Chapter 4. Administrator tasks 4.1. Adding Operators to a cluster Using Operator Lifecycle Manager (OLM), administrators with the dedicated-admin role can install OLM-based Operators to an Red Hat OpenShift Service on AWS cluster. Note For information on how OLM handles updates for installed Operators colocated in the same namespace, as well as an alternative method for installing Operators with custom global Operator groups, see Multitenancy and Operator colocation . 4.1.1. About Operator installation with OperatorHub OperatorHub is a user interface for discovering Operators; it works in conjunction with Operator Lifecycle Manager (OLM), which installs and manages Operators on a cluster. As a dedicated-admin , you can install an Operator from OperatorHub by using the Red Hat OpenShift Service on AWS web console or CLI. Subscribing an Operator to one or more namespaces makes the Operator available to developers on your cluster. During installation, you must determine the following initial settings for the Operator: Installation Mode Choose All namespaces on the cluster (default) to have the Operator installed on all namespaces or choose individual namespaces, if available, to only install the Operator on selected namespaces. This example chooses All namespaces... to make the Operator available to all users and projects. Update Channel If an Operator is available through multiple channels, you can choose which channel you want to subscribe to. For example, to deploy from the stable channel, if available, select it from the list. Approval Strategy You can choose automatic or manual updates. If you choose automatic updates for an installed Operator, when a new version of that Operator is available in the selected channel, Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without human intervention. If you select manual updates, when a newer version of an Operator is available, OLM creates an update request. As a dedicated-admin , you must then manually approve that update request to have the Operator updated to the new version. Additional resources Understanding OperatorHub 4.1.2. Installing from OperatorHub by using the web console You can install and subscribe to an Operator from OperatorHub by using the Red Hat OpenShift Service on AWS web console. Prerequisites Access to an Red Hat OpenShift Service on AWS cluster using an account with the dedicated-admin role. Procedure Navigate in the web console to the Operators OperatorHub page. Scroll or type a keyword into the Filter by keyword box to find the Operator you want. For example, type advanced to find the Advanced Cluster Management for Kubernetes Operator. You can also filter options by Infrastructure Features . For example, select Disconnected if you want to see Operators that work in disconnected environments, also known as restricted network environments. Select the Operator to display additional information. Note Choosing a Community Operator warns that Red Hat does not certify Community Operators; you must acknowledge the warning before continuing. Read the information about the Operator and click Install . On the Install Operator page, configure your Operator installation: If you want to install a specific version of an Operator, select an Update channel and Version from the lists. You can browse the various versions of an Operator across any channels it might have, view the metadata for that channel and version, and select the exact version you want to install. Note The version selection defaults to the latest version for the channel selected. If the latest version for the channel is selected, the Automatic approval strategy is enabled by default. Otherwise, Manual approval is required when not installing the latest version for the selected channel. Installing an Operator with Manual approval causes all Operators installed within the namespace to function with the Manual approval strategy and all Operators are updated together. If you want to update Operators independently, install Operators into separate namespaces. Confirm the installation mode for the Operator: All namespaces on the cluster (default) installs the Operator in the default openshift-operators namespace to watch and be made available to all namespaces in the cluster. This option is not always available. A specific namespace on the cluster allows you to choose a specific, single namespace in which to install the Operator. The Operator will only watch and be made available for use in this single namespace. For clusters on cloud providers with token authentication enabled: If the cluster uses AWS Security Token Service ( STS Mode in the web console), enter the Amazon Resource Name (ARN) of the AWS IAM role of your service account in the role ARN field. To create the role's ARN, follow the procedure described in Preparing AWS account . If the cluster uses Microsoft Entra Workload ID ( Workload Identity / Federated Identity Mode in the web console), add the client ID, tenant ID, and subscription ID in the appropriate fields. If the cluster uses Google Cloud Platform Workload Identity ( GCP Workload Identity / Federated Identity Mode in the web console), add the project number, pool ID, provider ID, and service account email in the appropriate fields. For Update approval , select either the Automatic or Manual approval strategy. Important If the web console shows that the cluster uses AWS STS, Microsoft Entra Workload ID, or GCP Workload Identity, you must set Update approval to Manual . Subscriptions with automatic approvals for updates are not recommended because there might be permission changes to make before updating. Subscriptions with manual approvals for updates ensure that administrators have the opportunity to verify the permissions of the later version, take any necessary steps, and then update. Click Install to make the Operator available to the selected namespaces on this Red Hat OpenShift Service on AWS cluster: If you selected a Manual approval strategy, the upgrade status of the subscription remains Upgrading until you review and approve the install plan. After approving on the Install Plan page, the subscription upgrade status moves to Up to date . If you selected an Automatic approval strategy, the upgrade status should resolve to Up to date without intervention. Verification After the upgrade status of the subscription is Up to date , select Operators Installed Operators to verify that the cluster service version (CSV) of the installed Operator eventually shows up. The Status should eventually resolve to Succeeded in the relevant namespace. Note For the All namespaces... installation mode, the status resolves to Succeeded in the openshift-operators namespace, but the status is Copied if you check in other namespaces. If it does not: Check the logs in any pods in the openshift-operators project (or other relevant namespace if A specific namespace... installation mode was selected) on the Workloads Pods page that are reporting issues to troubleshoot further. When the Operator is installed, the metadata indicates which channel and version are installed. Note The Channel and Version dropdown menus are still available for viewing other version metadata in this catalog context. Additional resources Manually approving a pending Operator update 4.1.3. Installing from OperatorHub by using the CLI Instead of using the Red Hat OpenShift Service on AWS web console, you can install an Operator from OperatorHub by using the CLI. Use the oc command to create or update a Subscription object. For SingleNamespace install mode, you must also ensure an appropriate Operator group exists in the related namespace. An Operator group, defined by an OperatorGroup object, selects target namespaces in which to generate required RBAC access for all Operators in the same namespace as the Operator group. Tip In most cases, the web console method of this procedure is preferred because it automates tasks in the background, such as handling the creation of OperatorGroup and Subscription objects automatically when choosing SingleNamespace mode. Prerequisites Access to an Red Hat OpenShift Service on AWS cluster using an account with the dedicated-admin role. You have installed the OpenShift CLI ( oc ). Procedure View the list of Operators available to the cluster from OperatorHub: USD oc get packagemanifests -n openshift-marketplace Example 4.1. Example output NAME CATALOG AGE 3scale-operator Red Hat Operators 91m advanced-cluster-management Red Hat Operators 91m amq7-cert-manager Red Hat Operators 91m # ... couchbase-enterprise-certified Certified Operators 91m crunchy-postgres-operator Certified Operators 91m mongodb-enterprise Certified Operators 91m # ... etcd Community Operators 91m jaeger Community Operators 91m kubefed Community Operators 91m # ... Note the catalog for your desired Operator. Inspect your desired Operator to verify its supported install modes and available channels: USD oc describe packagemanifests <operator_name> -n openshift-marketplace Example 4.2. Example output # ... Kind: PackageManifest # ... Install Modes: 1 Supported: true Type: OwnNamespace Supported: true Type: SingleNamespace Supported: false Type: MultiNamespace Supported: true Type: AllNamespaces # ... Entries: Name: example-operator.v3.7.11 Version: 3.7.11 Name: example-operator.v3.7.10 Version: 3.7.10 Name: stable-3.7 2 # ... Entries: Name: example-operator.v3.8.5 Version: 3.8.5 Name: example-operator.v3.8.4 Version: 3.8.4 Name: stable-3.8 3 Default Channel: stable-3.8 4 1 Indicates which install modes are supported. 2 3 Example channel names. 4 The channel selected by default if one is not specified. Tip You can print an Operator's version and channel information in YAML format by running the following command: USD oc get packagemanifests <operator_name> -n <catalog_namespace> -o yaml If more than one catalog is installed in a namespace, run the following command to look up the available versions and channels of an Operator from a specific catalog: USD oc get packagemanifest \ --selector=catalog=<catalogsource_name> \ --field-selector metadata.name=<operator_name> \ -n <catalog_namespace> -o yaml Important If you do not specify the Operator's catalog, running the oc get packagemanifest and oc describe packagemanifest commands might return a package from an unexpected catalog if the following conditions are met: Multiple catalogs are installed in the same namespace. The catalogs contain the same Operators or Operators with the same name. If the Operator you intend to install supports the AllNamespaces install mode, and you choose to use this mode, skip this step, because the openshift-operators namespace already has an appropriate Operator group in place by default, called global-operators . If the Operator you intend to install supports the SingleNamespace install mode, and you choose to use this mode, you must ensure an appropriate Operator group exists in the related namespace. If one does not exist, you can create create one by following these steps: Important You can only have one Operator group per namespace. For more information, see "Operator groups". Create an OperatorGroup object YAML file, for example operatorgroup.yaml , for SingleNamespace install mode: Example OperatorGroup object for SingleNamespace install mode apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: <operatorgroup_name> namespace: <namespace> 1 spec: targetNamespaces: - <namespace> 2 1 2 For SingleNamespace install mode, use the same <namespace> value for both the metadata.namespace and spec.targetNamespaces fields. Create the OperatorGroup object: USD oc apply -f operatorgroup.yaml Create a Subscription object to subscribe a namespace to an Operator: Create a YAML file for the Subscription object, for example subscription.yaml : Note If you want to subscribe to a specific version of an Operator, set the startingCSV field to the desired version and set the installPlanApproval field to Manual to prevent the Operator from automatically upgrading if a later version exists in the catalog. For details, see the following "Example Subscription object with a specific starting Operator version". Example 4.3. Example Subscription object apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: <subscription_name> namespace: <namespace_per_install_mode> 1 spec: channel: <channel_name> 2 name: <operator_name> 3 source: <catalog_name> 4 sourceNamespace: <catalog_source_namespace> 5 config: env: 6 - name: ARGS value: "-v=10" envFrom: 7 - secretRef: name: license-secret volumes: 8 - name: <volume_name> configMap: name: <configmap_name> volumeMounts: 9 - mountPath: <directory_name> name: <volume_name> tolerations: 10 - operator: "Exists" resources: 11 requests: memory: "64Mi" cpu: "250m" limits: memory: "128Mi" cpu: "500m" nodeSelector: 12 foo: bar 1 For default AllNamespaces install mode usage, specify the openshift-operators namespace. Alternatively, you can specify a custom global namespace, if you have created one. For SingleNamespace install mode usage, specify the relevant single namespace. 2 Name of the channel to subscribe to. 3 Name of the Operator to subscribe to. 4 Name of the catalog source that provides the Operator. 5 Namespace of the catalog source. Use openshift-marketplace for the default OperatorHub catalog sources. 6 The env parameter defines a list of environment variables that must exist in all containers in the pod created by OLM. 7 The envFrom parameter defines a list of sources to populate environment variables in the container. 8 The volumes parameter defines a list of volumes that must exist on the pod created by OLM. 9 The volumeMounts parameter defines a list of volume mounts that must exist in all containers in the pod created by OLM. If a volumeMount references a volume that does not exist, OLM fails to deploy the Operator. 10 The tolerations parameter defines a list of tolerations for the pod created by OLM. 11 The resources parameter defines resource constraints for all the containers in the pod created by OLM. 12 The nodeSelector parameter defines a NodeSelector for the pod created by OLM. Example 4.4. Example Subscription object with a specific starting Operator version apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: example-operator namespace: example-operator spec: channel: stable-3.7 installPlanApproval: Manual 1 name: example-operator source: custom-operators sourceNamespace: openshift-marketplace startingCSV: example-operator.v3.7.10 2 1 Set the approval strategy to Manual in case your specified version is superseded by a later version in the catalog. This plan prevents an automatic upgrade to a later version and requires manual approval before the starting CSV can complete the installation. 2 Set a specific version of an Operator CSV. For clusters on cloud providers with token authentication enabled, such as Amazon Web Services (AWS) Security Token Service (STS), Microsoft Entra Workload ID, or Google Cloud Platform Workload Identity, configure your Subscription object by following these steps: Ensure the Subscription object is set to manual update approvals: Example 4.5. Example Subscription object with manual update approvals kind: Subscription # ... spec: installPlanApproval: Manual 1 1 Subscriptions with automatic approvals for updates are not recommended because there might be permission changes to make before updating. Subscriptions with manual approvals for updates ensure that administrators have the opportunity to verify the permissions of the later version, take any necessary steps, and then update. Include the relevant cloud provider-specific fields in the Subscription object's config section: If the cluster is in AWS STS mode, include the following fields: Example 4.6. Example Subscription object with AWS STS variables kind: Subscription # ... spec: config: env: - name: ROLEARN value: "<role_arn>" 1 1 Include the role ARN details. If the cluster is in Workload ID mode, include the following fields: Example 4.7. Example Subscription object with Workload ID variables kind: Subscription # ... spec: config: env: - name: CLIENTID value: "<client_id>" 1 - name: TENANTID value: "<tenant_id>" 2 - name: SUBSCRIPTIONID value: "<subscription_id>" 3 1 Include the client ID. 2 Include the tenant ID. 3 Include the subscription ID. If the cluster is in GCP Workload Identity mode, include the following fields: Example 4.8. Example Subscription object with GCP Workload Identity variables kind: Subscription # ... spec: config: env: - name: AUDIENCE value: "<audience_url>" 1 - name: SERVICE_ACCOUNT_EMAIL value: "<service_account_email>" 2 where: <audience> Created in GCP by the administrator when they set up GCP Workload Identity, the AUDIENCE value must be a preformatted URL in the following format: //iam.googleapis.com/projects/<project_number>/locations/global/workloadIdentityPools/<pool_id>/providers/<provider_id> <service_account_email> The SERVICE_ACCOUNT_EMAIL value is a GCP service account email that is impersonated during Operator operation, for example: <service_account_name>@<project_id>.iam.gserviceaccount.com Create the Subscription object by running the following command: USD oc apply -f subscription.yaml If you set the installPlanApproval field to Manual , manually approve the pending install plan to complete the Operator installation. For more information, see "Manually approving a pending Operator update". At this point, OLM is now aware of the selected Operator. A cluster service version (CSV) for the Operator should appear in the target namespace, and APIs provided by the Operator should be available for creation. Verification Check the status of the Subscription object for your installed Operator by running the following command: USD oc describe subscription <subscription_name> -n <namespace> If you created an Operator group for SingleNamespace install mode, check the status of the OperatorGroup object by running the following command: USD oc describe operatorgroup <operatorgroup_name> -n <namespace> Additional resources About Operator groups Installing global Operators in custom namespaces Manually approving a pending Operator update 4.1.4. Preparing for multiple instances of an Operator for multitenant clusters As an administrator with the dedicated-admin role, you can add multiple instances of an Operator for use in multitenant clusters. This is an alternative solution to either using the standard All namespaces install mode, which can be considered to violate the principle of least privilege, or the Multinamespace mode, which is not widely adopted. For more information, see "Operators in multitenant clusters". In the following procedure, the tenant is a user or group of users that share common access and privileges for a set of deployed workloads. The tenant Operator is the instance of an Operator that is intended for use by only that tenant. Prerequisites You have access to the cluster as a user with the dedicated-admin role. All instances of the Operator you want to install must be the same version across a given cluster. Important For more information on this and other limitations, see "Operators in multitenant clusters". Procedure Before installing the Operator, create a namespace for the tenant Operator that is separate from the tenant's namespace. You can do this by creating a project. For example, if the tenant's namespace is team1 , you might create a team1-operator project: USD oc new-project team1-operator Create an Operator group for the tenant Operator scoped to the tenant's namespace, with only that one namespace entry in the spec.targetNamespaces list: Define an OperatorGroup resource and save the YAML file, for example, team1-operatorgroup.yaml : apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: team1-operatorgroup namespace: team1-operator spec: targetNamespaces: - team1 1 1 1 Define only the tenant's namespace in the spec.targetNamespaces list. Create the Operator group by running the following command: USD oc create -f team1-operatorgroup.yaml steps Install the Operator in the tenant Operator namespace. This task is more easily performed by using the OperatorHub in the web console instead of the CLI; for a detailed procedure, see Installing from OperatorHub using the web console . Note After completing the Operator installation, the Operator resides in the tenant Operator namespace and watches the tenant namespace, but neither the Operator's pod nor its service account are visible or usable by the tenant. Additional resources Operators in multitenant clusters 4.1.5. Installing global Operators in custom namespaces When installing Operators with the Red Hat OpenShift Service on AWS web console, the default behavior installs Operators that support the All namespaces install mode into the default openshift-operators global namespace. This can cause issues related to shared install plans and update policies between all Operators in the namespace. For more details on these limitations, see "Multitenancy and Operator colocation". As an administrator with the dedicated-admin role, you can bypass this default behavior manually by creating a custom global namespace and using that namespace to install your individual or scoped set of Operators and their dependencies. Prerequisites You have access to the cluster as a user with the dedicated-admin role. Procedure Before installing the Operator, create a namespace for the installation of your desired Operator. You can do this by creating a project. The namespace for this project will become the custom global namespace: USD oc new-project global-operators Create a custom global Operator group , which is an Operator group that watches all namespaces: Define an OperatorGroup resource and save the YAML file, for example, global-operatorgroup.yaml . Omit both the spec.selector and spec.targetNamespaces fields to make it a global Operator group , which selects all namespaces: apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: global-operatorgroup namespace: global-operators Note The status.namespaces of a created global Operator group contains the empty string ( "" ), which signals to a consuming Operator that it should watch all namespaces. Create the Operator group by running the following command: USD oc create -f global-operatorgroup.yaml steps Install the desired Operator in your custom global namespace. Because the web console does not populate the Installed Namespace menu during Operator installation with custom global namespaces, this task can only be performed with the OpenShift CLI ( oc ). For a detailed procedure, see Installing from OperatorHub using the CLI . Note When you initiate the Operator installation, if the Operator has dependencies, the dependencies are also automatically installed in the custom global namespace. As a result, it is then valid for the dependency Operators to have the same update policy and shared install plans. Additional resources Multitenancy and Operator colocation 4.1.6. Pod placement of Operator workloads By default, Operator Lifecycle Manager (OLM) places pods on arbitrary worker nodes when installing an Operator or deploying Operand workloads. As an administrator, you can use projects with a combination of node selectors, taints, and tolerations to control the placement of Operators and Operands to specific nodes. Controlling pod placement of Operator and Operand workloads has the following prerequisites: Determine a node or set of nodes to target for the pods per your requirements. If available, note an existing label, such as node-role.kubernetes.io/app , that identifies the node or nodes. Otherwise, add a label, such as myoperator , by using a compute machine set or editing the node directly. You will use this label in a later step as the node selector on your project. If you want to ensure that only pods with a certain label are allowed to run on the nodes, while steering unrelated workloads to other nodes, add a taint to the node or nodes by using a compute machine set or editing the node directly. Use an effect that ensures that new pods that do not match the taint cannot be scheduled on the nodes. For example, a myoperator:NoSchedule taint ensures that new pods that do not match the taint are not scheduled onto that node, but existing pods on the node are allowed to remain. Create a project that is configured with a default node selector and, if you added a taint, a matching toleration. At this point, the project you created can be used to steer pods towards the specified nodes in the following scenarios: For Operator pods Administrators can create a Subscription object in the project as described in the following section. As a result, the Operator pods are placed on the specified nodes. For Operand pods Using an installed Operator, users can create an application in the project, which places the custom resource (CR) owned by the Operator in the project. As a result, the Operand pods are placed on the specified nodes, unless the Operator is deploying cluster-wide objects or resources in other namespaces, in which case this customized pod placement does not apply. Additional resources Creating project-wide node selectors 4.1.7. Controlling where an Operator is installed By default, when you install an Operator, Red Hat OpenShift Service on AWS installs the Operator pod to one of your worker nodes randomly. However, there might be situations where you want that pod scheduled on a specific node or set of nodes. The following examples describe situations where you might want to schedule an Operator pod to a specific node or set of nodes: If you want Operators that work together scheduled on the same host or on hosts located on the same rack If you want Operators dispersed throughout the infrastructure to avoid downtime due to network or hardware issues You can control where an Operator pod is installed by adding node affinity, pod affinity, or pod anti-affinity constraints to the Operator's Subscription object. Node affinity is a set of rules used by the scheduler to determine where a pod can be placed. Pod affinity enables you to ensure that related pods are scheduled to the same node. Pod anti-affinity allows you to prevent a pod from being scheduled on a node. The following examples show how to use node affinity or pod anti-affinity to install an instance of the Custom Metrics Autoscaler Operator to a specific node in the cluster: Node affinity example that places the Operator pod on a specific node apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: nodeAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/hostname operator: In values: - ip-10-0-163-94.us-west-2.compute.internal #... 1 A node affinity that requires the Operator's pod to be scheduled on a node named ip-10-0-163-94.us-west-2.compute.internal . Node affinity example that places the Operator pod on a node with a specific platform apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: nodeAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/arch operator: In values: - arm64 - key: kubernetes.io/os operator: In values: - linux #... 1 A node affinity that requires the Operator's pod to be scheduled on a node with the kubernetes.io/arch=arm64 and kubernetes.io/os=linux labels. Pod affinity example that places the Operator pod on one or more specific nodes apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: podAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: app operator: In values: - test topologyKey: kubernetes.io/hostname #... 1 A pod affinity that places the Operator's pod on a node that has pods with the app=test label. Pod anti-affinity example that prevents the Operator pod from one or more specific nodes apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: podAntiAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: cpu operator: In values: - high topologyKey: kubernetes.io/hostname #... 1 A pod anti-affinity that prevents the Operator's pod from being scheduled on a node that has pods with the cpu=high label. Procedure To control the placement of an Operator pod, complete the following steps: Install the Operator as usual. If needed, ensure that your nodes are labeled to properly respond to the affinity. Edit the Operator Subscription object to add an affinity: apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: 1 nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/hostname operator: In values: - ip-10-0-185-229.ec2.internal #... 1 Add a nodeAffinity , podAffinity , or podAntiAffinity . See the Additional resources section that follows for information about creating the affinity. Verification To ensure that the pod is deployed on the specific node, run the following command: USD oc get pods -o wide Example output NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES custom-metrics-autoscaler-operator-5dcc45d656-bhshg 1/1 Running 0 50s 10.131.0.20 ip-10-0-185-229.ec2.internal <none> <none> Additional resources Understanding pod affinity Understanding node affinity 4.2. Updating installed Operators As an administrator with the dedicated-admin role, you can update Operators that have been previously installed using Operator Lifecycle Manager (OLM) on your Red Hat OpenShift Service on AWS cluster. Note For information on how OLM handles updates for installed Operators colocated in the same namespace, as well as an alternative method for installing Operators with custom global Operator groups, see Multitenancy and Operator colocation . 4.2.1. Preparing for an Operator update The subscription of an installed Operator specifies an update channel that tracks and receives updates for the Operator. You can change the update channel to start tracking and receiving updates from a newer channel. The names of update channels in a subscription can differ between Operators, but the naming scheme typically follows a common convention within a given Operator. For example, channel names might follow a minor release update stream for the application provided by the Operator ( 1.2 , 1.3 ) or a release frequency ( stable , fast ). Note You cannot change installed Operators to a channel that is older than the current channel. Red Hat Customer Portal Labs include the following application that helps administrators prepare to update their Operators: Red Hat OpenShift Container Platform Operator Update Information Checker You can use the application to search for Operator Lifecycle Manager-based Operators and verify the available Operator version per update channel across different versions of Red Hat OpenShift Service on AWS. Cluster Version Operator-based Operators are not included. 4.2.2. Changing the update channel for an Operator You can change the update channel for an Operator by using the Red Hat OpenShift Service on AWS web console. Tip If the approval strategy in the subscription is set to Automatic , the update process initiates as soon as a new Operator version is available in the selected channel. If the approval strategy is set to Manual , you must manually approve pending updates. Prerequisites An Operator previously installed using Operator Lifecycle Manager (OLM). Procedure In the Administrator perspective of the web console, navigate to Operators Installed Operators . Click the name of the Operator you want to change the update channel for. Click the Subscription tab. Click the name of the update channel under Update channel . Click the newer update channel that you want to change to, then click Save . For subscriptions with an Automatic approval strategy, the update begins automatically. Navigate back to the Operators Installed Operators page to monitor the progress of the update. When complete, the status changes to Succeeded and Up to date . For subscriptions with a Manual approval strategy, you can manually approve the update from the Subscription tab. 4.2.3. Manually approving a pending Operator update If an installed Operator has the approval strategy in its subscription set to Manual , when new updates are released in its current update channel, the update must be manually approved before installation can begin. Prerequisites An Operator previously installed using Operator Lifecycle Manager (OLM). Procedure In the Administrator perspective of the Red Hat OpenShift Service on AWS web console, navigate to Operators Installed Operators . Operators that have a pending update display a status with Upgrade available . Click the name of the Operator you want to update. Click the Subscription tab. Any updates requiring approval are displayed to Upgrade status . For example, it might display 1 requires approval . Click 1 requires approval , then click Preview Install Plan . Review the resources that are listed as available for update. When satisfied, click Approve . Navigate back to the Operators Installed Operators page to monitor the progress of the update. When complete, the status changes to Succeeded and Up to date . 4.3. Deleting Operators from a cluster The following describes how to delete, or uninstall, Operators that were previously installed using Operator Lifecycle Manager (OLM) on your Red Hat OpenShift Service on AWS cluster. Important You must successfully and completely uninstall an Operator prior to attempting to reinstall the same Operator. Failure to fully uninstall the Operator properly can leave resources, such as a project or namespace, stuck in a "Terminating" state and cause "error resolving resource" messages to be observed when trying to reinstall the Operator. 4.3.1. Deleting Operators from a cluster using the web console Cluster administrators can delete installed Operators from a selected namespace by using the web console. Prerequisites You have access to an Red Hat OpenShift Service on AWS cluster web console using an account with dedicated-admin permissions. Procedure Navigate to the Operators Installed Operators page. Scroll or enter a keyword into the Filter by name field to find the Operator that you want to remove. Then, click on it. On the right side of the Operator Details page, select Uninstall Operator from the Actions list. An Uninstall Operator? dialog box is displayed. Select Uninstall to remove the Operator, Operator deployments, and pods. Following this action, the Operator stops running and no longer receives updates. Note This action does not remove resources managed by the Operator, including custom resource definitions (CRDs) and custom resources (CRs). Dashboards and navigation items enabled by the web console and off-cluster resources that continue to run might need manual clean up. To remove these after uninstalling the Operator, you might need to manually delete the Operator CRDs. 4.3.2. Deleting Operators from a cluster using the CLI Cluster administrators can delete installed Operators from a selected namespace by using the CLI. Prerequisites You have access to an Red Hat OpenShift Service on AWS cluster using an account with dedicated-admin permissions. The OpenShift CLI ( oc ) is installed on your workstation. Procedure Ensure the latest version of the subscribed operator (for example, serverless-operator ) is identified in the currentCSV field. USD oc get subscription.operators.coreos.com serverless-operator -n openshift-serverless -o yaml | grep currentCSV Example output currentCSV: serverless-operator.v1.28.0 Delete the subscription (for example, serverless-operator ): USD oc delete subscription.operators.coreos.com serverless-operator -n openshift-serverless Example output subscription.operators.coreos.com "serverless-operator" deleted Delete the CSV for the Operator in the target namespace using the currentCSV value from the step: USD oc delete clusterserviceversion serverless-operator.v1.28.0 -n openshift-serverless Example output clusterserviceversion.operators.coreos.com "serverless-operator.v1.28.0" deleted 4.3.3. Refreshing failing subscriptions In Operator Lifecycle Manager (OLM), if you subscribe to an Operator that references images that are not accessible on your network, you can find jobs in the openshift-marketplace namespace that are failing with the following errors: Example output ImagePullBackOff for Back-off pulling image "example.com/openshift4/ose-elasticsearch-operator-bundle@sha256:6d2587129c846ec28d384540322b40b05833e7e00b25cca584e004af9a1d292e" Example output rpc error: code = Unknown desc = error pinging docker registry example.com: Get "https://example.com/v2/": dial tcp: lookup example.com on 10.0.0.1:53: no such host As a result, the subscription is stuck in this failing state and the Operator is unable to install or upgrade. You can refresh a failing subscription by deleting the subscription, cluster service version (CSV), and other related objects. After recreating the subscription, OLM then reinstalls the correct version of the Operator. Prerequisites You have a failing subscription that is unable to pull an inaccessible bundle image. You have confirmed that the correct bundle image is accessible. Procedure Get the names of the Subscription and ClusterServiceVersion objects from the namespace where the Operator is installed: USD oc get sub,csv -n <namespace> Example output NAME PACKAGE SOURCE CHANNEL subscription.operators.coreos.com/elasticsearch-operator elasticsearch-operator redhat-operators 5.0 NAME DISPLAY VERSION REPLACES PHASE clusterserviceversion.operators.coreos.com/elasticsearch-operator.5.0.0-65 OpenShift Elasticsearch Operator 5.0.0-65 Succeeded Delete the subscription: USD oc delete subscription <subscription_name> -n <namespace> Delete the cluster service version: USD oc delete csv <csv_name> -n <namespace> Get the names of any failing jobs and related config maps in the openshift-marketplace namespace: USD oc get job,configmap -n openshift-marketplace Example output NAME COMPLETIONS DURATION AGE job.batch/1de9443b6324e629ddf31fed0a853a121275806170e34c926d69e53a7fcbccb 1/1 26s 9m30s NAME DATA AGE configmap/1de9443b6324e629ddf31fed0a853a121275806170e34c926d69e53a7fcbccb 3 9m30s Delete the job: USD oc delete job <job_name> -n openshift-marketplace This ensures pods that try to pull the inaccessible image are not recreated. Delete the config map: USD oc delete configmap <configmap_name> -n openshift-marketplace Reinstall the Operator using OperatorHub in the web console. Verification Check that the Operator has been reinstalled successfully: USD oc get sub,csv,installplan -n <namespace> 4.4. Configuring proxy support in Operator Lifecycle Manager If a global proxy is configured on the Red Hat OpenShift Service on AWS cluster, Operator Lifecycle Manager (OLM) automatically configures Operators that it manages with the cluster-wide proxy. However, you can also configure installed Operators to override the global proxy or inject a custom CA certificate. Additional resources Configuring a cluster-wide proxy Developing Operators that support proxy settings for Go , Ansible , and Helm 4.4.1. Overriding proxy settings of an Operator If a cluster-wide egress proxy is configured, Operators running with Operator Lifecycle Manager (OLM) inherit the cluster-wide proxy settings on their deployments. Administrators with the dedicated-admin role can also override these proxy settings by configuring the subscription of an Operator. Important Operators must handle setting environment variables for proxy settings in the pods for any managed Operands. Prerequisites Access to a Red Hat OpenShift Service on AWS cluster as a user with the dedicated-admin role. Procedure Navigate in the web console to the Operators OperatorHub page. Select the Operator and click Install . On the Install Operator page, modify the Subscription object to include one or more of the following environment variables in the spec section: HTTP_PROXY HTTPS_PROXY NO_PROXY For example: Subscription object with proxy setting overrides apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: etcd-config-test namespace: openshift-operators spec: config: env: - name: HTTP_PROXY value: test_http - name: HTTPS_PROXY value: test_https - name: NO_PROXY value: test channel: clusterwide-alpha installPlanApproval: Automatic name: etcd source: community-operators sourceNamespace: openshift-marketplace startingCSV: etcdoperator.v0.9.4-clusterwide Note These environment variables can also be unset using an empty value to remove any previously set cluster-wide or custom proxy settings. OLM handles these environment variables as a unit; if at least one of them is set, all three are considered overridden and the cluster-wide defaults are not used for the deployments of the subscribed Operator. Click Install to make the Operator available to the selected namespaces. After the CSV for the Operator appears in the relevant namespace, you can verify that custom proxy environment variables are set in the deployment. For example, using the CLI: USD oc get deployment -n openshift-operators \ etcd-operator -o yaml \ | grep -i "PROXY" -A 2 Example output - name: HTTP_PROXY value: test_http - name: HTTPS_PROXY value: test_https - name: NO_PROXY value: test image: quay.io/coreos/etcd-operator@sha256:66a37fd61a06a43969854ee6d3e21088a98b93838e284a6086b13917f96b0d9c ... 4.4.2. Injecting a custom CA certificate When an administrator with the dedicated-admin role adds a custom CA certificate to a cluster using a config map, the Cluster Network Operator merges the user-provided certificates and system CA certificates into a single bundle. You can inject this merged bundle into your Operator running on Operator Lifecycle Manager (OLM), which is useful if you have a man-in-the-middle HTTPS proxy. Prerequisites Access to a Red Hat OpenShift Service on AWS cluster as a user with the dedicated-admin role. Custom CA certificate added to the cluster using a config map. Desired Operator installed and running on OLM. Procedure Create an empty config map in the namespace where the subscription for your Operator exists and include the following label: apiVersion: v1 kind: ConfigMap metadata: name: trusted-ca 1 labels: config.openshift.io/inject-trusted-cabundle: "true" 2 1 Name of the config map. 2 Requests the Cluster Network Operator to inject the merged bundle. After creating this config map, it is immediately populated with the certificate contents of the merged bundle. Update the Subscription object to include a spec.config section that mounts the trusted-ca config map as a volume to each container within a pod that requires a custom CA: apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: my-operator spec: package: etcd channel: alpha config: 1 selector: matchLabels: <labels_for_pods> 2 volumes: 3 - name: trusted-ca configMap: name: trusted-ca items: - key: ca-bundle.crt 4 path: tls-ca-bundle.pem 5 volumeMounts: 6 - name: trusted-ca mountPath: /etc/pki/ca-trust/extracted/pem readOnly: true 1 Add a config section if it does not exist. 2 Specify labels to match pods that are owned by the Operator. 3 Create a trusted-ca volume. 4 ca-bundle.crt is required as the config map key. 5 tls-ca-bundle.pem is required as the config map path. 6 Create a trusted-ca volume mount. Note Deployments of an Operator can fail to validate the authority and display a x509 certificate signed by unknown authority error. This error can occur even after injecting a custom CA when using the subscription of an Operator. In this case, you can set the mountPath as /etc/ssl/certs for trusted-ca by using the subscription of an Operator. 4.5. Viewing Operator status Understanding the state of the system in Operator Lifecycle Manager (OLM) is important for making decisions about and debugging problems with installed Operators. OLM provides insight into subscriptions and related catalog sources regarding their state and actions performed. This helps users better understand the healthiness of their Operators. 4.5.1. Operator subscription condition types Subscriptions can report the following condition types: Table 4.1. Subscription condition types Condition Description CatalogSourcesUnhealthy Some or all of the catalog sources to be used in resolution are unhealthy. InstallPlanMissing An install plan for a subscription is missing. InstallPlanPending An install plan for a subscription is pending installation. InstallPlanFailed An install plan for a subscription has failed. ResolutionFailed The dependency resolution for a subscription has failed. Note Default Red Hat OpenShift Service on AWS cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object. Additional resources Refreshing failing subscriptions 4.5.2. Viewing Operator subscription status by using the CLI You can view Operator subscription status by using the CLI. Prerequisites You have access to the cluster as a user with the dedicated-admin role. You have installed the OpenShift CLI ( oc ). Procedure List Operator subscriptions: USD oc get subs -n <operator_namespace> Use the oc describe command to inspect a Subscription resource: USD oc describe sub <subscription_name> -n <operator_namespace> In the command output, find the Conditions section for the status of Operator subscription condition types. In the following example, the CatalogSourcesUnhealthy condition type has a status of false because all available catalog sources are healthy: Example output Name: cluster-logging Namespace: openshift-logging Labels: operators.coreos.com/cluster-logging.openshift-logging= Annotations: <none> API Version: operators.coreos.com/v1alpha1 Kind: Subscription # ... Conditions: Last Transition Time: 2019-07-29T13:42:57Z Message: all available catalogsources are healthy Reason: AllCatalogSourcesHealthy Status: False Type: CatalogSourcesUnhealthy # ... Note Default Red Hat OpenShift Service on AWS cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object. 4.5.3. Viewing Operator catalog source status by using the CLI You can view the status of an Operator catalog source by using the CLI. Prerequisites You have access to the cluster as a user with the dedicated-admin role. You have installed the OpenShift CLI ( oc ). Procedure List the catalog sources in a namespace. For example, you can check the openshift-marketplace namespace, which is used for cluster-wide catalog sources: USD oc get catalogsources -n openshift-marketplace Example output NAME DISPLAY TYPE PUBLISHER AGE certified-operators Certified Operators grpc Red Hat 55m community-operators Community Operators grpc Red Hat 55m example-catalog Example Catalog grpc Example Org 2m25s redhat-marketplace Red Hat Marketplace grpc Red Hat 55m redhat-operators Red Hat Operators grpc Red Hat 55m Use the oc describe command to get more details and status about a catalog source: USD oc describe catalogsource example-catalog -n openshift-marketplace Example output Name: example-catalog Namespace: openshift-marketplace Labels: <none> Annotations: operatorframework.io/managed-by: marketplace-operator target.workload.openshift.io/management: {"effect": "PreferredDuringScheduling"} API Version: operators.coreos.com/v1alpha1 Kind: CatalogSource # ... Status: Connection State: Address: example-catalog.openshift-marketplace.svc:50051 Last Connect: 2021-09-09T17:07:35Z Last Observed State: TRANSIENT_FAILURE Registry Service: Created At: 2021-09-09T17:05:45Z Port: 50051 Protocol: grpc Service Name: example-catalog Service Namespace: openshift-marketplace # ... In the preceding example output, the last observed state is TRANSIENT_FAILURE . This state indicates that there is a problem establishing a connection for the catalog source. List the pods in the namespace where your catalog source was created: USD oc get pods -n openshift-marketplace Example output NAME READY STATUS RESTARTS AGE certified-operators-cv9nn 1/1 Running 0 36m community-operators-6v8lp 1/1 Running 0 36m marketplace-operator-86bfc75f9b-jkgbc 1/1 Running 0 42m example-catalog-bwt8z 0/1 ImagePullBackOff 0 3m55s redhat-marketplace-57p8c 1/1 Running 0 36m redhat-operators-smxx8 1/1 Running 0 36m When a catalog source is created in a namespace, a pod for the catalog source is created in that namespace. In the preceding example output, the status for the example-catalog-bwt8z pod is ImagePullBackOff . This status indicates that there is an issue pulling the catalog source's index image. Use the oc describe command to inspect a pod for more detailed information: USD oc describe pod example-catalog-bwt8z -n openshift-marketplace Example output Name: example-catalog-bwt8z Namespace: openshift-marketplace Priority: 0 Node: ci-ln-jyryyg2-f76d1-ggdbq-worker-b-vsxjd/10.0.128.2 ... Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 48s default-scheduler Successfully assigned openshift-marketplace/example-catalog-bwt8z to ci-ln-jyryyf2-f76d1-fgdbq-worker-b-vsxjd Normal AddedInterface 47s multus Add eth0 [10.131.0.40/23] from openshift-sdn Normal BackOff 20s (x2 over 46s) kubelet Back-off pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 20s (x2 over 46s) kubelet Error: ImagePullBackOff Normal Pulling 8s (x3 over 47s) kubelet Pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 8s (x3 over 47s) kubelet Failed to pull image "quay.io/example-org/example-catalog:v1": rpc error: code = Unknown desc = reading manifest v1 in quay.io/example-org/example-catalog: unauthorized: access to the requested resource is not authorized Warning Failed 8s (x3 over 47s) kubelet Error: ErrImagePull In the preceding example output, the error messages indicate that the catalog source's index image is failing to pull successfully because of an authorization issue. For example, the index image might be stored in a registry that requires login credentials. Additional resources Operator Lifecycle Manager concepts and resources Catalog source gRPC documentation: States of Connectivity 4.6. Managing Operator conditions As an administrator with the dedicated-admin role, you can manage Operator conditions by using Operator Lifecycle Manager (OLM). 4.6.1. Overriding Operator conditions As an administrator with the dedicated-admin role, you might want to ignore a supported Operator condition reported by an Operator. When present, Operator conditions in the Spec.Overrides array override the conditions in the Spec.Conditions array, allowing dedicated-admin administrators to deal with situations where an Operator is incorrectly reporting a state to Operator Lifecycle Manager (OLM). Note By default, the Spec.Overrides array is not present in an OperatorCondition object until it is added by an administrator with the dedicated-admin role . The Spec.Conditions array is also not present until it is either added by a user or as a result of custom Operator logic. For example, consider a known version of an Operator that always communicates that it is not upgradeable. In this instance, you might want to upgrade the Operator despite the Operator communicating that it is not upgradeable. This could be accomplished by overriding the Operator condition by adding the condition type and status to the Spec.Overrides array in the OperatorCondition object. Prerequisites You have access to the cluster as a user with the dedicated-admin role. An Operator with an OperatorCondition object, installed using OLM. Procedure Edit the OperatorCondition object for the Operator: USD oc edit operatorcondition <name> Add a Spec.Overrides array to the object: Example Operator condition override apiVersion: operators.coreos.com/v2 kind: OperatorCondition metadata: name: my-operator namespace: operators spec: overrides: - type: Upgradeable 1 status: "True" reason: "upgradeIsSafe" message: "This is a known issue with the Operator where it always reports that it cannot be upgraded." conditions: - type: Upgradeable status: "False" reason: "migration" message: "The operator is performing a migration." lastTransitionTime: "2020-08-24T23:15:55Z" 1 Allows the dedicated-admin user to change the upgrade readiness to True . 4.6.2. Updating your Operator to use Operator conditions Operator Lifecycle Manager (OLM) automatically creates an OperatorCondition resource for each ClusterServiceVersion resource that it reconciles. All service accounts in the CSV are granted the RBAC to interact with the OperatorCondition owned by the Operator. An Operator author can develop their Operator to use the operator-lib library such that, after the Operator has been deployed by OLM, it can set its own conditions. For more resources about setting Operator conditions as an Operator author, see the Enabling Operator conditions page. 4.6.2.1. Setting defaults In an effort to remain backwards compatible, OLM treats the absence of an OperatorCondition resource as opting out of the condition. Therefore, an Operator that opts in to using Operator conditions should set default conditions before the ready probe for the pod is set to true . This provides the Operator with a grace period to update the condition to the correct state. 4.6.3. Additional resources Operator conditions 4.7. Managing custom catalogs Administrators with the dedicated-admin role and Operator catalog maintainers can create and manage custom catalogs packaged using the bundle format on Operator Lifecycle Manager (OLM) in Red Hat OpenShift Service on AWS. Important Kubernetes periodically deprecates certain APIs that are removed in subsequent releases. As a result, Operators are unable to use removed APIs starting with the version of Red Hat OpenShift Service on AWS that uses the Kubernetes version that removed the API. If your cluster is using custom catalogs, see Controlling Operator compatibility with Red Hat OpenShift Service on AWS versions for more details about how Operator authors can update their projects to help avoid workload issues and prevent incompatible upgrades. Additional resources Red Hat-provided Operator catalogs 4.7.1. Prerequisites You have installed the opm CLI . 4.7.2. File-based catalogs File-based catalogs are the latest iteration of the catalog format in Operator Lifecycle Manager (OLM). It is a plain text-based (JSON or YAML) and declarative config evolution of the earlier SQLite database format, and it is fully backwards compatible. Important As of Red Hat OpenShift Service on AWS 4.11, the default Red Hat-provided Operator catalog releases in the file-based catalog format. The default Red Hat-provided Operator catalogs for Red Hat OpenShift Service on AWS 4.6 through 4.10 released in the deprecated SQLite database format. The opm subcommands, flags, and functionality related to the SQLite database format are also deprecated and will be removed in a future release. The features are still supported and must be used for catalogs that use the deprecated SQLite database format. Many of the opm subcommands and flags for working with the SQLite database format, such as opm index prune , do not work with the file-based catalog format. For more information about working with file-based catalogs, see Operator Framework packaging format . 4.7.2.1. Creating a file-based catalog image You can use the opm CLI to create a catalog image that uses the plain text file-based catalog format (JSON or YAML), which replaces the deprecated SQLite database format. Prerequisites You have installed the opm CLI. You have podman version 1.9.3+. A bundle image is built and pushed to a registry that supports Docker v2-2 . Procedure Initialize the catalog: Create a directory for the catalog by running the following command: USD mkdir <catalog_dir> Generate a Dockerfile that can build a catalog image by running the opm generate dockerfile command: USD opm generate dockerfile <catalog_dir> \ -i registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4 1 1 Specify the official Red Hat base image by using the -i flag, otherwise the Dockerfile uses the default upstream image. The Dockerfile must be in the same parent directory as the catalog directory that you created in the step: Example directory structure . 1 ├── <catalog_dir> 2 └── <catalog_dir>.Dockerfile 3 1 Parent directory 2 Catalog directory 3 Dockerfile generated by the opm generate dockerfile command Populate the catalog with the package definition for your Operator by running the opm init command: USD opm init <operator_name> \ 1 --default-channel=preview \ 2 --description=./README.md \ 3 --icon=./operator-icon.svg \ 4 --output yaml \ 5 > <catalog_dir>/index.yaml 6 1 Operator, or package, name 2 Channel that subscriptions default to if unspecified 3 Path to the Operator's README.md or other documentation 4 Path to the Operator's icon 5 Output format: JSON or YAML 6 Path for creating the catalog configuration file This command generates an olm.package declarative config blob in the specified catalog configuration file. Add a bundle to the catalog by running the opm render command: USD opm render <registry>/<namespace>/<bundle_image_name>:<tag> \ 1 --output=yaml \ >> <catalog_dir>/index.yaml 2 1 Pull spec for the bundle image 2 Path to the catalog configuration file Note Channels must contain at least one bundle. Add a channel entry for the bundle. For example, modify the following example to your specifications, and add it to your <catalog_dir>/index.yaml file: Example channel entry --- schema: olm.channel package: <operator_name> name: preview entries: - name: <operator_name>.v0.1.0 1 1 Ensure that you include the period ( . ) after <operator_name> but before the v in the version. Otherwise, the entry fails to pass the opm validate command. Validate the file-based catalog: Run the opm validate command against the catalog directory: USD opm validate <catalog_dir> Check that the error code is 0 : USD echo USD? Example output 0 Build the catalog image by running the podman build command: USD podman build . \ -f <catalog_dir>.Dockerfile \ -t <registry>/<namespace>/<catalog_image_name>:<tag> Push the catalog image to a registry: If required, authenticate with your target registry by running the podman login command: USD podman login <registry> Push the catalog image by running the podman push command: USD podman push <registry>/<namespace>/<catalog_image_name>:<tag> Additional resources opm CLI reference 4.7.2.2. Updating or filtering a file-based catalog image You can use the opm CLI to update or filter a catalog image that uses the file-based catalog format. By extracting the contents of an existing catalog image, you can modify the catalog as needed, for example: Adding packages Removing packages Updating existing package entries Detailing deprecation messages per package, channel, and bundle You can then rebuild the image as an updated version of the catalog. Prerequisites You have the following on your workstation: The opm CLI. podman version 1.9.3+. A file-based catalog image. A catalog directory structure recently initialized on your workstation related to this catalog. If you do not have an initialized catalog directory, create the directory and generate the Dockerfile. For more information, see the "Initialize the catalog" step from the "Creating a file-based catalog image" procedure. Procedure Extract the contents of the catalog image in YAML format to an index.yaml file in your catalog directory: USD opm render <registry>/<namespace>/<catalog_image_name>:<tag> \ -o yaml > <catalog_dir>/index.yaml Note Alternatively, you can use the -o json flag to output in JSON format. Modify the contents of the resulting index.yaml file to your specifications: Important After a bundle has been published in a catalog, assume that one of your users has installed it. Ensure that all previously published bundles in a catalog have an update path to the current or newer channel head to avoid stranding users that have that version installed. To add an Operator, follow the steps for creating package, bundle, and channel entries in the "Creating a file-based catalog image" procedure. To remove an Operator, delete the set of olm.package , olm.channel , and olm.bundle blobs that relate to the package. The following example shows a set that must be deleted to remove the example-operator package from the catalog: Example 4.9. Example removed entries --- defaultChannel: release-2.7 icon: base64data: <base64_string> mediatype: image/svg+xml name: example-operator schema: olm.package --- entries: - name: example-operator.v2.7.0 skipRange: '>=2.6.0 <2.7.0' - name: example-operator.v2.7.1 replaces: example-operator.v2.7.0 skipRange: '>=2.6.0 <2.7.1' - name: example-operator.v2.7.2 replaces: example-operator.v2.7.1 skipRange: '>=2.6.0 <2.7.2' - name: example-operator.v2.7.3 replaces: example-operator.v2.7.2 skipRange: '>=2.6.0 <2.7.3' - name: example-operator.v2.7.4 replaces: example-operator.v2.7.3 skipRange: '>=2.6.0 <2.7.4' name: release-2.7 package: example-operator schema: olm.channel --- image: example.com/example-inc/example-operator-bundle@sha256:<digest> name: example-operator.v2.7.0 package: example-operator properties: - type: olm.gvk value: group: example-group.example.io kind: MyObject version: v1alpha1 - type: olm.gvk value: group: example-group.example.io kind: MyOtherObject version: v1beta1 - type: olm.package value: packageName: example-operator version: 2.7.0 - type: olm.bundle.object value: data: <base64_string> - type: olm.bundle.object value: data: <base64_string> relatedImages: - image: example.com/example-inc/example-related-image@sha256:<digest> name: example-related-image schema: olm.bundle --- To add or update deprecation messages for an Operator, ensure there is a deprecations.yaml file in the same directory as the package's index.yaml file. For information on the deprecations.yaml file format, see "olm.deprecations schema". Save your changes. Validate the catalog: USD opm validate <catalog_dir> Rebuild the catalog: USD podman build . \ -f <catalog_dir>.Dockerfile \ -t <registry>/<namespace>/<catalog_image_name>:<tag> Push the updated catalog image to a registry: USD podman push <registry>/<namespace>/<catalog_image_name>:<tag> Verification In the web console, navigate to the OperatorHub configuration resource in the Administration Cluster Settings Configuration page. Add the catalog source or update the existing catalog source to use the pull spec for your updated catalog image. For more information, see "Adding a catalog source to a cluster" in the "Additional resources" of this section. After the catalog source is in a READY state, navigate to the Operators OperatorHub page and check that the changes you made are reflected in the list of Operators. 4.7.3. SQLite-based catalogs Important The SQLite database format for Operator catalogs is a deprecated feature. Deprecated functionality is still included in Red Hat OpenShift Service on AWS and continues to be supported; however, it will be removed in a future release of this product and is not recommended for new deployments. For the most recent list of major functionality that has been deprecated or removed within Red Hat OpenShift Service on AWS, refer to the Deprecated and removed features section of the Red Hat OpenShift Service on AWS release notes. 4.7.3.1. Creating a SQLite-based index image You can create an index image based on the SQLite database format by using the opm CLI. Prerequisites You have installed the opm CLI. You have podman version 1.9.3+. A bundle image is built and pushed to a registry that supports Docker v2-2 . Procedure Start a new index: USD opm index add \ --bundles <registry>/<namespace>/<bundle_image_name>:<tag> \ 1 --tag <registry>/<namespace>/<index_image_name>:<tag> \ 2 [--binary-image <registry_base_image>] 3 1 Comma-separated list of bundle images to add to the index. 2 The image tag that you want the index image to have. 3 Optional: An alternative registry base image to use for serving the catalog. Push the index image to a registry. If required, authenticate with your target registry: USD podman login <registry> Push the index image: USD podman push <registry>/<namespace>/<index_image_name>:<tag> 4.7.3.2. Updating a SQLite-based index image After configuring OperatorHub to use a catalog source that references a custom index image, administrators with the dedicated-admin role can keep the available Operators on their cluster up-to-date by adding bundle images to the index image. You can update an existing index image using the opm index add command. Prerequisites You have installed the opm CLI. You have podman version 1.9.3+. An index image is built and pushed to a registry. You have an existing catalog source referencing the index image. Procedure Update the existing index by adding bundle images: USD opm index add \ --bundles <registry>/<namespace>/<new_bundle_image>@sha256:<digest> \ 1 --from-index <registry>/<namespace>/<existing_index_image>:<existing_tag> \ 2 --tag <registry>/<namespace>/<existing_index_image>:<updated_tag> \ 3 --pull-tool podman 4 1 The --bundles flag specifies a comma-separated list of additional bundle images to add to the index. 2 The --from-index flag specifies the previously pushed index. 3 The --tag flag specifies the image tag to apply to the updated index image. 4 The --pull-tool flag specifies the tool used to pull container images. where: <registry> Specifies the hostname of the registry, such as quay.io or mirror.example.com . <namespace> Specifies the namespace of the registry, such as ocs-dev or abc . <new_bundle_image> Specifies the new bundle image to add to the registry, such as ocs-operator . <digest> Specifies the SHA image ID, or digest, of the bundle image, such as c7f11097a628f092d8bad148406aa0e0951094a03445fd4bc0775431ef683a41 . <existing_index_image> Specifies the previously pushed image, such as abc-redhat-operator-index . <existing_tag> Specifies a previously pushed image tag, such as 4 . <updated_tag> Specifies the image tag to apply to the updated index image, such as 4.1 . Example command USD opm index add \ --bundles quay.io/ocs-dev/ocs-operator@sha256:c7f11097a628f092d8bad148406aa0e0951094a03445fd4bc0775431ef683a41 \ --from-index mirror.example.com/abc/abc-redhat-operator-index:4 \ --tag mirror.example.com/abc/abc-redhat-operator-index:4.1 \ --pull-tool podman Push the updated index image: USD podman push <registry>/<namespace>/<existing_index_image>:<updated_tag> After Operator Lifecycle Manager (OLM) automatically polls the index image referenced in the catalog source at its regular interval, verify that the new packages are successfully added: USD oc get packagemanifests -n openshift-marketplace 4.7.3.3. Filtering a SQLite-based index image An index image, based on the Operator bundle format, is a containerized snapshot of an Operator catalog. You can filter, or prune , an index of all but a specified list of packages, which creates a copy of the source index containing only the Operators that you want. Prerequisites You have podman version 1.9.3+. You have grpcurl (third-party command-line tool). You have installed the opm CLI. You have access to a registry that supports Docker v2-2 . Procedure Authenticate with your target registry: USD podman login <target_registry> Determine the list of packages you want to include in your pruned index. Run the source index image that you want to prune in a container. For example: USD podman run -p50051:50051 \ -it registry.redhat.io/redhat/redhat-operator-index:v4 Example output Trying to pull registry.redhat.io/redhat/redhat-operator-index:v4... Getting image source signatures Copying blob ae8a0c23f5b1 done ... INFO[0000] serving registry database=/database/index.db port=50051 In a separate terminal session, use the grpcurl command to get a list of the packages provided by the index: USD grpcurl -plaintext localhost:50051 api.Registry/ListPackages > packages.out Inspect the packages.out file and identify which package names from this list you want to keep in your pruned index. For example: Example snippets of packages list ... { "name": "advanced-cluster-management" } ... { "name": "jaeger-product" } ... { { "name": "quay-operator" } ... In the terminal session where you executed the podman run command, press Ctrl and C to stop the container process. Run the following command to prune the source index of all but the specified packages: USD opm index prune \ -f registry.redhat.io/redhat/redhat-operator-index:v4 \ 1 -p advanced-cluster-management,jaeger-product,quay-operator \ 2 [-i registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4] \ 3 -t <target_registry>:<port>/<namespace>/redhat-operator-index:v4 4 1 Index to prune. 2 Comma-separated list of packages to keep. 3 Required only for IBM Power(R) and IBM Z(R) images: Operator Registry base image with the tag that matches the target Red Hat OpenShift Service on AWS cluster major and minor version. 4 Custom tag for new index image being built. Run the following command to push the new index image to your target registry: USD podman push <target_registry>:<port>/<namespace>/redhat-operator-index:v4 where <namespace> is any existing namespace on the registry. 4.7.4. Catalog sources and pod security admission Pod security admission was introduced in Red Hat OpenShift Service on AWS 4.11 to ensure pod security standards. Catalog sources built using the SQLite-based catalog format and a version of the opm CLI tool released before Red Hat OpenShift Service on AWS 4.11 cannot run under restricted pod security enforcement. In Red Hat OpenShift Service on AWS 4, namespaces do not have restricted pod security enforcement by default and the default catalog source security mode is set to legacy . Default restricted enforcement for all namespaces is planned for inclusion in a future Red Hat OpenShift Service on AWS release. When restricted enforcement occurs, the security context of the pod specification for catalog source pods must match the restricted pod security standard. If your catalog source image requires a different pod security standard, the pod security admissions label for the namespace must be explicitly set. Note If you do not want to run your SQLite-based catalog source pods as restricted, you do not need to update your catalog source in Red Hat OpenShift Service on AWS 4. However, it is recommended that you take action now to ensure your catalog sources run under restricted pod security enforcement. If you do not take action to ensure your catalog sources run under restricted pod security enforcement, your catalog sources might not run in future Red Hat OpenShift Service on AWS releases. As a catalog author, you can enable compatibility with restricted pod security enforcement by completing either of the following actions: Migrate your catalog to the file-based catalog format. Update your catalog image with a version of the opm CLI tool released with Red Hat OpenShift Service on AWS 4.11 or later. Note The SQLite database catalog format is deprecated, but still supported by Red Hat. In a future release, the SQLite database format will not be supported, and catalogs will need to migrate to the file-based catalog format. As of Red Hat OpenShift Service on AWS 4.11, the default Red Hat-provided Operator catalog is released in the file-based catalog format. File-based catalogs are compatible with restricted pod security enforcement. If you do not want to update your SQLite database catalog image or migrate your catalog to the file-based catalog format, you can configure your catalog to run with elevated permissions. Additional resources Understanding and managing pod security admission 4.7.4.1. Migrating SQLite database catalogs to the file-based catalog format You can update your deprecated SQLite database format catalogs to the file-based catalog format. Prerequisites You have a SQLite database catalog source. You have access to the cluster as a user with the dedicated-admin role. You have the latest version of the opm CLI tool released with Red Hat OpenShift Service on AWS 4 on your workstation. Procedure Migrate your SQLite database catalog to a file-based catalog by running the following command: USD opm migrate <registry_image> <fbc_directory> Generate a Dockerfile for your file-based catalog by running the following command: USD opm generate dockerfile <fbc_directory> \ --binary-image \ registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4 steps The generated Dockerfile can be built, tagged, and pushed to your registry. Additional resources Adding a catalog source to a cluster 4.7.4.2. Rebuilding SQLite database catalog images You can rebuild your SQLite database catalog image with the latest version of the opm CLI tool that is released with your version of Red Hat OpenShift Service on AWS. Prerequisites You have a SQLite database catalog source. You have access to the cluster as a user with the dedicated-admin role. You have the latest version of the opm CLI tool released with Red Hat OpenShift Service on AWS 4 on your workstation. Procedure Run the following command to rebuild your catalog with a more recent version of the opm CLI tool: USD opm index add --binary-image \ registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4 \ --from-index <your_registry_image> \ --bundles "" -t \<your_registry_image> 4.7.4.3. Configuring catalogs to run with elevated permissions If you do not want to update your SQLite database catalog image or migrate your catalog to the file-based catalog format, you can perform the following actions to ensure your catalog source runs when the default pod security enforcement changes to restricted: Manually set the catalog security mode to legacy in your catalog source definition. This action ensures your catalog runs with legacy permissions even if the default catalog security mode changes to restricted. Label the catalog source namespace for baseline or privileged pod security enforcement. Note The SQLite database catalog format is deprecated, but still supported by Red Hat. In a future release, the SQLite database format will not be supported, and catalogs will need to migrate to the file-based catalog format. File-based catalogs are compatible with restricted pod security enforcement. Prerequisites You have a SQLite database catalog source. You have access to the cluster as a user with the dedicated-admin role. You have a target namespace that supports running pods with the elevated pod security admission standard of baseline or privileged . Procedure Edit the CatalogSource definition by setting the spec.grpcPodConfig.securityContextConfig label to legacy , as shown in the following example: Example CatalogSource definition apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: my-catsrc namespace: my-ns spec: sourceType: grpc grpcPodConfig: securityContextConfig: legacy image: my-image:latest Tip In Red Hat OpenShift Service on AWS 4, the spec.grpcPodConfig.securityContextConfig field is set to legacy by default. In a future release of Red Hat OpenShift Service on AWS, it is planned that the default setting will change to restricted . If your catalog cannot run under restricted enforcement, it is recommended that you manually set this field to legacy . Edit your <namespace>.yaml file to add elevated pod security admission standards to your catalog source namespace, as shown in the following example: Example <namespace>.yaml file apiVersion: v1 kind: Namespace metadata: ... labels: security.openshift.io/scc.podSecurityLabelSync: "false" 1 openshift.io/cluster-monitoring: "true" pod-security.kubernetes.io/enforce: baseline 2 name: "<namespace_name>" 1 Turn off pod security label synchronization by adding the security.openshift.io/scc.podSecurityLabelSync=false label to the namespace. 2 Apply the pod security admission pod-security.kubernetes.io/enforce label. Set the label to baseline or privileged . Use the baseline pod security profile unless other workloads in the namespace require a privileged profile. 4.7.5. Adding a catalog source to a cluster Adding a catalog source to an Red Hat OpenShift Service on AWS cluster enables the discovery and installation of Operators for users. Administrators with the dedicated-admin role can create a CatalogSource object that references an index image. OperatorHub uses catalog sources to populate the user interface. Tip Alternatively, you can use the web console to manage catalog sources. From the Home Search page, select a project, click the Resources drop-down and search for CatalogSource . You can create, update, delete, disable, and enable individual sources. Prerequisites You built and pushed an index image to a registry. You have access to the cluster as a user with the dedicated-admin role. Procedure Create a CatalogSource object that references your index image. Modify the following to your specifications and save it as a catalogSource.yaml file: apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: my-operator-catalog namespace: openshift-marketplace 1 annotations: olm.catalogImageTemplate: 2 "<registry>/<namespace>/<index_image_name>:v{kube_major_version}.{kube_minor_version}.{kube_patch_version}" spec: sourceType: grpc grpcPodConfig: securityContextConfig: <security_mode> 3 image: <registry>/<namespace>/<index_image_name>:<tag> 4 displayName: My Operator Catalog publisher: <publisher_name> 5 updateStrategy: registryPoll: 6 interval: 30m 1 If you want the catalog source to be available globally to users in all namespaces, specify the openshift-marketplace namespace. Otherwise, you can specify a different namespace for the catalog to be scoped and available only for that namespace. 2 Optional: Set the olm.catalogImageTemplate annotation to your index image name and use one or more of the Kubernetes cluster version variables as shown when constructing the template for the image tag. 3 Specify the value of legacy or restricted . If the field is not set, the default value is legacy . In a future Red Hat OpenShift Service on AWS release, it is planned that the default value will be restricted . If your catalog cannot run with restricted permissions, it is recommended that you manually set this field to legacy . 4 Specify your index image. If you specify a tag after the image name, for example :v4 , the catalog source pod uses an image pull policy of Always , meaning the pod always pulls the image prior to starting the container. If you specify a digest, for example @sha256:<id> , the image pull policy is IfNotPresent , meaning the pod pulls the image only if it does not already exist on the node. 5 Specify your name or an organization name publishing the catalog. 6 Catalog sources can automatically check for new versions to keep up to date. Use the file to create the CatalogSource object: USD oc apply -f catalogSource.yaml Verify the following resources are created successfully. Check the pods: USD oc get pods -n openshift-marketplace Example output NAME READY STATUS RESTARTS AGE my-operator-catalog-6njx6 1/1 Running 0 28s marketplace-operator-d9f549946-96sgr 1/1 Running 0 26h Check the catalog source: USD oc get catalogsource -n openshift-marketplace Example output NAME DISPLAY TYPE PUBLISHER AGE my-operator-catalog My Operator Catalog grpc 5s Check the package manifest: USD oc get packagemanifest -n openshift-marketplace Example output NAME CATALOG AGE jaeger-product My Operator Catalog 93s You can now install the Operators from the OperatorHub page on your Red Hat OpenShift Service on AWS web console. Additional resources Operator Lifecycle Manager concepts and resources Catalog source 4.7.6. Removing custom catalogs As an administrator with the dedicated-admin role, you can remove custom Operator catalogs that have been previously added to your cluster by deleting the related catalog source. Prerequisites You have access to the cluster as a user with the dedicated-admin role. Procedure In the Administrator perspective of the web console, navigate to Home Search . Select a project from the Project: list. Select CatalogSource from the Resources list. Select the Options menu for the catalog that you want to remove, and then click Delete CatalogSource . 4.8. Catalog source pod scheduling When an Operator Lifecycle Manager (OLM) catalog source of source type grpc defines a spec.image , the Catalog Operator creates a pod that serves the defined image content. By default, this pod defines the following in its specification: Only the kubernetes.io/os=linux node selector. The default priority class name: system-cluster-critical . No tolerations. As an administrator, you can override these values by modifying fields in the CatalogSource object's optional spec.grpcPodConfig section. Important The Marketplace Operator, openshift-marketplace , manages the default OperatorHub custom resource's (CR). This CR manages CatalogSource objects. If you attempt to modify fields in the CatalogSource object's spec.grpcPodConfig section, the Marketplace Operator automatically reverts these modifications.By default, if you modify fields in the spec.grpcPodConfig section of the CatalogSource object, the Marketplace Operator automatically reverts these changes. To apply persistent changes to CatalogSource object, you must first disable a default CatalogSource object. Additional resources OLM concepts and resources Catalog source 4.8.1. Disabling default CatalogSource objects at a local level You can apply persistent changes to a CatalogSource object, such as catalog source pods, at a local level, by disabling a default CatalogSource object. Consider the default configuration in situations where the default CatalogSource object's configuration does not meet your organization's needs. By default, if you modify fields in the spec.grpcPodConfig section of the CatalogSource object, the Marketplace Operator automatically reverts these changes. The Marketplace Operator, openshift-marketplace , manages the default custom resources (CRs) of the OperatorHub . The OperatorHub manages CatalogSource objects. To apply persistent changes to CatalogSource object, you must first disable a default CatalogSource object. Procedure To disable all the default CatalogSource objects at a local level, enter the following command: USD oc patch operatorhub cluster -p '{"spec": {"disableAllDefaultSources": true}}' --type=merge Note You can also configure the default OperatorHub CR to either disable all CatalogSource objects or disable a specific object. Additional resources OperatorHub custom resource 4.8.2. Overriding the node selector for catalog source pods Prerequisites A CatalogSource object of source type grpc with spec.image is defined. You have access to the cluster as a user with the dedicated-admin role. Procedure Edit the CatalogSource object and add or modify the spec.grpcPodConfig section to include the following: grpcPodConfig: nodeSelector: custom_label: <label> where <label> is the label for the node selector that you want catalog source pods to use for scheduling. Additional resources Placing pods on specific nodes using node selectors 4.8.3. Overriding the priority class name for catalog source pods Prerequisites A CatalogSource object of source type grpc with spec.image is defined. You have access to the cluster as a user with the dedicated-admin role. Procedure Edit the CatalogSource object and add or modify the spec.grpcPodConfig section to include the following: grpcPodConfig: priorityClassName: <priority_class> where <priority_class> is one of the following: One of the default priority classes provided by Kubernetes: system-cluster-critical or system-node-critical An empty set ( "" ) to assign the default priority A pre-existing and custom defined priority class Note Previously, the only pod scheduling parameter that could be overriden was priorityClassName . This was done by adding the operatorframework.io/priorityclass annotation to the CatalogSource object. For example: apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: example-catalog namespace: openshift-marketplace annotations: operatorframework.io/priorityclass: system-cluster-critical If a CatalogSource object defines both the annotation and spec.grpcPodConfig.priorityClassName , the annotation takes precedence over the configuration parameter. Additional resources Pod priority classes 4.8.4. Overriding tolerations for catalog source pods Prerequisites A CatalogSource object of source type grpc with spec.image is defined. You have access to the cluster as a user with the dedicated-admin role. Procedure Edit the CatalogSource object and add or modify the spec.grpcPodConfig section to include the following: grpcPodConfig: tolerations: - key: "<key_name>" operator: "<operator_type>" value: "<value>" effect: "<effect>" 4.9. Troubleshooting Operator issues If you experience Operator issues, verify Operator subscription status. Check Operator pod health across the cluster and gather Operator logs for diagnosis. 4.9.1. Operator subscription condition types Subscriptions can report the following condition types: Table 4.2. Subscription condition types Condition Description CatalogSourcesUnhealthy Some or all of the catalog sources to be used in resolution are unhealthy. InstallPlanMissing An install plan for a subscription is missing. InstallPlanPending An install plan for a subscription is pending installation. InstallPlanFailed An install plan for a subscription has failed. ResolutionFailed The dependency resolution for a subscription has failed. Note Default Red Hat OpenShift Service on AWS cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object. Additional resources Catalog health requirements 4.9.2. Viewing Operator subscription status by using the CLI You can view Operator subscription status by using the CLI. Prerequisites You have access to the cluster as a user with the dedicated-admin role. You have installed the OpenShift CLI ( oc ). Procedure List Operator subscriptions: USD oc get subs -n <operator_namespace> Use the oc describe command to inspect a Subscription resource: USD oc describe sub <subscription_name> -n <operator_namespace> In the command output, find the Conditions section for the status of Operator subscription condition types. In the following example, the CatalogSourcesUnhealthy condition type has a status of false because all available catalog sources are healthy: Example output Name: cluster-logging Namespace: openshift-logging Labels: operators.coreos.com/cluster-logging.openshift-logging= Annotations: <none> API Version: operators.coreos.com/v1alpha1 Kind: Subscription # ... Conditions: Last Transition Time: 2019-07-29T13:42:57Z Message: all available catalogsources are healthy Reason: AllCatalogSourcesHealthy Status: False Type: CatalogSourcesUnhealthy # ... Note Default Red Hat OpenShift Service on AWS cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object. 4.9.3. Viewing Operator catalog source status by using the CLI You can view the status of an Operator catalog source by using the CLI. Prerequisites You have access to the cluster as a user with the dedicated-admin role. You have installed the OpenShift CLI ( oc ). Procedure List the catalog sources in a namespace. For example, you can check the openshift-marketplace namespace, which is used for cluster-wide catalog sources: USD oc get catalogsources -n openshift-marketplace Example output NAME DISPLAY TYPE PUBLISHER AGE certified-operators Certified Operators grpc Red Hat 55m community-operators Community Operators grpc Red Hat 55m example-catalog Example Catalog grpc Example Org 2m25s redhat-marketplace Red Hat Marketplace grpc Red Hat 55m redhat-operators Red Hat Operators grpc Red Hat 55m Use the oc describe command to get more details and status about a catalog source: USD oc describe catalogsource example-catalog -n openshift-marketplace Example output Name: example-catalog Namespace: openshift-marketplace Labels: <none> Annotations: operatorframework.io/managed-by: marketplace-operator target.workload.openshift.io/management: {"effect": "PreferredDuringScheduling"} API Version: operators.coreos.com/v1alpha1 Kind: CatalogSource # ... Status: Connection State: Address: example-catalog.openshift-marketplace.svc:50051 Last Connect: 2021-09-09T17:07:35Z Last Observed State: TRANSIENT_FAILURE Registry Service: Created At: 2021-09-09T17:05:45Z Port: 50051 Protocol: grpc Service Name: example-catalog Service Namespace: openshift-marketplace # ... In the preceding example output, the last observed state is TRANSIENT_FAILURE . This state indicates that there is a problem establishing a connection for the catalog source. List the pods in the namespace where your catalog source was created: USD oc get pods -n openshift-marketplace Example output NAME READY STATUS RESTARTS AGE certified-operators-cv9nn 1/1 Running 0 36m community-operators-6v8lp 1/1 Running 0 36m marketplace-operator-86bfc75f9b-jkgbc 1/1 Running 0 42m example-catalog-bwt8z 0/1 ImagePullBackOff 0 3m55s redhat-marketplace-57p8c 1/1 Running 0 36m redhat-operators-smxx8 1/1 Running 0 36m When a catalog source is created in a namespace, a pod for the catalog source is created in that namespace. In the preceding example output, the status for the example-catalog-bwt8z pod is ImagePullBackOff . This status indicates that there is an issue pulling the catalog source's index image. Use the oc describe command to inspect a pod for more detailed information: USD oc describe pod example-catalog-bwt8z -n openshift-marketplace Example output Name: example-catalog-bwt8z Namespace: openshift-marketplace Priority: 0 Node: ci-ln-jyryyg2-f76d1-ggdbq-worker-b-vsxjd/10.0.128.2 ... Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 48s default-scheduler Successfully assigned openshift-marketplace/example-catalog-bwt8z to ci-ln-jyryyf2-f76d1-fgdbq-worker-b-vsxjd Normal AddedInterface 47s multus Add eth0 [10.131.0.40/23] from openshift-sdn Normal BackOff 20s (x2 over 46s) kubelet Back-off pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 20s (x2 over 46s) kubelet Error: ImagePullBackOff Normal Pulling 8s (x3 over 47s) kubelet Pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 8s (x3 over 47s) kubelet Failed to pull image "quay.io/example-org/example-catalog:v1": rpc error: code = Unknown desc = reading manifest v1 in quay.io/example-org/example-catalog: unauthorized: access to the requested resource is not authorized Warning Failed 8s (x3 over 47s) kubelet Error: ErrImagePull In the preceding example output, the error messages indicate that the catalog source's index image is failing to pull successfully because of an authorization issue. For example, the index image might be stored in a registry that requires login credentials. Additional resources gRPC documentation: States of Connectivity 4.9.4. Querying Operator pod status You can list Operator pods within a cluster and their status. You can also collect a detailed Operator pod summary. Prerequisites You have access to the cluster as a user with the dedicated-admin role. Your API service is still functional. You have installed the OpenShift CLI ( oc ). Procedure List Operators running in the cluster. The output includes Operator version, availability, and up-time information: USD oc get clusteroperators List Operator pods running in the Operator's namespace, plus pod status, restarts, and age: USD oc get pod -n <operator_namespace> Output a detailed Operator pod summary: USD oc describe pod <operator_pod_name> -n <operator_namespace> 4.9.5. Gathering Operator logs If you experience Operator issues, you can gather detailed diagnostic information from Operator pod logs. Prerequisites You have access to the cluster as a user with the dedicated-admin role. Your API service is still functional. You have installed the OpenShift CLI ( oc ). You have the fully qualified domain names of the control plane or control plane machines. Procedure List the Operator pods that are running in the Operator's namespace, plus the pod status, restarts, and age: USD oc get pods -n <operator_namespace> Review logs for an Operator pod: USD oc logs pod/<pod_name> -n <operator_namespace> If an Operator pod has multiple containers, the preceding command will produce an error that includes the name of each container. Query logs from an individual container: USD oc logs pod/<operator_pod_name> -c <container_name> -n <operator_namespace> If the API is not functional, review Operator pod and container logs on each control plane node by using SSH instead. Replace <master-node>.<cluster_name>.<base_domain> with appropriate values. List pods on each control plane node: USD ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl pods For any Operator pods not showing a Ready status, inspect the pod's status in detail. Replace <operator_pod_id> with the Operator pod's ID listed in the output of the preceding command: USD ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspectp <operator_pod_id> List containers related to an Operator pod: USD ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl ps --pod=<operator_pod_id> For any Operator container not showing a Ready status, inspect the container's status in detail. Replace <container_id> with a container ID listed in the output of the preceding command: USD ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspect <container_id> Review the logs for any Operator containers not showing a Ready status. Replace <container_id> with a container ID listed in the output of the preceding command: USD ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl logs -f <container_id> Note Red Hat OpenShift Service on AWS 4 cluster nodes running Red Hat Enterprise Linux CoreOS (RHCOS) are immutable and rely on Operators to apply cluster changes. Accessing cluster nodes by using SSH is not recommended. Before attempting to collect diagnostic data over SSH, review whether the data collected by running oc adm must gather and other oc commands is sufficient instead. However, if the Red Hat OpenShift Service on AWS API is not available, or the kubelet is not properly functioning on the target node, oc operations will be impacted. In such situations, it is possible to access nodes using ssh core@<node>.<cluster_name>.<base_domain> .

Commands:
oc get packagemanifests -n openshift-marketplace
NAME CATALOG AGE 3scale-operator Red Hat Operators 91m advanced-cluster-management Red Hat Operators 91m amq7-cert-manager Red Hat Operators 91m couchbase-enterprise-certified Certified Operators 91m crunchy-postgres-operator Certified Operators 91m mongodb-enterprise Certified Operators 91m etcd Community Operators 91m jaeger Community Operators 91m kubefed Community Operators 91m
oc describe packagemanifests <operator_name> -n openshift-marketplace
Kind: PackageManifest Install Modes: 1 Supported: true Type: OwnNamespace Supported: true Type: SingleNamespace Supported: false Type: MultiNamespace Supported: true Type: AllNamespaces Entries: Name: example-operator.v3.7.11 Version: 3.7.11 Name: example-operator.v3.7.10 Version: 3.7.10 Name: stable-3.7 2 Entries: Name: example-operator.v3.8.5 Version: 3.8.5 Name: example-operator.v3.8.4 Version: 3.8.4 Name: stable-3.8 3 Default Channel: stable-3.8 4
oc get packagemanifests <operator_name> -n <catalog_namespace> -o yaml
oc get packagemanifest --selector=catalog=<catalogsource_name> --field-selector metadata.name=<operator_name> -n <catalog_namespace> -o yaml
apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: <operatorgroup_name> namespace: <namespace> 1 spec: targetNamespaces: - <namespace> 2
oc apply -f operatorgroup.yaml
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: <subscription_name> namespace: <namespace_per_install_mode> 1 spec: channel: <channel_name> 2 name: <operator_name> 3 source: <catalog_name> 4 sourceNamespace: <catalog_source_namespace> 5 config: env: 6 - name: ARGS value: "-v=10" envFrom: 7 - secretRef: name: license-secret volumes: 8 - name: <volume_name> configMap: name: <configmap_name> volumeMounts: 9 - mountPath: <directory_name> name: <volume_name> tolerations: 10 - operator: "Exists" resources: 11 requests: memory: "64Mi" cpu: "250m" limits: memory: "128Mi" cpu: "500m" nodeSelector: 12 foo: bar
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: example-operator namespace: example-operator spec: channel: stable-3.7 installPlanApproval: Manual 1 name: example-operator source: custom-operators sourceNamespace: openshift-marketplace startingCSV: example-operator.v3.7.10 2
kind: Subscription spec: installPlanApproval: Manual 1
kind: Subscription spec: config: env: - name: ROLEARN value: "<role_arn>" 1
kind: Subscription spec: config: env: - name: CLIENTID value: "<client_id>" 1 - name: TENANTID value: "<tenant_id>" 2 - name: SUBSCRIPTIONID value: "<subscription_id>" 3
kind: Subscription spec: config: env: - name: AUDIENCE value: "<audience_url>" 1 - name: SERVICE_ACCOUNT_EMAIL value: "<service_account_email>" 2
//iam.googleapis.com/projects/<project_number>/locations/global/workloadIdentityPools/<pool_id>/providers/<provider_id>
<service_account_name>@<project_id>.iam.gserviceaccount.com
oc apply -f subscription.yaml
oc describe subscription <subscription_name> -n <namespace>
oc describe operatorgroup <operatorgroup_name> -n <namespace>
oc new-project team1-operator
apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: team1-operatorgroup namespace: team1-operator spec: targetNamespaces: - team1 1
oc create -f team1-operatorgroup.yaml
oc new-project global-operators
apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: global-operatorgroup namespace: global-operators
oc create -f global-operatorgroup.yaml
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: nodeAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/hostname operator: In values: - ip-10-0-163-94.us-west-2.compute.internal #
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: nodeAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/arch operator: In values: - arm64 - key: kubernetes.io/os operator: In values: - linux #
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: podAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: app operator: In values: - test topologyKey: kubernetes.io/hostname #
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: podAntiAffinity: 1 requiredDuringSchedulingIgnoredDuringExecution: - labelSelector: matchExpressions: - key: cpu operator: In values: - high topologyKey: kubernetes.io/hostname #
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: openshift-custom-metrics-autoscaler-operator namespace: openshift-keda spec: name: my-package source: my-operators sourceNamespace: operator-registries config: affinity: 1 nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/hostname operator: In values: - ip-10-0-185-229.ec2.internal #
oc get pods -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES custom-metrics-autoscaler-operator-5dcc45d656-bhshg 1/1 Running 0 50s 10.131.0.20 ip-10-0-185-229.ec2.internal <none> <none>
oc get subscription.operators.coreos.com serverless-operator -n openshift-serverless -o yaml | grep currentCSV
currentCSV: serverless-operator.v1.28.0
oc delete subscription.operators.coreos.com serverless-operator -n openshift-serverless
subscription.operators.coreos.com "serverless-operator" deleted
oc delete clusterserviceversion serverless-operator.v1.28.0 -n openshift-serverless
clusterserviceversion.operators.coreos.com "serverless-operator.v1.28.0" deleted
ImagePullBackOff for Back-off pulling image "example.com/openshift4/ose-elasticsearch-operator-bundle@sha256:6d2587129c846ec28d384540322b40b05833e7e00b25cca584e004af9a1d292e"
rpc error: code = Unknown desc = error pinging docker registry example.com: Get "https://example.com/v2/": dial tcp: lookup example.com on 10.0.0.1:53: no such host
oc get sub,csv -n <namespace>
NAME PACKAGE SOURCE CHANNEL subscription.operators.coreos.com/elasticsearch-operator elasticsearch-operator redhat-operators 5.0 NAME DISPLAY VERSION REPLACES PHASE clusterserviceversion.operators.coreos.com/elasticsearch-operator.5.0.0-65 OpenShift Elasticsearch Operator 5.0.0-65 Succeeded
oc delete subscription <subscription_name> -n <namespace>
oc delete csv <csv_name> -n <namespace>
oc get job,configmap -n openshift-marketplace
NAME COMPLETIONS DURATION AGE job.batch/1de9443b6324e629ddf31fed0a853a121275806170e34c926d69e53a7fcbccb 1/1 26s 9m30s NAME DATA AGE configmap/1de9443b6324e629ddf31fed0a853a121275806170e34c926d69e53a7fcbccb 3 9m30s
oc delete job <job_name> -n openshift-marketplace
oc delete configmap <configmap_name> -n openshift-marketplace
oc get sub,csv,installplan -n <namespace>
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: etcd-config-test namespace: openshift-operators spec: config: env: - name: HTTP_PROXY value: test_http - name: HTTPS_PROXY value: test_https - name: NO_PROXY value: test channel: clusterwide-alpha installPlanApproval: Automatic name: etcd source: community-operators sourceNamespace: openshift-marketplace startingCSV: etcdoperator.v0.9.4-clusterwide
oc get deployment -n openshift-operators etcd-operator -o yaml | grep -i "PROXY" -A 2
- name: HTTP_PROXY value: test_http - name: HTTPS_PROXY value: test_https - name: NO_PROXY value: test image: quay.io/coreos/etcd-operator@sha256:66a37fd61a06a43969854ee6d3e21088a98b93838e284a6086b13917f96b0d9c
apiVersion: v1 kind: ConfigMap metadata: name: trusted-ca 1 labels: config.openshift.io/inject-trusted-cabundle: "true" 2
apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: my-operator spec: package: etcd channel: alpha config: 1 selector: matchLabels: <labels_for_pods> 2 volumes: 3 - name: trusted-ca configMap: name: trusted-ca items: - key: ca-bundle.crt 4 path: tls-ca-bundle.pem 5 volumeMounts: 6 - name: trusted-ca mountPath: /etc/pki/ca-trust/extracted/pem readOnly: true
oc get subs -n <operator_namespace>
oc describe sub <subscription_name> -n <operator_namespace>
Name: cluster-logging Namespace: openshift-logging Labels: operators.coreos.com/cluster-logging.openshift-logging= Annotations: <none> API Version: operators.coreos.com/v1alpha1 Kind: Subscription Conditions: Last Transition Time: 2019-07-29T13:42:57Z Message: all available catalogsources are healthy Reason: AllCatalogSourcesHealthy Status: False Type: CatalogSourcesUnhealthy
oc get catalogsources -n openshift-marketplace
NAME DISPLAY TYPE PUBLISHER AGE certified-operators Certified Operators grpc Red Hat 55m community-operators Community Operators grpc Red Hat 55m example-catalog Example Catalog grpc Example Org 2m25s redhat-marketplace Red Hat Marketplace grpc Red Hat 55m redhat-operators Red Hat Operators grpc Red Hat 55m
oc describe catalogsource example-catalog -n openshift-marketplace
Name: example-catalog Namespace: openshift-marketplace Labels: <none> Annotations: operatorframework.io/managed-by: marketplace-operator target.workload.openshift.io/management: {"effect": "PreferredDuringScheduling"} API Version: operators.coreos.com/v1alpha1 Kind: CatalogSource Status: Connection State: Address: example-catalog.openshift-marketplace.svc:50051 Last Connect: 2021-09-09T17:07:35Z Last Observed State: TRANSIENT_FAILURE Registry Service: Created At: 2021-09-09T17:05:45Z Port: 50051 Protocol: grpc Service Name: example-catalog Service Namespace: openshift-marketplace
oc get pods -n openshift-marketplace
NAME READY STATUS RESTARTS AGE certified-operators-cv9nn 1/1 Running 0 36m community-operators-6v8lp 1/1 Running 0 36m marketplace-operator-86bfc75f9b-jkgbc 1/1 Running 0 42m example-catalog-bwt8z 0/1 ImagePullBackOff 0 3m55s redhat-marketplace-57p8c 1/1 Running 0 36m redhat-operators-smxx8 1/1 Running 0 36m
oc describe pod example-catalog-bwt8z -n openshift-marketplace
Name: example-catalog-bwt8z Namespace: openshift-marketplace Priority: 0 Node: ci-ln-jyryyg2-f76d1-ggdbq-worker-b-vsxjd/10.0.128.2 Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 48s default-scheduler Successfully assigned openshift-marketplace/example-catalog-bwt8z to ci-ln-jyryyf2-f76d1-fgdbq-worker-b-vsxjd Normal AddedInterface 47s multus Add eth0 [10.131.0.40/23] from openshift-sdn Normal BackOff 20s (x2 over 46s) kubelet Back-off pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 20s (x2 over 46s) kubelet Error: ImagePullBackOff Normal Pulling 8s (x3 over 47s) kubelet Pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 8s (x3 over 47s) kubelet Failed to pull image "quay.io/example-org/example-catalog:v1": rpc error: code = Unknown desc = reading manifest v1 in quay.io/example-org/example-catalog: unauthorized: access to the requested resource is not authorized Warning Failed 8s (x3 over 47s) kubelet Error: ErrImagePull
oc edit operatorcondition <name>
apiVersion: operators.coreos.com/v2 kind: OperatorCondition metadata: name: my-operator namespace: operators spec: overrides: - type: Upgradeable 1 status: "True" reason: "upgradeIsSafe" message: "This is a known issue with the Operator where it always reports that it cannot be upgraded." conditions: - type: Upgradeable status: "False" reason: "migration" message: "The operator is performing a migration." lastTransitionTime: "2020-08-24T23:15:55Z"
mkdir <catalog_dir>
opm generate dockerfile <catalog_dir> -i registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4 1
. 1 ├── <catalog_dir> 2 └── <catalog_dir>.Dockerfile 3
opm init <operator_name> \ 1 --default-channel=preview \ 2 --description=./README.md \ 3 --icon=./operator-icon.svg \ 4 --output yaml \ 5 > <catalog_dir>/index.yaml 6
opm render <registry>/<namespace>/<bundle_image_name>:<tag> \ 1 --output=yaml >> <catalog_dir>/index.yaml 2
--- schema: olm.channel package: <operator_name> name: preview entries: - name: <operator_name>.v0.1.0 1
opm validate <catalog_dir>
echo USD?
0
podman build . -f <catalog_dir>.Dockerfile -t <registry>/<namespace>/<catalog_image_name>:<tag>
podman login <registry>
podman push <registry>/<namespace>/<catalog_image_name>:<tag>
opm render <registry>/<namespace>/<catalog_image_name>:<tag> -o yaml > <catalog_dir>/index.yaml
--- defaultChannel: release-2.7 icon: base64data: <base64_string> mediatype: image/svg+xml name: example-operator schema: olm.package --- entries: - name: example-operator.v2.7.0 skipRange: '>=2.6.0 <2.7.0' - name: example-operator.v2.7.1 replaces: example-operator.v2.7.0 skipRange: '>=2.6.0 <2.7.1' - name: example-operator.v2.7.2 replaces: example-operator.v2.7.1 skipRange: '>=2.6.0 <2.7.2' - name: example-operator.v2.7.3 replaces: example-operator.v2.7.2 skipRange: '>=2.6.0 <2.7.3' - name: example-operator.v2.7.4 replaces: example-operator.v2.7.3 skipRange: '>=2.6.0 <2.7.4' name: release-2.7 package: example-operator schema: olm.channel --- image: example.com/example-inc/example-operator-bundle@sha256:<digest> name: example-operator.v2.7.0 package: example-operator properties: - type: olm.gvk value: group: example-group.example.io kind: MyObject version: v1alpha1 - type: olm.gvk value: group: example-group.example.io kind: MyOtherObject version: v1beta1 - type: olm.package value: packageName: example-operator version: 2.7.0 - type: olm.bundle.object value: data: <base64_string> - type: olm.bundle.object value: data: <base64_string> relatedImages: - image: example.com/example-inc/example-related-image@sha256:<digest> name: example-related-image schema: olm.bundle ---
opm validate <catalog_dir>
podman build . -f <catalog_dir>.Dockerfile -t <registry>/<namespace>/<catalog_image_name>:<tag>
podman push <registry>/<namespace>/<catalog_image_name>:<tag>
opm index add --bundles <registry>/<namespace>/<bundle_image_name>:<tag> \ 1 --tag <registry>/<namespace>/<index_image_name>:<tag> \ 2 [--binary-image <registry_base_image>] 3
podman login <registry>
podman push <registry>/<namespace>/<index_image_name>:<tag>
opm index add --bundles <registry>/<namespace>/<new_bundle_image>@sha256:<digest> \ 1 --from-index <registry>/<namespace>/<existing_index_image>:<existing_tag> \ 2 --tag <registry>/<namespace>/<existing_index_image>:<updated_tag> \ 3 --pull-tool podman 4
opm index add --bundles quay.io/ocs-dev/ocs-operator@sha256:c7f11097a628f092d8bad148406aa0e0951094a03445fd4bc0775431ef683a41 --from-index mirror.example.com/abc/abc-redhat-operator-index:4 --tag mirror.example.com/abc/abc-redhat-operator-index:4.1 --pull-tool podman
podman push <registry>/<namespace>/<existing_index_image>:<updated_tag>
oc get packagemanifests -n openshift-marketplace
podman login <target_registry>
podman run -p50051:50051 -it registry.redhat.io/redhat/redhat-operator-index:v4
Trying to pull registry.redhat.io/redhat/redhat-operator-index:v4 Getting image source signatures Copying blob ae8a0c23f5b1 done INFO[0000] serving registry database=/database/index.db port=50051
grpcurl -plaintext localhost:50051 api.Registry/ListPackages > packages.out
{ "name": "advanced-cluster-management" } { "name": "jaeger-product" } { { "name": "quay-operator" }
opm index prune -f registry.redhat.io/redhat/redhat-operator-index:v4 \ 1 -p advanced-cluster-management,jaeger-product,quay-operator \ 2 [-i registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4] \ 3 -t <target_registry>:<port>/<namespace>/redhat-operator-index:v4 4
podman push <target_registry>:<port>/<namespace>/redhat-operator-index:v4
opm migrate <registry_image> <fbc_directory>
opm generate dockerfile <fbc_directory> --binary-image registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4
opm index add --binary-image registry.redhat.io/openshift4/ose-operator-registry-rhel9:v4 --from-index <your_registry_image> --bundles "" -t \<your_registry_image>
apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: my-catsrc namespace: my-ns spec: sourceType: grpc grpcPodConfig: securityContextConfig: legacy image: my-image:latest
apiVersion: v1 kind: Namespace metadata: labels: security.openshift.io/scc.podSecurityLabelSync: "false" 1 openshift.io/cluster-monitoring: "true" pod-security.kubernetes.io/enforce: baseline 2 name: "<namespace_name>"
apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: my-operator-catalog namespace: openshift-marketplace 1 annotations: olm.catalogImageTemplate: 2 "<registry>/<namespace>/<index_image_name>:v{kube_major_version}.{kube_minor_version}.{kube_patch_version}" spec: sourceType: grpc grpcPodConfig: securityContextConfig: <security_mode> 3 image: <registry>/<namespace>/<index_image_name>:<tag> 4 displayName: My Operator Catalog publisher: <publisher_name> 5 updateStrategy: registryPoll: 6 interval: 30m
oc apply -f catalogSource.yaml
oc get pods -n openshift-marketplace
NAME READY STATUS RESTARTS AGE my-operator-catalog-6njx6 1/1 Running 0 28s marketplace-operator-d9f549946-96sgr 1/1 Running 0 26h
oc get catalogsource -n openshift-marketplace
NAME DISPLAY TYPE PUBLISHER AGE my-operator-catalog My Operator Catalog grpc 5s
oc get packagemanifest -n openshift-marketplace
NAME CATALOG AGE jaeger-product My Operator Catalog 93s
oc patch operatorhub cluster -p '{"spec": {"disableAllDefaultSources": true}}' --type=merge
grpcPodConfig: nodeSelector: custom_label: <label>
grpcPodConfig: priorityClassName: <priority_class>
apiVersion: operators.coreos.com/v1alpha1 kind: CatalogSource metadata: name: example-catalog namespace: openshift-marketplace annotations: operatorframework.io/priorityclass: system-cluster-critical
grpcPodConfig: tolerations: - key: "<key_name>" operator: "<operator_type>" value: "<value>" effect: "<effect>"
oc get subs -n <operator_namespace>
oc describe sub <subscription_name> -n <operator_namespace>
Name: cluster-logging Namespace: openshift-logging Labels: operators.coreos.com/cluster-logging.openshift-logging= Annotations: <none> API Version: operators.coreos.com/v1alpha1 Kind: Subscription Conditions: Last Transition Time: 2019-07-29T13:42:57Z Message: all available catalogsources are healthy Reason: AllCatalogSourcesHealthy Status: False Type: CatalogSourcesUnhealthy
oc get catalogsources -n openshift-marketplace
NAME DISPLAY TYPE PUBLISHER AGE certified-operators Certified Operators grpc Red Hat 55m community-operators Community Operators grpc Red Hat 55m example-catalog Example Catalog grpc Example Org 2m25s redhat-marketplace Red Hat Marketplace grpc Red Hat 55m redhat-operators Red Hat Operators grpc Red Hat 55m
oc describe catalogsource example-catalog -n openshift-marketplace
Name: example-catalog Namespace: openshift-marketplace Labels: <none> Annotations: operatorframework.io/managed-by: marketplace-operator target.workload.openshift.io/management: {"effect": "PreferredDuringScheduling"} API Version: operators.coreos.com/v1alpha1 Kind: CatalogSource Status: Connection State: Address: example-catalog.openshift-marketplace.svc:50051 Last Connect: 2021-09-09T17:07:35Z Last Observed State: TRANSIENT_FAILURE Registry Service: Created At: 2021-09-09T17:05:45Z Port: 50051 Protocol: grpc Service Name: example-catalog Service Namespace: openshift-marketplace
oc get pods -n openshift-marketplace
NAME READY STATUS RESTARTS AGE certified-operators-cv9nn 1/1 Running 0 36m community-operators-6v8lp 1/1 Running 0 36m marketplace-operator-86bfc75f9b-jkgbc 1/1 Running 0 42m example-catalog-bwt8z 0/1 ImagePullBackOff 0 3m55s redhat-marketplace-57p8c 1/1 Running 0 36m redhat-operators-smxx8 1/1 Running 0 36m
oc describe pod example-catalog-bwt8z -n openshift-marketplace
Name: example-catalog-bwt8z Namespace: openshift-marketplace Priority: 0 Node: ci-ln-jyryyg2-f76d1-ggdbq-worker-b-vsxjd/10.0.128.2 Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 48s default-scheduler Successfully assigned openshift-marketplace/example-catalog-bwt8z to ci-ln-jyryyf2-f76d1-fgdbq-worker-b-vsxjd Normal AddedInterface 47s multus Add eth0 [10.131.0.40/23] from openshift-sdn Normal BackOff 20s (x2 over 46s) kubelet Back-off pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 20s (x2 over 46s) kubelet Error: ImagePullBackOff Normal Pulling 8s (x3 over 47s) kubelet Pulling image "quay.io/example-org/example-catalog:v1" Warning Failed 8s (x3 over 47s) kubelet Failed to pull image "quay.io/example-org/example-catalog:v1": rpc error: code = Unknown desc = reading manifest v1 in quay.io/example-org/example-catalog: unauthorized: access to the requested resource is not authorized Warning Failed 8s (x3 over 47s) kubelet Error: ErrImagePull
oc get clusteroperators
oc get pod -n <operator_namespace>
oc describe pod <operator_pod_name> -n <operator_namespace>
oc get pods -n <operator_namespace>
oc logs pod/<pod_name> -n <operator_namespace>
oc logs pod/<operator_pod_name> -c <container_name> -n <operator_namespace>
ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl pods
ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspectp <operator_pod_id>
ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl ps --pod=<operator_pod_id>
ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspect <container_id>
ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl logs -f <container_id>