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Configuring multi-architecture compute machines on an OpenShift Container Platform cluster

An OpenShift Container Platform cluster with multi-architecture compute machines is a cluster that supports compute machines with different architectures. Clusters with multi-architecture compute machines are available only on AWS or Azure installer-provisioned infrastructures and bare metal user-provisioned infrastructures with x86_64 control plane machines.

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 Enabling 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.

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

  • You can check that your cluster uses the architecture payload by running the following command:

    $ oc adm release info -o json | jq .metadata.metadata
Verification

  1. If you see the following output, then your cluster is using the multi-architecture payload:

    $ "release.openshift.io/architecture": "multi"

    You can then begin adding multi-arch compute nodes to your cluster.

  2. If you see the following output, then your cluster is not using the multi-architecture payload:

    $ null

    To migrate your cluster to one that supports multi-architecture compute machines, follow the procedure in "Migrating to a cluster with multi-architecture compute machines".

Additional resources

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 then add an ARM64 compute machine set to your cluster to create a cluster with multi-architecture compute machines.

The following procedures explain how to generate an ARM64 boot image and create an Azure compute machine set that uses the ARM64 boot image. This adds ARM64 compute nodes to your cluster and deploys the amount of ARM64 virtual machines (VM) that you need.

Creating an ARM64 boot image using the Azure image gallery

The following procedure describes how to manually generate an ARM64 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

  1. Log in to your Azure account:

    $ az login

  2. Create a storage account and upload the arm64 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.

  3. Create a storage container using the storage account you generated:

    $ az storage container create -n ${CONTAINER_NAME} --account-name ${STORAGE_ACCOUNT_NAME}

  4. You must use the OpenShift Container Platform installation program JSON file to extract the URL and aarch64 VHD name:

    1. Extract the URL field and set it to RHCOS_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')

    2. Extract the aarch64 VHD name and set it to BLOB_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

  5. 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`

  6. 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.

  7. 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

  8. 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)

  9. 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}

  10. 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

Adding a multi-architecture compute machine set to your cluster

To add ARM64 compute nodes to your cluster, you must create an Azure compute machine set that uses the ARM64 boot image. To create your own custom compute machine set on Azure, see "Creating a compute machine set on Azure".

Prerequisites

  • You installed the OpenShift CLI (oc).

Procedure

  • Create a compute machine set and modify the resourceID and vmSize parameters with the following command. This compute machine set will control the arm64 worker nodes in your cluster:

    $ oc create -f arm64-machine-set-0.yaml
    Sample YAML compute machine set with arm64 boot image
    apiVersion: 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>-arm64-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>-arm64-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>-arm64-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>"
    1 Set the resourceID parameter to the arm64 boot image.
    2 Set the vmSize parameter to the instance type used in your installation. Some example instance types are Standard_D4ps_v5 or D8ps.
Verification

  1. Verify that the new ARM64 machines are running by entering the following command:

    $ oc get machineset -n openshift-machine-api
    Example output
    NAME                                                DESIRED  CURRENT  READY  AVAILABLE  AGE
<infrastructure_id>-arm64-machine-set-0                   2        2      2          2  10m

  2. You can check that the nodes are ready and scheduable with the following command:

    $ oc get nodes
Additional resources

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, refer to Installing a cluster on AWS with customizations. You can then add a ARM64 compute machine set to your AWS cluster.

Adding an ARM64 compute machine set to your cluster

To configure a cluster with multi-architecture compute machines, you must create a AWS ARM64 compute machine set. This adds ARM64 compute nodes to your cluster so that your cluster has multi-architecture compute machines.

Prerequisites

  • You installed the OpenShift CLI (oc).

  • You used the installation program to create an AMD64 single-architecture AWS cluster with the multi-architecture installer binary.

Procedure

  • Create and modify a compute machine set, this will control the ARM64 compute nodes in your cluster.

    $ oc create -f aws-arm64-machine-set-0.yaml
    Sample YAML compute machine set to deploy an ARM64 compute node
    apiVersion: machine.openshift.io/v1beta1
kind: MachineSet
metadata:
  labels:
    machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
  name: <infrastructure_id>-aws-arm64-machine-set-0 (1)
  namespace: openshift-machine-api
spec:
  replicas: 1
  selector:
    matchLabels:
      machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
      machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> (2)
  template:
    metadata:
      labels:
        machine.openshift.io/cluster-api-cluster: <infrastructure_id>
        machine.openshift.io/cluster-api-machine-role: <role> (3)
        machine.openshift.io/cluster-api-machine-type: <role> (3)
        machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> (2)
    spec:
      metadata:
        labels:
          node-role.kubernetes.io/<role>: ""
      providerSpec:
        value:
          ami:
            id: ami-02a574449d4f4d280 (4)
          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 (1)
          instanceType: m6g.xlarge (5)
          kind: AWSMachineProviderConfig
          placement:
            availabilityZone: us-east-1a (6)
            region: <region> (7)
          securityGroups:
            - filters:
                - name: tag:Name
                  values:
                    - <infrastructure_id>-worker-sg (1)
          subnet:
            filters:
              - name: tag:Name
                values:
                  - <infrastructure_id>-private-<zone>
          tags:
            - name: kubernetes.io/cluster/<infrastructure_id> (1)
              value: owned
            - name: <custom_tag_name>
              value: <custom_tag_value>
          userDataSecret:
            name: worker-user-data
    1 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 installed, you can obtain the infrastructure ID by running the following command: 
    $ oc get -o jsonpath=‘{.status.infrastructureName}{“\n”}’ infrastructure cluster
    2 Specify the infrastructure ID, role node label, and zone.
    3 Specify the role node label to add.
    4 Specify an ARM64 supported Red Hat Enterprise Linux CoreOS (RHCOS) Amazon Machine Image (AMI) for your AWS zone for your OpenShift Container Platform nodes. 
    $ oc get configmap/coreos-bootimages \
	  -n openshift-machine-config-operator \
	  -o jsonpath='{.data.stream}' | jq \
	  -r '.architectures.<arch>.images.aws.regions."<region>".image'
    5 Specify an ARM64 supported machine type. For more information, refer to "Tested instance types for AWS 64-bit ARM"
    6 Specify the zone, for example us-east-1a. Ensure that the zone you select offers 64-bit ARM machines.
    7 Specify the region, for example, us-east-1. Ensure that the zone you select offers 64-bit ARM machines.
Verification

  1. View the list of compute machine sets by entering the following command:

    $ oc get machineset -n openshift-machine-api

    You can then see your created ARM64 machine set.

    Example output
    NAME                                                DESIRED  CURRENT  READY  AVAILABLE  AGE
<infrastructure_id>-aws-arm64-machine-set-0                   2        2      2          2  10m

  2. You can check that the nodes are ready and scheduable with the following command:

    $ oc get nodes
Additional resources

Creating a cluster with multi-architecture compute machine on bare metal (Technology Preview)

To create a cluster with multi-architecture compute machines on bare metal, you must have an existing single-architecture bare metal cluster. For more information on bare metal installations, see 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.

Before you can add 64-bit ARM nodes to your bare metal 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 ARM64 nodes to your bare metal cluster and deploy a cluster with multi-architecture compute machines.

Clusters with multi-architecture compute machines on bare metal user-provisioned installations is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

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

  1. 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

  2. Upload the worker.ign Ignition config file you exported from your cluster to your HTTP server. Note the URLs of these files.

  3. 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

  4. 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')

  5. 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.

  6. 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.

    You 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.

  7. 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> (1) (2)
    1 You must run the coreos-installer command by using sudo, because the core 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.

    If 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

  8. Monitor the progress of the RHCOS installation on the console of the machine.

    Ensure 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.

  9. Continue to create more compute machines for your cluster.

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, and initramfs 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

  1. 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 live initramfs file, the coreos.inst.ignition_url parameter value is the location of the worker Ignition config file, and the coreos.live.rootfs_url parameter value is the location of the live rootfs file. The coreos.inst.ignition_url and coreos.live.rootfs_url parameters only support HTTP and HTTPS.

      This 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 the APPEND line. For example, add console=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 the kernel file, the initrd=main argument is needed for booting on UEFI systems, the coreos.live.rootfs_url parameter value is the location of the rootfs file, and the coreos.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 named eno1, set ip=eno1:dhcp.
      3 Specify the location of the initramfs file that you uploaded to your HTTP server.

      This 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 the kernel line. For example, add console=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.

      To network boot the CoreOS kernel on aarch64 architecture, you need to use a version of iPXE build with the IMAGE_GZIP option enabled. See IMAGE_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 the kernel file on your TFTP server. The coreos.live.rootfs_url parameter value is the location of the rootfs file, and the coreos.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 named eno1, set ip=eno1:dhcp.
      3 Specify the location of the initramfs file that you uploaded to your TFTP server.

  2. Use the PXE or iPXE infrastructure to create the required compute machines for your cluster.

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

  1. Confirm that the cluster recognizes the machines:

    $ oc get nodes
    Example output
    NAME      STATUS    ROLES   AGE  VERSION
master-0  Ready     master  63m  v1.26.0
master-1  Ready     master  63m  v1.26.0
master-2  Ready     master  64m  v1.26.0

    The output lists all of the machines that you created.

    The preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved.

  2. Review the pending CSRs and ensure that you see the client requests with the Pending or Approved 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.

  3. 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:

    Because 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.

    For 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, and oc 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 the node-bootstrapper service account in the system:node or system: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

      Some Operators might not become available until some CSRs are approved.

  4. 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
...

  5. 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

  6. 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  v1.26.0
master-1  Ready     master  73m  v1.26.0
master-2  Ready     master  74m  v1.26.0
worker-0  Ready     worker  11m  v1.26.0
worker-1  Ready     worker  11m  v1.26.0

    It can take a few minutes after approval of the server CSRs for the machines to transition to the Ready status.
Additional information

Importing manifest lists in image streams on your multi-architecture compute machines

On an OpenShift Container Platform 4.13 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 the cli-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 object
    dockerImageManifests:
  - 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