM is considered the secondary architecture.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
custom resource. For more information, see "Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator".
Prerequisites
-
You installed the OpenShift CLI (
oc
). - You used the installation program to create a 64-bit x86 or 64-bit ARM single-architecture GCP cluster with the multi-architecture installer binary.
Procedure
-
Log in to the OpenShift CLI (
oc
). Create a YAML file, and add the configuration to create a compute machine set to control the 64-bit ARM or 64-bit x86 compute nodes in your cluster.
Example
MachineSet
object for a GCP 64-bit ARM or 64-bit x86 compute nodeapiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> 1 name: <infrastructure_id>-w-a namespace: openshift-machine-api spec: replicas: 1 selector: matchLabels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machineset: <infrastructure_id>-w-a template: metadata: creationTimestamp: null labels: machine.openshift.io/cluster-api-cluster: <infrastructure_id> machine.openshift.io/cluster-api-machine-role: <role> 2 machine.openshift.io/cluster-api-machine-type: <role> machine.openshift.io/cluster-api-machineset: <infrastructure_id>-w-a spec: metadata: labels: node-role.kubernetes.io/<role>: "" providerSpec: value: apiVersion: gcpprovider.openshift.io/v1beta1 canIPForward: false credentialsSecret: name: gcp-cloud-credentials deletionProtection: false disks: - autoDelete: true boot: true image: <path_to_image> 3 labels: null sizeGb: 128 type: pd-ssd gcpMetadata: 4 - key: <custom_metadata_key> value: <custom_metadata_value> kind: GCPMachineProviderSpec machineType: n1-standard-4 5 metadata: creationTimestamp: null networkInterfaces: - network: <infrastructure_id>-network subnetwork: <infrastructure_id>-worker-subnet projectID: <project_name> 6 region: us-central1 7 serviceAccounts: - email: <infrastructure_id>-w@<project_name>.iam.gserviceaccount.com scopes: - https://www.googleapis.com/auth/cloud-platform tags: - <infrastructure_id>-worker userDataSecret: name: worker-user-data zone: us-central1-a
- 1
- Specify the infrastructure ID that is based on the cluster ID that you set when you provisioned the cluster. You can obtain the infrastructure ID by running the following command:
$ oc get -o jsonpath='{.status.infrastructureName}{"\n"}' infrastructure cluster
- 2
- Specify the role node label to add.
- 3
- Specify the path to the image that is used in current compute machine sets. You need the project and image name for your path to image.
To access the project and image name, run the following command:
$ oc get configmap/coreos-bootimages \ -n openshift-machine-config-operator \ -o jsonpath='{.data.stream}' | jq \ -r '.architectures.aarch64.images.gcp'
Example output
"gcp": { "release": "415.92.202309142014-0", "project": "rhcos-cloud", "name": "rhcos-415-92-202309142014-0-gcp-aarch64" }
Use the
project
andname
parameters from the output to create the path to image field in your machine set. The path to the image should follow the following format:$ projects/<project>/global/images/<image_name>
- 4
- Optional: Specify custom metadata in the form of a
key:value
pair. For example use cases, see the GCP documentation for setting custom metadata. - 5
- Specify a machine type that aligns with the CPU architecture of the chosen OS image. For more information, see "Tested instance types for GCP on 64-bit ARM infrastructures".
- 6
- Specify the name of the GCP project that you use for your cluster.
- 7
- Specify the region. For example,
us-central1
. Ensure that the zone you select has machines with the required architecture.
Create the compute machine set by running the following command:
$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of the YAML file with compute machine set configuration. For example:gcp-arm64-machine-set-0.yaml
, orgcp-amd64-machine-set-0.yaml
.
Verification
View the list of compute machine sets by running the following command:
$ oc get machineset -n openshift-machine-api
The output must include the machine set that you created.
Example output
NAME DESIRED CURRENT READY AVAILABLE AGE <infrastructure_id>-gcp-machine-set-0 2 2 2 2 10m
You can check if the nodes are ready and schedulable by running the following command:
$ oc get nodes
4.5. Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z
To create a cluster with multi-architecture compute machines on bare metal (x86_64
or aarch64
), IBM Power® (ppc64le
), or IBM Z® (s390x
) you must have an existing single-architecture cluster on one of these platforms. Follow the installations procedures for your platform:
- Installing a user provisioned cluster on bare metal. You can then add 64-bit ARM compute machines to your OpenShift Container Platform cluster on bare metal.
-
Installing a cluster on IBM Power®. You can then add
x86_64
compute machines to your OpenShift Container Platform cluster on IBM Power®. -
Installing a cluster on IBM Z® and IBM® LinuxONE. You can then add
x86_64
compute machines to your OpenShift Container Platform cluster on IBM Z® and IBM® LinuxONE.
The bare metal installer-provisioned infrastructure and the Bare Metal Operator do not support adding secondary architecture nodes during the initial cluster setup. You can add secondary architecture nodes manually only after the initial cluster setup.
Before you can add additional compute nodes to your cluster, you must upgrade your cluster to one that uses the multi-architecture payload. For more information on migrating to the multi-architecture payload, see Migrating to a cluster with multi-architecture compute machines.
The following procedures explain how to create a RHCOS compute machine using an ISO image or network PXE booting. This allows you to add additional nodes to your cluster and deploy a cluster with multi-architecture compute machines.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
object. For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
4.5.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.5.2. Creating RHCOS machines using an ISO image
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines for your bare metal cluster by using an ISO image to create the machines.
Prerequisites
- Obtain the URL of the Ignition config file for the compute machines for your cluster. You uploaded this file to your HTTP server during installation.
-
You must have the OpenShift CLI (
oc
) installed.
Procedure
Extract the Ignition config file from the cluster by running the following command:
$ oc extract -n openshift-machine-api secret/worker-user-data-managed --keys=userData --to=- > worker.ign
-
Upload the
worker.ign
Ignition config file you exported from your cluster to your HTTP server. Note the URLs of these files. You can validate that the ignition files are available on the URLs. The following example gets the Ignition config files for the compute node:
$ curl -k http://<HTTP_server>/worker.ign
You can access the ISO image for booting your new machine by running to following command:
RHCOS_VHD_ORIGIN_URL=$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.<architecture>.artifacts.metal.formats.iso.disk.location')
Use the ISO file to install RHCOS on more compute machines. Use the same method that you used when you created machines before you installed the cluster:
- Burn the ISO image to a disk and boot it directly.
- Use ISO redirection with a LOM interface.
Boot the RHCOS ISO image without specifying any options, or interrupting the live boot sequence. Wait for the installer to boot into a shell prompt in the RHCOS live environment.
NoteYou can interrupt the RHCOS installation boot process to add kernel arguments. However, for this ISO procedure you must use the
coreos-installer
command as outlined in the following steps, instead of adding kernel arguments.Run the
coreos-installer
command and specify the options that meet your installation requirements. At a minimum, you must specify the URL that points to the Ignition config file for the node type, and the device that you are installing to:$ sudo coreos-installer install --ignition-url=http://<HTTP_server>/<node_type>.ign <device> --ignition-hash=sha512-<digest> 12
- 1
- You must run the
coreos-installer
command by usingsudo
, because thecore
user does not have the required root privileges to perform the installation. - 2
- The
--ignition-hash
option is required when the Ignition config file is obtained through an HTTP URL to validate the authenticity of the Ignition config file on the cluster node.<digest>
is the Ignition config file SHA512 digest obtained in a preceding step.
NoteIf you want to provide your Ignition config files through an HTTPS server that uses TLS, you can add the internal certificate authority (CA) to the system trust store before running
coreos-installer
.The following example initializes a bootstrap node installation to the
/dev/sda
device. The Ignition config file for the bootstrap node is obtained from an HTTP web server with the IP address 192.168.1.2:$ sudo coreos-installer install --ignition-url=http://192.168.1.2:80/installation_directory/bootstrap.ign /dev/sda --ignition-hash=sha512-a5a2d43879223273c9b60af66b44202a1d1248fc01cf156c46d4a79f552b6bad47bc8cc78ddf0116e80c59d2ea9e32ba53bc807afbca581aa059311def2c3e3b
Monitor the progress of the RHCOS installation on the console of the machine.
ImportantEnsure that the installation is successful on each node before commencing with the OpenShift Container Platform installation. Observing the installation process can also help to determine the cause of RHCOS installation issues that might arise.
- Continue to create more compute machines for your cluster.
4.5.3. Creating RHCOS machines by PXE or iPXE booting
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines for your bare metal cluster by using PXE or iPXE booting.
Prerequisites
- Obtain the URL of the Ignition config file for the compute machines for your cluster. You uploaded this file to your HTTP server during installation.
-
Obtain the URLs of the RHCOS ISO image, compressed metal BIOS,
kernel
, andinitramfs
files that you uploaded to your HTTP server during cluster installation. - You have access to the PXE booting infrastructure that you used to create the machines for your OpenShift Container Platform cluster during installation. The machines must boot from their local disks after RHCOS is installed on them.
-
If you use UEFI, you have access to the
grub.conf
file that you modified during OpenShift Container Platform installation.
Procedure
Confirm that your PXE or iPXE installation for the RHCOS images is correct.
For PXE:
DEFAULT pxeboot TIMEOUT 20 PROMPT 0 LABEL pxeboot KERNEL http://<HTTP_server>/rhcos-<version>-live-kernel-<architecture> 1 APPEND initrd=http://<HTTP_server>/rhcos-<version>-live-initramfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img 2
- 1
- Specify the location of the live
kernel
file that you uploaded to your HTTP server. - 2
- Specify locations of the RHCOS files that you uploaded to your HTTP server. The
initrd
parameter value is the location of the liveinitramfs
file, thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file, and thecoreos.live.rootfs_url
parameter value is the location of the liverootfs
file. Thecoreos.inst.ignition_url
andcoreos.live.rootfs_url
parameters only support HTTP and HTTPS.
NoteThis configuration does not enable serial console access on machines with a graphical console. To configure a different console, add one or more
console=
arguments to theAPPEND
line. For example, addconsole=tty0 console=ttyS0
to set the first PC serial port as the primary console and the graphical console as a secondary console. For more information, see How does one set up a serial terminal and/or console in Red Hat Enterprise Linux?.For iPXE (
x86_64
+aarch64
):kernel http://<HTTP_server>/rhcos-<version>-live-kernel-<architecture> initrd=main coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign 1 2 initrd --name main http://<HTTP_server>/rhcos-<version>-live-initramfs.<architecture>.img 3 boot
- 1
- Specify the locations of the RHCOS files that you uploaded to your HTTP server. The
kernel
parameter value is the location of thekernel
file, theinitrd=main
argument is needed for booting on UEFI systems, thecoreos.live.rootfs_url
parameter value is the location of therootfs
file, and thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file. - 2
- If you use multiple NICs, specify a single interface in the
ip
option. For example, to use DHCP on a NIC that is namedeno1
, setip=eno1:dhcp
. - 3
- Specify the location of the
initramfs
file that you uploaded to your HTTP server.
NoteThis configuration does not enable serial console access on machines with a graphical console To configure a different console, add one or more
console=
arguments to thekernel
line. For example, addconsole=tty0 console=ttyS0
to set the first PC serial port as the primary console and the graphical console as a secondary console. For more information, see How does one set up a serial terminal and/or console in Red Hat Enterprise Linux? and "Enabling the serial console for PXE and ISO installation" in the "Advanced RHCOS installation configuration" section.NoteTo network boot the CoreOS
kernel
onaarch64
architecture, you need to use a version of iPXE build with theIMAGE_GZIP
option enabled. SeeIMAGE_GZIP
option in iPXE.For PXE (with UEFI and GRUB as second stage) on
aarch64
:menuentry 'Install CoreOS' { linux rhcos-<version>-live-kernel-<architecture> coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign 1 2 initrd rhcos-<version>-live-initramfs.<architecture>.img 3 }
- 1
- Specify the locations of the RHCOS files that you uploaded to your HTTP/TFTP server. The
kernel
parameter value is the location of thekernel
file on your TFTP server. Thecoreos.live.rootfs_url
parameter value is the location of therootfs
file, and thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file on your HTTP Server. - 2
- If you use multiple NICs, specify a single interface in the
ip
option. For example, to use DHCP on a NIC that is namedeno1
, setip=eno1:dhcp
. - 3
- Specify the location of the
initramfs
file that you uploaded to your TFTP server.
- Use the PXE or iPXE infrastructure to create the required compute machines for your cluster.
4.5.4. Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.29.4 master-1 Ready master 63m v1.29.4 master-2 Ready master 64m v1.29.4
The output lists all of the machines that you created.
NoteThe preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.
Review the pending CSRs and ensure that you see the client requests with the
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:NoteBecause the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.NoteFor clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the
oc exec
,oc rsh
, andoc logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, and confirm the identity of the node.To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
NoteSome Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.29.4 master-1 Ready master 73m v1.29.4 master-2 Ready master 74m v1.29.4 worker-0 Ready worker 11m v1.29.4 worker-1 Ready worker 11m v1.29.4
NoteIt can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
4.6. Creating a cluster with multi-architecture compute machines on IBM Z and IBM LinuxONE with z/VM
To create a cluster with multi-architecture compute machines on IBM Z® and IBM® LinuxONE (s390x
) with z/VM, you must have an existing single-architecture x86_64
cluster. You can then add s390x
compute machines to your OpenShift Container Platform cluster.
Before you can add s390x
nodes to your cluster, you must upgrade your cluster to one that uses the multi-architecture payload. For more information on migrating to the multi-architecture payload, see Migrating to a cluster with multi-architecture compute machines.
The following procedures explain how to create a RHCOS compute machine using a z/VM instance. This will allow you to add s390x
nodes to your cluster and deploy a cluster with multi-architecture compute machines.
To create an IBM Z® or IBM® LinuxONE (s390x
) cluster with multi-architecture compute machines on x86_64
, follow the instructions for Installing a cluster on IBM Z® and IBM® LinuxONE. You can then add x86_64
compute machines as described in Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
object. For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
4.6.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.6.2. Creating RHCOS machines on IBM Z with z/VM
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines running on IBM Z® with z/VM and attach them to your existing cluster.
Prerequisites
- You have a domain name server (DNS) that can perform hostname and reverse lookup for the nodes.
- You have an HTTP or HTTPS server running on your provisioning machine that is accessible to the machines you create.
Procedure
Disable UDP aggregation.
Currently, UDP aggregation is not supported on IBM Z® and is not automatically deactivated on multi-architecture compute clusters with an
x86_64
control plane and additionals390x
compute machines. To ensure that the addtional compute nodes are added to the cluster correctly, you must manually disable UDP aggregation.Create a YAML file
udp-aggregation-config.yaml
with the following content:apiVersion: v1 kind: ConfigMap data: disable-udp-aggregation: "true" metadata: name: udp-aggregation-config namespace: openshift-network-operator
Create the ConfigMap resource by running the following command:
$ oc create -f udp-aggregation-config.yaml
Extract the Ignition config file from the cluster by running the following command:
$ oc extract -n openshift-machine-api secret/worker-user-data-managed --keys=userData --to=- > worker.ign
-
Upload the
worker.ign
Ignition config file you exported from your cluster to your HTTP server. Note the URL of this file. You can validate that the Ignition file is available on the URL. The following example gets the Ignition config file for the compute node:
$ curl -k http://<http_server>/worker.ign
Download the RHEL live
kernel
,initramfs
, androotfs
files by running the following commands:$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.kernel.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.initramfs.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.rootfs.location')
-
Move the downloaded RHEL live
kernel
,initramfs
, androotfs
files to an HTTP or HTTPS server that is accessible from the z/VM guest you want to add. Create a parameter file for the z/VM guest. The following parameters are specific for the virtual machine:
Optional: To specify a static IP address, add an
ip=
parameter with the following entries, with each separated by a colon:- The IP address for the machine.
- An empty string.
- The gateway.
- The netmask.
-
The machine host and domain name in the form
hostname.domainname
. Omit this value to let RHCOS decide. - The network interface name. Omit this value to let RHCOS decide.
-
The value
none
.
-
For
coreos.inst.ignition_url=
, specify the URL to theworker.ign
file. Only HTTP and HTTPS protocols are supported. -
For
coreos.live.rootfs_url=
, specify the matching rootfs artifact for thekernel
andinitramfs
you are booting. Only HTTP and HTTPS protocols are supported. For installations on DASD-type disks, complete the following tasks:
-
For
coreos.inst.install_dev=
, specify/dev/dasda
. -
Use
rd.dasd=
to specify the DASD where RHCOS is to be installed. You can adjust further parameters if required.
The following is an example parameter file,
additional-worker-dasd.parm
:cio_ignore=all,!condev rd.neednet=1 \ console=ttysclp0 \ coreos.inst.install_dev=/dev/dasda \ coreos.inst.ignition_url=http://<http_server>/worker.ign \ coreos.live.rootfs_url=http://<http_server>/rhcos-<version>-live-rootfs.<architecture>.img \ ip=<ip>::<gateway>:<netmask>:<hostname>::none nameserver=<dns> \ rd.znet=qeth,0.0.bdf0,0.0.bdf1,0.0.bdf2,layer2=1,portno=0 \ rd.dasd=0.0.3490 \ zfcp.allow_lun_scan=0
Write all options in the parameter file as a single line and make sure that you have no newline characters.
-
For
For installations on FCP-type disks, complete the following tasks:
Use
rd.zfcp=<adapter>,<wwpn>,<lun>
to specify the FCP disk where RHCOS is to be installed. For multipathing, repeat this step for each additional path.NoteWhen you install with multiple paths, you must enable multipathing directly after the installation, not at a later point in time, as this can cause problems.
Set the install device as:
coreos.inst.install_dev=/dev/sda
.NoteIf additional LUNs are configured with NPIV, FCP requires
zfcp.allow_lun_scan=0
. If you must enablezfcp.allow_lun_scan=1
because you use a CSI driver, for example, you must configure your NPIV so that each node cannot access the boot partition of another node.You can adjust further parameters if required.
ImportantAdditional postinstallation steps are required to fully enable multipathing. For more information, see “Enabling multipathing with kernel arguments on RHCOS" in Postinstallation machine configuration tasks.
The following is an example parameter file,
additional-worker-fcp.parm
for a worker node with multipathing:cio_ignore=all,!condev rd.neednet=1 \ console=ttysclp0 \ coreos.inst.install_dev=/dev/sda \ coreos.live.rootfs_url=http://<http_server>/rhcos-<version>-live-rootfs.<architecture>.img \ coreos.inst.ignition_url=http://<http_server>/worker.ign \ ip=<ip>::<gateway>:<netmask>:<hostname>::none nameserver=<dns> \ rd.znet=qeth,0.0.bdf0,0.0.bdf1,0.0.bdf2,layer2=1,portno=0 \ zfcp.allow_lun_scan=0 \ rd.zfcp=0.0.1987,0x50050763070bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.19C7,0x50050763070bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.1987,0x50050763071bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.19C7,0x50050763071bc5e3,0x4008400B00000000
Write all options in the parameter file as a single line and make sure that you have no newline characters.
-
Transfer the
initramfs
,kernel
, parameter files, and RHCOS images to z/VM, for example, by using FTP. For details about how to transfer the files with FTP and boot from the virtual reader, see Installing under Z/VM. Punch the files to the virtual reader of the z/VM guest virtual machine.
See PUNCH in IBM® Documentation.
TipYou can use the CP PUNCH command or, if you use Linux, the vmur command to transfer files between two z/VM guest virtual machines.
- Log in to CMS on the bootstrap machine.
IPL the bootstrap machine from the reader by running the following command:
$ ipl c
See IPL in IBM® Documentation.
4.6.3. Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.29.4 master-1 Ready master 63m v1.29.4 master-2 Ready master 64m v1.29.4
The output lists all of the machines that you created.
NoteThe preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.
Review the pending CSRs and ensure that you see the client requests with the
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:NoteBecause the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.NoteFor clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the
oc exec
,oc rsh
, andoc logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, and confirm the identity of the node.To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
NoteSome Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.29.4 master-1 Ready master 73m v1.29.4 master-2 Ready master 74m v1.29.4 worker-0 Ready worker 11m v1.29.4 worker-1 Ready worker 11m v1.29.4
NoteIt can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
4.7. Creating a cluster with multi-architecture compute machines on IBM Z and IBM LinuxONE in an LPAR
To create a cluster with multi-architecture compute machines on IBM Z® and IBM® LinuxONE (s390x
) in an LPAR, you must have an existing single-architecture x86_64
cluster. You can then add s390x
compute machines to your OpenShift Container Platform cluster.
Before you can add s390x
nodes to your cluster, you must upgrade your cluster to one that uses the multi-architecture payload. For more information on migrating to the multi-architecture payload, see Migrating to a cluster with multi-architecture compute machines.
The following procedures explain how to create a RHCOS compute machine using an LPAR instance. This will allow you to add s390x
nodes to your cluster and deploy a cluster with multi-architecture compute machines.
To create an IBM Z® or IBM® LinuxONE (s390x
) cluster with multi-architecture compute machines on x86_64
, follow the instructions for Installing a cluster on IBM Z® and IBM® LinuxONE. You can then add x86_64
compute machines as described in Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z.
4.7.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.7.2. Creating RHCOS machines on IBM Z with z/VM
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines running on IBM Z® with z/VM and attach them to your existing cluster.
Prerequisites
- You have a domain name server (DNS) that can perform hostname and reverse lookup for the nodes.
- You have an HTTP or HTTPS server running on your provisioning machine that is accessible to the machines you create.
Procedure
Disable UDP aggregation.
Currently, UDP aggregation is not supported on IBM Z® and is not automatically deactivated on multi-architecture compute clusters with an
x86_64
control plane and additionals390x
compute machines. To ensure that the addtional compute nodes are added to the cluster correctly, you must manually disable UDP aggregation.Create a YAML file
udp-aggregation-config.yaml
with the following content:apiVersion: v1 kind: ConfigMap data: disable-udp-aggregation: "true" metadata: name: udp-aggregation-config namespace: openshift-network-operator
Create the ConfigMap resource by running the following command:
$ oc create -f udp-aggregation-config.yaml
Extract the Ignition config file from the cluster by running the following command:
$ oc extract -n openshift-machine-api secret/worker-user-data-managed --keys=userData --to=- > worker.ign
-
Upload the
worker.ign
Ignition config file you exported from your cluster to your HTTP server. Note the URL of this file. You can validate that the Ignition file is available on the URL. The following example gets the Ignition config file for the compute node:
$ curl -k http://<http_server>/worker.ign
Download the RHEL live
kernel
,initramfs
, androotfs
files by running the following commands:$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.kernel.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.initramfs.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.rootfs.location')
-
Move the downloaded RHEL live
kernel
,initramfs
, androotfs
files to an HTTP or HTTPS server that is accessible from the z/VM guest you want to add. Create a parameter file for the z/VM guest. The following parameters are specific for the virtual machine:
Optional: To specify a static IP address, add an
ip=
parameter with the following entries, with each separated by a colon:- The IP address for the machine.
- An empty string.
- The gateway.
- The netmask.
-
The machine host and domain name in the form
hostname.domainname
. Omit this value to let RHCOS decide. - The network interface name. Omit this value to let RHCOS decide.
-
The value
none
.
-
For
coreos.inst.ignition_url=
, specify the URL to theworker.ign
file. Only HTTP and HTTPS protocols are supported. -
For
coreos.live.rootfs_url=
, specify the matching rootfs artifact for thekernel
andinitramfs
you are booting. Only HTTP and HTTPS protocols are supported. For installations on DASD-type disks, complete the following tasks:
-
For
coreos.inst.install_dev=
, specify/dev/dasda
. -
Use
rd.dasd=
to specify the DASD where RHCOS is to be installed. You can adjust further parameters if required.
The following is an example parameter file,
additional-worker-dasd.parm
:cio_ignore=all,!condev rd.neednet=1 \ console=ttysclp0 \ coreos.inst.install_dev=/dev/dasda \ coreos.inst.ignition_url=http://<http_server>/worker.ign \ coreos.live.rootfs_url=http://<http_server>/rhcos-<version>-live-rootfs.<architecture>.img \ ip=<ip>::<gateway>:<netmask>:<hostname>::none nameserver=<dns> \ rd.znet=qeth,0.0.bdf0,0.0.bdf1,0.0.bdf2,layer2=1,portno=0 \ rd.dasd=0.0.3490 \ zfcp.allow_lun_scan=0
Write all options in the parameter file as a single line and make sure that you have no newline characters.
-
For
For installations on FCP-type disks, complete the following tasks:
Use
rd.zfcp=<adapter>,<wwpn>,<lun>
to specify the FCP disk where RHCOS is to be installed. For multipathing, repeat this step for each additional path.NoteWhen you install with multiple paths, you must enable multipathing directly after the installation, not at a later point in time, as this can cause problems.
Set the install device as:
coreos.inst.install_dev=/dev/sda
.NoteIf additional LUNs are configured with NPIV, FCP requires
zfcp.allow_lun_scan=0
. If you must enablezfcp.allow_lun_scan=1
because you use a CSI driver, for example, you must configure your NPIV so that each node cannot access the boot partition of another node.You can adjust further parameters if required.
ImportantAdditional postinstallation steps are required to fully enable multipathing. For more information, see “Enabling multipathing with kernel arguments on RHCOS" in Postinstallation machine configuration tasks.
The following is an example parameter file,
additional-worker-fcp.parm
for a worker node with multipathing:cio_ignore=all,!condev rd.neednet=1 \ console=ttysclp0 \ coreos.inst.install_dev=/dev/sda \ coreos.live.rootfs_url=http://<http_server>/rhcos-<version>-live-rootfs.<architecture>.img \ coreos.inst.ignition_url=http://<http_server>/worker.ign \ ip=<ip>::<gateway>:<netmask>:<hostname>::none nameserver=<dns> \ rd.znet=qeth,0.0.bdf0,0.0.bdf1,0.0.bdf2,layer2=1,portno=0 \ zfcp.allow_lun_scan=0 \ rd.zfcp=0.0.1987,0x50050763070bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.19C7,0x50050763070bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.1987,0x50050763071bc5e3,0x4008400B00000000 \ rd.zfcp=0.0.19C7,0x50050763071bc5e3,0x4008400B00000000
Write all options in the parameter file as a single line and make sure that you have no newline characters.
-
Transfer the
initramfs
,kernel
, parameter files, and RHCOS images to z/VM, for example, by using FTP. For details about how to transfer the files with FTP and boot from the virtual reader, see Installing under Z/VM. Punch the files to the virtual reader of the z/VM guest virtual machine.
See PUNCH in IBM® Documentation.
TipYou can use the CP PUNCH command or, if you use Linux, the vmur command to transfer files between two z/VM guest virtual machines.
- Log in to CMS on the bootstrap machine.
IPL the bootstrap machine from the reader by running the following command:
$ ipl c
See IPL in IBM® Documentation.
4.7.3. Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.29.4 master-1 Ready master 63m v1.29.4 master-2 Ready master 64m v1.29.4
The output lists all of the machines that you created.
NoteThe preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.
Review the pending CSRs and ensure that you see the client requests with the
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:NoteBecause the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.NoteFor clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the
oc exec
,oc rsh
, andoc logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, and confirm the identity of the node.To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
NoteSome Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.29.4 master-1 Ready master 73m v1.29.4 master-2 Ready master 74m v1.29.4 worker-0 Ready worker 11m v1.29.4 worker-1 Ready worker 11m v1.29.4
NoteIt can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
4.8. Creating a cluster with multi-architecture compute machines on IBM Z and IBM LinuxONE with RHEL KVM
To create a cluster with multi-architecture compute machines on IBM Z® and IBM® LinuxONE (s390x
) with RHEL KVM, you must have an existing single-architecture x86_64
cluster. You can then add s390x
compute machines to your OpenShift Container Platform cluster.
Before you can add s390x
nodes to your cluster, you must upgrade your cluster to one that uses the multi-architecture payload. For more information on migrating to the multi-architecture payload, see Migrating to a cluster with multi-architecture compute machines.
The following procedures explain how to create a RHCOS compute machine using a RHEL KVM instance. This will allow you to add s390x
nodes to your cluster and deploy a cluster with multi-architecture compute machines.
To create an IBM Z® or IBM® LinuxONE (s390x
) cluster with multi-architecture compute machines on x86_64
, follow the instructions for Installing a cluster on IBM Z® and IBM® LinuxONE. You can then add x86_64
compute machines as described in Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
object. For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
4.8.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.8.2. Creating RHCOS machines using virt-install
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines for your cluster by using virt-install
.
Prerequisites
- You have at least one LPAR running on RHEL 8.7 or later with KVM, referred to as RHEL KVM host in this procedure.
- The KVM/QEMU hypervisor is installed on the RHEL KVM host.
- You have a domain name server (DNS) that can perform hostname and reverse lookup for the nodes.
- An HTTP or HTTPS server is set up.
Procedure
Disable UDP aggregation.
Currently, UDP aggregation is not supported on IBM Z® and is not automatically deactivated on multi-architecture compute clusters with an
x86_64
control plane and additionals390x
compute machines. To ensure that the addtional compute nodes are added to the cluster correctly, you must manually disable UDP aggregation.Create a YAML file
udp-aggregation-config.yaml
with the following content:apiVersion: v1 kind: ConfigMap data: disable-udp-aggregation: "true" metadata: name: udp-aggregation-config namespace: openshift-network-operator
Create the ConfigMap resource by running the following command:
$ oc create -f udp-aggregation-config.yaml
Extract the Ignition config file from the cluster by running the following command:
$ oc extract -n openshift-machine-api secret/worker-user-data-managed --keys=userData --to=- > worker.ign
-
Upload the
worker.ign
Ignition config file you exported from your cluster to your HTTP server. Note the URL of this file. You can validate that the Ignition file is available on the URL. The following example gets the Ignition config file for the compute node:
$ curl -k http://<HTTP_server>/worker.ign
Download the RHEL live
kernel
,initramfs
, androotfs
files by running the following commands:$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.kernel.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.initramfs.location')
$ curl -LO $(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' \ | jq -r '.architectures.s390x.artifacts.metal.formats.pxe.rootfs.location')
-
Move the downloaded RHEL live
kernel
,initramfs
androotfs
files to an HTTP or HTTPS server before you launchvirt-install
. Create the new KVM guest nodes using the RHEL
kernel
,initramfs
, and Ignition files; the new disk image; and adjusted parm line arguments.$ virt-install \ --connect qemu:///system \ --name <vm_name> \ --autostart \ --os-variant rhel9.4 \ 1 --cpu host \ --vcpus <vcpus> \ --memory <memory_mb> \ --disk <vm_name>.qcow2,size=<image_size> \ --network network=<virt_network_parm> \ --location <media_location>,kernel=<rhcos_kernel>,initrd=<rhcos_initrd> \ 2 --extra-args "rd.neednet=1" \ --extra-args "coreos.inst.install_dev=/dev/vda" \ --extra-args "coreos.inst.ignition_url=http://<http_server>/worker.ign " \ 3 --extra-args "coreos.live.rootfs_url=http://<http_server>/rhcos-<version>-live-rootfs.<architecture>.img" \ 4 --extra-args "ip=<ip>::<gateway>:<netmask>:<hostname>::none" \ 5 --extra-args "nameserver=<dns>" \ --extra-args "console=ttysclp0" \ --noautoconsole \ --wait
- 1
- For
os-variant
, specify the RHEL version for the RHCOS compute machine.rhel9.4
is the recommended version. To query the supported RHEL version of your operating system, run the following command:$ osinfo-query os -f short-id
NoteThe
os-variant
is case sensitive. - 2
- For
--location
, specify the location of the kernel/initrd on the HTTP or HTTPS server. - 3
- Specify the location of the
worker.ign
config file. Only HTTP and HTTPS protocols are supported. - 4
- Specify the location of the
rootfs
artifact for thekernel
andinitramfs
you are booting. Only HTTP and HTTPS protocols are supported - 5
- Optional: For
hostname
, specify the fully qualified hostname of the client machine.
NoteIf you are using HAProxy as a load balancer, update your HAProxy rules for
ingress-router-443
andingress-router-80
in the/etc/haproxy/haproxy.cfg
configuration file.- Continue to create more compute machines for your cluster.
4.8.3. Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.29.4 master-1 Ready master 63m v1.29.4 master-2 Ready master 64m v1.29.4
The output lists all of the machines that you created.
NoteThe preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.
Review the pending CSRs and ensure that you see the client requests with the
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:NoteBecause the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.NoteFor clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the
oc exec
,oc rsh
, andoc logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, and confirm the identity of the node.To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
NoteSome Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.29.4 master-1 Ready master 73m v1.29.4 master-2 Ready master 74m v1.29.4 worker-0 Ready worker 11m v1.29.4 worker-1 Ready worker 11m v1.29.4
NoteIt can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
4.9. Creating a cluster with multi-architecture compute machines on IBM Power
To create a cluster with multi-architecture compute machines on IBM Power® (ppc64le
), you must have an existing single-architecture (x86_64
) cluster. You can then add ppc64le
compute machines to your OpenShift Container Platform cluster.
Before you can add ppc64le
nodes to your cluster, you must upgrade your cluster to one that uses the multi-architecture payload. For more information on migrating to the multi-architecture payload, see Migrating to a cluster with multi-architecture compute machines.
The following procedures explain how to create a RHCOS compute machine using an ISO image or network PXE booting. This will allow you to add ppc64le
nodes to your cluster and deploy a cluster with multi-architecture compute machines.
To create an IBM Power® (ppc64le
) cluster with multi-architecture compute machines on x86_64
, follow the instructions for Installing a cluster on IBM Power®. You can then add x86_64
compute machines as described in Creating a cluster with multi-architecture compute machines on bare metal, IBM Power, or IBM Z.
Before adding a secondary architecture node to your cluster, it is recommended to install the Multiarch Tuning Operator, and deploy a ClusterPodPlacementConfig
object. For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
4.9.1. Verifying cluster compatibility
Before you can start adding compute nodes of different architectures to your cluster, you must verify that your cluster is multi-architecture compatible.
Prerequisites
-
You installed the OpenShift CLI (
oc
).
When using multiple architectures, hosts for OpenShift Container Platform nodes must share the same storage layer. If they do not have the same storage layer, use a storage provider such as nfs-provisioner
.
You should limit the number of network hops between the compute and control plane as much as possible.
Procedure
-
Log in to the OpenShift CLI (
oc
). You can check that your cluster uses the architecture payload by running the following command:
$ oc adm release info -o jsonpath="{ .metadata.metadata}"
Verification
If you see the following output, your cluster is using the multi-architecture payload:
{ "release.openshift.io/architecture": "multi", "url": "https://access.redhat.com/errata/<errata_version>" }
You can then begin adding multi-arch compute nodes to your cluster.
If you see the following output, your cluster is not using the multi-architecture payload:
{ "url": "https://access.redhat.com/errata/<errata_version>" }
ImportantTo migrate your cluster so the cluster supports multi-architecture compute machines, follow the procedure in Migrating to a cluster with multi-architecture compute machines.
4.9.2. Creating RHCOS machines using an ISO image
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines for your cluster by using an ISO image to create the machines.
Prerequisites
- Obtain the URL of the Ignition config file for the compute machines for your cluster. You uploaded this file to your HTTP server during installation.
-
You must have the OpenShift CLI (
oc
) installed.
Procedure
Extract the Ignition config file from the cluster by running the following command:
$ oc extract -n openshift-machine-api secret/worker-user-data-managed --keys=userData --to=- > worker.ign
-
Upload the
worker.ign
Ignition config file you exported from your cluster to your HTTP server. Note the URLs of these files. You can validate that the ignition files are available on the URLs. The following example gets the Ignition config files for the compute node:
$ curl -k http://<HTTP_server>/worker.ign
You can access the ISO image for booting your new machine by running to following command:
RHCOS_VHD_ORIGIN_URL=$(oc -n openshift-machine-config-operator get configmap/coreos-bootimages -o jsonpath='{.data.stream}' | jq -r '.architectures.<architecture>.artifacts.metal.formats.iso.disk.location')
Use the ISO file to install RHCOS on more compute machines. Use the same method that you used when you created machines before you installed the cluster:
- Burn the ISO image to a disk and boot it directly.
- Use ISO redirection with a LOM interface.
Boot the RHCOS ISO image without specifying any options, or interrupting the live boot sequence. Wait for the installer to boot into a shell prompt in the RHCOS live environment.
NoteYou can interrupt the RHCOS installation boot process to add kernel arguments. However, for this ISO procedure you must use the
coreos-installer
command as outlined in the following steps, instead of adding kernel arguments.Run the
coreos-installer
command and specify the options that meet your installation requirements. At a minimum, you must specify the URL that points to the Ignition config file for the node type, and the device that you are installing to:$ sudo coreos-installer install --ignition-url=http://<HTTP_server>/<node_type>.ign <device> --ignition-hash=sha512-<digest> 12
- 1
- You must run the
coreos-installer
command by usingsudo
, because thecore
user does not have the required root privileges to perform the installation. - 2
- The
--ignition-hash
option is required when the Ignition config file is obtained through an HTTP URL to validate the authenticity of the Ignition config file on the cluster node.<digest>
is the Ignition config file SHA512 digest obtained in a preceding step.
NoteIf you want to provide your Ignition config files through an HTTPS server that uses TLS, you can add the internal certificate authority (CA) to the system trust store before running
coreos-installer
.The following example initializes a bootstrap node installation to the
/dev/sda
device. The Ignition config file for the bootstrap node is obtained from an HTTP web server with the IP address 192.168.1.2:$ sudo coreos-installer install --ignition-url=http://192.168.1.2:80/installation_directory/bootstrap.ign /dev/sda --ignition-hash=sha512-a5a2d43879223273c9b60af66b44202a1d1248fc01cf156c46d4a79f552b6bad47bc8cc78ddf0116e80c59d2ea9e32ba53bc807afbca581aa059311def2c3e3b
Monitor the progress of the RHCOS installation on the console of the machine.
ImportantEnsure that the installation is successful on each node before commencing with the OpenShift Container Platform installation. Observing the installation process can also help to determine the cause of RHCOS installation issues that might arise.
- Continue to create more compute machines for your cluster.
4.9.3. Creating RHCOS machines by PXE or iPXE booting
You can create more Red Hat Enterprise Linux CoreOS (RHCOS) compute machines for your bare metal cluster by using PXE or iPXE booting.
Prerequisites
- Obtain the URL of the Ignition config file for the compute machines for your cluster. You uploaded this file to your HTTP server during installation.
-
Obtain the URLs of the RHCOS ISO image, compressed metal BIOS,
kernel
, andinitramfs
files that you uploaded to your HTTP server during cluster installation. - You have access to the PXE booting infrastructure that you used to create the machines for your OpenShift Container Platform cluster during installation. The machines must boot from their local disks after RHCOS is installed on them.
-
If you use UEFI, you have access to the
grub.conf
file that you modified during OpenShift Container Platform installation.
Procedure
Confirm that your PXE or iPXE installation for the RHCOS images is correct.
For PXE:
DEFAULT pxeboot TIMEOUT 20 PROMPT 0 LABEL pxeboot KERNEL http://<HTTP_server>/rhcos-<version>-live-kernel-<architecture> 1 APPEND initrd=http://<HTTP_server>/rhcos-<version>-live-initramfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img 2
- 1
- Specify the location of the live
kernel
file that you uploaded to your HTTP server. - 2
- Specify locations of the RHCOS files that you uploaded to your HTTP server. The
initrd
parameter value is the location of the liveinitramfs
file, thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file, and thecoreos.live.rootfs_url
parameter value is the location of the liverootfs
file. Thecoreos.inst.ignition_url
andcoreos.live.rootfs_url
parameters only support HTTP and HTTPS.
NoteThis configuration does not enable serial console access on machines with a graphical console. To configure a different console, add one or more
console=
arguments to theAPPEND
line. For example, addconsole=tty0 console=ttyS0
to set the first PC serial port as the primary console and the graphical console as a secondary console. For more information, see How does one set up a serial terminal and/or console in Red Hat Enterprise Linux?.For iPXE (
x86_64
+ppc64le
):kernel http://<HTTP_server>/rhcos-<version>-live-kernel-<architecture> initrd=main coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign 1 2 initrd --name main http://<HTTP_server>/rhcos-<version>-live-initramfs.<architecture>.img 3 boot
- 1
- Specify the locations of the RHCOS files that you uploaded to your HTTP server. The
kernel
parameter value is the location of thekernel
file, theinitrd=main
argument is needed for booting on UEFI systems, thecoreos.live.rootfs_url
parameter value is the location of therootfs
file, and thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file. - 2
- If you use multiple NICs, specify a single interface in the
ip
option. For example, to use DHCP on a NIC that is namedeno1
, setip=eno1:dhcp
. - 3
- Specify the location of the
initramfs
file that you uploaded to your HTTP server.
NoteThis configuration does not enable serial console access on machines with a graphical console To configure a different console, add one or more
console=
arguments to thekernel
line. For example, addconsole=tty0 console=ttyS0
to set the first PC serial port as the primary console and the graphical console as a secondary console. For more information, see How does one set up a serial terminal and/or console in Red Hat Enterprise Linux? and "Enabling the serial console for PXE and ISO installation" in the "Advanced RHCOS installation configuration" section.NoteTo network boot the CoreOS
kernel
onppc64le
architecture, you need to use a version of iPXE build with theIMAGE_GZIP
option enabled. SeeIMAGE_GZIP
option in iPXE.For PXE (with UEFI and GRUB as second stage) on
ppc64le
:menuentry 'Install CoreOS' { linux rhcos-<version>-live-kernel-<architecture> coreos.live.rootfs_url=http://<HTTP_server>/rhcos-<version>-live-rootfs.<architecture>.img coreos.inst.install_dev=/dev/sda coreos.inst.ignition_url=http://<HTTP_server>/worker.ign 1 2 initrd rhcos-<version>-live-initramfs.<architecture>.img 3 }
- 1
- Specify the locations of the RHCOS files that you uploaded to your HTTP/TFTP server. The
kernel
parameter value is the location of thekernel
file on your TFTP server. Thecoreos.live.rootfs_url
parameter value is the location of therootfs
file, and thecoreos.inst.ignition_url
parameter value is the location of the worker Ignition config file on your HTTP Server. - 2
- If you use multiple NICs, specify a single interface in the
ip
option. For example, to use DHCP on a NIC that is namedeno1
, setip=eno1:dhcp
. - 3
- Specify the location of the
initramfs
file that you uploaded to your TFTP server.
- Use the PXE or iPXE infrastructure to create the required compute machines for your cluster.
4.9.4. Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.29.4 master-1 Ready master 63m v1.29.4 master-2 Ready master 64m v1.29.4
The output lists all of the machines that you created.
NoteThe preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.
Review the pending CSRs and ensure that you see the client requests with the
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:NoteBecause the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.NoteFor clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the
oc exec
,oc rsh
, andoc logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, and confirm the identity of the node.To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
NoteSome Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> 1
- 1
<csr_name>
is the name of a CSR from the list of current CSRs.
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes -o wide
Example output
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME worker-0-ppc64le Ready worker 42d v1.29.5 192.168.200.21 <none> Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.ppc64le cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 worker-1-ppc64le Ready worker 42d v1.29.5 192.168.200.20 <none> Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.ppc64le cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 master-0-x86 Ready control-plane,master 75d v1.29.5 10.248.0.38 10.248.0.38 Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.x86_64 cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 master-1-x86 Ready control-plane,master 75d v1.29.5 10.248.0.39 10.248.0.39 Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.x86_64 cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 master-2-x86 Ready control-plane,master 75d v1.29.5 10.248.0.40 10.248.0.40 Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.x86_64 cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 worker-0-x86 Ready worker 75d v1.29.5 10.248.0.43 10.248.0.43 Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.x86_64 cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9 worker-1-x86 Ready worker 75d v1.29.5 10.248.0.44 10.248.0.44 Red Hat Enterprise Linux CoreOS 415.92.202309261919-0 (Plow) 5.14.0-284.34.1.el9_2.x86_64 cri-o://1.29.5-3.rhaos4.15.gitb36169e.el9
NoteIt can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
4.10. Managing a cluster with multi-architecture compute machines
4.10.1. Scheduling workloads on clusters with multi-architecture compute machines
Deploying a workload on a cluster with compute nodes of different architectures requires attention and monitoring of your cluster. There might be further actions you need to take in order to successfully place pods in the nodes of your cluster.
You can use the Multiarch Tuning Operator to enable architecture-aware scheduling of workloads on clusters with multi-architecture compute machines. The Multiarch Tuning Operator implements additional scheduler predicates in the pods specifications based on the architectures that the pods can support at creation time. For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
For more information on node affinity, scheduling, taints and tolerations, see the following documentation:
4.10.1.1. Sample multi-architecture node workload deployments
Before you schedule workloads on a cluster with compute nodes of different architectures, consider the following use cases:
- Using node affinity to schedule workloads on a node
You can allow a workload to be scheduled on only a set of nodes with architectures supported by its images, you can set the
spec.affinity.nodeAffinity
field in your pod’s template specification.Example deployment with the
nodeAffinity
set to certain architecturesapiVersion: apps/v1 kind: Deployment metadata: # ... spec: # ... template: # ... spec: affinity: nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/arch operator: In values: 1 - amd64 - arm64
- 1
- Specify the supported architectures. Valid values include
amd64
,arm64
, or both values.
- Tainting every node for a specific architecture
You can taint a node to avoid workloads that are not compatible with its architecture to be scheduled on that node. In the case where your cluster is using a
MachineSet
object, you can add parameters to the.spec.template.spec.taints
field to avoid workloads being scheduled on nodes with non-supported architectures.Before you can taint a node, you must scale down the
MachineSet
object or remove available machines. You can scale down the machine set by using one of following commands:$ oc scale --replicas=0 machineset <machineset> -n openshift-machine-api
Or:
$ oc edit machineset <machineset> -n openshift-machine-api
For more information on scaling machine sets, see "Modifying a compute machine set".
Example
MachineSet
with a taint setapiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: # ... spec: # ... template: # ... spec: # ... taints: - effect: NoSchedule key: multi-arch.openshift.io/arch value: arm64
You can also set a taint on a specific node by running the following command:
$ oc adm taint nodes <node-name> multi-arch.openshift.io/arch=arm64:NoSchedule
- Creating a default toleration
You can annotate a namespace so all of the workloads get the same default toleration by running the following command:
$ oc annotate namespace my-namespace \ 'scheduler.alpha.kubernetes.io/defaultTolerations'='[{"operator": "Exists", "effect": "NoSchedule", "key": "multi-arch.openshift.io/arch"}]'
- Tolerating architecture taints in workloads
On a node with a defined taint, workloads will not be scheduled on that node. However, you can allow them to be scheduled by setting a toleration in the pod’s specification.
Example deployment with a toleration
apiVersion: apps/v1 kind: Deployment metadata: # ... spec: # ... template: # ... spec: tolerations: - key: "multi-arch.openshift.io/arch" value: "arm64" operator: "Equal" effect: "NoSchedule"
This example deployment can also be allowed on nodes with the
multi-arch.openshift.io/arch=arm64
taint specified.- Using node affinity with taints and tolerations
When a scheduler computes the set of nodes to schedule a pod, tolerations can broaden the set while node affinity restricts the set. If you set a taint to the nodes of a specific architecture, the following example toleration is required for scheduling pods.
Example deployment with a node affinity and toleration set.
apiVersion: apps/v1 kind: Deployment metadata: # ... spec: # ... template: # ... spec: affinity: nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/arch operator: In values: - amd64 - arm64 tolerations: - key: "multi-arch.openshift.io/arch" value: "arm64" operator: "Equal" effect: "NoSchedule"
Additional resources
4.10.2. Enabling 64k pages on the Red Hat Enterprise Linux CoreOS (RHCOS) kernel
You can enable the 64k memory page in the Red Hat Enterprise Linux CoreOS (RHCOS) kernel on the 64-bit ARM compute machines in your cluster. The 64k page size kernel specification can be used for large GPU or high memory workloads. This is done using the Machine Config Operator (MCO) which uses a machine config pool to update the kernel. To enable 64k page sizes, you must dedicate a machine config pool for ARM64 to enable on the kernel.
Using 64k pages is exclusive to 64-bit ARM architecture compute nodes or clusters installed on 64-bit ARM machines. If you configure the 64k pages kernel on a machine config pool using 64-bit x86 machines, the machine config pool and MCO will degrade.
Prerequisites
-
You installed the OpenShift CLI (
oc
). - You created a cluster with compute nodes of different architecture on one of the supported platforms.
Procedure
Label the nodes where you want to run the 64k page size kernel:
$ oc label node <node_name> <label>
Example command
$ oc label node worker-arm64-01 node-role.kubernetes.io/worker-64k-pages=
Create a machine config pool that contains the worker role that uses the ARM64 architecture and the
worker-64k-pages
role:apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfigPool metadata: name: worker-64k-pages spec: machineConfigSelector: matchExpressions: - key: machineconfiguration.openshift.io/role operator: In values: - worker - worker-64k-pages nodeSelector: matchLabels: node-role.kubernetes.io/worker-64k-pages: "" kubernetes.io/arch: arm64
Create a machine config on your compute node to enable
64k-pages
with the64k-pages
parameter.$ oc create -f <filename>.yaml
Example MachineConfig
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfig metadata: labels: machineconfiguration.openshift.io/role: "worker-64k-pages" 1 name: 99-worker-64kpages spec: kernelType: 64k-pages 2
NoteThe
64k-pages
type is supported on only 64-bit ARM architecture based compute nodes. Therealtime
type is supported on only 64-bit x86 architecture based compute nodes.
Verification
To view your new
worker-64k-pages
machine config pool, run the following command:$ oc get mcp
Example output
NAME CONFIG UPDATED UPDATING DEGRADED MACHINECOUNT READYMACHINECOUNT UPDATEDMACHINECOUNT DEGRADEDMACHINECOUNT AGE master rendered-master-9d55ac9a91127c36314e1efe7d77fbf8 True False False 3 3 3 0 361d worker rendered-worker-e7b61751c4a5b7ff995d64b967c421ff True False False 7 7 7 0 361d worker-64k-pages rendered-worker-64k-pages-e7b61751c4a5b7ff995d64b967c421ff True False False 2 2 2 0 35m
4.10.3. Importing manifest lists in image streams on your multi-architecture compute machines
On an OpenShift Container Platform 4.16 cluster with multi-architecture compute machines, the image streams in the cluster do not import manifest lists automatically. You must manually change the default importMode
option to the PreserveOriginal
option in order to import the manifest list.
Prerequisites
-
You installed the OpenShift Container Platform CLI (
oc
).
Procedure
The following example command shows how to patch the
ImageStream
cli-artifacts so that thecli-artifacts:latest
image stream tag is imported as a manifest list.$ oc patch is/cli-artifacts -n openshift -p '{"spec":{"tags":[{"name":"latest","importPolicy":{"importMode":"PreserveOriginal"}}]}}'
Verification
You can check that the manifest lists imported properly by inspecting the image stream tag. The following command will list the individual architecture manifests for a particular tag.
$ oc get istag cli-artifacts:latest -n openshift -oyaml
If the
dockerImageManifests
object is present, then the manifest list import was successful.Example output of the
dockerImageManifests
objectdockerImageManifests: - architecture: amd64 digest: sha256:16d4c96c52923a9968fbfa69425ec703aff711f1db822e4e9788bf5d2bee5d77 manifestSize: 1252 mediaType: application/vnd.docker.distribution.manifest.v2+json os: linux - architecture: arm64 digest: sha256:6ec8ad0d897bcdf727531f7d0b716931728999492709d19d8b09f0d90d57f626 manifestSize: 1252 mediaType: application/vnd.docker.distribution.manifest.v2+json os: linux - architecture: ppc64le digest: sha256:65949e3a80349cdc42acd8c5b34cde6ebc3241eae8daaeea458498fedb359a6a manifestSize: 1252 mediaType: application/vnd.docker.distribution.manifest.v2+json os: linux - architecture: s390x digest: sha256:75f4fa21224b5d5d511bea8f92dfa8e1c00231e5c81ab95e83c3013d245d1719 manifestSize: 1252 mediaType: application/vnd.docker.distribution.manifest.v2+json os: linux
4.11. Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator
The Multiarch Tuning Operator optimizes workload management within multi-architecture clusters and in single-architecture clusters transitioning to multi-architecture environments.
Architecture-aware workload scheduling allows the scheduler to place pods onto nodes that match the architecture of the pod images.
By default, the scheduler does not consider the architecture of a pod’s container images when determining the placement of new pods onto nodes.
To enable architecture-aware workload scheduling, you must create the ClusterPodPlacementConfig
object. When you create the ClusterPodPlacementConfig
object, the Multiarch Tuning Operator deploys the necessary operands to support architecture-aware workload scheduling.
When a pod is created, the operands perform the following actions:
-
Add the
multiarch.openshift.io/scheduling-gate
scheduling gate that prevents the scheduling of the pod. -
Compute a scheduling predicate that includes the supported architecture values for the
kubernetes.io/arch
label. -
Integrate the scheduling predicate as a
nodeAffinity
requirement in the pod specification. - Remove the scheduling gate from the pod.
Note the following operand behaviors:
-
If the
nodeSelector
field is already configured with thekubernetes.io/arch
label for a workload, the operand does not update thenodeAffinity
field for that workload. -
If the
nodeSelector
field is not configured with thekubernetes.io/arch
label for a workload, the operand updates thenodeAffinity
field for that workload. However, in thatnodeAffinity
field, the operand updates only the node selector terms that are not configured with thekubernetes.io/arch
label. -
If the
nodeName
field is already set, the Multiarch Tuning Operator does not process the pod.
4.11.1. Installing the Multiarch Tuning Operator by using the CLI
You can install the Multiarch Tuning Operator by using the OpenShift CLI (oc
).
Prerequisites
-
You have installed
oc
. -
You have logged in to
oc
as a user withcluster-admin
privileges.
Procedure
Create a new project named
openshift-multiarch-tuning-operator
by running the following command:$ oc create ns openshift-multiarch-tuning-operator
Create an
OperatorGroup
object:Create a YAML file with the configuration for creating an
OperatorGroup
object.Example YAML configuration for creating an
OperatorGroup
objectapiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: openshift-multiarch-tuning-operator namespace: openshift-multiarch-tuning-operator spec: {}
Create the
OperatorGroup
object by running the following command:$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of the YAML file that contains theOperatorGroup
object configuration.
Create a
Subscription
object:Create a YAML file with the configuration for creating a
Subscription
object.Example YAML configuration for creating a
Subscription
objectapiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-multiarch-tuning-operator namespace: openshift-multiarch-tuning-operator spec: channel: tech-preview name: multiarch-tuning-operator source: redhat-operators sourceNamespace: openshift-marketplace installPlanApproval: Automatic startingCSV: multiarch-tuning-operator.v0.9.0
Create the
Subscription
object by running the following command:$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of the YAML file that contains theSubscription
object configuration.
For more details about configuring the Subscription
object and OperatorGroup
object, see "Installing from OperatorHub using the CLI".
Verification
To verify that the Multiarch Tuning Operator is installed, run the following command:
$ oc get csv -n openshift-multiarch-tuning-operator
Example output
NAME DISPLAY VERSION REPLACES PHASE multiarch-tuning-operator.v0.9.0 Multiarch Tuning Operator 0.9.0 Succeeded
The installation is successful if the Operator is in
Succeeded
phase.Optional: To verify that the
OperatorGroup
object is created, run the following command:$ oc get operatorgroup -n openshift-multiarch-tuning-operator
Example output
NAME AGE openshift-multiarch-tuning-operator-q8zbb 133m
Optional: To verify that the
Subscription
object is created, run the following command:$ oc get subscription -n openshift-multiarch-tuning-operator
Example output
NAME PACKAGE SOURCE CHANNEL multiarch-tuning-operator multiarch-tuning-operator multiarch-tuning-operator-catalog tech-preview
Additional resources
4.11.2. Installing the Multiarch Tuning Operator by using the web console
You can install the Multiarch Tuning Operator by using the OpenShift Container Platform web console.
Prerequisites
-
You have access to the cluster with
cluster-admin
privileges. - You have access to the OpenShift Container Platform web console.
Procedure
- Log in to the OpenShift Container Platform web console.
-
Navigate to Operators
OperatorHub. - Enter Multiarch Tuning Operator in the search field.
- Click Multiarch Tuning Operator.
- Select the Multiarch Tuning Operator version from the Version list.
- Click Install
Set the following options on the Operator Installation page:
- Set Update Channel to tech-preview.
- Set Installation Mode to All namespaces on the cluster.
Set Installed Namespace to Operator recommended Namespace or Select a Namespace.
The recommended Operator namespace is
openshift-multiarch-tuning-operator
. If theopenshift-multiarch-tuning-operator
namespace does not exist, it is created during the operator installation.If you select Select a namespace, you must select a namespace for the Operator from the Select Project list.
Update approval as Automatic or Manual.
If you select Automatic updates, Operator Lifecycle Manager (OLM) automatically updates the running instance of the Multiarch Tuning Operator without any intervention.
If you select Manual updates, OLM creates an update request. As a cluster administrator, you must manually approve the update request to update the Multiarch Tuning Operator to a newer version.
- Optional: Select the Enable Operator recommended cluster monitoring on this Namespace checkbox.
- Click Install.
Verification
-
Navigate to Operators
Installed Operators. -
Verify that the Multiarch Tuning Operator is listed with the Status field as Succeeded in the
openshift-multiarch-tuning-operator
namespace.
4.11.3. Multiarch Tuning Operator pod labels and architecture support overview
After installing the Multiarch Tuning Operator, you can verify the multi-architecture support for workloads in your cluster. You can identify and manage pods based on their architecture compatibility by using the pod labels. These labels are automatically set on the newly created pods to provide insights into their architecture support.
The following table describes the labels that the Multiarch Tuning Operator adds when you create a pod:
Label | Description |
---|---|
| The pod supports multiple architectures. |
| The pod supports only a single architecture. |
|
The pod supports the |
|
The pod supports the |
|
The pod supports the |
|
The pod supports the |
| The Operator has set the node affinity requirement for the architecture. |
| The Operator did not set the node affinity requirement. For example, when the pod already has a node affinity for the architecture, the Multiarch Tuning Operator adds this label to the pod. |
| The pod is gated. |
| The pod gate has been removed. |
| An error has occurred while building the node affinity requirements. |
4.11.4. Creating the ClusterPodPlacementConfig object
After installing the Multiarch Tuning Operator, you must create the ClusterPodPlacementConfig
object. When you create this object, the Multiarch Tuning Operator deploys an operand that enables architecture-aware workload scheduling.
You can create only one instance of the ClusterPodPlacementConfig
object.
Example ClusterPodPlacementConfig
object configuration
apiVersion: multiarch.openshift.io/v1beta1 kind: ClusterPodPlacementConfig metadata: name: cluster 1 spec: logVerbosityLevel: Normal 2 namespaceSelector: 3 matchExpressions: - key: multiarch.openshift.io/exclude-pod-placement operator: DoesNotExist
- 1
- You must set this field value to
cluster
. - 2
- Optional: You can set the field value to
Normal
,Debug
,Trace
, orTraceAll
. The value is set toNormal
by default. - 3
- Optional: You can configure the
namespaceSelector
to select the namespaces in which the Multiarch Tuning Operator’s pod placement operand must process thenodeAffinity
of the pods. All namespaces are considered by default.
In this example, the operator
field value is set to DoesNotExist
. Therefore, if the key
field value (multiarch.openshift.io/exclude-pod-placement
) is set as a label in a namespace, the operand does not process the nodeAffinity
of the pods in that namespace. Instead, the operand processes the nodeAffinity
of the pods in namespaces that do not contain the label.
If you want the operand to process the nodeAffinity
of the pods only in specific namespaces, you can configure the namespaceSelector
as follows:
namespaceSelector: matchExpressions: - key: multiarch.openshift.io/include-pod-placement operator: Exists
In this example, the operator
field value is set to Exists
. Therefore, the operand processes the nodeAffinity
of the pods only in namespaces that contain the multiarch.openshift.io/include-pod-placement
label.
This Operator excludes pods in namespaces starting with kube-
. It also excludes pods that are expected to be scheduled on control plane nodes.
4.11.4.1. Creating the ClusterPodPlacementConfig object by using the CLI
To deploy the pod placement operand that enables architecture-aware workload scheduling, you can create the ClusterPodPlacementConfig
object by using the OpenShift CLI (oc
).
Prerequisites
-
You have installed
oc
. -
You have logged in to
oc
as a user withcluster-admin
privileges. - You have installed the Multiarch Tuning Operator.
Procedure
Create a
ClusterPodPlacementConfig
object YAML file:Example
ClusterPodPlacementConfig
object configurationapiVersion: multiarch.openshift.io/v1beta1 kind: ClusterPodPlacementConfig metadata: name: cluster spec: logVerbosityLevel: Normal namespaceSelector: matchExpressions: - key: multiarch.openshift.io/exclude-pod-placement operator: DoesNotExist
Create the
ClusterPodPlacementConfig
object by running the following command:$ oc create -f <file_name> 1
- 1
- Replace
<file_name>
with the name of theClusterPodPlacementConfig
object YAML file.
Verification
To check that the
ClusterPodPlacementConfig
object is created, run the following command:$ oc get clusterpodplacementconfig
Example output
NAME AGE cluster 29s
4.11.4.2. Creating the ClusterPodPlacementConfig object by using the web console
To deploy the pod placement operand that enables architecture-aware workload scheduling, you can create the ClusterPodPlacementConfig
object by using the OpenShift Container Platform web console.
Prerequisites
-
You have access to the cluster with
cluster-admin
privileges. - You have access to the OpenShift Container Platform web console.
- You have installed the Multiarch Tuning Operator.
Procedure
- Log in to the OpenShift Container Platform web console.
-
Navigate to Operators
Installed Operators. - On the Installed Operators page, click Multiarch Tuning Operator.
- Click the Cluster Pod Placement Config tab.
- Select either Form view or YAML view.
-
Configure the
ClusterPodPlacementConfig
object parameters. - Click Create.
Optional: If you want to edit the
ClusterPodPlacementConfig
object, perform the following actions:- Click the Cluster Pod Placement Config tab.
- Select Edit ClusterPodPlacementConfig from the options menu.
-
Click YAML and edit the
ClusterPodPlacementConfig
object parameters. - Click Save.
Verification
-
On the Cluster Pod Placement Config page, check that the
ClusterPodPlacementConfig
object is in theReady
state.
4.11.5. Deleting the ClusterPodPlacementConfig object by using the CLI
You can create only one instance of the ClusterPodPlacementConfig
object. If you want to re-create this object, you must first delete the existing instance.
You can delete this object by using the OpenShift CLI (oc
).
Prerequisites
-
You have installed
oc
. -
You have logged in to
oc
as a user withcluster-admin
privileges.
Procedure
-
Log in to the OpenShift CLI (
oc
). Delete the
ClusterPodPlacementConfig
object by running the following command:$ oc delete clusterpodplacementconfig cluster
Verification
To check that the
ClusterPodPlacementConfig
object is deleted, run the following command:$ oc get clusterpodplacementconfig
Example output
No resources found
4.11.6. Deleting the ClusterPodPlacementConfig object by using the web console
You can create only one instance of the ClusterPodPlacementConfig
object. If you want to re-create this object, you must first delete the existing instance.
You can delete this object by using the OpenShift Container Platform web console.
Prerequisites
-
You have access to the cluster with
cluster-admin
privileges. - You have access to the OpenShift Container Platform web console.
-
You have created the
ClusterPodPlacementConfig
object.
Procedure
- Log in to the OpenShift Container Platform web console.
-
Navigate to Operators
Installed Operators. - On the Installed Operators page, click Multiarch Tuning Operator.
- Click the Cluster Pod Placement Config tab.
- Select Delete ClusterPodPlacementConfig from the options menu.
- Click Delete.
Verification
-
On the Cluster Pod Placement Config page, check that the
ClusterPodPlacementConfig
object has been deleted.
4.11.7. Uninstalling the Multiarch Tuning Operator by using the CLI
You can uninstall the Multiarch Tuning Operator by using the OpenShift CLI (oc
).
Prerequisites
-
You have installed
oc
. -
You have logged in to
oc
as a user withcluster-admin
privileges. You deleted the
ClusterPodPlacementConfig
object.ImportantYou must delete the
ClusterPodPlacementConfig
object before uninstalling the Multiarch Tuning Operator. Uninstalling the Operator without deleting theClusterPodPlacementConfig
object can lead to unexpected behavior.
Procedure
Get the
Subscription
object name for the Multiarch Tuning Operator by running the following command:$ oc get subscription.operators.coreos.com -n <namespace> 1
- 1
- Replace
<namespace>
with the name of the namespace where you want to uninstall the Multiarch Tuning Operator.
Example output
NAME PACKAGE SOURCE CHANNEL openshift-multiarch-tuning-operator multiarch-tuning-operator redhat-operators tech-preview
Get the
currentCSV
value for the Multiarch Tuning Operator by running the following command:$ oc get subscription.operators.coreos.com <subscription_name> -n <namespace> -o yaml | grep currentCSV 1
- 1
- Replace
<subscription_name>
with theSubscription
object name. For example:openshift-multiarch-tuning-operator
. Replace<namespace>
with the name of the namespace where you want to uninstall the Multiarch Tuning Operator.
Example output
currentCSV: multiarch-tuning-operator.v0.9.0
Delete the
Subscription
object by running the following command:$ oc delete subscription.operators.coreos.com <subscription_name> -n <namespace> 1
- 1
- Replace
<subscription_name>
with theSubscription
object name. Replace<namespace>
with the name of the namespace where you want to uninstall the Multiarch Tuning Operator.
Example output
subscription.operators.coreos.com "openshift-multiarch-tuning-operator" deleted
Delete the CSV for the Multiarch Tuning Operator in the target namespace using the
currentCSV
value by running the following command:$ oc delete clusterserviceversion <currentCSV_value> -n <namespace> 1
- 1
- Replace
<currentCSV>
with thecurrentCSV
value for the Multiarch Tuning Operator. For example:multiarch-tuning-operator.v0.9.0
. Replace<namespace>
with the name of the namespace where you want to uninstall the Multiarch Tuning Operator.
Example output
clusterserviceversion.operators.coreos.com "multiarch-tuning-operator.v0.9.0" deleted
Verification
To verify that the Multiarch Tuning Operator is uninstalled, run the following command:
$ oc get csv -n <namespace> 1
- 1
- Replace
<namespace>
with the name of the namespace where you have uninstalled the Multiarch Tuning Operator.
Example output
No resources found in openshift-multiarch-tuning-operator namespace.
4.11.8. Uninstalling the Multiarch Tuning Operator by using the web console
You can uninstall the Multiarch Tuning Operator by using the OpenShift Container Platform web console.
Prerequisites
-
You have access to the cluster with
cluster-admin
permissions. You deleted the
ClusterPodPlacementConfig
object.ImportantYou must delete the
ClusterPodPlacementConfig
object before uninstalling the Multiarch Tuning Operator. Uninstalling the Operator without deleting theClusterPodPlacementConfig
object can lead to unexpected behavior.
Procedure
- Log in to the OpenShift Container Platform web console.
-
Navigate to Operators
OperatorHub. - Enter Multiarch Tuning Operator in the search field.
- Click Multiarch Tuning Operator.
- Click the Details tab.
- From the Actions menu, select Uninstall Operator.
- When prompted, click Uninstall.
Verification
-
Navigate to Operators
Installed Operators. - On the Installed Operators page, verify that the Multiarch Tuning Operator is not listed.
4.12. Multiarch Tuning Operator release notes
The Multiarch Tuning Operator optimizes workload management within multi-architecture clusters and in single-architecture clusters transitioning to multi-architecture environments.
These release notes track the development of the Multiarch Tuning Operator.
For more information, see Managing workloads on multi-architecture clusters by using the Multiarch Tuning Operator.
4.12.1. Release notes for the Multiarch Tuning Operator 1.0.0
Issued: 31 October 2024
4.12.1.1. New features and enhancements
- With this release, the Multiarch Tuning Operator supports custom network scenarios and cluster-wide custom registries configurations.
- With this release, you can identify pods based on their architecture compatibility by using the pod labels that the Multiarch Tuning Operator adds to newly created pods.
- With this release, you can monitor the behavior of the Multiarch Tuning Operator by using the metrics and alerts that are registered in the Cluster Monitoring Operator.