Chapter 2. Preparing to update a cluster 2.1. Preparing to update to OpenShift Container Platform 4.16 Learn more about administrative tasks that cluster admins must perform to successfully initialize an update, as well as optional guidelines for ensuring a successful update. 2.1.1. Kubernetes API removals OpenShift Container Platform 4.16 uses Kubernetes 1.29, which removed several deprecated APIs. A cluster administrator must provide a manual acknowledgment before the cluster can be updated from OpenShift Container Platform 4.15 to 4.16. This is to help prevent issues after upgrading to OpenShift Container Platform 4.16, where APIs that have been removed are still in use by workloads, tools, or other components running on or interacting with the cluster. Administrators must evaluate their cluster for any APIs in use that will be removed and migrate the affected components to use the appropriate new API version. After this evaluation and migration is complete, the administrator can provide the acknowledgment. Before you can update your OpenShift Container Platform 4.15 cluster to 4.16, you must provide the administrator acknowledgment. 2.1.1.1. Removed Kubernetes APIs OpenShift Container Platform 4.16 uses Kubernetes 1.29, which removed the following deprecated APIs. You must migrate manifests and API clients to use the appropriate API version. For more information about migrating removed APIs, see the Kubernetes documentation . Table 2.1. APIs removed from Kubernetes 1.29 Resource Removed API Migrate to Notable changes FlowSchema flowcontrol.apiserver.k8s.io/v1beta2 flowcontrol.apiserver.k8s.io/v1 or flowcontrol.apiserver.k8s.io/v1beta3 No PriorityLevelConfiguration flowcontrol.apiserver.k8s.io/v1beta2 flowcontrol.apiserver.k8s.io/v1 or flowcontrol.apiserver.k8s.io/v1beta3 Yes 2.1.1.2. Evaluating your cluster for removed APIs There are several methods to help administrators identify where APIs that will be removed are in use. However, OpenShift Container Platform cannot identify all instances, especially workloads that are idle or external tools that are used. It is the responsibility of the administrator to properly evaluate all workloads and other integrations for instances of removed APIs. 2.1.1.2.1. Reviewing alerts to identify uses of removed APIs Two alerts fire when an API is in use that will be removed in the release: APIRemovedInNextReleaseInUse - for APIs that will be removed in the OpenShift Container Platform release. APIRemovedInNextEUSReleaseInUse - for APIs that will be removed in the OpenShift Container Platform Extended Update Support (EUS) release. If either of these alerts are firing in your cluster, review the alerts and take action to clear the alerts by migrating manifests and API clients to use the new API version. Use the APIRequestCount API to get more information about which APIs are in use and which workloads are using removed APIs, because the alerts do not provide this information. Additionally, some APIs might not trigger these alerts but are still captured by APIRequestCount . The alerts are tuned to be less sensitive to avoid alerting fatigue in production systems. 2.1.1.2.2. Using APIRequestCount to identify uses of removed APIs You can use the APIRequestCount API to track API requests and review whether any of them are using one of the removed APIs. Prerequisites You must have access to the cluster as a user with the cluster-admin role. Procedure Run the following command and examine the REMOVEDINRELEASE column of the output to identify the removed APIs that are currently in use: USD oc get apirequestcounts Example output NAME REMOVEDINRELEASE REQUESTSINCURRENTHOUR REQUESTSINLAST24H ... flowschemas.v1beta2.flowcontrol.apiserver.k8s.io 1.29 0 3 ... prioritylevelconfigurations.v1beta2.flowcontrol.apiserver.k8s.io 1.29 0 1 ... Important You can safely ignore the following entries that appear in the results: The system:serviceaccount:kube-system:generic-garbage-collector and the system:serviceaccount:kube-system:namespace-controller users might appear in the results because these services invoke all registered APIs when searching for resources to remove. The system:kube-controller-manager and system:cluster-policy-controller users might appear in the results because they walk through all resources while enforcing various policies. You can also use -o jsonpath to filter the results: USD oc get apirequestcounts -o jsonpath='{range .items[?(@.status.removedInRelease!="")]}{.status.removedInRelease}{"\t"}{.metadata.name}{"\n"}{end}' Example output 1.29 flowschemas.v1beta2.flowcontrol.apiserver.k8s.io 1.29 prioritylevelconfigurations.v1beta2.flowcontrol.apiserver.k8s.io 2.1.1.2.3. Using APIRequestCount to identify which workloads are using the removed APIs You can examine the APIRequestCount resource for a given API version to help identify which workloads are using the API. Prerequisites You must have access to the cluster as a user with the cluster-admin role. Procedure Run the following command and examine the username and userAgent fields to help identify the workloads that are using the API: USD oc get apirequestcounts <resource>.<version>.<group> -o yaml For example: USD oc get apirequestcounts flowschemas.v1beta2.flowcontrol.apiserver.k8s.io -o yaml You can also use -o jsonpath to extract the username and userAgent values from an APIRequestCount resource: USD oc get apirequestcounts flowschemas.v1beta2.flowcontrol.apiserver.k8s.io \ -o jsonpath='{range .status.currentHour..byUser[*]}{..byVerb[*].verb}{","}{.username}{","}{.userAgent}{"\n"}{end}' \ | sort -k 2 -t, -u | column -t -s, -NVERBS,USERNAME,USERAGENT Example output VERBS USERNAME USERAGENT create system:admin oc/4.13.0 (linux/amd64) list get system:serviceaccount:myns:default oc/4.16.0 (linux/amd64) watch system:serviceaccount:myns:webhook webhook/v1.0.0 (linux/amd64) 2.1.1.3. Migrating instances of removed APIs For information about how to migrate removed Kubernetes APIs, see the Deprecated API Migration Guide in the Kubernetes documentation. 2.1.1.4. Providing the administrator acknowledgment After you have evaluated your cluster for any removed APIs and have migrated any removed APIs, you can acknowledge that your cluster is ready to upgrade from OpenShift Container Platform 4.15 to 4.16. Warning Be aware that all responsibility falls on the administrator to ensure that all uses of removed APIs have been resolved and migrated as necessary before providing this administrator acknowledgment. OpenShift Container Platform can assist with the evaluation, but cannot identify all possible uses of removed APIs, especially idle workloads or external tools. Prerequisites You must have access to the cluster as a user with the cluster-admin role. Procedure Run the following command to acknowledge that you have completed the evaluation and your cluster is ready for the Kubernetes API removals in OpenShift Container Platform 4.16: USD oc -n openshift-config patch cm admin-acks --patch '{"data":{"ack-4.15-kube-1.29-api-removals-in-4.16":"true"}}' --type=merge 2.1.2. Assessing the risk of conditional updates A conditional update is an update target that is available but not recommended due to a known risk that applies to your cluster. The Cluster Version Operator (CVO) periodically queries the OpenShift Update Service (OSUS) for the most recent data about update recommendations, and some potential update targets might have risks associated with them. The CVO evaluates the conditional risks, and if the risks are not applicable to the cluster, then the target version is available as a recommended update path for the cluster. If the risk is determined to be applicable, or if for some reason CVO cannot evaluate the risk, then the update target is available to the cluster as a conditional update. When you encounter a conditional update while you are trying to update to a target version, you must assess the risk of updating your cluster to that version. Generally, if you do not have a specific need to update to that target version, it is best to wait for a recommended update path from Red Hat. However, if you have a strong reason to update to that version, for example, if you need to fix an important CVE, then the benefit of fixing the CVE might outweigh the risk of the update being problematic for your cluster. You can complete the following tasks to determine whether you agree with the Red Hat assessment of the update risk: Complete extensive testing in a non-production environment to the extent that you are comfortable completing the update in your production environment. Follow the links provided in the conditional update description, investigate the bug, and determine if it is likely to cause issues for your cluster. If you need help understanding the risk, contact Red Hat Support. Additional resources Evaluation of update availability 2.1.3. etcd backups before cluster updates etcd backups record the state of your cluster and all of its resource objects. You can use backups to attempt restoring the state of a cluster in disaster scenarios where you cannot recover a cluster in its currently dysfunctional state. In the context of updates, you can attempt an etcd restoration of the cluster if an update introduced catastrophic conditions that cannot be fixed without reverting to the cluster version. etcd restorations might be destructive and destabilizing to a running cluster, use them only as a last resort. Warning Due to their high consequences, etcd restorations are not intended to be used as a rollback solution. Rolling your cluster back to a version is not supported. If your update is failing to complete, contact Red Hat support. There are several factors that affect the viability of an etcd restoration. For more information, see "Backing up etcd data" and "Restoring to a cluster state". Additional resources Backing up etcd Restoring to a cluster state 2.1.4. Best practices for cluster updates OpenShift Container Platform provides a robust update experience that minimizes workload disruptions during an update. Updates will not begin unless the cluster is in an upgradeable state at the time of the update request. This design enforces some key conditions before initiating an update, but there are a number of actions you can take to increase your chances of a successful cluster update. 2.1.4.1. Choose versions recommended by the OpenShift Update Service The OpenShift Update Service (OSUS) provides update recommendations based on cluster characteristics such as the cluster's subscribed channel. The Cluster Version Operator saves these recommendations as either recommended or conditional updates. While it is possible to attempt an update to a version that is not recommended by OSUS, following a recommended update path protects users from encountering known issues or unintended consequences on the cluster. Choose only update targets that are recommended by OSUS to ensure a successful update. 2.1.4.2. Address all critical alerts on the cluster Critical alerts must always be addressed as soon as possible, but it is especially important to address these alerts and resolve any problems before initiating a cluster update. Failing to address critical alerts before beginning an update can cause problematic conditions for the cluster. In the Administrator perspective of the web console, navigate to Observe Alerting to find critical alerts. 2.1.4.3. Ensure that the cluster is in an Upgradable state When one or more Operators have not reported their Upgradeable condition as True for more than an hour, the ClusterNotUpgradeable warning alert is triggered in the cluster. In most cases this alert does not block patch updates, but you cannot perform a minor version update until you resolve this alert and all Operators report Upgradeable as True . For more information about the Upgradeable condition, see "Understanding cluster Operator condition types" in the additional resources section. 2.1.4.4. Ensure that enough spare nodes are available A cluster should not be running with little to no spare node capacity, especially when initiating a cluster update. Nodes that are not running and available may limit a cluster's ability to perform an update with minimal disruption to cluster workloads. Depending on the configured value of the cluster's maxUnavailable spec, the cluster might not be able to apply machine configuration changes to nodes if there is an unavailable node. Additionally, if compute nodes do not have enough spare capacity, workloads might not be able to temporarily shift to another node while the first node is taken offline for an update. Make sure that you have enough available nodes in each worker pool, as well as enough spare capacity on your compute nodes, to increase the chance of successful node updates. Warning The default setting for maxUnavailable is 1 for all the machine config pools in OpenShift Container Platform. It is recommended to not change this value and update one control plane node at a time. Do not change this value to 3 for the control plane pool. 2.1.4.5. Ensure that the cluster's PodDisruptionBudget is properly configured You can use the PodDisruptionBudget object to define the minimum number or percentage of pod replicas that must be available at any given time. This configuration protects workloads from disruptions during maintenance tasks such as cluster updates. However, it is possible to configure the PodDisruptionBudget for a given topology in a way that prevents nodes from being drained and updated during a cluster update. When planning a cluster update, check the configuration of the PodDisruptionBudget object for the following factors: For highly available workloads, make sure there are replicas that can be temporarily taken offline without being prohibited by the PodDisruptionBudget . For workloads that are not highly available, make sure they are either not protected by a PodDisruptionBudget or have some alternative mechanism for draining these workloads eventually, such as periodic restart or guaranteed eventual termination. Additional resources Understanding cluster Operator condition types 2.2. Preparing to update a cluster with manually maintained credentials The Cloud Credential Operator (CCO) Upgradable status for a cluster with manually maintained credentials is False by default. For minor releases, for example, from 4.12 to 4.13, this status prevents you from updating until you have addressed any updated permissions and annotated the CloudCredential resource to indicate that the permissions are updated as needed for the version. This annotation changes the Upgradable status to True . For z-stream releases, for example, from 4.13.0 to 4.13.1, no permissions are added or changed, so the update is not blocked. Before updating a cluster with manually maintained credentials, you must accommodate any new or changed credentials in the release image for the version of OpenShift Container Platform you are updating to. 2.2.1. Update requirements for clusters with manually maintained credentials Before you update a cluster that uses manually maintained credentials with the Cloud Credential Operator (CCO), you must update the cloud provider resources for the new release. If the cloud credential management for your cluster was configured using the CCO utility ( ccoctl ), use the ccoctl utility to update the resources. Clusters that were configured to use manual mode without the ccoctl utility require manual updates for the resources. After updating the cloud provider resources, you must update the upgradeable-to annotation for the cluster to indicate that it is ready to update. Note The process to update the cloud provider resources and the upgradeable-to annotation can only be completed by using command line tools. 2.2.1.1. Cloud credential configuration options and update requirements by platform type Some platforms only support using the CCO in one mode. For clusters that are installed on those platforms, the platform type determines the credentials update requirements. For platforms that support using the CCO in multiple modes, you must determine which mode the cluster is configured to use and take the required actions for that configuration. Figure 2.1. Credentials update requirements by platform type Red Hat OpenStack Platform (RHOSP) and VMware vSphere These platforms do not support using the CCO in manual mode. Clusters on these platforms handle changes in cloud provider resources automatically and do not require an update to the upgradeable-to annotation. Administrators of clusters on these platforms should skip the manually maintained credentials section of the update process. IBM Cloud and Nutanix Clusters installed on these platforms are configured using the ccoctl utility. Administrators of clusters on these platforms must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Configure the ccoctl utility for the new release and use it to update the cloud provider resources. Indicate that the cluster is ready to update with the upgradeable-to annotation. Microsoft Azure Stack Hub These clusters use manual mode with long-term credentials and do not use the ccoctl utility. Administrators of clusters on these platforms must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Manually update the cloud provider resources for the new release. Indicate that the cluster is ready to update with the upgradeable-to annotation. Amazon Web Services (AWS), global Microsoft Azure, and Google Cloud Platform (GCP) Clusters installed on these platforms support multiple CCO modes. The required update process depends on the mode that the cluster is configured to use. If you are not sure what mode the CCO is configured to use on your cluster, you can use the web console or the CLI to determine this information. Additional resources Determining the Cloud Credential Operator mode by using the web console Determining the Cloud Credential Operator mode by using the CLI Extracting and preparing credentials request resources About the Cloud Credential Operator 2.2.1.2. Determining the Cloud Credential Operator mode by using the web console You can determine what mode the Cloud Credential Operator (CCO) is configured to use by using the web console. Note Only Amazon Web Services (AWS), global Microsoft Azure, and Google Cloud Platform (GCP) clusters support multiple CCO modes. Prerequisites You have access to an OpenShift Container Platform account with cluster administrator permissions. Procedure Log in to the OpenShift Container Platform web console as a user with the cluster-admin role. Navigate to Administration Cluster Settings . On the Cluster Settings page, select the Configuration tab. Under Configuration resource , select CloudCredential . On the CloudCredential details page, select the YAML tab. In the YAML block, check the value of spec.credentialsMode . The following values are possible, though not all are supported on all platforms: '' : The CCO is operating in the default mode. In this configuration, the CCO operates in mint or passthrough mode, depending on the credentials provided during installation. Mint : The CCO is operating in mint mode. Passthrough : The CCO is operating in passthrough mode. Manual : The CCO is operating in manual mode. Important To determine the specific configuration of an AWS, GCP, or global Microsoft Azure cluster that has a spec.credentialsMode of '' , Mint , or Manual , you must investigate further. AWS and GCP clusters support using mint mode with the root secret deleted. If the cluster is specifically configured to use mint mode or uses mint mode by default, you must determine if the root secret is present on the cluster before updating. An AWS, GCP, or global Microsoft Azure cluster that uses manual mode might be configured to create and manage cloud credentials from outside of the cluster with AWS STS, GCP Workload Identity, or Microsoft Entra Workload ID. You can determine whether your cluster uses this strategy by examining the cluster Authentication object. AWS or GCP clusters that use mint mode only: To determine whether the cluster is operating without the root secret, navigate to Workloads Secrets and look for the root secret for your cloud provider. Note Ensure that the Project dropdown is set to All Projects . Platform Secret name AWS aws-creds GCP gcp-credentials If you see one of these values, your cluster is using mint or passthrough mode with the root secret present. If you do not see these values, your cluster is using the CCO in mint mode with the root secret removed. AWS, GCP, or global Microsoft Azure clusters that use manual mode only: To determine whether the cluster is configured to create and manage cloud credentials from outside of the cluster, you must check the cluster Authentication object YAML values. Navigate to Administration Cluster Settings . On the Cluster Settings page, select the Configuration tab. Under Configuration resource , select Authentication . On the Authentication details page, select the YAML tab. In the YAML block, check the value of the .spec.serviceAccountIssuer parameter. A value that contains a URL that is associated with your cloud provider indicates that the CCO is using manual mode with short-term credentials for components. These clusters are configured using the ccoctl utility to create and manage cloud credentials from outside of the cluster. An empty value ( '' ) indicates that the cluster is using the CCO in manual mode but was not configured using the ccoctl utility. steps If you are updating a cluster that has the CCO operating in mint or passthrough mode and the root secret is present, you do not need to update any cloud provider resources and can continue to the part of the update process. If your cluster is using the CCO in mint mode with the root secret removed, you must reinstate the credential secret with the administrator-level credential before continuing to the part of the update process. If your cluster was configured using the CCO utility ( ccoctl ), you must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Configure the ccoctl utility for the new release and use it to update the cloud provider resources. Update the upgradeable-to annotation to indicate that the cluster is ready to update. If your cluster is using the CCO in manual mode but was not configured using the ccoctl utility, you must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Manually update the cloud provider resources for the new release. Update the upgradeable-to annotation to indicate that the cluster is ready to update. Additional resources Extracting and preparing credentials request resources 2.2.1.3. Determining the Cloud Credential Operator mode by using the CLI You can determine what mode the Cloud Credential Operator (CCO) is configured to use by using the CLI. Note Only Amazon Web Services (AWS), global Microsoft Azure, and Google Cloud Platform (GCP) clusters support multiple CCO modes. Prerequisites You have access to an OpenShift Container Platform account with cluster administrator permissions. You have installed the OpenShift CLI ( oc ). Procedure Log in to oc on the cluster as a user with the cluster-admin role. To determine the mode that the CCO is configured to use, enter the following command: USD oc get cloudcredentials cluster \ -o=jsonpath={.spec.credentialsMode} The following output values are possible, though not all are supported on all platforms: '' : The CCO is operating in the default mode. In this configuration, the CCO operates in mint or passthrough mode, depending on the credentials provided during installation. Mint : The CCO is operating in mint mode. Passthrough : The CCO is operating in passthrough mode. Manual : The CCO is operating in manual mode. Important To determine the specific configuration of an AWS, GCP, or global Microsoft Azure cluster that has a spec.credentialsMode of '' , Mint , or Manual , you must investigate further. AWS and GCP clusters support using mint mode with the root secret deleted. If the cluster is specifically configured to use mint mode or uses mint mode by default, you must determine if the root secret is present on the cluster before updating. An AWS, GCP, or global Microsoft Azure cluster that uses manual mode might be configured to create and manage cloud credentials from outside of the cluster with AWS STS, GCP Workload Identity, or Microsoft Entra Workload ID. You can determine whether your cluster uses this strategy by examining the cluster Authentication object. AWS or GCP clusters that use mint mode only: To determine whether the cluster is operating without the root secret, run the following command: USD oc get secret <secret_name> \ -n=kube-system where <secret_name> is aws-creds for AWS or gcp-credentials for GCP. If the root secret is present, the output of this command returns information about the secret. An error indicates that the root secret is not present on the cluster. AWS, GCP, or global Microsoft Azure clusters that use manual mode only: To determine whether the cluster is configured to create and manage cloud credentials from outside of the cluster, run the following command: USD oc get authentication cluster \ -o jsonpath \ --template='{ .spec.serviceAccountIssuer }' This command displays the value of the .spec.serviceAccountIssuer parameter in the cluster Authentication object. An output of a URL that is associated with your cloud provider indicates that the CCO is using manual mode with short-term credentials for components. These clusters are configured using the ccoctl utility to create and manage cloud credentials from outside of the cluster. An empty output indicates that the cluster is using the CCO in manual mode but was not configured using the ccoctl utility. steps If you are updating a cluster that has the CCO operating in mint or passthrough mode and the root secret is present, you do not need to update any cloud provider resources and can continue to the part of the update process. If your cluster is using the CCO in mint mode with the root secret removed, you must reinstate the credential secret with the administrator-level credential before continuing to the part of the update process. If your cluster was configured using the CCO utility ( ccoctl ), you must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Configure the ccoctl utility for the new release and use it to update the cloud provider resources. Update the upgradeable-to annotation to indicate that the cluster is ready to update. If your cluster is using the CCO in manual mode but was not configured using the ccoctl utility, you must take the following actions: Extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Manually update the cloud provider resources for the new release. Update the upgradeable-to annotation to indicate that the cluster is ready to update. Additional resources Extracting and preparing credentials request resources 2.2.2. Extracting and preparing credentials request resources Before updating a cluster that uses the Cloud Credential Operator (CCO) in manual mode, you must extract and prepare the CredentialsRequest custom resources (CRs) for the new release. Prerequisites Install the OpenShift CLI ( oc ) that matches the version for your updated version. Log in to the cluster as user with cluster-admin privileges. Procedure Obtain the pull spec for the update that you want to apply by running the following command: USD oc adm upgrade The output of this command includes pull specs for the available updates similar to the following: Partial example output ... Recommended updates: VERSION IMAGE 4.16.0 quay.io/openshift-release-dev/ocp-release@sha256:6a899c54dda6b844bb12a247e324a0f6cde367e880b73ba110c056df6d018032 ... Set a USDRELEASE_IMAGE variable with the release image that you want to use by running the following command: USD RELEASE_IMAGE=<update_pull_spec> where <update_pull_spec> is the pull spec for the release image that you want to use. For example: quay.io/openshift-release-dev/ocp-release@sha256:6a899c54dda6b844bb12a247e324a0f6cde367e880b73ba110c056df6d018032 Extract the list of CredentialsRequest custom resources (CRs) from the OpenShift Container Platform release image by running the following command: USD oc adm release extract \ --from=USDRELEASE_IMAGE \ --credentials-requests \ --included \ 1 --to=<path_to_directory_for_credentials_requests> 2 1 The --included parameter includes only the manifests that your specific cluster configuration requires for the target release. 2 Specify the path to the directory where you want to store the CredentialsRequest objects. If the specified directory does not exist, this command creates it. This command creates a YAML file for each CredentialsRequest object. For each CredentialsRequest CR in the release image, ensure that a namespace that matches the text in the spec.secretRef.namespace field exists in the cluster. This field is where the generated secrets that hold the credentials configuration are stored. Sample AWS CredentialsRequest object apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: cloud-credential-operator-iam-ro namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AWSProviderSpec statementEntries: - effect: Allow action: - iam:GetUser - iam:GetUserPolicy - iam:ListAccessKeys resource: "*" secretRef: name: cloud-credential-operator-iam-ro-creds namespace: openshift-cloud-credential-operator 1 1 This field indicates the namespace which must exist to hold the generated secret. The CredentialsRequest CRs for other platforms have a similar format with different platform-specific values. For any CredentialsRequest CR for which the cluster does not already have a namespace with the name specified in spec.secretRef.namespace , create the namespace by running the following command: USD oc create namespace <component_namespace> steps If the cloud credential management for your cluster was configured using the CCO utility ( ccoctl ), configure the ccoctl utility for a cluster update and use it to update your cloud provider resources. If your cluster was not configured with the ccoctl utility, manually update your cloud provider resources. Additional resources Configuring the Cloud Credential Operator utility for a cluster update Manually updating cloud provider resources 2.2.3. Configuring the Cloud Credential Operator utility for a cluster update To upgrade a cluster that uses the Cloud Credential Operator (CCO) in manual mode to create and manage cloud credentials from outside of the cluster, extract and prepare the CCO utility ( ccoctl ) binary. Note The ccoctl utility is a Linux binary that must run in a Linux environment. Prerequisites You have access to an OpenShift Container Platform account with cluster administrator access. You have installed the OpenShift CLI ( oc ). Your cluster was configured using the ccoctl utility to create and manage cloud credentials from outside of the cluster. You have extracted the CredentialsRequest custom resources (CRs) from the OpenShift Container Platform release image and ensured that a namespace that matches the text in the spec.secretRef.namespace field exists in the cluster. Procedure Set a variable for the OpenShift Container Platform release image by running the following command: USD RELEASE_IMAGE=USD(oc get clusterversion -o jsonpath={..desired.image}) Obtain the CCO container image from the OpenShift Container Platform release image by running the following command: USD CCO_IMAGE=USD(oc adm release info --image-for='cloud-credential-operator' USDRELEASE_IMAGE -a ~/.pull-secret) Note Ensure that the architecture of the USDRELEASE_IMAGE matches the architecture of the environment in which you will use the ccoctl tool. Extract the ccoctl binary from the CCO container image within the OpenShift Container Platform release image by running the following command: USD oc image extract USDCCO_IMAGE \ --file="/usr/bin/ccoctl.<rhel_version>" \ 1 -a ~/.pull-secret 1 For <rhel_version> , specify the value that corresponds to the version of Red Hat Enterprise Linux (RHEL) that the host uses. If no value is specified, ccoctl.rhel8 is used by default. The following values are valid: rhel8 : Specify this value for hosts that use RHEL 8. rhel9 : Specify this value for hosts that use RHEL 9. Change the permissions to make ccoctl executable by running the following command: USD chmod 775 ccoctl.<rhel_version> Verification To verify that ccoctl is ready to use, display the help file. Use a relative file name when you run the command, for example: USD ./ccoctl.rhel9 Example output OpenShift credentials provisioning tool Usage: ccoctl [command] Available Commands: aws Manage credentials objects for AWS cloud azure Manage credentials objects for Azure gcp Manage credentials objects for Google cloud help Help about any command ibmcloud Manage credentials objects for IBM Cloud nutanix Manage credentials objects for Nutanix Flags: -h, --help help for ccoctl Use "ccoctl [command] --help" for more information about a command. 2.2.4. Updating cloud provider resources with the Cloud Credential Operator utility The process for upgrading an OpenShift Container Platform cluster that was configured using the CCO utility ( ccoctl ) is similar to creating the cloud provider resources during installation. Note On AWS clusters, some ccoctl commands make AWS API calls to create or modify AWS resources. You can use the --dry-run flag to avoid making API calls. Using this flag creates JSON files on the local file system instead. You can review and modify the JSON files and then apply them with the AWS CLI tool using the --cli-input-json parameters. Prerequisites You have extracted the CredentialsRequest custom resources (CRs) from the OpenShift Container Platform release image and ensured that a namespace that matches the text in the spec.secretRef.namespace field exists in the cluster. You have extracted and configured the ccoctl binary from the release image. Procedure Use the ccoctl tool to process all CredentialsRequest objects by running the command for your cloud provider. The following commands process CredentialsRequest objects: Example 2.1. Amazon Web Services (AWS) USD ccoctl aws create-all \ 1 --name=<name> \ 2 --region=<aws_region> \ 3 --credentials-requests-dir=<path_to_credentials_requests_directory> \ 4 --output-dir=<path_to_ccoctl_output_dir> \ 5 --create-private-s3-bucket 6 1 To create the AWS resources individually, use the "Creating AWS resources individually" procedure in the "Installing a cluster on AWS with customizations" content. This option might be useful if you need to review the JSON files that the ccoctl tool creates before modifying AWS resources, or if the process the ccoctl tool uses to create AWS resources automatically does not meet the requirements of your organization. 2 Specify the name used to tag any cloud resources that are created for tracking. 3 Specify the AWS region in which cloud resources will be created. 4 Specify the directory containing the files for the component CredentialsRequest objects. 5 Optional: Specify the directory in which you want the ccoctl utility to create objects. By default, the utility creates objects in the directory in which the commands are run. 6 Optional: By default, the ccoctl utility stores the OpenID Connect (OIDC) configuration files in a public S3 bucket and uses the S3 URL as the public OIDC endpoint. To store the OIDC configuration in a private S3 bucket that is accessed by the IAM identity provider through a public CloudFront distribution URL instead, use the --create-private-s3-bucket parameter. Example 2.2. Google Cloud Platform (GCP) USD ccoctl gcp create-all \ --name=<name> \ 1 --region=<gcp_region> \ 2 --project=<gcp_project_id> \ 3 --credentials-requests-dir=<path_to_credentials_requests_directory> \ 4 --output-dir=<path_to_ccoctl_output_dir> 5 1 Specify the user-defined name for all created GCP resources used for tracking. 2 Specify the GCP region in which cloud resources will be created. 3 Specify the GCP project ID in which cloud resources will be created. 4 Specify the directory containing the files of CredentialsRequest manifests to create GCP service accounts. 5 Optional: Specify the directory in which you want the ccoctl utility to create objects. By default, the utility creates objects in the directory in which the commands are run. Example 2.3. IBM Cloud USD ccoctl ibmcloud create-service-id \ --credentials-requests-dir=<path_to_credential_requests_directory> \ 1 --name=<cluster_name> \ 2 --output-dir=<installation_directory> \ 3 --resource-group-name=<resource_group_name> 4 1 Specify the directory containing the files for the component CredentialsRequest objects. 2 Specify the name of the OpenShift Container Platform cluster. 3 Optional: Specify the directory in which you want the ccoctl utility to create objects. By default, the utility creates objects in the directory in which the commands are run. 4 Optional: Specify the name of the resource group used for scoping the access policies. Example 2.4. Microsoft Azure USD ccoctl azure create-managed-identities \ --name <azure_infra_name> \ 1 --output-dir ./output_dir \ --region <azure_region> \ 2 --subscription-id <azure_subscription_id> \ 3 --credentials-requests-dir <path_to_directory_for_credentials_requests> \ --issuer-url "USD{OIDC_ISSUER_URL}" \ 4 --dnszone-resource-group-name <azure_dns_zone_resourcegroup_name> \ 5 --installation-resource-group-name "USD{AZURE_INSTALL_RG}" 6 1 The value of the name parameter is used to create an Azure resource group. To use an existing Azure resource group instead of creating a new one, specify the --oidc-resource-group-name argument with the existing group name as its value. 2 Specify the region of the existing cluster. 3 Specify the subscription ID of the existing cluster. 4 Specify the OIDC issuer URL from the existing cluster. You can obtain this value by running the following command: USD oc get authentication cluster \ -o jsonpath \ --template='{ .spec.serviceAccountIssuer }' 5 Specify the name of the resource group that contains the DNS zone. 6 Specify the Azure resource group name. You can obtain this value by running the following command: USD oc get infrastructure cluster \ -o jsonpath \ --template '{ .status.platformStatus.azure.resourceGroupName }' Example 2.5. Nutanix USD ccoctl nutanix create-shared-secrets \ --credentials-requests-dir=<path_to_credentials_requests_directory> \ 1 --output-dir=<ccoctl_output_dir> \ 2 --credentials-source-filepath=<path_to_credentials_file> 3 1 Specify the path to the directory that contains the files for the component CredentialsRequests objects. 2 Optional: Specify the directory in which you want the ccoctl utility to create objects. By default, the utility creates objects in the directory in which the commands are run. 3 Optional: Specify the directory that contains the credentials data YAML file. By default, ccoctl expects this file to be in <home_directory>/.nutanix/credentials . For each CredentialsRequest object, ccoctl creates the required provider resources and a permissions policy as defined in each CredentialsRequest object from the OpenShift Container Platform release image. Apply the secrets to your cluster by running the following command: USD ls <path_to_ccoctl_output_dir>/manifests/*-credentials.yaml | xargs -I{} oc apply -f {} Verification You can verify that the required provider resources and permissions policies are created by querying the cloud provider. For more information, refer to your cloud provider documentation on listing roles or service accounts. steps Update the upgradeable-to annotation to indicate that the cluster is ready to upgrade. Additional resources Indicating that the cluster is ready to upgrade 2.2.5. Manually updating cloud provider resources Before upgrading a cluster with manually maintained credentials, you must create secrets for any new credentials for the release image that you are upgrading to. You must also review the required permissions for existing credentials and accommodate any new permissions requirements in the new release for those components. Prerequisites You have extracted the CredentialsRequest custom resources (CRs) from the OpenShift Container Platform release image and ensured that a namespace that matches the text in the spec.secretRef.namespace field exists in the cluster. Procedure Create YAML files with secrets for any CredentialsRequest custom resources that the new release image adds. The secrets must be stored using the namespace and secret name defined in the spec.secretRef for each CredentialsRequest object. Example 2.6. Sample AWS YAML files Sample AWS CredentialsRequest object with secrets apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator ... spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AWSProviderSpec statementEntries: - effect: Allow action: - s3:CreateBucket - s3:DeleteBucket resource: "*" ... secretRef: name: <component_secret> namespace: <component_namespace> ... Sample AWS Secret object apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: aws_access_key_id: <base64_encoded_aws_access_key_id> aws_secret_access_key: <base64_encoded_aws_secret_access_key> Example 2.7. Sample Azure YAML files Note Global Azure and Azure Stack Hub use the same CredentialsRequest object and secret formats. Sample Azure CredentialsRequest object with secrets apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator ... spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AzureProviderSpec roleBindings: - role: Contributor ... secretRef: name: <component_secret> namespace: <component_namespace> ... Sample Azure Secret object apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: azure_subscription_id: <base64_encoded_azure_subscription_id> azure_client_id: <base64_encoded_azure_client_id> azure_client_secret: <base64_encoded_azure_client_secret> azure_tenant_id: <base64_encoded_azure_tenant_id> azure_resource_prefix: <base64_encoded_azure_resource_prefix> azure_resourcegroup: <base64_encoded_azure_resourcegroup> azure_region: <base64_encoded_azure_region> Example 2.8. Sample GCP YAML files Sample GCP CredentialsRequest object with secrets apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator ... spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: GCPProviderSpec predefinedRoles: - roles/iam.securityReviewer - roles/iam.roleViewer skipServiceCheck: true ... secretRef: name: <component_secret> namespace: <component_namespace> ... Sample GCP Secret object apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: service_account.json: <base64_encoded_gcp_service_account_file> If the CredentialsRequest custom resources for any existing credentials that are stored in secrets have changed permissions requirements, update the permissions as required. steps Update the upgradeable-to annotation to indicate that the cluster is ready to upgrade. Additional resources Manually creating long-term credentials for AWS Manually creating long-term credentials for Azure Manually creating long-term credentials for Azure Stack Hub Manually creating long-term credentials for GCP Indicating that the cluster is ready to upgrade 2.2.6. Indicating that the cluster is ready to upgrade The Cloud Credential Operator (CCO) Upgradable status for a cluster with manually maintained credentials is False by default. Prerequisites For the release image that you are upgrading to, you have processed any new credentials manually or by using the Cloud Credential Operator utility ( ccoctl ). You have installed the OpenShift CLI ( oc ). Procedure Log in to oc on the cluster as a user with the cluster-admin role. Edit the CloudCredential resource to add an upgradeable-to annotation within the metadata field by running the following command: USD oc edit cloudcredential cluster Text to add ... metadata: annotations: cloudcredential.openshift.io/upgradeable-to: <version_number> ... Where <version_number> is the version that you are upgrading to, in the format x.y.z . For example, use 4.12.2 for OpenShift Container Platform 4.12.2. It may take several minutes after adding the annotation for the upgradeable status to change. Verification In the Administrator perspective of the web console, navigate to Administration Cluster Settings . To view the CCO status details, click cloud-credential in the Cluster Operators list. If the Upgradeable status in the Conditions section is False , verify that the upgradeable-to annotation is free of typographical errors. When the Upgradeable status in the Conditions section is True , begin the OpenShift Container Platform upgrade. 2.3. Preflight validation for Kernel Module Management (KMM) Modules Before performing an upgrade on the cluster with applied KMM modules, you must verify that kernel modules installed using KMM are able to be installed on the nodes after the cluster upgrade and possible kernel upgrade. Preflight attempts to validate every Module loaded in the cluster, in parallel. Preflight does not wait for validation of one Module to complete before starting validation of another Module . 2.3.1. Validation kickoff Preflight validation is triggered by creating a PreflightValidationOCP resource in the cluster. This spec contains two fields: releaseImage Mandatory field that provides the name of the release image for the OpenShift Container Platform version the cluster is upgraded to. pushBuiltImage If true , then the images created during the Build and Sign validation are pushed to their repositories. This field is false by default. 2.3.2. Validation lifecycle Preflight validation attempts to validate every module loaded in the cluster. Preflight stops running validation on a Module resource after the validation is successful. If module validation fails, you can change the module definitions and Preflight tries to validate the module again in the loop. If you want to run Preflight validation for an additional kernel, then you should create another PreflightValidationOCP resource for that kernel. After all the modules have been validated, it is recommended to delete the PreflightValidationOCP resource. 2.3.3. Validation status A PreflightValidationOCP resource reports the status and progress of each module in the cluster that it attempts or has attempted to validate in its .status.modules list. Elements of that list contain the following fields: lastTransitionTime The last time the Module resource status transitioned from one status to another. This should be when the underlying status has changed. If that is not known, then using the time when the API field changed is acceptable. name The name of the Module resource. namespace The namespace of the Module resource. statusReason Verbal explanation regarding the status. verificationStage Describes the validation stage being executed: image : Image existence verification build : Build process verification sign : Sign process verification verificationStatus The status of the Module verification: true : Verified false : Verification failed error : Error during the verification process unknown : Verification has not started 2.3.4. Preflight validation stages per Module Preflight runs the following validations on every KMM Module present in the cluster: Image validation stage Build validation stage Sign validation stage 2.3.4.1. Image validation stage Image validation is always the first stage of the preflight validation to be executed. If image validation is successful, no other validations are run on that specific module. Image validation consists of two stages: Image existence and accessibility. The code tries to access the image defined for the upgraded kernel in the module and get its manifests. Verify the presence of the kernel module defined in the Module in the correct path for future modprobe execution. If this validation is successful, it probably means that the kernel module was compiled with the correct Linux headers. The correct path is <dirname>/lib/modules/<upgraded_kernel>/ . 2.3.4.2. Build validation stage Build validation is executed only when image validation has failed and there is a build section in the Module that is relevant for the upgraded kernel. Build validation attempts to run the build job and validate that it finishes successfully. Note You must specify the kernel version when running depmod , as shown here: USD RUN depmod -b /opt USD{KERNEL_VERSION} If the PushBuiltImage flag is defined in the PreflightValidationOCP custom resource (CR), it also tries to push the resulting image into its repository. The resulting image name is taken from the definition of the containerImage field of the Module CR. Note If the sign section is defined for the upgraded kernel, then the resulting image will not be the containerImage field of the Module CR, but a temporary image name, because the resulting image should be the product of Sign flow. 2.3.4.3. Sign validation stage Sign validation is executed only when image validation has failed. There is a sign section in the Module resource that is relevant for the upgrade kernel, and build validation finishes successfully in case there was a build section in the Module relevant for the upgraded kernel. Sign validation attempts to run the sign job and validate that it finishes successfully. If the PushBuiltImage flag is defined in the PreflightValidationOCP CR, sign validation also tries to push the resulting image to its registry. The resulting image is always the image defined in the ContainerImage field of the Module . The input image is either the output of the Build stage, or an image defined in the UnsignedImage field. Note If a build section exists, the sign section input image is the build section's output image. Therefore, in order for the input image to be available for the sign section, the PushBuiltImage flag must be defined in the PreflightValidationOCP CR. 2.3.5. Example PreflightValidationOCP resource This section shows an example of the PreflightValidationOCP resource in the YAML format. The example verifies all of the currently present modules against the upcoming kernel version included in the OpenShift Container Platform release 4.11.18, which the following release image points to: quay.io/openshift-release-dev/ocp-release@sha256:22e149142517dfccb47be828f012659b1ccf71d26620e6f62468c264a7ce7863 Because .spec.pushBuiltImage is set to true , KMM pushes the resulting images of Build/Sign in to the defined repositories. apiVersion: kmm.sigs.x-k8s.io/v1beta2 kind: PreflightValidationOCP metadata: name: preflight spec: releaseImage: quay.io/openshift-release-dev/ocp-release@sha256:22e149142517dfccb47be828f012659b1ccf71d26620e6f62468c264a7ce7863 pushBuiltImage: true

Commands:
oc get apirequestcounts
NAME REMOVEDINRELEASE REQUESTSINCURRENTHOUR REQUESTSINLAST24H flowschemas.v1beta2.flowcontrol.apiserver.k8s.io 1.29 0 3 prioritylevelconfigurations.v1beta2.flowcontrol.apiserver.k8s.io 1.29 0 1
oc get apirequestcounts -o jsonpath='{range .items[?(@.status.removedInRelease!="")]}{.status.removedInRelease}{"\t"}{.metadata.name}{"\n"}{end}'
1.29 flowschemas.v1beta2.flowcontrol.apiserver.k8s.io 1.29 prioritylevelconfigurations.v1beta2.flowcontrol.apiserver.k8s.io
oc get apirequestcounts <resource>.<version>.<group> -o yaml
oc get apirequestcounts flowschemas.v1beta2.flowcontrol.apiserver.k8s.io -o yaml
oc get apirequestcounts flowschemas.v1beta2.flowcontrol.apiserver.k8s.io -o jsonpath='{range .status.currentHour..byUser[*]}{..byVerb[*].verb}{","}{.username}{","}{.userAgent}{"\n"}{end}' | sort -k 2 -t, -u | column -t -s, -NVERBS,USERNAME,USERAGENT
VERBS USERNAME USERAGENT create system:admin oc/4.13.0 (linux/amd64) list get system:serviceaccount:myns:default oc/4.16.0 (linux/amd64) watch system:serviceaccount:myns:webhook webhook/v1.0.0 (linux/amd64)
oc -n openshift-config patch cm admin-acks --patch '{"data":{"ack-4.15-kube-1.29-api-removals-in-4.16":"true"}}' --type=merge
oc get cloudcredentials cluster -o=jsonpath={.spec.credentialsMode}
oc get secret <secret_name> -n=kube-system
oc get authentication cluster -o jsonpath --template='{ .spec.serviceAccountIssuer }'
oc adm upgrade
Recommended updates: VERSION IMAGE 4.16.0 quay.io/openshift-release-dev/ocp-release@sha256:6a899c54dda6b844bb12a247e324a0f6cde367e880b73ba110c056df6d018032
RELEASE_IMAGE=<update_pull_spec>
quay.io/openshift-release-dev/ocp-release@sha256:6a899c54dda6b844bb12a247e324a0f6cde367e880b73ba110c056df6d018032
oc adm release extract --from=USDRELEASE_IMAGE --credentials-requests --included \ 1 --to=<path_to_directory_for_credentials_requests> 2
apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: cloud-credential-operator-iam-ro namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AWSProviderSpec statementEntries: - effect: Allow action: - iam:GetUser - iam:GetUserPolicy - iam:ListAccessKeys resource: "*" secretRef: name: cloud-credential-operator-iam-ro-creds namespace: openshift-cloud-credential-operator 1
oc create namespace <component_namespace>
RELEASE_IMAGE=USD(oc get clusterversion -o jsonpath={..desired.image})
CCO_IMAGE=USD(oc adm release info --image-for='cloud-credential-operator' USDRELEASE_IMAGE -a ~/.pull-secret)
oc image extract USDCCO_IMAGE --file="/usr/bin/ccoctl.<rhel_version>" \ 1 -a ~/.pull-secret
chmod 775 ccoctl.<rhel_version>
./ccoctl.rhel9
OpenShift credentials provisioning tool Usage: ccoctl [command] Available Commands: aws Manage credentials objects for AWS cloud azure Manage credentials objects for Azure gcp Manage credentials objects for Google cloud help Help about any command ibmcloud Manage credentials objects for IBM Cloud nutanix Manage credentials objects for Nutanix Flags: -h, --help help for ccoctl Use "ccoctl [command] --help" for more information about a command.
ccoctl aws create-all \ 1 --name=<name> \ 2 --region=<aws_region> \ 3 --credentials-requests-dir=<path_to_credentials_requests_directory> \ 4 --output-dir=<path_to_ccoctl_output_dir> \ 5 --create-private-s3-bucket 6
ccoctl gcp create-all --name=<name> \ 1 --region=<gcp_region> \ 2 --project=<gcp_project_id> \ 3 --credentials-requests-dir=<path_to_credentials_requests_directory> \ 4 --output-dir=<path_to_ccoctl_output_dir> 5
ccoctl ibmcloud create-service-id --credentials-requests-dir=<path_to_credential_requests_directory> \ 1 --name=<cluster_name> \ 2 --output-dir=<installation_directory> \ 3 --resource-group-name=<resource_group_name> 4
ccoctl azure create-managed-identities --name <azure_infra_name> \ 1 --output-dir ./output_dir --region <azure_region> \ 2 --subscription-id <azure_subscription_id> \ 3 --credentials-requests-dir <path_to_directory_for_credentials_requests> --issuer-url "USD{OIDC_ISSUER_URL}" \ 4 --dnszone-resource-group-name <azure_dns_zone_resourcegroup_name> \ 5 --installation-resource-group-name "USD{AZURE_INSTALL_RG}" 6
oc get authentication cluster -o jsonpath --template='{ .spec.serviceAccountIssuer }'
oc get infrastructure cluster -o jsonpath --template '{ .status.platformStatus.azure.resourceGroupName }'
ccoctl nutanix create-shared-secrets --credentials-requests-dir=<path_to_credentials_requests_directory> \ 1 --output-dir=<ccoctl_output_dir> \ 2 --credentials-source-filepath=<path_to_credentials_file> 3
ls <path_to_ccoctl_output_dir>/manifests/*-credentials.yaml | xargs -I{} oc apply -f {}
apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AWSProviderSpec statementEntries: - effect: Allow action: - s3:CreateBucket - s3:DeleteBucket resource: "*" secretRef: name: <component_secret> namespace: <component_namespace>
apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: aws_access_key_id: <base64_encoded_aws_access_key_id> aws_secret_access_key: <base64_encoded_aws_secret_access_key>
apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: AzureProviderSpec roleBindings: - role: Contributor secretRef: name: <component_secret> namespace: <component_namespace>
apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: azure_subscription_id: <base64_encoded_azure_subscription_id> azure_client_id: <base64_encoded_azure_client_id> azure_client_secret: <base64_encoded_azure_client_secret> azure_tenant_id: <base64_encoded_azure_tenant_id> azure_resource_prefix: <base64_encoded_azure_resource_prefix> azure_resourcegroup: <base64_encoded_azure_resourcegroup> azure_region: <base64_encoded_azure_region>
apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component_credentials_request> namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: GCPProviderSpec predefinedRoles: - roles/iam.securityReviewer - roles/iam.roleViewer skipServiceCheck: true secretRef: name: <component_secret> namespace: <component_namespace>
apiVersion: v1 kind: Secret metadata: name: <component_secret> namespace: <component_namespace> data: service_account.json: <base64_encoded_gcp_service_account_file>
oc edit cloudcredential cluster
metadata: annotations: cloudcredential.openshift.io/upgradeable-to: <version_number>
RUN depmod -b /opt USD{KERNEL_VERSION}
quay.io/openshift-release-dev/ocp-release@sha256:22e149142517dfccb47be828f012659b1ccf71d26620e6f62468c264a7ce7863
apiVersion: kmm.sigs.x-k8s.io/v1beta2 kind: PreflightValidationOCP metadata: name: preflight spec: releaseImage: quay.io/openshift-release-dev/ocp-release@sha256:22e149142517dfccb47be828f012659b1ccf71d26620e6f62468c264a7ce7863 pushBuiltImage: true