Chapter 1. Troubleshooting

Before using the Troubleshooting guide, you can run the oc adm must-gather command to gather details, logs, and take steps in debugging issues. For more details, see Running the must-gather command to troubleshoot.

Additionally, check your role-based access. See Role-based access control for details.

1.1. Documented troubleshooting

View the list of troubleshooting topics for Red Hat Advanced Cluster Management for Kubernetes:

Installation

To get to the original installing tasks, view Installing.

Cluster management

To get to the original cluster management tasks, view Managing your clusters.

Application management

To get to the original application management, view Managing applications.

Governance

To get to the original security guide, view Risk and compliance.

Console observability

Console observability includes Search and the Visual Web Terminal, along with header and navigation function. To get to the original observability guide, view Observability in the console.

1.2. Running the must-gather command to troubleshoot

To get started with troubleshooting, learn about the troubleshooting scenarios for users to run the must-gather command to debug the issues, then see the procedures to start using the command.

Required access: Cluster administrator

1.2.1. Must-gather scenarios

  • Scenario one: Use the Documented troubleshooting section to see if a solution to your problem is documented. The guide is organized by the major functions of the product.

    With this scenario, you check the guide to see if your solution is in the documentation. For instance, for trouble with creating a cluster, you might find a solution in the Manage cluster section.

  • Scenario two: If your problem is not documented with steps to resolve, run the must-gather command and use the output to debug the issue.
  • Scenario three: If you cannot debug the issue using your output from the must-gather command, then share your output with Red Hat Support.

1.2.2. Must-gather procedure

See the following procedure to start using the must-gather command:

  1. Learn about the must-gather command and install the prerequisites that you need at Gathering data about your cluster in the Red Hat OpenShift Container Platform documentation.
  2. Log in to your cluster. For the usual use-case, you should run the must-gather while you are logged into your hub cluster.

    Note: If you want to check your managed clusters, find the gather-managed.log file that is located in the the cluster-scoped-resources directory:

    <your-directory>/cluster-scoped-resources/gather-managed.log>

    Check for managed clusters that are not set True for the JOINED and AVAILABLE column. You can run the must-gather command on those clusters that are not connected with True status.

  3. Add the Red Hat Advanced Cluster Management for Kubernetes image that is used for gathering data and the directory. Run the following command, where you insert the image and the directory for the output:

    oc adm must-gather --image=registry.redhat.io/rhacm2/acm-must-gather-rhel8:v2.2.0 --dest-dir=<directory>
  4. Go to your specified directory to see your output, which is organized in the following levels:

    • Two peer levels: cluster-scoped-resources and namespace resources.
    • Sub-level for each: API group for the custom resource definitions for both cluster-scope and namespace-scoped resources.
    • Next level for each: YAML file sorted by kind.

1.2.3. Must-gather in a disconnected environment

Complete the following steps to run the must-gather command in a disconnected environment:

  1. In a disconnected environment, mirror the Red Hat operator catalog images into their mirror registry. For more information, see Install on disconnected networks.
  2. Run the following command to extract logs, which reference the image from their mirror registry:
REGISTRY=registry.example.com:5000
IMAGE=$REGISTRY/rhacm2/acm-must-gather-rhel8@sha256:ff9f37eb400dc1f7d07a9b6f2da9064992934b69847d17f59e385783c071b9d8

oc adm must-gather --image=$IMAGE --dest-dir=./data

1.3. Troubleshooting reinstallation failure

When reinstalling Red Hat Advanced Cluster Management for Kubernetes, the pods do not start.

1.3.1. Symptom: Reinstallation failure

If your pods do not start after you install Red Hat Advanced Cluster Management, it is likely that Red Hat Advanced Cluster Management was previously installed, and not all of the pieces were removed before you attempted this installation.

In this case, the pods do not start after completing the installation process.

1.3.2. Resolving the problem: Reinstallation failure

If you have this problem, complete the following steps:

  1. Run the uninstallation process to remove the current components by following the steps in Uninstalling.
  2. Install the Helm CLI binary version 3.2.0, or later, by following the instructions at Installing Helm.
  3. Ensure that your Red Hat OpenShift Container Platform CLI is configured to run oc commands. See Getting started with the OpenShift CLI in the OpenShift Container Platform documentation for more information about how to configure the oc commands.
  4. Copy the following script into a file:

    #!/bin/bash
    ACM_NAMESPACE=<namespace>
    oc delete mch --all -n $ACM_NAMESPACE
    helm ls --namespace $ACM_NAMESPACE | cut -f 1 | tail -n +2 | xargs -n 1 helm delete --namespace $ACM_NAMESPACE
    oc delete apiservice v1beta1.webhook.certmanager.k8s.io v1.admission.cluster.open-cluster-management.io v1.admission.work.open-cluster-management.io
    oc delete clusterimageset --all
    oc delete configmap -n $ACM_NAMESPACE cert-manager-controller cert-manager-cainjector-leader-election cert-manager-cainjector-leader-election-core
    oc delete consolelink acm-console-link
    oc delete crd klusterletaddonconfigs.agent.open-cluster-management.io placementbindings.policy.open-cluster-management.io policies.policy.open-cluster-management.io userpreferences.console.open-cluster-management.io searchservices.search.acm.com
    oc delete mutatingwebhookconfiguration cert-manager-webhook cert-manager-webhook-v1alpha1 ocm-mutating-webhook managedclustermutators.admission.cluster.open-cluster-management.io
    oc delete oauthclient multicloudingress
    oc delete rolebinding -n kube-system cert-manager-webhook-webhook-authentication-reader
    oc delete scc kui-proxy-scc
    oc delete validatingwebhookconfiguration cert-manager-webhook cert-manager-webhook-v1alpha1 channels.apps.open.cluster.management.webhook.validator application-webhook-validator multiclusterhub-operator-validating-webhook ocm-validating-webhook

    Replace <namespace> in the script with the name of the namespace where Red Hat Advanced Cluster Management was installed. Ensure that you specify the correct namespace, as the namespace is cleaned out and deleted.

  5. Run the script to remove the artifacts from the previous installation.
  6. Run the installation. See Installing while connected online.

1.4. Troubleshooting an offline cluster

There are a few common causes for a cluster showing an offline status.

1.4.1. Symptom: Cluster status is offline

After you complete the procedure for creating a cluster, you cannot access it from the Red Hat Advanced Cluster Management console, and it shows a status of offline.

1.4.2. Resolving the problem: Cluster status is offline

  1. Determine if the managed cluster is available. You can check this in the Clusters area of the Red Hat Advanced Cluster Management console.

    If it is not available, try restarting the managed cluster.

  2. If the managed cluster status is still offline, complete the following steps:

    1. Run the oc get managedcluster <cluster_name> -o yaml command on the hub cluster. Replace <cluster_name> with the name of your cluster.
    2. Find the status.conditions section.
    3. Check the messages for type: ManagedClusterConditionAvailable and resolve any problems.

1.5. Troubleshooting cluster with pending import status

If you receive Pending import continually on the console of your cluster, follow the procedure to troubleshoot the problem.

1.5.1. Symptom: Cluster with pending import status

After importing a cluster by using the Red Hat Advanced Cluster Management console, the cluster appears in the console with a status of Pending import.

1.5.2. Identifying the problem: Cluster with pending import status

  1. Run the following command on the managed cluster to view the Kubernetes pod names that are having the issue:

    kubectl get pod -n open-cluster-management-agent | grep klusterlet-registration-agent
  2. Run the following command on the managed cluster to find the log entry for the error:

    kubectl logs <registration_agent_pod> -n open-cluster-management-agent

    Replace registration_agent_pod with the pod name that you identified in step 1.

  3. Search the returned results for text that indicates there was a networking connectivity problem. Example includes: no such host.

1.5.3. Resolving the problem: Cluster with pending import status

  1. Retrieve the port number that is having the problem by entering the following command on the hub cluster:

    oc get infrastructure cluster -o yaml | grep apiServerURL
  2. Ensure that the hostname from the managed cluster can be resolved, and that outbound connectivity to the host and port is occurring.

    If the communication cannot be established by the managed cluster, the cluster import is not complete. The cluster status for the managed cluster is Pending import.

1.6. Troubleshooting cluster creation on VMware vSphere

If you experience a problem when creating a Red Hat OpenShift Container Platform cluster on VMware vSphere, see the following troubleshooting information to see if one of them addresses your problem.

Note: Sometimes when the cluster creation process fails on VMware vSphere, the link is not enabled for you to view the logs. If this happens, you can identify the problem by viewing the log of the hive-controllers pod. The hive-controllers log is in the hive namespace.

1.6.1. Managed cluster creation fails with certificate IP SAN error

1.6.1.1. Symptom: Managed cluster creation fails with certificate IP SAN error

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails with an error message that indicates a certificate IP SAN error.

1.6.1.2. Identifying the problem: Managed cluster creation fails with certificate IP SAN error

The deployment of the managed cluster fails and returns the following errors in the deployment log:

time="2020-08-07T15:27:55Z" level=error msg="Error: error setting up new vSphere SOAP client: Post https://147.1.1.1/sdk: x509: cannot validate certificate for xx.xx.xx.xx because it doesn't contain any IP SANs"
time="2020-08-07T15:27:55Z" level=error

1.6.1.3. Resolving the problem: Managed cluster creation fails with certificate IP SAN error

Use the VMware vCenter server fully-qualified host name instead of the IP address in the credential. You can also update the VMware vCenter CA certificate to contain the IP SAN.

1.6.2. Managed cluster creation fails with unknown certificate authority

1.6.2.1. Symptom: Managed cluster creation fails with unknown certificate authority

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because the certificate is signed by an unknown authority.

1.6.2.2. Identifying the problem: Managed cluster creation fails with unknown certificate authority

The deployment of the managed cluster fails and returns the following errors in the deployment log:

Error: error setting up new vSphere SOAP client: Post https://vspherehost.com/sdk: x509: certificate signed by unknown authority"

1.6.2.3. Resolving the problem: Managed cluster creation fails with unknown certificate authority

Ensure you entered the correct certificate from the certificate authority when creating the credential.

1.6.3. Managed cluster creation fails with expired certificate

1.6.3.1. Symptom: Managed cluster creation fails with expired certificate

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because the certificate is expired or is not yet valid.

1.6.3.2. Identifying the problem: Managed cluster creation fails with expired certificate

The deployment of the managed cluster fails and returns the following errors in the deployment log:

x509: certificate has expired or is not yet valid

1.6.3.3. Resolving the problem: Managed cluster creation fails with expired certificate

Ensure that the time on your ESXi hosts is synchronized.

1.6.4. Managed cluster creation fails with insufficient privilege for tagging

1.6.4.1. Symptom: Managed cluster creation fails with insufficient privilege for tagging

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because there is insufficient privilege to use tagging.

1.6.4.2. Identifying the problem: Managed cluster creation fails with insufficient privilege for tagging

The deployment of the managed cluster fails and returns the following errors in the deployment log:

time="2020-08-07T19:41:58Z" level=debug msg="vsphere_tag_category.category: Creating..."
time="2020-08-07T19:41:58Z" level=error
time="2020-08-07T19:41:58Z" level=error msg="Error: could not create category: POST https://vspherehost.com/rest/com/vmware/cis/tagging/category: 403 Forbidden"
time="2020-08-07T19:41:58Z" level=error
time="2020-08-07T19:41:58Z" level=error msg="  on ../tmp/openshift-install-436877649/main.tf line 54, in resource \"vsphere_tag_category\" \"category\":"
time="2020-08-07T19:41:58Z" level=error msg="  54: resource \"vsphere_tag_category\" \"category\" {"

1.6.4.3. Resolving the problem: Managed cluster creation fails with insufficient privilege for tagging

Ensure that your VMware vCenter required account privileges are correct. See Image registry removed during information for more information.

1.6.5. Managed cluster creation fails with invalid dnsVIP

1.6.5.1. Symptom: Managed cluster creation fails with invalid dnsVIP

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because there is an invalid dnsVIP.

1.6.5.2. Identifying the problem: Managed cluster creation fails with invalid dnsVIP

If you see the following message when trying to deploy a new managed cluster with VMware vSphere, it is because you have an older OpenShift Container Platform release image that does not support VMware Installer Provisioned Infrastructure (IPI):

failed to fetch Master Machines: failed to load asset \\\"Install Config\\\": invalid \\\"install-config.yaml\\\" file: platform.vsphere.dnsVIP: Invalid value: \\\"\\\": \\\"\\\" is not a valid IP

1.6.5.3. Resolving the problem: Managed cluster creation fails with invalid dnsVIP

Select a release image from a later version of OpenShift Container Platform that supports VMware Installer Provisioned Infrastructure.

1.6.6. Managed cluster creation fails with incorrect network type

1.6.6.1. Symptom: Managed cluster creation fails with incorrect network type

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because there is an incorrect network type specified.

1.6.6.2. Identifying the problem: Managed cluster creation fails with incorrect network type

If you see the following message when trying to deploy a new managed cluster with VMware vSphere, it is because you have an older OpenShift Container Platform image that does not support VMware Installer Provisioned Infrastructure (IPI):

time="2020-08-11T14:31:38-04:00" level=debug msg="vsphereprivate_import_ova.import: Creating..."
time="2020-08-11T14:31:39-04:00" level=error
time="2020-08-11T14:31:39-04:00" level=error msg="Error: rpc error: code = Unavailable desc = transport is closing"
time="2020-08-11T14:31:39-04:00" level=error
time="2020-08-11T14:31:39-04:00" level=error
time="2020-08-11T14:31:39-04:00" level=fatal msg="failed to fetch Cluster: failed to generate asset \"Cluster\": failed to create cluster: failed to apply Terraform: failed to complete the change"

1.6.6.3. Resolving the problem: Managed cluster creation fails with incorrect network type

Select a valid VMware vSphere network type for the specified VMware cluster.

1.6.7. Managed cluster creation fails with an error processing disk changes

1.6.7.1. Symptom: Adding the VMware vSphere managed cluster fails due to an error processing disk changes

After creating a new Red Hat OpenShift Container Platform cluster on VMware vSphere, the cluster fails because there is an error when processing disk changes.

1.6.7.2. Identifying the problem: Adding the VMware vSphere managed cluster fails due to an error processing disk changes

A message similar to the following is displayed in the logs:

ERROR
ERROR Error: error reconfiguring virtual machine: error processing disk changes post-clone: disk.0: ServerFaultCode: NoPermission: RESOURCE (vm-71:2000), ACTION (queryAssociatedProfile): RESOURCE (vm-71), ACTION (PolicyIDByVirtualDisk)

1.6.7.3. Resolving the problem: Adding the VMware vSphere managed cluster fails due to an error processing disk changes

Use the VMware vSphere client to give the user All privileges for Profile-driven Storage Privileges.

1.7. Troubleshooting OpenShift Container Platform version 3.11 cluster import failure

1.7.1. Symptom: OpenShift Container Platform version 3.11 cluster import failure

After you attempt to import a Red Hat OpenShift Container Platform version 3.11 cluster, the import fails with a log message that resembles the following content:

customresourcedefinition.apiextensions.k8s.io/klusterlets.operator.open-cluster-management.io configured
clusterrole.rbac.authorization.k8s.io/klusterlet configured
clusterrole.rbac.authorization.k8s.io/open-cluster-management:klusterlet-admin-aggregate-clusterrole configured
clusterrolebinding.rbac.authorization.k8s.io/klusterlet configured
namespace/open-cluster-management-agent configured
secret/open-cluster-management-image-pull-credentials unchanged
serviceaccount/klusterlet configured
deployment.apps/klusterlet unchanged
klusterlet.operator.open-cluster-management.io/klusterlet configured
Error from server (BadRequest): error when creating "STDIN": Secret in version "v1" cannot be handled as a Secret:
v1.Secret.ObjectMeta:
v1.ObjectMeta.TypeMeta: Kind: Data: decode base64: illegal base64 data at input byte 1313, error found in #10 byte of ...|dhruy45="},"kind":"|..., bigger context ...|tye56u56u568yuo7i67i67i67o556574i"},"kind":"Secret","metadata":{"annotations":{"kube|...

1.7.2. Identifying the problem: OpenShift Container Platform version 3.11 cluster import failure

This often occurs because the installed version of the kubectl command-line tool is 1.11, or earlier. Run the following command to see which version of the kubectl command-line tool you are running:

kubectl version

If the returned data lists version 1.11, or earlier, complete one of the fixes in Resolving the problem: OpenShift Container Platform version 3.11 cluster import failure.

1.7.3. Resolving the problem: OpenShift Container Platform version 3.11 cluster import failure

You can resolve this issue by completing one of the following procedures:

  • Install the latest version of the kubectl command-line tool.

    1. Download the latest version of the kubectl tool from: Install and Set Up kubectl in the Kubernetes documentation.
    2. Import the cluster again after upgrading your kubectl tool.
  • Run a file that contains the import command.

    1. Start the procedure in Importing a managed cluster with the CLI.
    2. When you create the command to import your cluster, copy that command into a YAML file named import.yaml.
    3. Run the following command to import the cluster again from the file:

      oc apply -f import.yaml

1.8. Troubleshooting imported clusters offline after certificate change

Installing a custom apiserver certificate is supported, but one or more clusters that were imported before you changed the certificate information can have an offline status.

1.8.1. Symptom: Clusters offline after certificate change

After you complete the procedure for updating a certificate secret, one or more of your clusters that were online are now displaying an offline status in the Red Hat Advanced Cluster Management for Kubernetes console.

1.8.2. Identifying the problem: Clusters offline after certificate change

After updating the information for a custom API server certificate, clusters that were imported and running before the new certificate are now in an offline state.

The errors that indicate that the certificate is the problem are found in the logs for the pods in the open-cluster-management-agent namespace of the offline managed cluster. The following examples are similar to the errors that are displayed in the logs:

Log of work-agent:

E0917 03:04:05.874759       1 manifestwork_controller.go:179] Reconcile work test-1-klusterlet-addon-workmgr fails with err: Failed to update work status with err Get "https://api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/namespaces/test-1/manifestworks/test-1-klusterlet-addon-workmgr": x509: certificate signed by unknown authority
E0917 03:04:05.874887       1 base_controller.go:231] "ManifestWorkAgent" controller failed to sync "test-1-klusterlet-addon-workmgr", err: Failed to update work status with err Get "api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/namespaces/test-1/manifestworks/test-1-klusterlet-addon-workmgr": x509: certificate signed by unknown authority
E0917 03:04:37.245859       1 reflector.go:127] k8s.io/client-go@v0.19.0/tools/cache/reflector.go:156: Failed to watch *v1.ManifestWork: failed to list *v1.ManifestWork: Get "api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/namespaces/test-1/manifestworks?resourceVersion=607424": x509: certificate signed by unknown authority

Log of registration-agent:

I0917 02:27:41.525026       1 event.go:282] Event(v1.ObjectReference{Kind:"Namespace", Namespace:"open-cluster-management-agent", Name:"open-cluster-management-agent", UID:"", APIVersion:"v1", ResourceVersion:"", FieldPath:""}): type: 'Normal' reason: 'ManagedClusterAvailableConditionUpdated' update managed cluster "test-1" available condition to "True", due to "Managed cluster is available"
E0917 02:58:26.315984       1 reflector.go:127] k8s.io/client-go@v0.19.0/tools/cache/reflector.go:156: Failed to watch *v1beta1.CertificateSigningRequest: Get "https://api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/managedclusters?allowWatchBookmarks=true&fieldSelector=metadata.name%3Dtest-1&resourceVersion=607408&timeout=9m33s&timeoutSeconds=573&watch=true"": x509: certificate signed by unknown authority
E0917 02:58:26.598343       1 reflector.go:127] k8s.io/client-go@v0.19.0/tools/cache/reflector.go:156: Failed to watch *v1.ManagedCluster: Get "https://api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/managedclusters?allowWatchBookmarks=true&fieldSelector=metadata.name%3Dtest-1&resourceVersion=607408&timeout=9m33s&timeoutSeconds=573&watch=true": x509: certificate signed by unknown authority
E0917 02:58:27.613963       1 reflector.go:127] k8s.io/client-go@v0.19.0/tools/cache/reflector.go:156: Failed to watch *v1.ManagedCluster: failed to list *v1.ManagedCluster: Get "https://api.aaa-ocp.dev02.location.com:6443/apis/cluster.management.io/v1/managedclusters?allowWatchBookmarks=true&fieldSelector=metadata.name%3Dtest-1&resourceVersion=607408&timeout=9m33s&timeoutSeconds=573&watch=true"": x509: certificate signed by unknown authority

1.8.3. Resolving the problem: Clusters offline after certificate change

To manually restore your clusters after updating your certificate information, complete the following steps for each managed cluster:

  1. Manually import the cluster again. Red Hat OpenShift Container Platform clusters that were created from Red Hat Advanced Cluster Management will resynchronize every 2 hours, so you can skip this step for those clusters.

    1. On the hub cluster, display the import command by entering the following command:

      oc get secret -n ${CLUSTER_NAME} ${CLUSTER_NAME}-import -ojsonpath='{.data.import\.yaml}' | base64 --decode  > import.yaml

      Replace CLUSTER_NAME with the name of the managed cluster that you are importing.

    2. On the managed cluster, apply the import.yaml file:

      oc apply -f import.yaml

1.9. Namespace remains after deleting a cluster

When you remove a managed cluster, the namespace is normally removed as part of the cluster removal process. In rare cases, the namespace remains with some artifacts in it. In that case, you must manually remove the namespace.

1.9.1. Symptom: Namespace remains after deleting a cluster

After removing a managed cluster, the namespace is not removed.

1.9.2. Resolving the problem: Namespace remains after deleting a cluster

Complete the following steps to remove the namespace manually:

  1. Run the following command to produce a list of the resources that remain in the <cluster_name> namespace:

    oc api-resources --verbs=list --namespaced -o name | grep -E '^secrets|^serviceaccounts|^managedclusteraddons|^roles|^rolebindings|^manifestworks|^leases|^managedclusterinfo|^appliedmanifestworks' | xargs -n 1 oc get --show-kind --ignore-not-found -n <cluster_name>

    Replace cluster_name with the name of the namespace for the cluster that you attempted to remove.

  2. Delete each identified resource on the list that does not have a status of Delete by entering the following command to edit the list:

    oc edit <resource_kind> <resource_name> -n <namespace>

    Replace resource_kind with the kind of the resource. Replace resource_name with the name of the resource. Replace namespace with the name of the namespace of the resource.

  3. Locate the finalizer attribute in the in the metadata.
  4. Delete the non-Kubernetes finalizers by using the vi editor dd command.
  5. Save the list and exit the vi editor by entering the :wq command.
  6. Delete the namespace by entering the following command:

    oc delete ns <cluster-name>

    Replace cluster-name with the name of the namespace that you are trying to delete.

1.10. Auto-import-secret-exists error when importing a cluster

Your cluster import fails with an error message that reads: auto import secret exists.

1.10.1. Symptom: Auto import secret exists error when importing a cluster

When importing a hive cluster for management, an auto-import-secret already exists error is displayed.

1.10.2. Resolving the problem: Auto-import-secret-exists error when importing a cluster

This problem occurs when you attempt to import a cluster that was previously managed by Red Hat Advanced Cluster Management. When this happens, the secrets conflict when you try to reimport the cluster.

To work around this problem, complete the following steps:

  1. To manually delete the existing auto-import-secret, run the following command on the hub cluster:

    oc delete secret auto-import-secret -n <cluster-namespace>

    Replace cluster-namespace with the namespace of your cluster.

  2. Import your cluster again using the procedure in Importing a target managed cluster to a hub cluster.

Your cluster is imported.

1.11. Troubleshooting cluster status changing from offline to available

The status of the managed cluster alternates between offline and available without any manual change to the environment or cluster.

1.11.1. Symptom: Cluster status changing from offline to available

When the network that connects the managed cluster to the hub cluster is unstable, the status of the managed cluster that is reported by the hub cluster cycles between offline and available.

1.11.2. Resolving the problem: Cluster status changing from offline to available

To attempt to resolve this issue, complete the following steps:

  1. Edit your ManagedCluster specification on the hub cluster by entering the following command:

    oc edit managedcluster <cluster-name>

    Replace cluster-name with the name of your managed cluster.

  2. Increase the value of leaseDurationSeconds in your ManagedCluster specification. The default value is 5 minutes, but that might not be enough time to maintain the connection with the network issues. Specify a greater amount of time for the lease. For example, you can raise the setting to 20 minutes.

1.12. Troubleshooting cluster in console with pending or failed status

If you observe Pending status or Failed status in the console for a cluster you created, follow the procedure to troubleshoot the problem.

1.12.1. Symptom: Cluster in console with pending or failed status

After creating a new cluster by using the Red Hat Advanced Cluster Management for Kubernetes console, the cluster does not progress beyond the status of Pending or displays Failed status.

1.12.2. Identifying the problem: Cluster in console with pending or failed status

If the cluster displays Failed status, navigate to the details page for the cluster and follow the link to the logs provided. If no logs are found or the cluster displays Pending status, continue with the following procedure to check for logs:

  • Procedure 1

    1. Run the following command on the hub cluster to view the names of the Kubernetes pods that were created in the namespace for the new cluster:

      oc get pod -n <new_cluster_name>

      Replace new_cluster_name with the name of the cluster that you created.

    2. If no pod that contains the string provision in the name is listed, continue with Procedure 2. If there is a pod with provision in the title, run the following command on the hub cluster to view the logs of that pod:

      oc logs <new_cluster_name_provision_pod_name> -n <new_cluster_name> -c hive

      Replace new_cluster_name_provision_pod_name with the name of the cluster that you created, followed by the pod name that contains provision.

    3. Search for errors in the logs that might explain the cause of the problem.
  • Procedure 2

    If there is not a pod with provision in its name, the problem occurred earlier in the process. Complete the following procedure to view the logs:

    1. Run the following command on the hub cluster:

      oc describe clusterdeployments -n <new_cluster_name>

      Replace new_cluster_name with the name of the cluster that you created. For more information about cluster installation logs, see Gathering installation logs in the Red Hat OpenShift documentation.

    2. See if there is additional information about the problem in the Status.Conditions.Message and Status.Conditions.Reason entries of the resource.

1.12.3. Resolving the problem: Cluster in console with pending or failed status

After you identify the errors in the logs, determine how to resolve the errors before you destroy the cluster and create it again.

The following example provides a possible log error of selecting an unsupported zone, and the actions that are required to resolve it:

No subnets provided for zones

When you created your cluster, you selected one or more zones within a region that are not supported. Complete one of the following actions when you recreate your cluster to resolve the issue:

  • Select a different zone within the region.
  • Omit the zone that does not provide the support, if you have other zones listed.
  • Select a different region for your cluster.

After determining the issues from the log, destroy the cluster and recreate it.

See Creating a cluster for more information about creating a cluster.

1.13. Troubleshooting application Git server connection

Logs from the open-cluster-management namespace display failure to clone the Git repository.

1.13.1. Symptom: Git server connection

The logs from the subscription controller pod multicluster-operators-hub-subscription-<random-characters> in the open-cluster-management namespace indicates that it fails to clone the Git repository. You receive a x509: certificate signed by unknown authority error, or BadGateway error.

1.13.2. Resolving the problem: Git server connection

Important: Upgrade if you are on a previous version.

  1. Save apps.open-cluster-management.io_channels_crd.yaml as the same file name.
  2. On the Red Hat Advanced Cluster Management cluster, run the following command to apply the file:

    oc apply -f apps.open-cluster-management.io_channels_crd.yaml
  3. In the open-cluster-management namespace, edit the advanced-cluster-management.v2.2.0 CSV, run the following command and edit:

    oc edit csv advanced-cluster-management.v2.2.0 -n open-cluster-management

    Find the following containers:

    • multicluster-operators-standalone-subscription
    • multicluster-operators-hub-subscription

      Replace the container images with the following:

      quay.io/open-cluster-management/multicluster-operators-subscription:2.2-PR337-91af6cb37d427d22160b2c055589a4418dada4eb

    The update recreates the following pods in the open-cluster-management namespace:

    • multicluster-operators-standalone-subscription-<random-characters>
    • multicluster-operators-hub-subscription-<random-characters>
  4. Check that the new pods are running with the new docker image. Run the following command, then find the new docker image:
oc get pod multicluster-operators-standalone-subscription-<random-characters> -n open-cluster-management -o yaml
oc get pod multicluster-operators-hub-subscription-<random-characters> -n open-cluster-management -o yaml
  1. Update the images on managed clusters.

    On the hub cluster, run the following command by replacing CLUSTER_NAME with the actual managed cluster name:

    oc annotate klusterletaddonconfig -n CLUSTER_NAME CLUSTER_NAME klusterletaddonconfig-pause=true --overwrite=true
  2. Run the following command, replacing CLUSTER_NAME with the actual managed cluster name:

    oc edit manifestwork -n CLUSTER_NAME  CLUSTER_NAME-klusterlet-addon-appmgr
  3. Find spec.global.imageOverrides.multicluster_operators_subscription and set the value to:

    quay.io/open-cluster-management/multicluster-operators-subscription:2.2-PR337-91af6cb37d427d22160b2c055589a4418dada4eb

    This recreates the klusterlet-addon-appmgr-<random-characters> pod in open-cluster-management-agent-addon namespace on the managed cluster.

  4. Check that the new pod is running with the new docker image.
  5. When you create an application through the console or the CLI, add `insecureSkipVerify: true' in the channel spec manually. See the following example:

    apiVersion: apps.open-cluster-management.io/v1
    kind: Channel
    metadata:
    labels:
      name: sample-channel
      namespace: sample
    spec:
      type: GitHub
      pathname: <Git URL>
      insecureSkipVerify: true

1.14. Troubleshooting Grafana

When you query some time-consuming metrics in the Grafana explorer, you might encounter a Gateway Time-out error.

1.14.1. Symptom: Grafana explorer gateway timeout

If you hit the Gateway Time-out error when you query some time-consuming metrics in the Grafana explorer, it is possible that the timeout is caused by the multicloud-console route in the open-cluster-management namespace.

1.14.2. Resolving the problem: Configure the multicloud-console route

If you have this problem, complete the following steps:

  1. Verify that the default configuration of Grafana has expected timeout settings:

    1. To verify that the default timeout setting of Grafana, run the following command:

      oc get secret grafana-config -n open-cluster-management-observability -o jsonpath="{.data.grafana\.ini}" | base64 -d | grep dataproxy -A 4

      The following timeout settings should be displayed:

      [dataproxy]
      timeout = 300
      dial_timeout = 30
      keep_alive_seconds = 300
    2. To verify the default data source query timeout for Grafana, run the following command:

      oc get secret/grafana-datasources -n open-cluster-management-observability -o jsonpath="{.data.datasources\.yaml}" | base64 -d | grep queryTimeout

      The following timeout settings should be displayed:

      queryTimeout: 300s
  2. If you verified the default configuration of Grafana has expected timeout settings, then you can configure the multicloud-console route in the open-cluster-management namespace by running the following command:

    oc annotate route multicloud-console -n open-cluster-management --overwrite haproxy.router.openshift.io/timeout=300s

Refresh the Grafana page and try to query the metrics again. The Gateway Time-out error is no longer displayed.

1.15. Troubleshooting local cluster not selected with placement rule

The managed clusters are selected with a placement rule, but the local-cluster (hub cluster that is also managed) is not selected. The placement rule user is not granted to permission to create deployable resources in the local-cluster namespace.

1.15.1. Symptom: Troubleshooting local cluster not selected

All managed clusters are selected with a placement rule, but the local-cluster is not. The placement rule user is not granted permission to create the deployable resources in the local-cluster namespace.

1.15.2. Resolving the problem: Troubleshooting local cluster not selected

To resolve this issue, you need to grant the deployable administrative permission in the local-cluster namespace. Complete the following steps:

  1. Confirm that the list of managed clusters does include local-cluster, and that the placement rule decisions list does not display the local cluster. Run the following command and view the results:

    % oc get managedclusters
    NAME            HUB ACCEPTED   MANAGED CLUSTER URLS   JOINED   AVAILABLE   AGE
    local-cluster   true                                  True     True        56d
    cluster1        true                                  True     True        16h
    apiVersion: apps.open-cluster-management.io/v1
    kind: PlacementRule
    metadata:
      name: all-ready-clusters
      namespace: default
    spec:
      clusterSelector: {}
    status:
      decisions:
      - clusterName: cluster1
        clusterNamespace: cluster1
  2. Create a Role in your .yaml file to grant the deployable administrative permission in the local-cluster namespace. See the following example:

    apiVersion: rbac.authorization.k8s.io/v1
    kind: Role
    metadata:
      name: deployables-admin-user-zisis
      namespace: local-cluster
    rules:
    - apiGroups:
      - apps.open-cluster-management.io
      resources:
      - deployables
      verbs:
      - '*'
  3. Create a RoleBinding resource to grant the placement rule user access to the local-cluster namespace. See the following example:

    apiVersion: rbac.authorization.k8s.io/v1
    kind: RoleBinding
    metadata:
      name: deployables-admin-user-zisis
      namespace: local-cluster
    roleRef:
      apiGroup: rbac.authorization.k8s.io
      kind: Role
      name: deployables-admin-user-zisis
      namespace: local-cluster
    subjects:
    - kind: User
      name: zisis
      apiGroup: rbac.authorization.k8s.io

1.16. Troubleshooting application Kubernetes deployment version

A managed cluster with a deprecated Kubernetes apiVersion might not be supported. See the Kubernetes issue for more details about the deprecated API version.

1.16.1. Symptom: Application deployment version

If one or more of your application resources in the Subscription YAML file uses the deprecated API, you might receive an error similar to the following error:

failed to install release: unable to build kubernetes objects from release manifest: unable to recognize "": no matches for
kind "Deployment" in version "extensions/v1beta1"

Or with new Kubernetes API version in your YAML file named old.yaml for instance, you might receive the following error:

error: unable to recognize "old.yaml": no matches for kind "Deployment" in version "deployment/v1beta1"

1.16.2. Resolving the problem: Application deployment version

  1. Update the apiVersion in the resource. For example, if the error displays for Deployment kind in the subscription YAML file, you need to update the apiVersion from extensions/v1beta1 to apps/v1.

    See the following example:

    apiVersion: apps/v1
    kind: Deployment
  2. Verify the available versions by running the following command on the managed cluster:

    kubectl explain <resource>
  3. Check for VERSION.

1.17. Troubleshooting standalone subscription memory

The multicluster-operators-standalone-subscription pod restarts regularly because of a memory issue.

1.17.1. Symptom: Standalone subscription memory

When Operator Lifecycle Manager (OLM) deploys all operators, not only the multicluster-subscription-operator, the multicluster-operators-standalone-subscription pod restarts because not enough memory is allocated to the standalone subscription container.

The memory limit of the multicluster-operators-standalone-subscription pod was increased to 2GB in the multicluster subscription community operator CSV, but this resource limit setting is ignored by OLM.

1.17.2. Resolving the problem: Standalone subscription memory

  1. After installation, find the operator subscription CR that subscribes the multicluster subscription community operator. Run the following command:

    % oc get sub -n open-cluster-management acm-operator-subscription
  2. Edit the operator subscription custom resource by appending the spec.config.resources .yaml file to define resource limits.

    Note: Do not create a new operator subscription custom resource that subscribes the same multicluster subscription community operator. Because two operator subscriptions are linked to one operator, the operator pods are "killed" and restarted by the two operator subscription custom resources.

    See the following updated .yaml file example:

    apiVersion: operators.coreos.com/v1alpha1
    kind: Subscription
    metadata:
      name: multicluster-operators-subscription-alpha-community-operators-openshift-marketplace
      namespace: open-cluster-management
    spec:
      channel: release-2.2
      config:
        resources:
          limits:
            cpu: 750m
            memory: 2Gi
          requests:
            cpu: 150m
            memory: 128Mi
      installPlanApproval: Automatic
      name: multicluster-operators-subscription
      source: community-operators
      sourceNamespace: openshift-marketplace
  3. After the resource is saved, ensure that the standalone subscription pod is restarted with 2GB memory limit. Run the following command:

    % oc get pods -n open-cluster-management multicluster-operators-standalone-subscription-7c8cbf885f-c94kz -o yaml
    apiVersion: v1
    kind: Pod
    ...
    spec:
      containers:
      - image: quay.io/open-cluster-management/multicluster-operators-subscription:community-2.2
    ...
        resources:
          limits:
            cpu: 750m
            memory: 2Gi
          requests:
            cpu: 150m
            memory: 128Mi
    ...
    status:
      qosClass: Burstable

1.18. Troubleshooting Klusterlet with degraded conditions

The Klusterlet degraded conditions can help to diagnose the status of Klusterlet agents on managed cluster. If a Klusterlet is in the degraded condition, the Klusterlet agents on managed cluster might have errors that need to be troubleshooted. See the following information for Klusterlet degraded conditions that are set to True.

1.18.1. Symptom: Klusterlet is in the degraded condition

After deploying a Klusterlet on managed cluster, the KlusterletRegistrationDegraded or KlusterletWorkDegraded condition displays a status of True.

1.18.2. Identifying the problem: Klusterlet is in the degraded condition

  1. Run the following command on the managed cluster to view the Klusterlet status:

    kubectl get klusterlets klusterlet -oyaml
  2. Check KlusterletRegistrationDegraded or KlusterletWorkDegraded to see if the condition is set to True. Proceed to Resolving the problem for any degraded conditions that are listed.

1.18.3. Resolving the problem: Klusterlet is in the degraded condition

See the following list of degraded statuses and how you can attempt to resolve those issues:

  • If the KlusterletRegistrationDegraded condition with a status of True and the condition reason is: BootStrapSecretMissing, you need create a bootstrap secret on open-cluster-management-agent namespace.
  • If the KlusterletRegistrationDegraded condition displays True and the condition reason is a BootstrapSecretError, or BootstrapSecretUnauthorized, then the current bootstrap secret is invalid. Delete the current bootstrap secret and recreate a valid bootstrap secret on open-cluster-management-agent namespace.
  • If the KlusterletRegistrationDegraded and KlusterletWorkDegraded displays True and the condition reason is HubKubeConfigSecretMissing, delete the Klusterlet and recreate it.
  • If the KlusterletRegistrationDegraded and KlusterletWorkDegraded displays True and the condition reason is: ClusterNameMissing, KubeConfigMissing, HubConfigSecretError, or HubConfigSecretUnauthorized, delete the hub cluster kubeconfig secret from open-cluster-management-agent namespace. The registration agent will bootstrap again to get a new hub cluster kubecofnig secret.
  • If the KlusterletRegistrationDegraded displays True and the condition reason is GetRegistrationDeploymentFailed, or UnavailableRegistrationPod, you can check the condition message to get the problem details and attempt to resolve.
  • If the KlusterletWorkDegraded displays True and the condition reason is GetWorkDeploymentFailed ,or UnavailableWorkPod, you can check the condition message to get the problem details and attempt to resolve.

1.19. Troubleshooting Klusterlet application manager on managed clusters

When you upgrade from Red Hat Advanced Cluster Management for Kubernetes, the klusterlet-addon-appmgr pod on Red Hat OpenShift Container Platform managed clusters version 4.5 and 4.6 are OOMKilled.

1.19.1. Symptom: Klusterlet application manager on managed cluster

You receive an error for the klusterlet-addon-appmgr pod on Red Hat OpenShift Container Platform managed clusters version 4.5 and 4.6: OOMKilled.

1.19.2. Resolving the problem: Klusterlet application manager on managed cluster

For Red Hat Advanced Cluster Management for Kubernetes 2.1.x and 2.2, you need to manually increase the memory limit of the pod to 8Gb. See the following steps.

  1. On your hub cluster, annotate the klusterletaddonconfig to pause replication. See the following command:

    oc annotate klusterletaddonconfig -n ${CLUSTER_NAME} ${CLUSTER_NAME} klusterletaddonconfig-pause=true --  overwrite=true
  2. On your hub cluster, scale down the klusterlet-addon-operator. See the following command:

    oc edit manifestwork ${CLUSTER_NAME}-klusterlet-addon-operator -n ${CLUSTER_NAME}
  3. Find the klusterlet-addon-operator Deployment and add replicas: 0 to the spec to scale down.

    - apiVersion: apps/v1
      kind: Deployment
      metadata:
        labels:
          app: cluster1
        name: klusterlet-addon-operator
        namespace: open-cluster-management-agent-addon
        spec:
          replicas: 0

    On the managed cluster, the open-cluster-management-agent-addon/klusterlet-addon-operator pod will be terminated.

  4. Log in to the managed cluster to manually increase the memory limit in the appmgr pod.

    Run the following command:

    % oc edit deployments -n open-cluster-management-agent-addon klusterlet-addon-appmgr

    For example, if the limit is 5G, increase the limit to 8G.

    resources:
      limits:
        memory: 2Gi  -> 8Gi
      requests:
        memory: 128Mi -> 256Mi

1.20. Troubleshooting Object storage channel secret

If you change the SecretAccessKey, the subscription of an Object storage channel cannot pick up the updated secret automatically and you receive an error.

1.20.1. Symptom: Object storage channel secret

The subscription of an Object storage channel cannot pick up the updated secret automatically. This prevents the subscription operator from reconciliation and deploys resources from Object storage to the managed cluster.

1.20.2. Resolving the problem: Object storage channel secret

You need to manually input the credentials to create a secret, then refer to the secret within a channel.

  1. Annotate the subscription CR in order to generate a reconcile single to subscription operator. See the following data specification:

    apiVersion: apps.open-cluster-management.io/v1
    kind: Channel
    metadata:
      name: deva
      namespace: ch-obj
      labels:
        name: obj-sub
    spec:
      type: ObjectBucket
      pathname: http://ec2-100-26-232-156.compute-1.amazonaws.com:9000/deva
      sourceNamespaces:
        - default
      secretRef:
        name: dev
    ---
    apiVersion: v1
    kind: Secret
    metadata:
      name: dev
      namespace: ch-obj
      labels:
        name: obj-sub
    data:
      AccessKeyID: YWRtaW4=
      SecretAccessKey: cGFzc3dvcmRhZG1pbg==
  2. Run oc annotate to test:

    oc annotate appsub -n <subscription-namespace> <subscription-name> test=true

After you run the command, you can go to the Application console to verify that the resource is deployed to the managed cluster. Or you can log in to the managed cluster to see if the application resource is created at the given namespace.

1.21. Troubleshooting observability

After you install the observability component, the component might be stuck and an Installing status is displayed.

1.21.1. Symptom: MultiClusterObservability resource status stuck

If the observability status is stuck in an Installing status after you install and create the Observability custom resource definition (CRD), it is possible that there is no value defined for the spec:storageConfig:storageClass parameter. Alternatively, the observability component automatically finds the default storageClass, but if there is no value for the storage, the component remains stuck with the Installing status.

1.21.2. Resolving the problem: MultiClusterObservability resource status stuck

If you have this problem, complete the following steps:

  1. Verify that the observability components are installed:

    1. To verify that the multicluster-observability-operator, run the following command:

      kubectl get pods -n open-cluster-management|grep observability
    2. To verify that the appropriate CRDs are present, run the following command:

      kubectl get crd|grep observ

      The following CRDs must be displayed before you enable the component:

      multiclusterobservabilities.observability.open-cluster-management.io
      observabilityaddons.observability.open-cluster-management.io
      observatoria.core.observatorium.io
  2. If you create your own storageClass for a Bare Metal cluster, see How to create an NFS provisioner in the cluster or out of the cluster.
  3. To ensure that the observability component can find the default storageClass, update the storageClass parameter in the multicluster-observability-operator CRD. Your parameter might resemble the following value:
storageclass.kubernetes.io/is-default-class: "true"

The observability component status is updated to a Ready status when the installation is complete. If the installation fails to complete, the Fail status is displayed.

1.22. Troubleshooting OpenShift monitoring service

Observability service in a managed cluster needs to scrape metrics from the OpenShift Container Platform monitoring stack. The metrics-collector is not installed if the OpenShift Container Platform monitoring stack is not ready.

1.22.1. Symptom: OpenShift monitoring service is not ready

The endpoint-observability-operator-x pod checks if the prometheus-k8s service is available in the openshift-monitoring namespace. If the service is not present in the openshift-monitoring namespace, then the metrics-collector is not deployed. You might receive the following error message: Failed to get prometheus resource.

1.22.2. Resolving the problem: OpenShift monitoring service is not ready

If you have this problem, complete the following steps:

  1. Log in to your OpenShift Container Platform cluster.
  2. Access the openshift-monitoring namespace to verify that the prometheus-k8s service is available.
  3. Restart endpoint-observability-operator-x pod in the open-cluster-management-addon-observability namespace of the managed cluster.

1.23. Undesired label value in managedcluster resource

When you import a managed cluster, the observability components are installed by default. Your placement rule might resemble the following information:

status:
  decisions:
  - clusterName: sample-managed-cluster
    clusterNamespace: sample-managed-cluster

If the managed cluster is not included in the placement rule, the observability components are not installed.

1.23.1. Symptom: Undesired label value in managedcluster resource

If you find that the imported cluster is not included, the observability service for your managed cluster resource might be disabled.

Remember: When you enable the service, the vendor:OpenShift label is added to represent the target managed cluster. Observability service is only supported on OpenShift Container Platform managed cluster.

1.23.2. Resolving the problem: Undesired label value in managedcluster resource

If you have this problem, enable the observability service for the target managed cluster and update labels in the managedcluster resource.

Complete the following steps:

  1. Log in to your Red Hat Advanced Cluster Management cluster.
  2. Change the observability parameter value to enabled by updating the placement rule. Run the following command:

    oc edit placementrule -n open-cluster-management-observability
  3. Verify that OpenShift is listed as vendor for the target managed cluster by running the following command:

    oc get managedcluster <CLUSTER NAME> -o yaml

    Update the metadata.labels.vendor parameter value to OpenShift.

1.24. Troubleshooting search aggregator pod status

The search-aggregator fail to run.

1.24.1. Symptom 1: Search aggregator pod in Not Ready state

Search aggregator pods are in a Not Ready state if the redisgraph-user-secret is updated. You might receive the following error:

E0113 15:04:42.427931       1 pool.go:93] Error authenticating Redis client. Original error: ERR invalid password
W0113 15:04:42.428100       1 healthProbes.go:36] Unable to reach Redis.
E0113 15:04:44.265777       1 pool.go:93] Error authenticating Redis client. Original error: ERR invalid password
W0113 15:04:44.266003       1 healthProbes.go:36] Unable to reach Redis.
E0113 15:04:46.316869       1 pool.go:93] Error authenticating Redis client. Original error: ERR invalid password
W0113 15:04:46.317029       1 healthProbes.go:36] Unable to reach Redis.

1.24.2. Resolving the problem: Search aggregator pod in Not Ready state

If you have this problem, delete the search-aggregator and search-api pods to restart the pods. Run the following commands to delete the previously mentioned pods.

oc delete pod -n open-cluster-management <search-aggregator>

oc delete pod -n open-cluster-management <search-api>

1.24.3. Symptom 2: Search redisgraph pod in Pending state

The search-redisgraph pod fail to run when it is in Pending state.

1.24.4. Resolving the problem: Search redisgraph pod in Pending state

If you have this problem complete the following steps:

  1. Check the pod events on the hub cluster namespace with the following command:

    oc describe pod search-redisgraph-0
  2. If you have created a searchcustomization CR, check if the storage class and storage size is valid, and check if a PVC can be created. List the PVC by running the following command:

    oc get pvc  <storageclassname>-search-redisgraph-0
  3. Make sure the PVC can be bound to the search-redisgraph-0 pod. If the problem is still not resolved , delete the StatefulSet search-redisgraph. The search operator recreates the StatefulSet. Run the following command:

    oc delete statefulset -n open-cluster-management search-redisgraph

1.25. Troubleshooting metrics-collector

When the observability-client-ca-certificate secret is not refreshed in the managed cluster, you might receive an internal server error.

1.25.1. Symptom: metrics-collector cannot verify observability-client-ca-certificate

There might be a managed cluster, where the metrics are unavailable. If this is the case, you might receive the following error from the metrics-collector deployment:

error: response status code is 500 Internal Server Error, response body is x509: certificate signed by unknown authority (possibly because of "crypto/rsa: verification error" while trying to verify candidate authority certificate "observability-client-ca-certificate")

1.25.2. Resolving the problem: metrics-collector cannot verify observability-client-ca-certificate

If you have this problem, complete the following steps:

  1. Log in to your managed cluster.
  2. Delete the secret named, observability-controller-open-cluster-management.io-observability-signer-client-cert that is in the open-cluster-management-addon-observability namespace. Run the following command:

    oc delete observability-controller-open-cluster-management.io-observability-signer-client-cert -n open-cluster-management-addon-observability

    Note: The observability-controller-open-cluster-management.io-observability-signer-client-cert is automatically recreated with new certificates.

The metrics-collector deployment is recreated and the observability-controller-open-cluster-management.io-observability-signer-client-cert secret is updated.