Release notes

Red Hat Advanced Cluster Management for Kubernetes 2.4

Red Hat Advanced Cluster Management for Kubernetes Release notes

Red Hat Advanced Cluster Management for Kubernetes Team

Abstract

Red Hat Advanced Cluster Management for Kubernetes release notes, what's new and known issues

Chapter 1. Release notes

1.1. What’s new in Red Hat Advanced Cluster Management for Kubernetes

Red Hat Advanced Cluster Management for Kubernetes provides visibility of your entire Kubernetes domain with built-in governance, cluster lifecycle management, and application lifecycle management, along with observability. With this release, you can move towards managing clusters in more environments, GitOps integration for applications, and more.

Important: Some features and components are identified and released as Technology Preview.

Learn more about what is new this release:

1.1.1. Web console

The changes to the side-bar navigation align with other products and offer a better user experience. From the navigation, you can access various product features.

1.1.1.1. Observability

1.1.2. Clusters

  • You can now host OpenShift Container Platform hub clusters on the following platforms, as well as manage clusters that are provisioned on these platforms:

    • IBM Z systems
    • IBM Power systems
  • Create and manage a Microsoft Azure Government cluster using the Red Hat Advanced Cluster Management console. See Creating a credential for Microsoft Azure for more information.
  • Create infrastructure environments to manage your on-premises clusters. See Creating an infrastructure environment for more information.
  • Create on-premises clusters in an infrastructure environment with the Red Hat Advanced Cluster Management console. See Creating a cluster in an on-premises environment for more information.
  • Select your managed clusters based on the status of the add-ons. See Add-on status for more information.
  • You can now configure the proxy information for your cluster with the Red Hat Advanced Cluster Management console when you create a cluster. See the creation topic of the cluster that you are creating in Creating a cluster for more information.

Technology Preview:

1.1.3. Applications

Choose a type of application to create from the Application console Create application drop-down menu. You have the option to create a Git repository, Helm repository, or Object Storage repository Subscription. Subscriptions are Kubernetes resources within channels (source repositories).

Technology Preview: You can now also choose to create an Argo CD ApplicationSet from the same drop-down menu so that you can manage Argo CD Applications across a larger amount of clusters.

With the YAML Editor on, you can see the file update as you create or edit your applications as you modify the fields.

You can specify the secondary channel when you create an application, or after. When you create the secondary channel, the application uses the secondary when the primary fails.

As a subscription administrator, you can create an allow and deny list. In the same role, you can also now deploy all application resources into the subscription namespace. See Application advanced configuration for more information about subscription administrator tasks and other advanced configuration topics.

For other Application topics, see Managing applications.

1.1.4. Governance

  • You can use new columns that are displayed from the Governance page. Use the Source column from the console to identify policies that are deployed using GitOps. Use the Status column to verify the enablement of a policy. For more information, see Manage security policies.
  • You can now use Red Hat Advanced Cluster Management clusters that are FIPS ready. For more details, see FIPS readiness.
  • Use the integration of Red Hat Insights and governance to send alerts for governance violations. You can also identify which component sent the violation. See Managing insight PolicyReports for more information.
  • Customize your dashboard with new filtering options that support bulk actions. See Customize the Governance page for more information.
  • Use the policy_governance_info metric to view trends and analyze any policy failures. See Governance metric for more details.

See Governance to learn more about the dashboard and the policy framework.

To see more release note topics, go to the Release notes.

1.2. Errata updates

By default, Errata updates are automatically applied when released. See Upgrading by using the operator for more information.

Important: For reference, Errata links and GitHub numbers might be added to the content and used internally. Links that require access might not be available for the user.

FIPS notice: If you do not specify your own ciphers in spec.ingress.sslCiphers, then the multiclusterhub-operator provides a default list of ciphers. For 2.3, this list includes two ciphers that are not FIPS approved. If you upgrade from a version 2.3.x or earlier and want FIPS compliance, remove the following two ciphers from the multiclusterhub resource: ECDHE-ECDSA-CHACHA20-POLY1305 and ECDHE-RSA-CHACHA20-POLY1305.

Note: Currently no Errata release is available.

1.3. Known issues

Review the known issues for Red Hat Advanced Cluster Management for Kubernetes. The following list contains known issues for this release, or known issues that continued from the previous release. For your Red Hat OpenShift Container Platform cluster, see OpenShift Container Platform known issues.

1.3.1. Installation known issues

1.3.1.1. Upgrade from version 2.2.x to 2.3.1 upgrade fails to progress

When you upgrade your Red Hat Advanced Cluster Management from version 2.2.x to 2.3.1, the upgrade fails. The Multiclusterhub status displays: failed to download chart from helm repo in the component error messages. You may also see errors that reference a problem with no endpoints available for service "ocm-webhook".

On your hub cluster, run the following command in the namespace where Red Hat Advanced Cluster Management is installed to restart deployments and upgrade to version 2.3.1:

oc delete deploy ocm-proxyserver ocm-controller ocm-webhook multiclusterhub-repo

Note: The errors resolve, but the reconciliation process might not start immediately. This can be accelerated by restarting the multicluster-operators-standalone-subscription in the same namespace that the product is installed.

1.3.1.2. OpenShift Container Platform cluster upgrade failed status

When an OpenShift Container Platform cluster is in the upgrade stage, the cluster pods are restarted and the cluster might remain in upgrade failed status for a variation of 1-5 minutes. This behavior is expected and resolves after a few minutes.

1.3.2. Web console known issues

1.3.2.1. Node discrepancy between Cluster page and search results

You might see a discrepancy between the nodes displayed on the Cluster page and the Search results.

1.3.2.2. LDAP user names are case-sensitive

LDAP user names are case-sensitive. You must use the name exactly the way it is configured in your LDAP directory.

1.3.2.3. Console features might not display in Firefox earlier version

The product supports Mozilla Firefox 74.0 or the latest version that is available for Linux, macOS, and Windows. Upgrade to the latest version for the best console compatibility.

1.3.2.4. Restrictions for storage size in searchcustomization

When you update the storage size in the searchcustomization CR, the PVC configuration does not change. If you need to update the storage size, update the PVC (<storageclassname>-search-redisgraph-0) with the following command:

oc edit pvc <storageclassname>-search-redisgraph-0

1.3.3. Observability known issues

1.3.3.1. Duplicate local-clusters on Service-level Overview dashboard

When various hub clusters deploy Red Hat Advanced Cluster Management observability using the same S3 storage, duplicate local-clusters can be detected and displayed within the Kubernetes/Service-Level Overview/API Server dashboard. The duplicate clusters affect the results within the following panels: Top Clusters, # of clusters that has exceeded the SLO, and # of clusters that are meeting the SLO. The local-clusters are unique clusters associated with the shared S3 storage. To prevent multiple local-clusters from displaying within the dashboard, it is recommended for each unique hub cluster to deploy observability with a S3 bucket specifically for the hub cluster.

1.3.3.2. Observability endpoint operator fails to pull image

The observability endpoint operator fails if you create a pull-secret to deploy to the MultiClusterObservability CustomResource (CR) and there is no pull-secret in the open-cluster-management-observability namespace. When you import a new cluster, or import a Hive cluster that is created with Red Hat Advanced Cluster Management, you need to manually create a pull-image secret on the managed cluster.

For more information, see Enabling observability.

1.3.3.3. There is no data from ROKS cluster

Red Hat Advanced Cluster Management observability does not display data from an ROKS cluster on some panels within built-in dashboards. This is because ROKS does not expose any API Server metrics from servers they manage. The following Grafana dashboards contain panels that do not support ROKS clusters: Kubernetes/API server, Kubernetes/Compute Resources/Workload, Kubernetes/Compute Resources/Namespace(Workload)

1.3.3.4. There is no etcd data from ROKS clusters

For ROKS clusters, Red Hat Advanced Cluster Management observability does not display data in the etcd panel of the dashboard.

1.3.3.5. High CPU usage by the search-collector pod

When search is disabled on a hub cluster that manages 1000 clusters, the search-collector pod crashes due to the out-of-memory error (OOM). Complete the following steps:

  1. If search is disabled on the hub cluster, which means the search-redisgraph-pod is not deployed, reduce memory usage by scaling down the search-collector deployment to 0 replicas.
  2. If search is enabled on the hub cluster, which means the search-redisgraph-pod is deployed, increase the allocated memory by editing the search-collector deployment.

1.3.3.6. Search pods fail to complete the TLS handshake due to invalid certificates

In some rare cases, the search pods are not automatically redeployed after certificates change. This causes a mismatch of certificates across the service pods, which causes the Transfer Layer Security (TLS) handshake to fail. To fix this problem, restart the search pods to reset the certificates.

1.3.3.7. Metrics are unavailable in the Grafana console

  • Annotation query failed in the Grafana console:

    When you search for a specific annotation in the Grafana console, you might receive the following error message due to an expired token:

    "Annotation Query Failed"

    Refresh your browser and verify you are logged into your hub cluster.

  • Error in rbac-query-proxy pod:

    Due to unauthorized access to the managedcluster resource, you might receive the following error when you query a cluster or project:

    no project or cluster found

    Check the role permissions and update appropriately. See Role-based access control for more information.

1.3.3.8. Prometheus data loss on managed clusters

By default, Prometheus on OpenShift uses ephemeral storage. Prometheus loses all metrics data whenever it is restarted.

When observability is enabled or disabled on OpenShift Container Platform managed clusters that are managed by Red Hat Advanced Cluster Management, the observability endpoint operator updates the cluster-monitoring-config ConfigMap by adding additional alertmanager configuration that restarts the local Prometheus automatically.

1.3.4. Cluster management known issues

1.3.4.1. Cluster provisioning on Google Cloud Platform fails

When you try to provision a cluster on Google Cloud Platform (GCP), it might fail with the following error:

Cluster initialization failed because one or more operators are not functioning properly.
The cluster should be accessible for troubleshooting as detailed in the documentation linked below,
https://docs.openshift.com/container-platform/latest/support/troubleshooting/troubleshooting-installations.html
The 'wait-for install-complete' subcommand can then be used to continue the installation

You can work around this error by enabling the Network Security API on the GCP project, which allows your cluster installation to continue.

1.3.4.2. Cluster provisioning with Infrastructure Operator fails

When creating OpenShift Container Platform clusters using the Infrastructure Operator, the file name of the ISO image might be too long. The long image name causes the image provisioning and the cluster provisioning to fail. To determine if this is the problem, complete the following steps:

  1. View the bare metal host information for the cluster that you are provisioning by running the following command:

    oc get bmh -n <cluster_provisioning_namespace>
  2. Run the describe command to view the error information:

    oc describe bmh -n <cluster_provisioning_namespace> <bmh_name>
  3. An error similar to the following example indicates that the length of the filename is the problem:

    Status:
      Error Count:    1
      Error Message:  Image provisioning failed: ... [Errno 36] File name too long ...

If this problem occurs, it is typically on the following versions of OpenShift Container Platform, because the infrastructure operator was not using image service:

  • 4.8.17 and earlier
  • 4.9.6 and earlier

To avoid this error, upgrade your OpenShift Container Platform to version 4.8.18 or later, or 4.9.7 or later.

1.3.4.3. Cannot hibernate an Azure Government cluster

When you try to hibernate an Azure Government cluster, the hibernation fails with the following error that is added to the provision pod log:

Confidential Client is not supported in Cross Cloud request

1.3.4.4. Cluster upgrade issues cause cluster to stop displaying the OpenShift Container Platform version

When upgrading the OpenShift Container Platform version of your managed cluster using Red Hat Advanced Cluster Management, the OpenShift Container Platform version that is displayed on the Cluster details page might change to show the version of kube if there are problems with the upgrade.

1.3.4.5. Local-cluster status offline after reimporting with a different name

When you accidentally try to reimport the cluster named local-cluster as a cluster with a different name, the status for local-cluster and for the reimported cluster display offline.

To recover from this case, complete the following steps:

  1. Run the followiung command on the hub cluster to edit the setting for self-management of the hub cluster temporarily:

    oc edit mch -n open-cluster-management multiclusterhub
  2. Add the setting spec.disableSelfManagement=true.
  3. Run the following command on the hub cluster to delete and redeploy the local-cluster:

    oc delete managedcluster local-cluster
  4. Enter the following command to remove the local-cluster management setting:

    oc edit mch -n open-cluster-management multiclusterhub
  5. Remove spec.disableSelfManagement=true that you previously added.

1.3.4.6. Cluster provision with Ansible automation fails in proxy environment

An AnsibleJob template that is configured to automatically provision a managed cluster might fail when both of the following conditions are met:

  • The hub cluster has cluster-wide proxy enabled.
  • The Ansible Tower can only be reached through the proxy.

1.3.4.7. Version of the klusterlet operator must be the same as the hub cluster

If you import a managed cluster by installing the klusterlet operator, the version of the klusterlet operator must be the same as the version of the hub cluster or the klusterlet operator will not work.

1.3.4.8. Cannot delete managed cluster namespace manually

You cannot delete the namespace of a managed cluster manually. The managed cluster namespace is automatically deleted after the managed cluster is detached. If you delete the managed cluster namespace manually before the managed cluster is detached, the managed cluster shows a continuous terminating status after you delete the managed cluster. To delete this terminating managed cluster, manually remove the finalizers from the managed cluster that you detached.

1.3.4.9. Cannot change credentials on clusters after upgrading to version 2.3

After you upgrade Red Hat Advanced Cluster Management to version 2.3, you cannot change the credential secret for any of the managed clusters that were created and managed by Red Hat Advanced Cluster Management before the upgrade.

1.3.4.10. Cannot create bare metal managed clusters on OpenShift Container Platform version 4.8

You cannot create bare metal managed clusters by using the Red Hat Advanced Cluster Management hub cluster when the hub cluster is hosted on OpenShift Container Platform version 4.8.

1.3.4.11. Hub cluster and managed clusters clock not synced

Hub cluster and manage cluster time might become out-of-sync, displaying in the console unknown and eventually available within a few minutes. Ensure that the Red Hat OpenShift Container Platform hub cluster time is configured correctly. See Customizing nodes.

1.3.4.12. Importing certain versions of IBM OpenShift Container Platform Kubernetes Service clusters is not supported

You cannot import IBM OpenShift Container Platform Kubernetes Service version 3.11 clusters. Later versions of IBM OpenShift Kubernetes Service are supported.

1.3.4.13. Detaching OpenShift Container Platform 3.11 does not remove the open-cluster-management-agent

When you detach managed clusters on OpenShift Container Platform 3.11, the open-cluster-management-agent namespace is not automatically deleted. Manually remove the namespace by running the following command:

oc delete ns open-cluster-management-agent

1.3.4.14. Automatic secret updates for provisioned clusters is not supported

When you change your cloud provider access key, the provisioned cluster access key is not updated in the namespace. This is required when your credentials expire on the cloud provider where the managed cluster is hosted and you try delete the managed cluster. If something like this occurs, run the following command for your cloud provider to update the access key:

  • Amazon Web Services (AWS)

    oc patch secret {CLUSTER-NAME}-aws-creds -n {CLUSTER-NAME} --type json -p='[{"op": "add", "path": "/stringData", "value":{"aws_access_key_id": "{YOUR-NEW-ACCESS-KEY-ID}","aws_secret_access_key":"{YOUR-NEW-aws_secret_access_key}"} }]'
  • Google Cloud Platform (GCP)

    You can identify this issue by a repeating log error message that reads, Invalid JWT Signature when you attempt to destroy the cluster. If your log contains this message, obtain a new Google Cloud Provider service account JSON key and enter the following command:

    oc set data secret/<CLUSTER-NAME>-gcp-creds -n <CLUSTER-NAME> --from-file=osServiceAccount.json=$HOME/.gcp/osServiceAccount.json

    Replace CLUSTER-NAME with the name of your cluster.

    Replace the path to the file $HOME/.gcp/osServiceAccount.json with the path to the file that contains your new Google Cloud Provider service account JSON key.

  • Microsoft Azure

    oc set data secret/{CLUSTER-NAME}-azure-creds -n {CLUSTER-NAME} --from-file=osServiceAccount.json=$HOME/.azure/osServiceAccount.json
  • VMware vSphere

    oc patch secret {CLUSTER-NAME}-vsphere-creds -n {CLUSTER-NAME} --type json -p='[{"op": "add", "path": "/stringData", "value":{"username": "{YOUR-NEW-VMware-username}","password":"{YOUR-NEW-VMware-password}"} }]'

1.3.4.16. Process to destroy a cluster does not complete

When you destroy a managed cluster, the status continues to display Destroying after one hour, and the cluster is not destroyed. To resolve this issue complete the following steps:

  1. Manually ensure that there are no orphaned resources on your cloud, and that all of the provider resources that are associated with the managed cluster are cleaned up.
  2. Open the ClusterDeployment information for the managed cluster that is being removed by entering the following command:

    oc edit clusterdeployment/<mycluster> -n <namespace>

    Replace mycluster with the name of the managed cluster that you are destroying.

    Replace namespace with the namespace of the managed cluster.

  3. Remove the hive.openshift.io/deprovision finalizer to forcefully stop the process that is trying to clean up the cluster resources in the cloud.
  4. Save your changes and verify that ClusterDeployment is gone.
  5. Manually remove the namespace of the managed cluster by running the following command:

    oc delete ns <namespace>

    Replace namespace with the namespace of the managed cluster.

1.3.4.17. Cannot upgrade OpenShift Container Platform managed clusters on OpenShift Container Platform Dedicated with the console

You cannot use the Red Hat Advanced Cluster Management console to upgrade OpenShift Container Platform managed clusters that are in the OpenShift Container Platform Dedicated environment.

1.3.4.19. Cannot create clusters across architectures

You cannot create a managed cluster on a different architecture than the architecture of the hub cluster without creating a release image (ClusterImageSet) that contains files for both architectures. For example, you cannot create an x86_64 cluster from a ppc64le or s390x hub cluster. The cluster creation fails because the OpenShift Container Platform release registry does not provide a multi-architecture image manifest.

To work around this issue, complete steps similar to the following example for your architecture type:

  1. From the OpenShift Container Platform release registry, create a manifest list that includes x86_64, s390x and ppc64le release images.

    1. Pull the manifest lists for both architectures in your environment from the Quay repository:

      $ podman pull quay.io/openshift-release-dev/ocp-release:4.9.1-x86_64
      $ podman pull quay.io/openshift-release-dev/ocp-release:4.9.1-ppc64le
      $ podman pull quay.io/openshift-release-dev/ocp-release:4.9.1-s390x
    2. Log in to your private repository where you maintain your images:

      $ podman login <private-repo>

      Replace private-repo with the path to your repository.

    3. Add the release image manifest to your private repository by running the following commands that apply to your environment:

      $ podman push quay.io/openshift-release-dev/ocp-release:4.9.1-x86_64 <private-repo>/ocp-release:4.9.1-x86_64
      $ podman push quay.io/openshift-release-dev/ocp-release:4.9.1-ppc64le <private-repo>/ocp-release:4.9.1-ppc64le
      $ podman push quay.io/openshift-release-dev/ocp-release:4.9.1-s390x <private-repo>/ocp-release:4.9.1-s390x

      Replace private-repo with the path to your repository.

    4. Create a manifest for the new information:

      $ podman manifest create mymanifest
    5. Add references to both release images to the manifest list:

      $ podman manifest add mymanifest <private-repo>/ocp-release:4.9.1-x86_64
      $ podman manifest add mymanifest <private-repo>/ocp-release:4.9.1-ppc64le
      $ podman manifest add mymanifest <private-repo>/ocp-release:4.9.1-s390x

      Replace private-repo with the path to your repository.

    6. Merge the list in your manifest list with the existing manifest:

      $ podman manifest push mymanifest docker://<private-repo>/ocp-release:4.9.1

      Replace private-repo with the path to your repository.

  2. On the hub cluster, create a release image that references the manifest in your repository.

    1. Create a YAML file that contains information that is similar to the following example:

      apiVersion: hive.openshift.io/v1
      kind: ClusterImageSet
      metadata:
        labels:
          channel: fast
          visible: "true"
        name: img4.9.1-appsub
      spec:
        releaseImage: <private-repo>/ocp-release:4.9.1

      Replace private-repo with the path to your repository.

    2. Run the following command on your hub cluster to apply the changes:

      oc apply -f <file-name>.yaml

      Replace file-name with the name of the YAML file that you just created.

  3. Select the new release image when you create your OpenShift Container Platform cluster.

The creation process uses the merged release images to create the cluster.

1.3.4.20. Argo CD is not supported with IBM Power or IBM Z system hub cluster

The Argo CD integration with Red Hat Advanced Cluster Management does not work on a Red Hat Advanced Cluster Management hub cluster that is running on IBM Power or IBM Z systems because there are no available ppc64le or s390x images.

1.3.4.21. Cannot use Ansible Tower integration with an IBM Power or IBM Z system hub cluster

You cannot use the Ansible Tower integration when the Red Hat Advanced Cluster Management for Kubernetes hub cluster is running on IBM Power or IBM Z systems because the Ansible Automation Platform Resource Operator does not provide ppc64le or s390x images.

1.3.4.22. Non-Red Hat OpenShift Container Platform managed clusters must have LoadBalancer enabled

Both Red Hat OpenShift Container Platform and non-OpenShift Container Platform clusters support the pod log feature, however non-OpenShift Container Platform clusters require LoadBalancer to be enabled to use the feature. Complete the following steps to enable LoadBalancer:

  1. Cloud providers have different LoadBalancer configurations. Visit your cloud provider documentation for more information.
  2. Verify if LoadBalancer is enabled on your Red Hat Advanced Cluster Management by checking the loggingEndpoint in the status of managedClusterInfo.
  3. Run the following command to check if the loggingEndpoint.IP or loggingEndpoint.Host has a valid IP address or host name:

    oc get managedclusterinfo <clusterName> -n <clusterNamespace> -o json | jq -r '.status.loggingEndpoint'

For more information about the LoadBalancer types, see the Service page in the Kubernetes documentation.

1.3.5. Application management known issues

1.3.5.1. Application topology clusters with multiple subscriptions not grouped properly

A cluster might not group properly in the Application topology if the cluster is using multiple subscriptions.

When you deploy an application with multiple subscriptions, you might see that the All subscriptions view does not group the cluster nodes properly.

For instance, when you deploy an application with multiple subscriptions containing a mixed combination of Helm and Git repositories, the All subscriptions view does not display statuses correctly for the resources within the Helm subscription.

View the topology from the individual subscription views instead to display the correct cluster node grouping information.

1.3.5.2. Application Ansible hook stand-alone mode

Ansible hook stand-alone mode is not supported. To deploy Ansible hook on the hub cluster with a subscription, you might use the following subscription YAML:

apiVersion: apps.open-cluster-management.io/v1
kind: Subscription
metadata:
  name: sub-rhacm-gitops-demo
  namespace: hello-openshift
annotations:
  apps.open-cluster-management.io/github-path: myapp
  apps.open-cluster-management.io/github-branch: master
spec:
  hooksecretref:
      name: toweraccess
  channel: rhacm-gitops-demo/ch-rhacm-gitops-demo
  placement:
     local: true

However, this configuration might never create the Ansible instance, since the spec.placement.local:true has the subscription running on standalone mode. You need to create the subscription in hub mode.

  1. Create a placement rule that deploys to local-cluster. See the following sample:

    apiVersion: apps.open-cluster-management.io/v1
    kind: PlacementRule
    metadata:
      name: <towhichcluster>
      namespace: hello-openshift
    spec:
      clusterSelector:
        matchLabels:
          local-cluster: "true" #this points to your hub cluster
  2. Reference that placement rule in your subscription. See the following:

    apiVersion: apps.open-cluster-management.io/v1
    kind: Subscription
    metadata:
      name: sub-rhacm-gitops-demo
      namespace: hello-openshift
    annotations:
      apps.open-cluster-management.io/github-path: myapp
      apps.open-cluster-management.io/github-branch: master
    spec:
      hooksecretref:
          name: toweraccess
      channel: rhacm-gitops-demo/ch-rhacm-gitops-demo
      placement:
         placementRef:
            name: <towhichcluster>
            kind: PlacementRule

After applying both, you should see the Ansible instance created in your hub cluster.

1.3.5.3. Edit role for application error

A user performing in an Editor role should only have read or update authority on an application, but erroneously editor can also create and delete an application. OpenShift Container Platform Operator Lifecycle Manager default settings change the setting for the product. To workaround the issue, see the following procedure:

  1. Run oc edit clusterrole applications.app.k8s.io-v1beta2-edit -o yaml to open the application edit cluster role.
  2. Remove create and delete from the verbs list.
  3. Save the change.

1.3.5.4. Edit role for placement rule error

A user performing in an Editor role should only have read or update authority on an placement rule, but erroneously editor can also create and delete, as well. OpenShift Container Platform Operator Lifecycle Manager default settings change the setting for the product. To workaround the issue, see the following procedure:

  1. Run oc edit clusterrole placementrules.apps.open-cluster-management.io-v1-edit to open the application edit cluster role.
  2. Remove create and delete from the verbs list.
  3. Save the change.

1.3.5.5. Application not deployed after an updated placement rule

If applications are not deploying after an update to a placement rule, verify that the klusterlet-addon-appmgr pod is running. The klusterlet-addon-appmgr is the subscription container that needs to run on endpoint clusters.

You can run oc get pods -n open-cluster-management-agent-addon to verify.

You can also search for kind:pod cluster:yourcluster in the console and see if the klusterlet-addon-appmgr is running.

If you cannot verify, attempt to import the cluster again and verify again.

1.3.5.6. Subscription operator does not create an SCC

Learn about Red Hat OpenShift Container Platform SCC at Managing Security Context Constraints (SCC), which is an additional configuration required on the managed cluster.

Different deployments have different security context and different service accounts. The subscription operator cannot create an SCC automatically. Administrators control permissions for pods. A Security Context Constraints (SCC) CR is required to enable appropriate permissions for the relative service accounts to create pods in the non-default namespace:

To manually create an SCC CR in your namespace, complete the following:

  1. Find the service account that is defined in the deployments. For example, see the following nginx deployments:

     nginx-ingress-52edb
     nginx-ingress-52edb-backend
  2. Create an SCC CR in your namespace to assign the required permissions to the service account or accounts. See the following example where kind: SecurityContextConstraints is added:

     apiVersion: security.openshift.io/v1
     defaultAddCapabilities:
     kind: SecurityContextConstraints
     metadata:
       name: ingress-nginx
       namespace: ns-sub-1
     priority: null
     readOnlyRootFilesystem: false
     requiredDropCapabilities:
     fsGroup:
       type: RunAsAny
     runAsUser:
       type: RunAsAny
     seLinuxContext:
       type: RunAsAny
     users:
     - system:serviceaccount:my-operator:nginx-ingress-52edb
     - system:serviceaccount:my-operator:nginx-ingress-52edb-backend

1.3.5.7. Application channels require unique namespaces

Creating more than one channel in the same namespace can cause errors with the hub cluster.

For instance, namespace charts-v1 is used by the installer as a Helm type channel, so do not create any additional channels in charts-v1. Ensure that you create your channel in a unique namespace. All channels need an individual namespace, except GitHub channels, which can share a namespace with another GitHub channel.

1.3.5.8. Ansible Automation Platform (early access) job fail

When the Ansible Automation Platform (early access) is installed, AnsibleJobs fails to run. To submit prehook and posthook AnsibleJobs through Red Hat Advanced Cluster Management, use the early-access-cluster-scoped option. The option is available in Ansible Automation Platform (early access) version 2.0.1+0.1635279521 and later.

1.3.5.9. Ansible Automation Platform operator access Ansible Tower outside of a proxy

The Ansible Automation Platform (AAP) operator cannot access Ansible Tower outside of a proxy-enabled OpenShift Container Platform cluster. To resolve, you can install the Ansible tower within the proxy. See install steps that are provided by Ansible Tower.

1.3.5.10. Application name requirements

An application name cannot exceed 37 characters. The application deployment displays the following error if the characters exceed this amount.

status:
  phase: PropagationFailed
  reason: 'Deployable.apps.open-cluster-management.io "_long_lengthy_name_" is invalid: metadata.labels: Invalid value: "_long_lengthy_name_": must be no more than 63 characters/n'

1.3.5.11. Application console tables

See the following limitations to various Application tables in the console:

  • From the Applications table on the Overview page and the Subscriptions table on the Advanced configuration page, the Clusters column displays a count of clusters where application resources are deployed. Since applications are defined by resources on the local cluster, the local cluster is included in the search results, whether actual application resources are deployed on the local cluster or not.
  • From the Advanced configuration table for Subscriptions, the Applications column displays the total number of applications that use that subscription, but if the subscription deploys child applications, those are included in the search result, as well.
  • From the Advanced configuration table for Channels, the Subscriptions column displays the total number of subscriptions on the local cluster that use that channel, but this does not include subscriptions that are deployed by other subscriptions, which are included in the search result.

1.3.6. Governance known issues

1.3.6.1. Ansible Automation jobs continue to run hourly even though no new policy violations started the automation

In OpenShift Container Platform 4.8 the TTL Controller for Finished Resources is enabled by default, which means jobs are removed hourly. This job cleanup causes the Ansible Automation Platform Resource Operator to rerun the associated automation. The automation runs again with the existing details in the AnsibleJob resource that was created by the policy framework. The details provided might include previously identified violations, which can mistakenly appear as a repeated violation. You can disable the controller that cleans up the jobs to prevent these duplicate violations. To disable the controller that cleans up the jobs, complete the following steps:

  1. Run the following command to edit the kubeapiservers.operator.openshift.io resource:

    oc edit kubeapiservers.operator.openshift.io cluster
  2. Find the unsupportedConfigOverrides section.
  3. Update the unsupportedConfigOverrides section to contain content that resembles the following example, which disables the job cleanup feature:

      unsupportedConfigOverrides:
        apiServerArguments:
          feature-gates:
          - TTLAfterFinished=false
  4. Run the following command to edit the kubecontrollermanager resource:

    oc edit kubecontrollermanager cluster
  5. Complete steps 2 and 3 to update the same section in the kubecontrollermanager resource.

1.3.6.2. Unable to log out from Red Hat Advanced Cluster Management

When you use an external identity provider to log in to Red Hat Advanced Cluster Management, you might not be able to log out of Red Hat Advanced Cluster Management. This occurs when you use Red Hat Advanced Cluster Management, installed with IBM Cloud and Keycloak as the identity providers.

You must log out of the external identity provider before you attempt to log out of Red Hat Advanced Cluster Management.

1.3.6.3. Placement resource limitations

As a reminder, a policy must use either a PlacementRule or a Placement resource to control the deployment of policies to specific managed clusters. If you create policies that use the Placement resource, you might encounter the following limitations:

  • The placement information is not shown when you view the details of the policy from the console.
  • The placement information is not removed when the policy is deleted from the console.
  • When you edit the policy from the console, the placement details are not updated.

Use the command line interface (CLI) to make updates to the policies when you use the Placement resource.

1.3.6.4. Gatekeeper operator installation fails

When you install the gatekeeper operator on Red Hat OpenShift Container Platform version 4.9, the installation fails. Before you upgrade OpenShift Container Platform to version 4.9.0., you must upgrade the gatekeeper operator to version 0.2.0. See Upgrading gatekeeper and the gatekeeper operator for more information.

1.3.7. Backup and restore known issues

1.3.7.1. Backup and restore feature does not work on IBM Power and IBM Z

The backup and restore feature for the hub cluster requires the OpenShift API for Data Protection (OADP) operator. The OADP operator is not available on the IBM Power or IBM Z architectures.

1.4. Deprecations and removals

Learn when parts of the product are deprecated or removed from Red Hat Advanced Cluster Management for Kubernetes. Consider the alternative actions in the Recommended action and details, which display in the tables for the current release and for two prior releases.

Important:

  • The 2.0 version of Red Hat Advanced Cluster Management is removed and no longer supported. The documentation might remain available, but it is deprecated without any Errata or other updates available.
  • Upgrading to the most recent version of Red Hat Advanced Cluster Management is best practice.

1.4.1. API deprecations and removals

Red Hat Advanced Cluster Management follows the Kubernetes deprecation guidelines for APIs. See the Kubernetes Deprecation Policy for more details about that policy.

Red Hat Advanced Cluster Management APIs are only deprecated or removed outside of the following timelines:

  • All V1 APIs are generally available and supported for 12 months or three releases, whichever is greater. V1 APIs are not removed, but can be deprecated outside of that time limit.
  • All beta APIs are generally available for nine months or three releases, whichever is greater. Beta APIs are not removed outside of that time limit.
  • All alpha APIs are not required to be supported, but might be listed as deprecated or removed if it benefits users.

1.4.1.1. API deprecations

Product or categoryAffected itemVersionRecommended actionMore details and links

Applications

The v1alpha1 API is removed completely. GitOps clusters API is upgraded to V1beta1.

2.4

Use V1beta1.

None

1.4.2. Red Hat Advanced Cluster Management deprecations

A deprecated component, feature, or service is supported, but no longer recommended for use and might become obsolete in future releases. Consider the alternative actions in the Recommended action and details that are provided in the following table:

Product or categoryAffected itemVersionRecommended actionMore details and links

Governance and risk console

pod-security-policy

2.4

None

None

Installer

Separate cert-manager settings in operator.open-cluster-management.io_multiclusterhubs_crd.yaml

2.3

None

None

Governance and risk

Custom policy controller

2.3

None

None

Applications

HelmRepo channel specification: usage of insecureSkipVerify: "true" is no longer inside the configMapRef

2.2

Use insecureSkipVerify: "true" in the channel without the configMapRef

See the YAML sample for the change.

Installer

Hive settings in operator.open-cluster-management.io_multiclusterhubs_crd.yaml

2.2

Install, then edit hiveconfig directly with the oc edit hiveconfig hive command

None

1.4.3. Removals

A removed item is typically function that was deprecated in previous releases and is no longer available in the product. You must use alternatives for the removed function. Consider the alternative actions in the Recommended action and details that are provided in the following table:

Product or categoryAffected itemVersionRecommended actionMore details and links

Red Hat Advanced Cluster Management console

Visual Web Terminal (Technology Preview)

2.4

Use the terminal instead

None

Applications

Single ArgoCD import mode, secrets imported to one ArgoCD server on the hub cluster

2.3

You can import cluster secrets into multiple ArgoCD servers

None

Applications

ArgoCD cluster integration: spec.applicationManager.argocdCluster

2.3

Create a GitOps cluster and placement custom resource to register managed clusters.

Configuring GitOps on managed clusters

Governance

cert-manager internal certificate management

2.3

No action is required

None

Observability Topology

Topology access from Observe environments removed completely

2.2

None

Application topology is located in Application management and no longer in the Observability console.

Applications

Channel type: Namespace, removed completely

2.2

None

None

1.5. Red Hat Advanced Cluster Management for Kubernetes platform considerations for GDPR readiness

1.5.1. Notice

This document is intended to help you in your preparations for General Data Protection Regulation (GDPR) readiness. It provides information about features of the Red Hat Advanced Cluster Management for Kubernetes platform that you can configure, and aspects of the product’s use, that you should consider to help your organization with GDPR readiness. This information is not an exhaustive list, due to the many ways that clients can choose and configure features, and the large variety of ways that the product can be used in itself and with third-party clusters and systems.

Clients are responsible for ensuring their own compliance with various laws and regulations, including the European Union General Data Protection Regulation. Clients are solely responsible for obtaining advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulations that may affect the clients' business and any actions the clients may need to take to comply with such laws and regulations.

The products, services, and other capabilities described herein are not suitable for all client situations and may have restricted availability. Red Hat does not provide legal, accounting, or auditing advice or represent or warrant that its services or products will ensure that clients are in compliance with any law or regulation.

1.5.2. Table of Contents

1.5.3. GDPR

General Data Protection Regulation (GDPR) has been adopted by the European Union ("EU") and applies from May 25, 2018.

1.5.3.1. Why is GDPR important?

GDPR establishes a stronger data protection regulatory framework for processing personal data of individuals. GDPR brings:

  • New and enhanced rights for individuals
  • Widened definition of personal data
  • New obligations for processors
  • Potential for significant financial penalties for non-compliance
  • Compulsory data breach notification

1.5.3.2. Read more about GDPR

1.5.4. Product Configuration for GDPR

The following sections describe aspects of data management within the Red Hat Advanced Cluster Management for Kubernetes platform and provide information on capabilities to help clients with GDPR requirements.

1.5.5. Data Life Cycle

Red Hat Advanced Cluster Management for Kubernetes is an application platform for developing and managing on-premises, containerized applications. It is an integrated environment for managing containers that includes the container orchestrator Kubernetes, cluster lifecycle, application lifecycle, and security frameworks (governance, risk, and compliance).

As such, the Red Hat Advanced Cluster Management for Kubernetes platform deals primarily with technical data that is related to the configuration and management of the platform, some of which might be subject to GDPR. The Red Hat Advanced Cluster Management for Kubernetes platform also deals with information about users who manage the platform. This data will be described throughout this document for the awareness of clients responsible for meeting GDPR requirements.

This data is persisted on the platform on local or remote file systems as configuration files or in databases. Applications that are developed to run on the Red Hat Advanced Cluster Management for Kubernetes platform might deal with other forms of personal data subject to GDPR. The mechanisms that are used to protect and manage platform data are also available to applications that run on the platform. Additional mechanisms might be required to manage and protect personal data that is collected by applications run on the Red Hat Advanced Cluster Management for Kubernetes platform.

To best understand the Red Hat Advanced Cluster Management for Kubernetes platform and its data flows, you must understand how Kubernetes, Docker, and the Operator work. These open source components are fundamental to the Red Hat Advanced Cluster Management for Kubernetes platform. You use Kubernetes deployments to place instances of applications, which are built into Operators that reference Docker images. The Operator contain the details about your application, and the Docker images contain all the software packages that your applications need to run.

1.5.5.1. What types of data flow through Red Hat Advanced Cluster Management for Kubernetes platform

As a platform, Red Hat Advanced Cluster Management for Kubernetes deals with several categories of technical data that could be considered as personal data, such as an administrator user ID and password, service user IDs and passwords, IP addresses, and Kubernetes node names. The Red Hat Advanced Cluster Management for Kubernetes platform also deals with information about users who manage the platform. Applications that run on the platform might introduce other categories of personal data unknown to the platform.

Information on how this technical data is collected/created, stored, accessed, secured, logged, and deleted is described in later sections of this document.

1.5.5.2. Personal data used for online contact

Customers can submit online comments/feedback/requests for information about in a variety of ways, primarily:

  • The public Slack community if there is a Slack channel
  • The public comments or tickets on the product documentation
  • The public conversations in a technical community

Typically, only the client name and email address are used, to enable personal replies for the subject of the contact, and the use of personal data conforms to the Red Hat Online Privacy Statement.

1.5.6. Data Collection

The Red Hat Advanced Cluster Management for Kubernetes platform does not collect sensitive personal data. It does create and manage technical data, such as an administrator user ID and password, service user IDs and passwords, IP addresses, and Kubernetes node names, which might be considered personal data. The Red Hat Advanced Cluster Management for Kubernetes platform also deals with information about users who manage the platform. All such information is only accessible by the system administrator through a management console with role-based access control or by the system administrator though login to a Red Hat Advanced Cluster Management for Kubernetes platform node.

Applications that run on the Red Hat Advanced Cluster Management for Kubernetes platform might collect personal data.

When you assess the use of the Red Hat Advanced Cluster Management for Kubernetes platform running containerized applications and your need to meet the requirements of GDPR, you must consider the types of personal data that are collected by the application and aspects of how that data is managed, such as:

  • How is the data protected as it flows to and from the application? Is the data encrypted in transit?
  • How is the data stored by the application? Is the data encrypted at rest?
  • How are credentials that are used to access the application collected and stored?
  • How are credentials that are used by the application to access data sources collected and stored?
  • How is data collected by the application removed as needed?

This is not a definitive list of the types of data that are collected by the Red Hat Advanced Cluster Management for Kubernetes platform. It is provided as an example for consideration. If you have any questions about the types of data, contact Red Hat.

1.5.7. Data storage

The Red Hat Advanced Cluster Management for Kubernetes platform persists technical data that is related to configuration and management of the platform in stateful stores on local or remote file systems as configuration files or in databases. Consideration must be given to securing all data at rest. The Red Hat Advanced Cluster Management for Kubernetes platform supports encryption of data at rest in stateful stores that use dm-crypt.

The following items highlight the areas where data is stored, which you might want to consider for GDPR.

  • Platform Configuration Data: The Red Hat Advanced Cluster Management for Kubernetes platform configuration can be customized by updating a configuration YAML file with properties for general settings, Kubernetes, logs, network, Docker, and other settings. This data is used as input to the Red Hat Advanced Cluster Management for Kubernetes platform installer for deploying one or more nodes. The properties also include an administrator user ID and password that are used for bootstrap.
  • Kubernetes Configuration Data: Kubernetes cluster state data is stored in a distributed key-value store, etcd.
  • User Authentication Data, including User IDs and passwords: User ID and password management are handled through a client enterprise LDAP directory. Users and groups that are defined in LDAP can be added to Red Hat Advanced Cluster Management for Kubernetes platform teams and assigned access roles. Red Hat Advanced Cluster Management for Kubernetes platform stores the email address and user ID from LDAP, but does not store the password. Red Hat Advanced Cluster Management for Kubernetes platform stores the group name and upon login, caches the available groups to which a user belongs. Group membership is not persisted in any long-term way. Securing user and group data at rest in the enterprise LDAP must be considered. Red Hat Advanced Cluster Management for Kubernetes platform also includes an authentication service, Open ID Connect (OIDC) that interacts with the enterprise directory and maintains access tokens. This service uses ETCD as a backing store.
  • Service authentication data, including user IDs and passwords: Credentials that are used by Red Hat Advanced Cluster Management for Kubernetes platform components for inter-component access are defined as Kubernetes Secrets. All Kubernetes resource definitions are persisted in the etcd key-value data store. Initial credentials values are defined in the platform configuration data as Kubernetes Secret configuration YAML files. For more information, see Managing secrets.

1.5.8. Data access

Red Hat Advanced Cluster Management for Kubernetes platform data can be accessed through the following defined set of product interfaces.

  • Web user interface (the console)
  • Kubernetes kubectl CLI
  • Red Hat Advanced Cluster Management for Kubernetes CLI
  • oc CLI

These interfaces are designed to allow you to make administrative changes to your Red Hat Advanced Cluster Management for Kubernetes cluster. Administration access to Red Hat Advanced Cluster Management for Kubernetes can be secured and involves three logical, ordered stages when a request is made: authentication, role-mapping, and authorization.

1.5.8.1. Authentication

The Red Hat Advanced Cluster Management for Kubernetes platform authentication manager accepts user credentials from the console and forwards the credentials to the backend OIDC provider, which validates the user credentials against the enterprise directory. The OIDC provider then returns an authentication cookie (auth-cookie) with the content of a JSON Web Token (JWT) to the authentication manager. The JWT token persists information such as the user ID and email address, in addition to group membership at the time of the authentication request. This authentication cookie is then sent back to the console. The cookie is refreshed during the session. It is valid for 12 hours after you sign out of the console or close your web browser.

For all subsequent authentication requests made from the console, the front-end NGINX server decodes the available authentication cookie in the request and validates the request by calling the authentication manager.

The Red Hat Advanced Cluster Management for Kubernetes platform CLI requires the user to provide credentials to log in.

The kubectl and oc CLI also requires credentials to access the cluster. These credentials can be obtained from the management console and expire after 12 hours. Access through service accounts is supported.

1.5.8.2. Role Mapping

Red Hat Advanced Cluster Management for Kubernetes platform supports role-based access control (RBAC). In the role mapping stage, the user name that is provided in the authentication stage is mapped to a user or group role. The roles are used when authorizing which administrative activities can be carried out by the authenticated user.

1.5.8.3. Authorization

Red Hat Advanced Cluster Management for Kubernetes platform roles control access to cluster configuration actions, to catalog and Helm resources, and to Kubernetes resources. Several IAM (Identity and Access Management) roles are provided, including Cluster Administrator, Administrator, Operator, Editor, Viewer. A role is assigned to users or user groups when you add them to a team. Team access to resources can be controlled by namespace.

1.5.8.4. Pod Security

Pod security policies are used to set up cluster-level control over what a pod can do or what it can access.

1.5.9. Data Processing

Users of Red Hat Advanced Cluster Management for Kubernetes can control the way that technical data that is related to configuration and management is processed and secured through system configuration.

Role-based access control (RBAC) controls what data and functions can be accessed by users.

Data-in-transit is protected by using TLS. HTTPS (TLS underlying) is used for secure data transfer between user client and back end services. Users can specify the root certificate to use during installation.

Data-at-rest protection is supported by using dm-crypt to encrypt data.

These same platform mechanisms that are used to manage and secure Red Hat Advanced Cluster Management for Kubernetes platform technical data can be used to manage and secure personal data for user-developed or user-provided applications. Clients can develop their own capabilities to implement further controls.

1.5.10. Data Deletion

Red Hat Advanced Cluster Management for Kubernetes platform provides commands, application programming interfaces (APIs), and user interface actions to delete data that is created or collected by the product. These functions enable users to delete technical data, such as service user IDs and passwords, IP addresses, Kubernetes node names, or any other platform configuration data, as well as information about users who manage the platform.

Areas of Red Hat Advanced Cluster Management for Kubernetes platform to consider for support of data deletion:

  • All technical data that is related to platform configuration can be deleted through the management console or the Kubernetes kubectl API.

Areas of Red Hat Advanced Cluster Management for Kubernetes platform to consider for support of account data deletion:

  • All technical data that is related to platform configuration can be deleted through the Red Hat Advanced Cluster Management for Kubernetes or the Kubernetes kubectl API.

Function to remove user ID and password data that is managed through an enterprise LDAP directory would be provided by the LDAP product used with Red Hat Advanced Cluster Management for Kubernetes platform.

1.5.11. Capability for Restricting Use of Personal Data

Using the facilities summarized in this document, Red Hat Advanced Cluster Management for Kubernetes platform enables an end user to restrict usage of any technical data within the platform that is considered personal data.

Under GDPR, users have rights to access, modify, and restrict processing. Refer to other sections of this document to control the following:

  • Right to access

    • Red Hat Advanced Cluster Management for Kubernetes platform administrators can use Red Hat Advanced Cluster Management for Kubernetes platform features to provide individuals access to their data.
    • Red Hat Advanced Cluster Management for Kubernetes platform administrators can use Red Hat Advanced Cluster Management for Kubernetes platform features to provide individuals information about what data Red Hat Advanced Cluster Management for Kubernetes platform holds about the individual.
  • Right to modify

    • Red Hat Advanced Cluster Management for Kubernetes platform administrators can use Red Hat Advanced Cluster Management for Kubernetes platform features to allow an individual to modify or correct their data.
    • Red Hat Advanced Cluster Management for Kubernetes platform administrators can use Red Hat Advanced Cluster Management for Kubernetes platform features to correct an individual’s data for them.
  • Right to restrict processing

    • Red Hat Advanced Cluster Management for Kubernetes platform administrators can use Red Hat Advanced Cluster Management for Kubernetes platform features to stop processing an individual’s data.

1.5.12. Appendix

As a platform, Red Hat Advanced Cluster Management for Kubernetes deals with several categories of technical data that could be considered as personal data, such as an administrator user ID and password, service user IDs and passwords, IP addresses, and Kubernetes node names. Red Hat Advanced Cluster Management for Kubernetes platform also deals with information about users who manage the platform. Applications that run on the platform might introduce other categories of personal data that are unknown to the platform.

This appendix includes details on data that is logged by the platform services.

1.6. FIPS readiness

FIPS readiness has been completed for Red Hat Advanced Cluster Management for Kubernetes. Red Hat Advanced Cluster Management uses the same tools to make sure cryptography calls are passed to the Red Hat Enterprise Linux (RHEL) certified cryptographic modules that are used by Red Hat OpenShift Container Platform. For more details on OpenShift FIPS support see, Support for FIPS cryptography.

1.6.1. Limitations

Read the following limitations with Red Hat Advanced Cluster Management and FIPS.

  • Red Hat OpenShift Container Platform does not support FIPS on the IBM Power (ppc64le) and IBM Z (s390x) architectures.
  • The following Technology preview components are not FIPS ready:

    • Hub cluster backup and restore
    • Infrastructure Operator for Red Hat OpenShift
    • Submariner
    • VolSync
  • Persistent Volume Claim (PVC) and S3 storage that is used by the search and observability components must be encrypted when you configure the provided storage. Red Hat Advanced Cluster Management does not provide storage encryption, see the OpenShift Container Platform documentation, Support for FIPS cryptography.
  • When you provision managed clusters from Red Hat Advanced Cluster Management, you must set fips: true in the install-config.yaml file before you deploy the new managed cluster.

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