Chapter 4. Deploying OpenShift sandboxed containers on Azure
You can deploy OpenShift sandboxed containers on Microsoft Azure Cloud Computing Services.
OpenShift sandboxed containers deploys peer pods. The peer pod design circumvents the need for nested virtualization. For more information, see peer pods.
Cluster requirements
- You have installed Red Hat OpenShift Container Platform 4.14 or later on the cluster where you are installing the OpenShift sandboxed containers Operator.
- Your cluster has at least one worker node.
4.1. Peer pod resource requirements
You must ensure that your cluster has sufficient resources.
Peer pod virtual machines (VMs) require resources in two locations:
-
The worker node. The worker node stores metadata, Kata shim resources (
containerd-shim-kata-v2
), remote-hypervisor resources (cloud-api-adaptor
), and the tunnel setup between the worker nodes and the peer pod VM. - The cloud instance. This is the actual peer pod VM running in the cloud.
The CPU and memory resources used in the Kubernetes worker node are handled by the pod overhead included in the RuntimeClass (kata-remote
) definition used for creating peer pods.
The total number of peer pod VMs running in the cloud is defined as Kubernetes Node extended resources. This limit is per node and is set by the limit
attribute in the peerpodConfig
custom resource (CR).
The peerpodConfig
CR, named peerpodconfig-openshift
, is created when you create the kataConfig
CR and enable peer pods, and is located in the openshift-sandboxed-containers-operator
namespace.
The following peerpodConfig
CR example displays the default spec
values:
apiVersion: confidentialcontainers.org/v1alpha1
kind: PeerPodConfig
metadata:
name: peerpodconfig-openshift
namespace: openshift-sandboxed-containers-operator
spec:
cloudSecretName: peer-pods-secret
configMapName: peer-pods-cm
limit: "10" 1
nodeSelector:
node-role.kubernetes.io/kata-oc: ""
- 1
- The default limit is 10 VMs per node.
The extended resource is named kata.peerpods.io/vm
, and enables the Kubernetes scheduler to handle capacity tracking and accounting.
You can edit the limit per node based on the requirements for your environment after you install the OpenShift sandboxed containers Operator.
A mutating webhook adds the extended resource kata.peerpods.io/vm
to the pod specification. It also removes any resource-specific entries from the pod specification, if present. This enables the Kubernetes scheduler to account for these extended resources, ensuring the peer pod is only scheduled when resources are available.
The mutating webhook modifies a Kubernetes pod as follows:
-
The mutating webhook checks the pod for the expected
RuntimeClassName
value, specified in theTARGET_RUNTIME_CLASS
environment variable. If the value in the pod specification does not match the value in theTARGET_RUNTIME_CLASS
, the webhook exits without modifying the pod. If the
RuntimeClassName
values match, the webhook makes the following changes to the pod spec:-
The webhook removes every resource specification from the
resources
field of all containers and init containers in the pod. -
The webhook adds the extended resource (
kata.peerpods.io/vm
) to the spec by modifying the resources field of the first container in the pod. The extended resourcekata.peerpods.io/vm
is used by the Kubernetes scheduler for accounting purposes.
-
The webhook removes every resource specification from the
The mutating webhook excludes specific system namespaces in OpenShift Container Platform from mutation. If a peer pod is created in those system namespaces, then resource accounting using Kubernetes extended resources does not work unless the pod spec includes the extended resource.
As a best practice, define a cluster-wide policy to only allow peer pod creation in specific namespaces.
4.2. Deploying OpenShift sandboxed containers by using the web console
You can deploy OpenShift sandboxed containers on Azure by using the OpenShift Container Platform web console to perform the following tasks:
- Install the OpenShift sandboxed containers Operator.
- Create the peer pods secret.
- Create the peer pods config map.
- Create the Azure secret.
-
Create the
KataConfig
custom resource. - Configure the OpenShift sandboxed containers workload objects.
4.2.1. Installing the OpenShift sandboxed containers Operator
You can install the OpenShift sandboxed containers Operator by using the OpenShift Container Platform web console.
Prerequisites
-
You have access to the cluster as a user with the
cluster-admin
role.
Procedure
-
In the web console, navigate to Operators
OperatorHub. -
In the Filter by keyword field, type
OpenShift sandboxed containers
. - Select the OpenShift sandboxed containers Operator tile and click Install.
- On the Install Operator page, select stable from the list of available Update Channel options.
Verify that Operator recommended Namespace is selected for Installed Namespace. This installs the Operator in the mandatory
openshift-sandboxed-containers-operator
namespace. If this namespace does not yet exist, it is automatically created.NoteAttempting to install the OpenShift sandboxed containers Operator in a namespace other than
openshift-sandboxed-containers-operator
causes the installation to fail.- Verify that Automatic is selected for Approval Strategy. Automatic is the default value, and enables automatic updates to OpenShift sandboxed containers when a new z-stream release is available.
- Click Install.
-
Navigate to Operators
Installed Operators to verify that the Operator is installed.
Additional resources
- Using Operator Lifecycle Manager on restricted networks.
- Configuring proxy support in Operator Lifecycle Manager for disconnected environments.
4.2.2. Creating the peer pods secret
You must create the peer pods secret for OpenShift sandboxed containers.
The secret stores credentials for creating the pod virtual machine (VM) image and peer pod instances.
By default, the OpenShift sandboxed containers Operator creates the secret based on the credentials used to create the cluster. However, you can manually create a secret that uses different credentials.
Prerequisites
- You have installed and configured the Azure CLI tool.
Procedure
Retrieve the Azure subscription ID by running the following command:
$ AZURE_SUBSCRIPTION_ID=$(az account list --query "[?isDefault].id" \ -o tsv) && echo "AZURE_SUBSCRIPTION_ID: \"$AZURE_SUBSCRIPTION_ID\""
Generate the RBAC content by running the following command:
$ az ad sp create-for-rbac --role Contributor --scopes /subscriptions/$AZURE_SUBSCRIPTION_ID \ --query "{ client_id: appId, client_secret: password, tenant_id: tenant }"
Example output
{ "client_id": `AZURE_CLIENT_ID`, "client_secret": `AZURE_CLIENT_SECRET`, "tenant_id": `AZURE_TENANT_ID` }
-
Record the RBAC output to use in the
secret
object. -
In the OpenShift Container Platform web console, navigate to Operators
Installed Operators. - Click the OpenShift sandboxed containers Operator tile.
- Click the Import icon (+) on the top right corner.
In the Import YAML window, paste the following YAML manifest:
apiVersion: v1 kind: Secret metadata: name: peer-pods-secret namespace: openshift-sandboxed-containers-operator type: Opaque stringData: AZURE_CLIENT_ID: "<azure_client_id>" 1 AZURE_CLIENT_SECRET: "<azure_client_secret>" 2 AZURE_TENANT_ID: "<azure_tenant_id>" 3 AZURE_SUBSCRIPTION_ID: "<azure_subscription_id>" 4
- Click Save to apply the changes.
-
Navigate to Workloads
Secrets to verify the peer pods secret.
4.2.3. Creating the peer pods config map
You must create the peer pods config map for OpenShift sandboxed containers.
Procedure
Obtain the following values from your Azure instance:
Retrieve and record the Azure resource group:
$ AZURE_RESOURCE_GROUP=$(oc get infrastructure/cluster -o jsonpath='{.status.platformStatus.azure.resourceGroupName}') && echo "AZURE_RESOURCE_GROUP: \"$AZURE_RESOURCE_GROUP\""
Retrieve and record the Azure VNet name:
$ AZURE_VNET_NAME=$(az network vnet list --resource-group ${AZURE_RESOURCE_GROUP} --query "[].{Name:name}" --output tsv)
This value is used to retrieve the Azure subnet ID.
Retrieve and record the Azure subnet ID:
$ AZURE_SUBNET_ID=$(az network vnet subnet list --resource-group ${AZURE_RESOURCE_GROUP} --vnet-name $AZURE_VNET_NAME --query "[].{Id:id} | [? contains(Id, 'worker')]" --output tsv) && echo "AZURE_SUBNET_ID: \"$AZURE_SUBNET_ID\""
Retrieve and record the Azure network security group (NSG) ID:
$ AZURE_NSG_ID=$(az network nsg list --resource-group ${AZURE_RESOURCE_GROUP} --query "[].{Id:id}" --output tsv) && echo "AZURE_NSG_ID: \"$AZURE_NSG_ID\""
Retrieve and record the Azure region:
$ AZURE_REGION=$(az group show --resource-group ${AZURE_RESOURCE_GROUP} --query "{Location:location}" --output tsv) && echo "AZURE_REGION: \"$AZURE_REGION\""
-
In the OpenShift Container Platform web console, navigate to Operators
Installed Operators. - Select the OpenShift sandboxed containers Operator from the list of operators.
- Click the Import icon (+) in the top right corner.
In the Import YAML window, paste the following YAML manifest:
apiVersion: v1 kind: ConfigMap metadata: name: peer-pods-cm namespace: openshift-sandboxed-containers-operator data: CLOUD_PROVIDER: "azure" VXLAN_PORT: "9000" AZURE_INSTANCE_SIZE: "Standard_B2als_v2" 1 AZURE_INSTANCE_SIZES: "Standard_B2als_v2,Standard_D2as_v5,Standard_D4as_v5,Standard_D2ads_v5" 2 AZURE_SUBNET_ID: "<azure_subnet_id>" 3 AZURE_NSG_ID: "<azure_nsg_id>" 4 PROXY_TIMEOUT: "5m" AZURE_IMAGE_ID: "<azure_image_id>" 5 AZURE_REGION: "<azure_region>" 6 AZURE_RESOURCE_GROUP: "<azure_resource_group>" 7 DISABLECVM: "true"
- 1
- This value is the default if an instance size is not defined in the workload.
- 2
- Lists all of the instance sizes you can specify when creating the pod. This allows you to define smaller instance sizes for workloads that need less memory and fewer CPUs or larger instance sizes for larger workloads.
- 3
- Specify the
AZURE_SUBNET_ID
value that you retrieved. - 4
- Specify the
AZURE_NSG_ID
value that you retrieved. - 5
- Optional: By default, this value is populated when you run the
KataConfig
CR, using an Azure image ID based on your cluster credentials. If you create your own Azure image, specify the correct image ID. - 6
- Specify the
AZURE_REGION
value you retrieved. - 7
- Specify the
AZURE_RESOURCE_GROUP
value you retrieved.
- Click Save to apply the changes.
-
Navigate to Workloads
ConfigMaps to view the new config map.
4.2.4. Creating the Azure secret
You must create the SSH key secret, which is required by the Azure virtual machine (VM) creation API. Azure only requires the SSH public key. Confidential Containers disables SSH in VMs, so the keys have no effect in the VMs.
Procedure
Generate an SSH key pair by running the following command:
$ ssh-keygen -f ./id_rsa -N ""
-
In the OpenShift Container Platform web console, navigate to Workloads
Secrets. - On the Secrets page, verify that you are in the openshift-sandboxed-containers-operator project.
- Click Create and select Key/value secret.
-
In the Secret name field, enter
ssh-key-secret
. -
In the Key field, enter
id_rsa.pub
. - In the Value field, paste your public SSH key.
- Click Create.
Delete the SSH keys you created:
$ shred --remove id_rsa.pub id_rsa
4.2.5. Creating the KataConfig custom resource
You must create the KataConfig
custom resource (CR) to install kata-remote
as a RuntimeClass
on your worker nodes.
The kata-remote
runtime class is installed on all worker nodes by default. If you want to install kata-remote
on specific nodes, you can add labels to those nodes and then define the label in the KataConfig
CR.
OpenShift sandboxed containers installs kata-remote
as a secondary, optional runtime on the cluster and not as the primary runtime.
Creating the KataConfig
CR automatically reboots the worker nodes. The reboot can take from 10 to more than 60 minutes. The following factors might increase the reboot time:
- A larger OpenShift Container Platform deployment with a greater number of worker nodes.
- Activation of the BIOS and Diagnostics utility.
- Deployment on a hard disk drive rather than an SSD.
- Deployment on physical nodes such as bare metal, rather than on virtual nodes.
- A slow CPU and network.
Prerequisites
-
You have access to the cluster as a user with the
cluster-admin
role. - Optional: You have installed the Node Feature Discovery Operator if you want to enable node eligibility checks.
Procedure
-
In the OpenShift Container Platform web console, navigate to Operators
Installed Operators. - Select the OpenShift sandboxed containers Operator.
- On the KataConfig tab, click Create KataConfig.
Enter the following details:
-
Name: Optional: The default name is
example-kataconfig
. -
Labels: Optional: Enter any relevant, identifying attributes to the
KataConfig
resource. Each label represents a key-value pair. - enablePeerPods: Select for public cloud, IBM Z®, and IBM® LinuxONE deployments.
kataConfigPoolSelector. Optional: To install
kata-remote
on selected nodes, add a match expression for the labels on the selected nodes:- Expand the kataConfigPoolSelector area.
- In the kataConfigPoolSelector area, expand matchExpressions. This is a list of label selector requirements.
- Click Add matchExpressions.
- In the Key field, enter the label key the selector applies to.
-
In the Operator field, enter the key’s relationship to the label values. Valid operators are
In
,NotIn
,Exists
, andDoesNotExist
. - Expand the Values area and then click Add value.
-
In the Value field, enter
true
orfalse
for key label value.
-
logLevel: Define the level of log data retrieved for nodes with the
kata-remote
runtime class.
-
Name: Optional: The default name is
Click Create. The
KataConfig
CR is created and installs thekata-remote
runtime class on the worker nodes.Wait for the
kata-remote
installation to complete and the worker nodes to reboot before verifying the installation.
Verification
-
On the KataConfig tab, click the
KataConfig
CR to view its details. Click the YAML tab to view the
status
stanza.The
status
stanza contains theconditions
andkataNodes
keys. The value ofstatus.kataNodes
is an array of nodes, each of which lists nodes in a particular state ofkata-remote
installation. A message appears each time there is an update.Click Reload to refresh the YAML.
When all workers in the
status.kataNodes
array display the valuesinstalled
andconditions.InProgress: False
with no specified reason, thekata-remote
is installed on the cluster.
Additional resources
Verifying the pod VM image
After kata-remote
is installed on your cluster, the OpenShift sandboxed containers Operator creates a pod VM image, which is used to create peer pods. This process can take a long time because the image is created on the cloud instance. You can verify that the pod VM image was created successfully by checking the config map that you created for the cloud provider.
Procedure
-
Navigate to Workloads
ConfigMaps. - Click the provider config map to view its details.
- Click the YAML tab.
Check the
status
stanza of the YAML file.If the
AZURE_IMAGE_ID
parameter is populated, the pod VM image was created successfully.
Troubleshooting
Retrieve the events log by running the following command:
$ oc get events -n openshift-sandboxed-containers-operator --field-selector involvedObject.name=osc-podvm-image-creation
Retrieve the job log by running the following command:
$ oc logs -n openshift-sandboxed-containers-operator jobs/osc-podvm-image-creation
If you cannot resolve the issue, submit a Red Hat Support case and attach the output of both logs.
4.2.6. Configuring workload objects
You must configure OpenShift sandboxed containers workload objects by setting kata-remote
as the runtime class for the following pod-templated objects:
-
Pod
objects -
ReplicaSet
objects -
ReplicationController
objects -
StatefulSet
objects -
Deployment
objects -
DeploymentConfig
objects
Do not deploy workloads in an Operator namespace. Create a dedicated namespace for these resources.
You can define whether the workload should be deployed using the default instance size, which you defined in the config map, by adding an annotation to the YAML file.
If you do not want to define the instance size manually, you can add an annotation to use an automatic instance size, based on the memory available.
Prerequisites
-
You have created the
KataConfig
custom resource (CR).
Procedure
-
In the OpenShift Container Platform web console, navigate to Workloads
workload type, for example, Pods. - On the workload type page, click an object to view its details.
- Click the YAML tab.
Add
spec.runtimeClassName: kata-remote
to the manifest of each pod-templated workload object as in the following example:apiVersion: v1 kind: <object> # ... spec: runtimeClassName: kata-remote # ...
Add an annotation to the pod-templated object to use a manually defined instance size or an automatic instance size:
To use a manually defined instance size, add the following annotation:
apiVersion: v1 kind: <object> metadata: annotations: io.katacontainers.config.hypervisor.machine_type: "Standard_B2als_v2" 1 # ...
- 1
- Specify the instance size that you defined in the config map.
To use an automatic instance size, add the following annotations:
apiVersion: v1 kind: <Pod> metadata: annotations: io.katacontainers.config.hypervisor.default_vcpus: <vcpus> io.katacontainers.config.hypervisor.default_memory: <memory> # ...
Define the amount of memory available for the workload to use. The workload will run on an automatic instance size based on the amount of memory available.
Click Save to apply the changes.
OpenShift Container Platform creates the workload object and begins scheduling it.
Verification
-
Inspect the
spec.runtimeClassName
field of a pod-templated object. If the value iskata-remote
, then the workload is running on OpenShift sandboxed containers, using peer pods.
4.3. Deploying OpenShift sandboxed containers by using the command line
You can deploy OpenShift sandboxed containers on Azure by using the command line interface (CLI) to perform the following tasks:
- Install the OpenShift sandboxed containers Operator.
- Optional: Change the number of virtual machines running on each worker node.
- Create the peer pods secret.
- Create the peer pods config map.
- Create the Azure secret.
-
Create the
KataConfig
custom resource. - Configure the OpenShift sandboxed containers workload objects.
4.3.1. Installing the OpenShift sandboxed containers Operator
You can install the OpenShift sandboxed containers Operator by using the CLI.
Prerequisites
-
You have installed the OpenShift CLI (
oc
). -
You have access to the cluster as a user with the
cluster-admin
role.
Procedure
Create an
osc-namespace.yaml
manifest file:apiVersion: v1 kind: Namespace metadata: name: openshift-sandboxed-containers-operator
Create the namespace by running the following command:
$ oc apply -f osc-namespace.yaml
Create an
osc-operatorgroup.yaml
manifest file:apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: sandboxed-containers-operator-group namespace: openshift-sandboxed-containers-operator spec: targetNamespaces: - openshift-sandboxed-containers-operator
Create the operator group by running the following command:
$ oc apply -f osc-operatorgroup.yaml
Create an
osc-subscription.yaml
manifest file:apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: sandboxed-containers-operator namespace: openshift-sandboxed-containers-operator spec: channel: stable installPlanApproval: Automatic name: sandboxed-containers-operator source: redhat-operators sourceNamespace: openshift-marketplace startingCSV: sandboxed-containers-operator.v1.8.0
Create the subscription by running the following command:
$ oc apply -f osc-subscription.yaml
Verify that the Operator is correctly installed by running the following command:
$ oc get csv -n openshift-sandboxed-containers-operator
This command can take several minutes to complete.
Watch the process by running the following command:
$ watch oc get csv -n openshift-sandboxed-containers-operator
Example output
NAME DISPLAY VERSION REPLACES PHASE openshift-sandboxed-containers openshift-sandboxed-containers-operator 1.8.0 1.7.0 Succeeded
Additional resources
- Using Operator Lifecycle Manager on restricted networks.
- Configuring proxy support in Operator Lifecycle Manager for disconnected environments.
4.3.2. Modifying the number of peer pod VMs per node
You can change the limit of peer pod virtual machines (VMs) per node by editing the peerpodConfig
custom resource (CR).
Procedure
Check the current limit by running the following command:
$ oc get peerpodconfig peerpodconfig-openshift -n openshift-sandboxed-containers-operator \ -o jsonpath='{.spec.limit}{"\n"}'
Modify the
limit
attribute of thepeerpodConfig
CR by running the following command:$ oc patch peerpodconfig peerpodconfig-openshift -n openshift-sandboxed-containers-operator \ --type merge --patch '{"spec":{"limit":"<value>"}}' 1
- 1
- Replace <value> with the limit you want to define.
4.3.3. Creating the peer pods secret
You must create the peer pods secret for OpenShift sandboxed containers.
The secret stores credentials for creating the pod virtual machine (VM) image and peer pod instances.
By default, the OpenShift sandboxed containers Operator creates the secret based on the credentials used to create the cluster. However, you can manually create a secret that uses different credentials.
Prerequisites
- You have installed and configured the Azure CLI tool.
Procedure
Retrieve the Azure subscription ID by running the following command:
$ AZURE_SUBSCRIPTION_ID=$(az account list --query "[?isDefault].id" \ -o tsv) && echo "AZURE_SUBSCRIPTION_ID: \"$AZURE_SUBSCRIPTION_ID\""
Generate the RBAC content by running the following command:
$ az ad sp create-for-rbac --role Contributor --scopes /subscriptions/$AZURE_SUBSCRIPTION_ID \ --query "{ client_id: appId, client_secret: password, tenant_id: tenant }"
Example output
{ "client_id": `AZURE_CLIENT_ID`, "client_secret": `AZURE_CLIENT_SECRET`, "tenant_id": `AZURE_TENANT_ID` }
-
Record the RBAC output to use in the
secret
object. Create a
peer-pods-secret.yaml
manifest file according to the following example:apiVersion: v1 kind: Secret metadata: name: peer-pods-secret namespace: openshift-sandboxed-containers-operator type: Opaque stringData: AZURE_CLIENT_ID: "<azure_client_id>" 1 AZURE_CLIENT_SECRET: "<azure_client_secret>" 2 AZURE_TENANT_ID: "<azure_tenant_id>" 3 AZURE_SUBSCRIPTION_ID: "<azure_subscription_id>" 4
Create the secret by running the following command:
$ oc apply -f peer-pods-secret.yaml
4.3.4. Creating the peer pods config map
You must create the peer pods config map for OpenShift sandboxed containers.
Procedure
Obtain the following values from your Azure instance:
Retrieve and record the Azure resource group:
$ AZURE_RESOURCE_GROUP=$(oc get infrastructure/cluster -o jsonpath='{.status.platformStatus.azure.resourceGroupName}') && echo "AZURE_RESOURCE_GROUP: \"$AZURE_RESOURCE_GROUP\""
Retrieve and record the Azure VNet name:
$ AZURE_VNET_NAME=$(az network vnet list --resource-group ${AZURE_RESOURCE_GROUP} --query "[].{Name:name}" --output tsv)
This value is used to retrieve the Azure subnet ID.
Retrieve and record the Azure subnet ID:
$ AZURE_SUBNET_ID=$(az network vnet subnet list --resource-group ${AZURE_RESOURCE_GROUP} --vnet-name $AZURE_VNET_NAME --query "[].{Id:id} | [? contains(Id, 'worker')]" --output tsv) && echo "AZURE_SUBNET_ID: \"$AZURE_SUBNET_ID\""
Retrieve and record the Azure network security group (NSG) ID:
$ AZURE_NSG_ID=$(az network nsg list --resource-group ${AZURE_RESOURCE_GROUP} --query "[].{Id:id}" --output tsv) && echo "AZURE_NSG_ID: \"$AZURE_NSG_ID\""
Retrieve and record the Azure region:
$ AZURE_REGION=$(az group show --resource-group ${AZURE_RESOURCE_GROUP} --query "{Location:location}" --output tsv) && echo "AZURE_REGION: \"$AZURE_REGION\""
Create a
peer-pods-cm.yaml
manifest file according to the following example:apiVersion: v1 kind: ConfigMap metadata: name: peer-pods-cm namespace: openshift-sandboxed-containers-operator data: CLOUD_PROVIDER: "azure" VXLAN_PORT: "9000" AZURE_INSTANCE_SIZE: "Standard_B2als_v2" 1 AZURE_INSTANCE_SIZES: "Standard_B2als_v2,Standard_D2as_v5,Standard_D4as_v5,Standard_D2ads_v5" 2 AZURE_SUBNET_ID: "<azure_subnet_id>" 3 AZURE_NSG_ID: "<azure_nsg_id>" 4 PROXY_TIMEOUT: "5m" AZURE_IMAGE_ID: "<azure_image_id>" 5 AZURE_REGION: "<azure_region>" 6 AZURE_RESOURCE_GROUP: "<azure_resource_group>" 7 DISABLECVM: "true"
- 1
- This value is the default if an instance size is not defined in the workload.
- 2
- Lists all of the instance sizes you can specify when creating the pod. This allows you to define smaller instance sizes for workloads that need less memory and fewer CPUs or larger instance sizes for larger workloads.
- 3
- Specify the
AZURE_SUBNET_ID
value that you retrieved. - 4
- Specify the
AZURE_NSG_ID
value that you retrieved. - 5
- Optional: By default, this value is populated when you run the
KataConfig
CR, using an Azure image ID based on your cluster credentials. If you create your own Azure image, specify the correct image ID. - 6
- Specify the
AZURE_REGION
value you retrieved. - 7
- Specify the
AZURE_RESOURCE_GROUP
value you retrieved.
Create the config map by running the following command:
$ oc apply -f peer-pods-cm.yaml
4.3.5. Creating the Azure secret
You must create the SSH key secret, which is required by the Azure virtual machine (VM) creation API. Azure only requires the SSH public key. Confidential Containers disables SSH in VMs, so the keys have no effect in the VMs.
Procedure
Generate an SSH key pair by running the following command:
$ ssh-keygen -f ./id_rsa -N ""
Create the
Secret
object by running the following command:$ oc create secret generic ssh-key-secret \ -n openshift-sandboxed-containers-operator \ --from-file=id_rsa.pub=./id_rsa.pub \ --from-file=id_rsa=./id_rsa
Delete the SSH keys you created:
$ shred --remove id_rsa.pub id_rsa
4.3.6. Creating the KataConfig custom resource
You must create the KataConfig
custom resource (CR) to install kata-remote
as a runtime class on your worker nodes.
Creating the KataConfig
CR triggers the OpenShift sandboxed containers Operator to do the following:
-
Create a
RuntimeClass
CR namedkata-remote
with a default configuration. This enables users to configure workloads to usekata-remote
as the runtime by referencing the CR in theRuntimeClassName
field. This CR also specifies the resource overhead for the runtime.
OpenShift sandboxed containers installs kata-remote
as a secondary, optional runtime on the cluster and not as the primary runtime.
Creating the KataConfig
CR automatically reboots the worker nodes. The reboot can take from 10 to more than 60 minutes. Factors that impede reboot time are as follows:
- A larger OpenShift Container Platform deployment with a greater number of worker nodes.
- Activation of the BIOS and Diagnostics utility.
- Deployment on a hard disk drive rather than an SSD.
- Deployment on physical nodes such as bare metal, rather than on virtual nodes.
- A slow CPU and network.
Prerequisites
-
You have access to the cluster as a user with the
cluster-admin
role.
Procedure
Create an
example-kataconfig.yaml
manifest file according to the following example:apiVersion: kataconfiguration.openshift.io/v1 kind: KataConfig metadata: name: example-kataconfig spec: enablePeerPods: true logLevel: info # kataConfigPoolSelector: # matchLabels: # <label_key>: '<label_value>' 1
- 1
- Optional: If you have applied node labels to install
kata-remote
on specific nodes, specify the key and value, for example,osc: 'true'
.
Create the
KataConfig
CR by running the following command:$ oc apply -f example-kataconfig.yaml
The new
KataConfig
CR is created and installskata-remote
as a runtime class on the worker nodes.Wait for the
kata-remote
installation to complete and the worker nodes to reboot before verifying the installation.Monitor the installation progress by running the following command:
$ watch "oc describe kataconfig | sed -n /^Status:/,/^Events/p"
When the status of all workers under
kataNodes
isinstalled
and the conditionInProgress
isFalse
without specifying a reason, thekata-remote
is installed on the cluster.Verify the daemon set by running the following command:
$ oc get -n openshift-sandboxed-containers-operator ds/peerpodconfig-ctrl-caa-daemon
Verify the runtime classes by running the following command:
$ oc get runtimeclass
Example output
NAME HANDLER AGE kata kata 152m kata-remote kata-remote 152m
Verifying the pod VM image
After kata-remote
is installed on your cluster, the OpenShift sandboxed containers Operator creates a pod VM image, which is used to create peer pods. This process can take a long time because the image is created on the cloud instance. You can verify that the pod VM image was created successfully by checking the config map that you created for the cloud provider.
Procedure
Obtain the config map you created for the peer pods:
$ oc get configmap peer-pods-cm -n openshift-sandboxed-containers-operator -o yaml
Check the
status
stanza of the YAML file.If the
AZURE_IMAGE_ID
parameter is populated, the pod VM image was created successfully.
Troubleshooting
Retrieve the events log by running the following command:
$ oc get events -n openshift-sandboxed-containers-operator --field-selector involvedObject.name=osc-podvm-image-creation
Retrieve the job log by running the following command:
$ oc logs -n openshift-sandboxed-containers-operator jobs/osc-podvm-image-creation
If you cannot resolve the issue, submit a Red Hat Support case and attach the output of both logs.
4.3.7. Configuring workload objects
You must configure OpenShift sandboxed containers workload objects by setting kata-remote
as the runtime class for the following pod-templated objects:
-
Pod
objects -
ReplicaSet
objects -
ReplicationController
objects -
StatefulSet
objects -
Deployment
objects -
DeploymentConfig
objects
Do not deploy workloads in an Operator namespace. Create a dedicated namespace for these resources.
You can define whether the workload should be deployed using the default instance size, which you defined in the config map, by adding an annotation to the YAML file.
If you do not want to define the instance size manually, you can add an annotation to use an automatic instance size, based on the memory available.
Prerequisites
-
You have created the
KataConfig
custom resource (CR).
Procedure
Add
spec.runtimeClassName: kata-remote
to the manifest of each pod-templated workload object as in the following example:apiVersion: v1 kind: <object> # ... spec: runtimeClassName: kata-remote # ...
Add an annotation to the pod-templated object to use a manually defined instance size or an automatic instance size:
To use a manually defined instance size, add the following annotation:
apiVersion: v1 kind: <object> metadata: annotations: io.katacontainers.config.hypervisor.machine_type: "Standard_B2als_v2" 1 # ...
- 1
- Specify the instance size that you defined in the config map.
To use an automatic instance size, add the following annotations:
apiVersion: v1 kind: <Pod> metadata: annotations: io.katacontainers.config.hypervisor.default_vcpus: <vcpus> io.katacontainers.config.hypervisor.default_memory: <memory> # ...
Define the amount of memory available for the workload to use. The workload will run on an automatic instance size based on the amount of memory available.
Apply the changes to the workload object by running the following command:
$ oc apply -f <object.yaml>
OpenShift Container Platform creates the workload object and begins scheduling it.
Verification
-
Inspect the
spec.runtimeClassName
field of a pod-templated object. If the value iskata-remote
, then the workload is running on OpenShift sandboxed containers, using peer pods.