Managing OpenShift Container Storage

Red Hat OpenShift Container Storage 4.2

Instructions for cluster and storage administrators

Red Hat Storage Documentation Team

Abstract

This document covers instructions for managing an OpenShift Container Storage cluster.

Chapter 1. Overview

Managing OpenShift Container Storage is written to help administrators understand how to manage and administer their Red Hat OpenShift Container Storage cluster.

Most management tasks focus on a single resource. This document is divided into chapters based on the resource that an administrator is trying to modify:

Chapter 2. Configure storage for OpenShift Container Platform services

You can use OpenShift Container Storage to provide storage for OpenShift Container Platform services such as image registry, monitoring, and logging.

The process for configuring storage for these services depends on the infrastructure used in your OpenShift Container Storage deployment.

Warning

Always ensure that you have plenty of storage capacity for these services. If the storage for these critical services runs out of space, the cluster becomes inoperable and very difficult to recover.

Red Hat recommends configuring shorter curation and retention intervals for these services. See Configuring Curator and Modifying retention time for Prometheus metrics data in the OpenShift Container Platform documentation for details.

If you do run out of storage space for these services, contact Red Hat Customer Support.

2.1. Configuring Image Registry to use OpenShift Container Storage

OpenShift Container Platform provides a built in Container Image Registry which runs as a standard workload on the cluster. A registry is typically used as a publication target for images built on the cluster as well as a source of images for workloads running on the cluster.

Follow the instructions in this section to configure OpenShift Container Storage as storage for the Container Image Registry. On AWS, it is not required to change the storage for the registry. However, it is recommended to change the storage to OpenShift Container Storage persistent volume for vSphere platform.

Warning

This process does not migrate data from an existing image registry to the new image registry. If you already have container images in your existing registry, back up your registry before you complete this process, and re-register your images when this process is complete.

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Container Storage Operator is installed and running in the openshift-storage namespace. In OpenShift Web Console, click OperatorsInstalled Operators to view installed operators.
  • Image Registry Operator is installed and running in the openshift-image-registry namespace. In OpenShift Web Console, click AdministrationCluster SettingsCluster Operators to view cluster operators.
  • The ocs-storagecluster-cephfs storage class is available. In OpenShift Web Console, click StorageStorage Classes to view available storage classes.

Procedure

  1. Create a Persistent Volume Claim for the Image Registry to use.

    1. In OpenShift Web Console, click StoragePersistent Volume Claims.
    2. Set the Project to openshift-image-registry.
    3. Click Create Persistent Volume Claim.

      1. Specify a Storage Class of ocs-storagecluster-cephfs.
      2. Specify the Persistent Volume Claim Name, for example, ocs4registry.
      3. Specify an Access Mode of Shared Access (RWX).
      4. Specify a Size of at least 100 GB.
      5. Click Create.

        Wait until the status of the new Persistent Volume Claim is listed as Bound.

  2. Configure the cluster’s Image Registry to use the new Persistent Volume Claim.

    1. Click AdministrationCustom Resource Definitions.
    2. Click the Config custom resource definition associated with the imageregistry.operator.openshift.io group.
    3. Click the Instances tab.
    4. Beside the cluster instance, click the Action Menu (⋮)Edit Config.
    5. Add the new Persistent Volume Claim as persistent storage for the Image Registry.

      1. Add the following under spec:, replacing the existing storage: section if necessary.

          storage:
            pvc:
              claim: <new-pvc-name>

        For example:

          storage:
            pvc:
              claim: ocs4registry
      2. Click Save.
  3. Verify that the new configuration is being used.

    1. Click WorkloadsPods.
    2. Set the Project to openshift-image-registry.
    3. Verify that the new image-registry-* pod appears with a status of Running, and that the previous image-registry-* pod terminates.
    4. Click the new image-registry-* pod to view pod details.
    5. Scroll down to Volumes and verify that the registry-storage volume has a Type that matches your new Persistent Volume Claim, for example, ocs4registry.

2.2. Configuring monitoring to use OpenShift Container Storage

OpenShift Container Storage provides a monitoring stack that is comprised of Prometheus and AlertManager.

Follow the instructions in this section to configure OpenShift Container Storage as storage for the monitoring stack.

Important

Monitoring will not function if it runs out of storage space. Always ensure that you have plenty of storage capacity for monitoring.

Red Hat recommends configuring a short retention intervals for this service. See the Modifying retention time for Prometheus metrics data sub section of Configuring persistent storage in the OpenShift Container Platform documentation for details.

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Container Storage Operator is installed and running in the openshift-storage namespace. In OpenShift Web Console, click OperatorsInstalled Operators to view installed operators.
  • Monitoring Operator is installed and running in the openshift-monitoring namespace. In OpenShift Web Console, click AdministrationCluster SettingsCluster Operators to view cluster operators.
  • The ocs-storagecluster-ceph-rbd storage class is available. In OpenShift Web Console, click StorageStorage Classes to view available storage classes.

Procedure

  1. In OpenShift Web Console, go to WorkloadsConfig Maps.
  2. Set the Project dropdown to openshift-monitoring.
  3. Click Create Config Map.
  4. Define a new openshift-monitoring-config Config Map using the following example.

    Replace the content in angle brackets (<, >) with your own values, for example, retention: 24h or storage: 40Gi.

    Example openshift-monitoring-config Config Map

    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: cluster-monitoring-config
      namespace: openshift-monitoring
    data:
      config.yaml: |
          prometheusK8s:
            retention: <time to retain monitoring files, e.g. 24h>
            volumeClaimTemplate:
              metadata:
                name: ocs-prometheus-claim
              spec:
                storageClassName: ocs-storagecluster-ceph-rbd
                resources:
                  requests:
                    storage: <size of claim, e.g. 40Gi>
          alertmanagerMain:
            volumeClaimTemplate:
              metadata:
                name: ocs-alertmanager-claim
              spec:
                storageClassName: ocs-storagecluster-ceph-rbd
                resources:
                  requests:
                    storage: <size of claim, e.g. 40Gi>

  5. Click Create to save and create the Config Map.

Verification steps

  1. Verify that the Persistent Volume claims are bound to the pods.

    1. Go to StoragePersistent Volume Claims.
    2. Set the Project dropdown to openshift-monitoring.
    3. Verify that 5 Persistent Volume Claims are visible with a state of Bound, attached to three alertmanager-main-* pods, and two prometheus-k8s-* pods.

      Monitoring storage created and bound

      Screenshot of OpenShift Web Console showing five pods with persistent volume claims bound in the openshift-monitoring project

  2. Verify that the new alertmanager-main-* pods appear with a state of Running.

    1. Click the new alertmanager-main-* pods to view the pod details.
    2. Scroll down to Volumes and verify that the volume has a Type, ocs-alertmanager-claim that matches one of your new Persistent Volume Claims, for example, ocs-alertmanager-claim-alertmanager-main-0.

      Persistent Volume Claims attached to alertmanager-main-* pod

      Screenshot of OpenShift Web Console showing persistent volume claim attached to the altermanager pod

  3. Verify that the new prometheus-k8s-* pods appear with a state of Running.

    1. Click the new prometheus-k8s-* pods to view the pod details.
    2. Scroll down to Volumes and verify that the volume has a Type, ocs-prometheus-claim that matches one of your new Persistent Volume Claims, for example, ocs-prometheus-claim-prometheus-k8s-0.

      Persistent Volume Claims attached to prometheus-k8s-* pod

      Screenshot of OpenShift Web Console showing persistent volume claim attached to the prometheus pod

2.3. Cluster logging for OpenShift Container Storage

You can deploy cluster logging to aggregate logs for a range of OpenShift Container Platform services. For information about how to deploy cluster logging, see Deploying cluster logging.

Upon initial OpenShift Container Platform deployment, OpenShift Container Storage is not configured by default and the OpenShift Container Platform cluster will solely rely on default storage available from the nodes. You can edit the default configuration of OpenShift logging (ElasticSearch) to be backed by OpenShift Container Storage to have OpenShift Container Storage backed logging (Elasticsearch).

Important

Always ensure that you have plenty of storage capacity for these services. If you run out of storage space for these critical services, the logging application becomes inoperable and very difficult to recover.

Red Hat recommends configuring shorter curation and retention intervals for these services. See Configuring Curator in the OpenShift Container Platform documentation for details.

If you run out of storage space for these services, contact Red Hat Customer Support.

2.3.1. Configuring persistent storage

You can configure a persistent storage class and size for the Elasticsearch cluster using the storage class name and size parameters. The Cluster Logging Operator creates a Persistent Volume Claim for each data node in the Elasticsearch cluster based on these parameters. For example:

spec:
    logStore:
      type: "elasticsearch"
      elasticsearch:
        nodeCount: 3
        storage:
          storageClassName: "ocs-storagecluster-ceph-rbd”
          size: "200G"

This example specifies that each data node in the cluster will be bound to a Persistent Volume Claim that requests 200GiB of ocs-storagecluster-ceph-rbd storage. Each primary shard will be backed by a single replica. A copy of the shard is replicated across all the nodes and are always available and the copy can be recovered if at least two nodes exist due to the single redundancy policy. For information about Elasticsearch replication policies, see Elasticsearch replication policy in About deploying and configuring cluster logging.

Note

Omission of the storage block will result in a deployment backed by default storage. For example:

spec:
    logStore:
      type: "elasticsearch"
      elasticsearch:
        nodeCount: 3
        storage: {}

For more information, see Configuring cluster logging.

2.3.2. Configuring cluster logging to use OpenShift Container Storage

Follow the instructions in this section to configure OpenShift Container Storage as storage for the OpenShift cluster logging.

Note

You can obtain all the logs when you configure logging for the first time in OpenShift Container Storage. However, after you uninstall and reinstall logging, the old logs are removed and only the new logs are processed.

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Container Storage Operator is installed and running in the openshift-storage namespace.
  • Cluster logging Operator is installed and running in the openshift-logging namespace.

Procedure

  1. Click Administration → Custom Resource Definitions from the left pane of the OpenShift Web Console.
  2. On the Custom Resource Definitions page, click ClusterLogging.
  3. On the Custom Resource Definition Overview page, select View Instances from the Actions menu or click the Instances Tab.
  4. On the Cluster Logging page, click Create Cluster Logging.

    You might have to refresh the page to load the data.

  5. In the YAML, replace the code with the following:

    apiVersion: "logging.openshift.io/v1"
    kind: "ClusterLogging"
    metadata:
      name: "instance"
      namespace: "openshift-logging"
    spec:
      managementState: "Managed"
      logStore:
        type: "elasticsearch"
        elasticsearch:
          nodeCount: 3
          storage:
            storageClassName: ocs-storagecluster-ceph-rbd
            size: 200G
          redundancyPolicy: "SingleRedundancy"
      visualization:
        type: "kibana"
        kibana:
          replicas: 1
      curation:
        type: "curator"
        curator:
          schedule: "30 3 * * *"
      collection:
        logs:
          type: "fluentd"
          fluentd: {}
  6. Click Save.

Verification steps

  1. Verify that the Persistent Volume Claims are bound to the elasticsearch pods.

    1. Go to StoragePersistent Volume Claims.
    2. Set the Project dropdown to openshift-logging.
    3. Verify that Persistent Volume Claims are visible with a state of Bound, attached to elasticsearch-* pods.

      Figure 2.1. Cluster logging created and bound

      Screenshot of Persistent Volume Claims with a bound state attached to elasticsearch pods
  2. Verify that the new cluster logging is being used.

    1. Click Workload → Pods.
    2. Set the Project to openshift-logging.
    3. Verify that the new elasticsearch-* pods appear with a state of Running.
    4. Click the new elasticsearch-* pod to view pod details.
    5. Scroll down to Volumes and verify that the elasticsearch volume has a Type that matches your new Persistent Volume Claim, for example, elasticsearch-elasticsearch-cdm-9r624biv-3.
    6. Click the Persistent Volume Claim name and verify the storage class name in the PersistenVolumeClaim Overview page.
Note

Make sure to use a shorter curator time to avoid PV full scenario on PVs attached to Elasticsearch pods.

You can configure Curator to delete Elasticsearch data based on retention settings. It is recommended that you set the following default index data retention of 5 days as a default.

config.yaml: |
    openshift-storage:
      delete:
        days: 5

For more details, see Curation of Elasticsearch Data.

Note

To uninstall cluster logging backed by Persistent Volume Claim, use the steps in Removing the cluster logging operator from OpenShift Container Storage.

2.4. Object Bucket Claim

OpenShift Container Storage introduces a new concept called Object Bucket Claim. An Object Bucket Claim can be used to request an S3 compatible bucket backend for your workloads.

You can create an Object Bucket Claim two ways:

2.4.1. Dynamic Object Bucket Claim

Similar to persistent volumes, you can add the details of the Object Bucket claim to your application’s YAML, and get the object service endpoint, access key, and secret access key available in a configuration map and secret. It is easy to read this information dynamically into environment variables of your application.

Procedure

  1. Add the following lines to your application YAML:

    apiVersion: objectbucket.io/v1alpha1
    kind: ObjectBucketClaim
    metadata:
      name: <obc-name>
    spec:
      generateBucketName: <obc-bucket-name>
      storageClassName: noobaa

    These lines are the Object Bucket Claim itself.

    1. Replace <obc-name> with the a unique Object Bucket Claim name.
    2. Replace <obc-bucket-name> with a unique bucket name for your Object Bucket Claim.
  2. You can add more lines to the YAML file to automate the use of the Object Bucket Claim. The example below is the mapping between the bucket claim result, which is a configuration map with data and a secret with the credentials. This specific job will claim the Object Bucket from NooBaa, which will create a bucket and an account.

    apiVersion: batch/v1
    kind: Job
    metadata:
      name: testjob
    spec:
      template:
        spec:
          restartPolicy: OnFailure
          containers:
            - image: <your application image>
              name: test
              env:
                - name: BUCKET_NAME
                  valueFrom:
                    configMapKeyRef:
                      name: <obc-name>
                      key: BUCKET_NAME
                - name: BUCKET_HOST
                  valueFrom:
                    configMapKeyRef:
                      name: <obc-name>
                      key: BUCKET_HOST
                - name: BUCKET_PORT
                  valueFrom:
                    configMapKeyRef:
                      name: <obc-name>
                      key: BUCKET_PORT
                - name: AWS_ACCESS_KEY_ID
                  valueFrom:
                    secretKeyRef:
                      name: <obc-name>
                      key: AWS_ACCESS_KEY_ID
                - name: AWS_SECRET_ACCESS_KEY
                  valueFrom:
                    secretKeyRef:
                      name: <obc-name>
                      key: AWS_SECRET_ACCESS_KEY
    1. Replace all instances of <obc-name> with your Object Bucket Claim name.
    2. Replace <your application image> with your application image.
  3. Apply the updated YAML file:

    # oc apply -f <yaml.file>
    1. Replace <yaml.file> with the name of your YAML file.
  4. To view the new configuration map, run the following:

    # oc get cm <obc-name>
    1. Replace obc-name with the name of your Object Bucket Claim.

      You can expect the following environment variables in the output:

      • BUCKET_HOST - Endpoint to use in the application
      • BUCKET_PORT - The port available for the application

      • BUCKET_NAME - Requested or generated bucket name
      • AWS_ACCESS_KEY_ID - Access key that is part of the credentials
      • AWS_SECRET_ACCESS_KEY - Secret access key that is part of the credentials

2.4.2. Creating an Object Bucket Claim using the command line interface

When creating an Object Bucket Claim using the command-line interface, you get a configuration map and a Secret that together contain all the information your application needs to use the object storage service.

Prerequisites

  • Download the MCG command-line interface:

    # subscription-manager repos --enable=rh-ocs-4-for-rhel-8-x86_64-rpms
    # yum install mcg

Procedure

  1. Use the command-line interface to generate the details of a new bucket and credentials. Run the following command:

    # noobaa obc create <obc-name> -n openshift-storage

    Replace <obc-name> with a unique Object Bucket Claim name, for example, myappobc.

    Additionally, you can use the --app-namespace option to specify the namespace where the Object Bucket Claim configuration map and secret will be created, for example, myapp-namespace.

    Example output:

    INFO[0001] ✅ Created: ObjectBucketClaim "test21obc"

    The MCG command-line-interface has created the necessary configuration and has informed OpenShift about the new OBC.

  2. Run the following command to view the Object Bucket Claim:

    # oc get obc -n openshift-storage

    Example output:

    NAME        STORAGE-CLASS                 PHASE   AGE
    test21obc   openshift-storage.noobaa.io   Bound   38s
  3. Run the following command to view the YAML file for the new Object Bucket Claim:

    # oc get obc test21obc -o yaml -n openshift-storage

    Example output:

    apiVersion: objectbucket.io/v1alpha1
    kind: ObjectBucketClaim
    metadata:
      creationTimestamp: "2019-10-24T13:30:07Z"
      finalizers:
      - objectbucket.io/finalizer
      generation: 2
      labels:
        app: noobaa
        bucket-provisioner: openshift-storage.noobaa.io-obc
        noobaa-domain: openshift-storage.noobaa.io
      name: test21obc
      namespace: openshift-storage
      resourceVersion: "40756"
      selfLink: /apis/objectbucket.io/v1alpha1/namespaces/openshift-storage/objectbucketclaims/test21obc
      uid: 64f04cba-f662-11e9-bc3c-0295250841af
    spec:
      ObjectBucketName: obc-openshift-storage-test21obc
      bucketName: test21obc-933348a6-e267-4f82-82f1-e59bf4fe3bb4
      generateBucketName: test21obc
      storageClassName: openshift-storage.noobaa.io
    status:
      phase: Bound
  4. Inside of your openshift-storage namespace, you can find the configuration map and the secret to use this Object Bucket Claim. The CM and the secret have the same name as the Object Bucket Claim. To view the secret:

    # oc get -n openshift-storage secret test21obc -o yaml

    Example output:

    Example output:
    apiVersion: v1
    data:
      AWS_ACCESS_KEY_ID: c0M0R2xVanF3ODR3bHBkVW94cmY=
      AWS_SECRET_ACCESS_KEY: Wi9kcFluSWxHRzlWaFlzNk1hc0xma2JXcjM1MVhqa051SlBleXpmOQ==
    kind: Secret
    metadata:
      creationTimestamp: "2019-10-24T13:30:07Z"
      finalizers:
      - objectbucket.io/finalizer
      labels:
        app: noobaa
        bucket-provisioner: openshift-storage.noobaa.io-obc
        noobaa-domain: openshift-storage.noobaa.io
      name: test21obc
      namespace: openshift-storage
      ownerReferences:
      - apiVersion: objectbucket.io/v1alpha1
        blockOwnerDeletion: true
        controller: true
        kind: ObjectBucketClaim
        name: test21obc
        uid: 64f04cba-f662-11e9-bc3c-0295250841af
      resourceVersion: "40751"
      selfLink: /api/v1/namespaces/openshift-storage/secrets/test21obc
      uid: 65117c1c-f662-11e9-9094-0a5305de57bb
    type: Opaque

    The secret gives you the S3 access credentials.

  5. To view the configuration map:

    # oc get -n openshift-storage cm test21obc -o yaml

    Example output:

    apiVersion: v1
    data:
      BUCKET_HOST: 10.0.171.35
      BUCKET_NAME: test21obc-933348a6-e267-4f82-82f1-e59bf4fe3bb4
      BUCKET_PORT: "31242"
      BUCKET_REGION: ""
      BUCKET_SUBREGION: ""
    kind: ConfigMap
    metadata:
      creationTimestamp: "2019-10-24T13:30:07Z"
      finalizers:
      - objectbucket.io/finalizer
      labels:
        app: noobaa
        bucket-provisioner: openshift-storage.noobaa.io-obc
        noobaa-domain: openshift-storage.noobaa.io
      name: test21obc
      namespace: openshift-storage
      ownerReferences:
      - apiVersion: objectbucket.io/v1alpha1
        blockOwnerDeletion: true
        controller: true
        kind: ObjectBucketClaim
        name: test21obc
        uid: 64f04cba-f662-11e9-bc3c-0295250841af
      resourceVersion: "40752"
      selfLink: /api/v1/namespaces/openshift-storage/configmaps/test21obc
      uid: 651c6501-f662-11e9-9094-0a5305de57bb

    The configuration map contains the S3 endpoint information for your application.

Chapter 3. Backing OpenShift Container Platform applications with OpenShift Container Storage

You cannot directly install OpenShift Container Storage during the OpenShift Container Platform installation. However, you can install OpenShift Container Storage on an existing OpenShift Container Platform by using the Operator Hub and then configure the OpenShift Container Platform applications to be backed by OpenShift Container Storage.

Prerequisites

  • OpenShift Container Platform is installed and you have administrative access to OpenShift Web Console.
  • OpenShift Container Storage is installed and running in the openshift-storage namespace.

Procedure

  1. In the OpenShift Web Console, perform one of the following:

    • Click Workloads → Deployments.

      In the Deployments page, you can do one of the following:

      • Select any existing deployment and click Add Storage option from the Action menu (⋮).
      • Create a new deployment and then add storage.

        1. Click Create Deployment to create a new deployment.
        2. Edit the YAML based on your requirement to create a deployment.
        3. Click Create.
        4. Select Add Storage from the Actions drop down menu on the top right of the page.
    • Click Workloads → Deployment Configs.

      In the Deployment Configs page, you can do one of the following:

      • Select any existing deployment and click Add Storage option from the Action menu (⋮).
      • Create a new deployment and then add storage.

        1. Click Create Deployment Config to create a new deployment.
        2. Edit the YAML based on your requirement to create a deployment.
        3. Click Create.
        4. Select Add Storage from the Actions drop down menu on the top right of the page.
  2. In the Add Storage page, you can choose one of the following options:

    • Click the Use existing claim option and select a suitable PVC from the drop down list.
    • Click the Create new claim option.

      1. Select ocs-storagecluster-ceph-rbd or ocs-storagecluster-cephfs storage class from the Storage Class drop down list.
      2. Provide a name for the Persistent Volume Claim.
      3. Select ReadWriteOnce (RWO) or ReadWriteMany (RWX) access mode.

        Note

        ReadOnlyMany (ROX) is deactivated as it is not supported.

      4. Select the size of the desired storage capacity.

        Note

        You cannot resize the storage capacity after the creation of Persistent Volume Claim.

  3. Specify the mount path and subpath (if required) for the mount path volume inside the container.
  4. Click Save.

Verification steps

  1. Depending on your configuration, perform one of the following:

    • Click Workloads → Deployments.
    • Click Workloads → Deployment Configs.
  2. Set the Project as required.
  3. Click the deployment for you which you added storage to view the deployment details.
  4. Scroll down to Volumes and verify that your deployment has a Type that matches the Persistent Volume Claim that you assigned.
  5. Click the Persistent Volume Claim name and verify the storage class name in the PersistenVolumeClaim Overview page.

Chapter 4. Managing storage nodes

4.1. Scaling up storage capacity

4.1.1. Adding a node

Additional nodes are needed when existing worker nodes are already running maximum supported OSDs, which is 3 OSDs of the size 2 TiB, and additional storage is needed.

Supported Deployments for Red Hat OpenShift Container Storage 4.2

  • User-provisioned infrastructure:

    • Amazon Web Services (AWS)
    • VMware
  • Installer-provisioned infrastructure:

    • Amazon Web Services (AWS)

Requirements

Please refer to the following sections to understand the node requirements for your specific OpenShift Container Storage instance:

Procedure

Please refer to the following sections for instructions on adding nodes based on your environment:

4.1.1.1. Adding a node using the OpenShift Web Console

Supported Deployments for Red Hat OpenShift Container Storage 4.2

  • Installer-provisioned infrastructure:

    • Amazon Web Services (AWS)

Prerequisites

  • A running OpenShift Container Storage Platform
  • Access to the OpenShift Web Console

Procedure

  1. Navigate to the OpenShift Web Console.
  2. Navigate to ComputeMachine Sets.
  3. On the machine set where you want to add nodes, select Edit Count.
  4. Add the amount of nodes, and click Save.
  5. Click ComputeNodes and confirm if the new node is in Ready state.
  6. Apply the OpenShift Container Storage label to the new node.

    1. For the new node, Action menu (⋮)Edit Labels.
    2. Add cluster.ocs.openshift.io/openshift-storage='' and click Save.

4.1.1.2. Adding a node on an AWS user-provisioned infrastructure

Procedure

  1. Create a new AWS machine instance with the required infrastructure. See Infrastructure requirements.
  2. Create a new OpenShift Container Platform node using the new AWS machine instance.
  3. Check for certificate signing requests (CSRs) related to OpenShift Container Storage that are in Pending state:

    $ oc get csr
  4. Approve all required OpenShift Container Storage CSRs for the new node:

    $ oc adm certificate approve <Certificate_Name>
  5. Click ComputeNodes, confirm if the new node is in Ready state.
  6. Apply the OpenShift Container Storage label to the new node using any one of the following:

    From User interface
    1. For the new node, click Action Menu (⋮)Edit Labels
    2. Add cluster.ocs.openshift.io/openshift-storage and click Save.
    From Command line interface
    • Execute the following command to apply the OpenShift Container Storage label to the new node:

      $ oc label node <new_node_name> cluster.ocs.openshift.io/openshift-storage=""

Verification steps

  1. Execute the following command and verify that the new node is present in the output:

    $ oc get nodes --show-labels | grep cluster.ocs.openshift.io/openshift-storage= |cut -d' ' -f1
  2. Click WorkloadsPods, confirm that at least the following pods on the new node are in Running state:

    • csi-cephfsplugin-*
    • csi-rbdplugin-*
  3. Verify that all other required OpenShift Container Storage pods are in Running state.

4.1.1.3. Adding a node on a VMWare user-provisioned infrastructure

Procedure

  1. Create a new VM on vSphere with the required infrastructure. See Infrastructure requirements.
  2. Create a new OpenShift Container Platform worker node using the new VM.
  3. Check for certificate signing requests (CSRs) related to OpenShift Container Storage that are in Pending state:

    $ oc get csr
  4. Approve all required OpenShift Container Storage CSRs for the new node:

    $ oc adm certificate approve <Certificate_Name>
  5. Click ComputeNodes, confirm if the new node is in Ready state.
  6. Apply the OpenShift Container Storage label to the new node using any one of the following:

    From User interface
    1. For the new node, click Action Menu (⋮)Edit Labels
    2. Add cluster.ocs.openshift.io/openshift-storage and click Save.
    From Command line interface
    • Execute the following command to apply the OpenShift Container Storage label to the new node:

      $ oc label node <new_node_name> cluster.ocs.openshift.io/openshift-storage=""

Verification steps

  1. Execute the following command and verify that the new node is present in the output:

    $ oc get nodes --show-labels | grep cluster.ocs.openshift.io/openshift-storage= |cut -d' ' -f1
  2. Click WorkloadsPods, confirm that at least the following pods on the new node are in Running state:

    • csi-cephfsplugin-*
    • csi-rbdplugin-*
  3. Verify that all other required OpenShift Container Storage pods are in Running state.

4.1.2. Requirements for adding a node

Please see the following sections to understand the node requirements for your specific OpenShift Container Storage instance:

4.1.2.1. Supported configurations

Red Hat OpenShift Container Storage 4.2 is deployed as a minimal cluster of 3 worker nodes. Spread the nodes across three different availability zones to ensure availability.

Each node in this initial cluster runs one 2 TiB disk, which replicate their contents to each other, providing a usable starting capacity of 2 TiB. The initial cluster will consist of 3 nodes, regardless of the number of nodes selected for storage nodes.

The initial cluster can later be expanded to a maximum of 9 nodes that support up to 9 disks for a 3 node cluster.

Note

The distribution of the disks depends on OpenShift scheduling and available resources.

The following table shows the supported configurations for OpenShift Container Storage.

 Number of nodesDisksTotal capacityUsable storage capacity

Initial configuration

3 Nodes

1 disk of 2 TiB on each node

6 TiB

2 TiB

Possible expansion

Maximum of up to 9 nodes

3 disks of 2TiB on each node, which is a maximum of 27 disks of 2 TiB each

Maximum of 54 TiB

Maximum of 18 TiB

As of version 4.2 GA, installation is supported only on existing Red Hat OpenShift Container Platform nodes. See Deploying OpenShift Container Storage for more information.

4.1.2.2. Infrastructure requirements

OpenShift Container Storage supports the following:

4.1.2.2.1. Node requirements

The following resources are required for exclusive use by Red Hat OpenShift Container Storage. Calculate the requirements of any non-storage workloads that co-reside with OpenShift Container Storage in addition to these requirements.

The three nodes that are initially installed require space for at least one Object Storage Daemon (OSD) and one Monitor daemon (MON).

Minimum requirements for each starting node (OSD+MON)

  • 16 CPUs
  • 64 GB memory
  • 2.01 TiB storage

    • 2 TiB storage per disk (1 disk by default; scalable to 3 disks per node)
    • 10 GiB storage per MON (1 MON)

Subsequent nodes do not require space for MONs.

Requirements for each additional node (OSD only)

  • 16 CPUs
  • 64 GB memory
  • 2 TiB storage

    • 2 TiB storage per disk (1 disk by default; scalable to 3 disks per node)

On Amazon AWS, the minimum instance type is m5.4xlarge.

4.1.2.2.2. Storage class requirements

Red Hat OpenShift Container Storage makes use of the OpenShift Container Platform default storage class, and expects a certain default storage class depending on your infrastructure provider.

These classes are configured on OpenShift Container Platform nodes automatically, but if your OpenShift Container Platform node uses a different storage class as the default, you must change the default storage class back to the appropriate storage class for your infrastructure provider.

  • On Amazon Web Services, the default storage class must be gp2.
  • On VMware vSphere, the default storage class must be thin.

4.1.2.3. Sizing and scaling recommendations

Red Hat OpenShift Container Storage 4.2 supports a minimum of 3 nodes and a maximum of 9 nodes.

Expand the cluster in sets of three nodes to ensure that your storage is replicated, and to ensure you can use at least three availability zones.

Warning

Always ensure that you have plenty of storage capacity.

If storage ever fills completely, it is not possible to add capacity or to delete or migrate content away from the storage to free up space. Completely full storage is very difficult to recover.

Capacity alerts are issued when cluster storage capacity reaches 75% (near-full) and 85% (full) of total capacity. Always address capacity warnings promptly, and review your storage regularly to ensure that you do not run out of storage space.

If you do run out of storage space completely, contact Red Hat Customer Support.

4.1.3. Adding capacity to your OpenShift Container Storage nodes

You can add storage capacity and performance to your configured Red Hat OpenShift Container Storage worker nodes.

Supported Deployments for Red Hat OpenShift Container Storage 4.2

  • User-provisioned infrastructure:

    • Amazon Web Services (AWS)
    • VMware
  • Installer-provisioned infrastructure:

    • Amazon Web Services (AWS)

Prerequisites

  • A running OpenShift Container Storage Platform
  • Administrative privileges on the OpenShift console

Procedure

  1. Navigate to the OpenShift Web Console.
  2. Click on Operators on the left navigation bar.
  3. Select Installed Operators.
  4. In the window, click Openshift Container Storage Operator:

    ocs installed operators
  5. In the top navigation bar, scroll right to find Storage Cluster and click it:

    OCS Storage Cluster overview reachit
  6. The visible list should have only one item. Click on the three dots on the far right to extend the options menu.
  7. Select Add Capacity from the options menu:

    OCS add capacity dialog menu

    From this dialog, you can set the requested additional capacity and the storage class. The size should always be set in multiples of 2 Ti. On AWS, the storage class should be set to gp2. On VMWare, the storage class should be set to thin.

    Note

    The effectively provisioned capacity will be three times as much as you put into the Requested Capacity field because OpenShift Container Storage uses a replica count of 3.

  8. Once you are done with your setting, click Add. You will see the status of the storage cluster change until it reaches Ready.
  9. Verify the expansion was successful by navigating to Dashboards -→ Persistent Storage tab, then check the Capacity card:

    ocs add capacity expansion verification

    The capacity will have increased based on your selections:

    ocs add capacity expansion verification capacity card
Important

As of OpenShift Container Storage 4.2, cluster reduction, whether by reducing OSDs or nodes, is not supported.

Chapter 5. Managing persistent volume claims

Important

Expanding PVCs is not supported for PVCs backed by OpenShift Container Storage 4.2

5.1. Configuring application pods to use OpenShift Container Storage

Follow the instructions in this section to configure OpenShift Container Storage as storage for an application pod.

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Container Storage Operator is installed and running in the openshift-storage namespace. In OpenShift Web Console, click OperatorsInstalled Operators to view installed operators.
  • The default storage classes provided by OpenShift Container Storage are available. In OpenShift Web Console, click StorageStorage Classes to view default storage classes.

Procedure

  1. Create a Persistent Volume Claim (PVC) for the application to use.

    1. In OpenShift Web Console, click StoragePersistent Volume Claims.
    2. Set the Project for the application pod.
    3. Click Create Persistent Volume Claim.

      1. Specify a Storage Class provided by OpenShift Container Storage.
      2. Specify the PVC Name, for example, myclaim.
      3. Select the required Access Mode.
      4. Specify a Size as per application requirement.
      5. Click Create and wait until the PVC is in Bound status.
  2. Configure a new or existing application pod to use the new PVC.

    • For a new application pod, perform the following steps:

      1. Click WorkloadsPods.
      2. Create a new application pod.
      3. Under the spec: section, add volume: section to add the new PVC as a volume for the application pod.

        volumes:
          - name: <volume_name>
            persistentVolumeClaim:
              claimName: <pvc_name>

        For example:

        volumes:
          - name: mypd
            persistentVolumeClaim:
              claimName: myclaim
    • For an existing application pod, perform the following steps:

      1. Click WorkloadsDeployment Configs.
      2. Search for the required deployment config associated with the application pod.
      3. Click on its Action menu (⋮)Edit Deployment Config.
      4. Under the spec: section, add volume: section to add the new PVC as a volume for the application pod and click Save.

        volumes:
          - name: <volume_name>
            persistentVolumeClaim:
              claimName: <pvc_name>

        For example:

        volumes:
          - name: mypd
            persistentVolumeClaim:
              claimName: myclaim
  3. Verify that the new configuration is being used.

    1. Click WorkloadsPods.
    2. Set the Project for the application pod.
    3. Verify that the application pod appears with a status of Running.
    4. Click the application pod name to view pod details.
    5. Scroll down to Volumes section and verify that the volume has a Type that matches your new Persistent Volume Claim, for example, myclaim.

5.2. Viewing Persistent Volume Claim request status

Warning

Expanding Persistent Volume Claims (PVCs) is not supported for PVCs backed by OpenShift Container Storage 4.2

Use this procedure to view the status of a PVC request.

Prerequisites

  • Administrator access to OpenShift Container Storage.

Procedure

  1. Log in to OpenShift Web Console.
  2. Click StoragePersistent Volume Claims
  3. Search for the required PVC name by using the Filter textbox.
  4. Check the Status column corresponding to the required PVC.
  5. Click the required Name to view the PVC details.

5.3. Reviewing Persistent Volume Claim request events

Use this procedure to review and address Persistent Volume Claim (PVC) request events.

Prerequisites

  • Administrator access to OpenShift Web Console.

Procedure

  1. Log in to OpenShift Web Console.
  2. Click HomeDashboardsPersistent Storage
  3. Locate the Inventory card to see the number of PVCs with errors.
  4. Click StoragePersistent Volume Claims
  5. Search for the required PVC using the Filter textbox.
  6. Click on the PVC name and navigate to Events
  7. Address the events as required or as directed.

5.4. Dynamic provisioning

5.4.1. About dynamic provisioning

The StorageClass resource object describes and classifies storage that can be requested, as well as provides a means for passing parameters for dynamically provisioned storage on demand. StorageClass objects can also serve as a management mechanism for controlling different levels of storage and access to the storage. Cluster Administrators (cluster-admin) or Storage Administrators (storage-admin) define and create the StorageClass objects that users can request without needing any intimate knowledge about the underlying storage volume sources.

The OpenShift Container Platform persistent volume framework enables this functionality and allows administrators to provision a cluster with persistent storage. The framework also gives users a way to request those resources without having any knowledge of the underlying infrastructure.

Many storage types are available for use as persistent volumes in OpenShift Container Platform. While all of them can be statically provisioned by an administrator, some types of storage are created dynamically using the built-in provider and plug-in APIs.

5.4.2. Dynamic provisioning in OpenShift Container Storage

Red Hat OpenShift Container Storage is software-defined storage that is optimised for container environments. It runs as an operator on OpenShift Container Platform to provide highly integrated and simplified persistent storage management for containers.

OpenShift Container Storage supports a variety of storage types, including:

  • Block storage for databases
  • Shared file storage for continuous integration, messaging, and data aggregation
  • Object storage for archival, backup, and media storage

Version 4.2 uses Red Hat Ceph Storage to provide the file, block, and object storage that backs persistent volumes, and Rook.io to manage and orchestrate provisioning of persistent volumes and claims. Noobaa provides object storage, and its Multi-Cloud Gateway (available as a Technology Preview) allows object federation across multiple cloud environments.

In OpenShift Container Storage 4.2, the Red Hat Ceph Storage Container Storage Interface (CSI) driver for RADOS Block Device (RBD) and Ceph File System (CephFS) handles the dynamic provisioning requests. When a PVC request comes in dynamically, the CSI driver has the following options:

  • Create a PVC with ReadWriteOnce (RWO) and ReadWriteMany (RWX) access that is based on Ceph RBDs with volume mode Block
  • Create a PVC with ReadWriteOnce (RWO) access that is based on Ceph RBDs with volume mode Filesystem
  • Create a PVC with ReadWriteOnce (RWO) and ReadWriteMany (RWX) access that is based on CephFS for volume mode Filesystem

The judgement of which driver (RBD or CephFS) to use is based on the entry in the storageclass.yaml file.

5.4.3. Available dynamic provisioning plug-ins

OpenShift Container Platform provides the following provisioner plug-ins, which have generic implementations for dynamic provisioning that use the cluster’s configured provider’s API to create new storage resources:

Storage typeProvisioner plug-in nameNotes

AWS Elastic Block Store (EBS)

kubernetes.io/aws-ebs

For dynamic provisioning when using multiple clusters in different zones, tag each node with Key=kubernetes.io/cluster/<cluster_name>,Value=<cluster_id> where <cluster_name> and <cluster_id> are unique per cluster.

AWS Elastic File System (EFS)

 

Dynamic provisioning is accomplished through the EFS provisioner pod and not through a provisioner plug-in.

Azure Disk

kubernetes.io/azure-disk

 

Azure File

kubernetes.io/azure-file

The persistent-volume-binder ServiceAccount requires permissions to create and get Secrets to store the Azure storage account and keys.

Ceph File System (POSIX Compliant filesystem)

openshift-storage.cephfs.csi.ceph.com

Provisions a volume for ReadWriteMany (RWX) or ReadWriteOnce (RWO) access modes using the Ceph Filesytem configured in a Ceph cluster.

Ceph RBD (Block Device)

openshift-storage.rbd.csi.ceph.com

Provisions a volume for RWO access mode for Ceph RBD, RWO and RWX access mode for block PVC, and RWO access mode for Filesystem PVC.

GCE Persistent Disk (gcePD)

kubernetes.io/gce-pd

In multi-zone configurations, it is advisable to run one OpenShift Container Platform cluster per GCE project to avoid PVs from being created in zones where no node in the current cluster exists.

S3 Bucket (MCG Object Bucket Claim)

openshift-storage.noobaa.io/obc

Provisions an object bucket claim to support S3 API calls through the Multi-Cloud Object Gateway (MCG). The exact storage backing the S3 bucket is dependent on the MCG configuration and the type of deployment.

VMware vSphere

kubernetes.io/vsphere-volume

 
Important

Any chosen provisioner plug-in also requires configuration for the relevant cloud, host, or third-party provider as per the relevant documentation.

Chapter 6. Multi-Cloud Object Gateway

6.1. About the Multi-Cloud Object Gateway

The Multi-Cloud Object Gateway (MCG) is a lightweight object storage service for OpenShift, allowing users to start small and then scale as needed on-premise, in multiple clusters, and with cloud-native storage.

6.2. Accessing the Multi-Cloud Object Gateway with your applications

You can access the object service with any application targeting AWS S3 or code that uses AWS S3 Software Development Kit (SDK). Applications need to specify the MCG endpoint, an access key, and a secret access key. You can use your terminal or the MCG CLI to retrieve this information.

Prerequisites

  • A running OpenShift Container Storage Platform
  • Download the MCG command-line interface for easier management:

    # subscription-manager repos --enable=rh-ocs-4-for-rhel-8-x86_64-rpms
    # yum install mcg

You can access the relevant endpoint, access key, and secret access key two ways:

6.2.1. Accessing the Multi-Cloud Object Gateway from the terminal

Procedure

Run the describe command to view information about the MCG endpoint, including its access key (AWS_ACCESS_KEY_ID value) and secret access key (AWS_SECRET_ACCESS_KEY value):

# oc describe noobaa -n openshift-storage

The output will look similar to the following:

Name:         noobaa
Namespace:    openshift-storage
Labels:       <none>
Annotations:  <none>
API Version:  noobaa.io/v1alpha1
Kind:         NooBaa
Metadata:
  Creation Timestamp:  2019-07-29T16:22:06Z
  Generation:          1
  Resource Version:    6718822
  Self Link:           /apis/noobaa.io/v1alpha1/namespaces/openshift-storage/noobaas/noobaa
  UID:                 019cfb4a-b21d-11e9-9a02-06c8de012f9e
Spec:
Status:
  Accounts:
    Admin:
      Secret Ref:
        Name:           noobaa-admin
        Namespace:      openshift-storage
  Actual Image:         noobaa/noobaa-core:4.0
  Observed Generation:  1
  Phase:                Ready
  Readme:

  Welcome to NooBaa!
  -----------------

  Welcome to NooBaa!
    -----------------
    NooBaa Core Version:
    NooBaa Operator Version:

    Lets get started:

    1. Connect to Management console:

      Read your mgmt console login information (email & password) from secret: "noobaa-admin".

        kubectl get secret noobaa-admin -n openshift-storage -o json | jq '.data|map_values(@base64d)'

      Open the management console service - take External IP/DNS or Node Port or use port forwarding:

        kubectl port-forward -n openshift-storage service/noobaa-mgmt 11443:443 &
        open https://localhost:11443

    2. Test S3 client:

      kubectl port-forward -n openshift-storage service/s3 10443:443 &
1
      NOOBAA_ACCESS_KEY=$(kubectl get secret noobaa-admin -n openshift-storage -o json | jq -r '.data.AWS_ACCESS_KEY_ID|@base64d')
2
      NOOBAA_SECRET_KEY=$(kubectl get secret noobaa-admin -n openshift-storage -o json | jq -r '.data.AWS_SECRET_ACCESS_KEY|@base64d')
      alias s3='AWS_ACCESS_KEY_ID=$NOOBAA_ACCESS_KEY AWS_SECRET_ACCESS_KEY=$NOOBAA_SECRET_KEY aws --endpoint https://localhost:10443 --no-verify-ssl s3'
      s3 ls


    Services:
      Service Mgmt:
        External DNS:
          https://noobaa-mgmt-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com
          https://a3406079515be11eaa3b70683061451e-1194613580.us-east-2.elb.amazonaws.com:443
        Internal DNS:
          https://noobaa-mgmt.openshift-storage.svc:443
        Internal IP:
          https://172.30.235.12:443
        Node Ports:
          https://10.0.142.103:31385
        Pod Ports:
          https://10.131.0.19:8443
      serviceS3:
        External DNS: 3
          https://s3-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com
          https://a340f4e1315be11eaa3b70683061451e-943168195.us-east-2.elb.amazonaws.com:443
        Internal DNS:
          https://s3.openshift-storage.svc:443
        Internal IP:
          https://172.30.86.41:443
        Node Ports:
          https://10.0.142.103:31011
        Pod Ports:
          https://10.131.0.19:6443
1
access key (AWS_ACCESS_KEY_ID value)
2
secret access key (AWS_SECRET_ACCESS_KEY value)
3
MCG endpoint
Note

The output from the oc describe noobaa command lists the internal and external DNS names that are available. When using the internal DNS, the traffic is free. The external DNS uses Load Balancing to process the traffic, and therefore has a cost per hour.

6.2.2. Accessing the Multi-Cloud Object Gateway from the MCG command-line interface

Prerequisites

  • Download the MCG command-line interface:

    # subscription-manager repos --enable=rh-ocs-4-for-rhel-8-x86_64-rpms
    # yum install mcg

Procedure

Run the status command to access the endpoint, access key, and secret access key:

noobaa status -n openshift-storage

The output will look similar to the following:

INFO[0000] Namespace: openshift-storage
INFO[0000]
INFO[0000] CRD Status:
INFO[0003] ✅ Exists: CustomResourceDefinition "noobaas.noobaa.io"
INFO[0003] ✅ Exists: CustomResourceDefinition "backingstores.noobaa.io"
INFO[0003] ✅ Exists: CustomResourceDefinition "bucketclasses.noobaa.io"
INFO[0004] ✅ Exists: CustomResourceDefinition "objectbucketclaims.objectbucket.io"
INFO[0004] ✅ Exists: CustomResourceDefinition "objectbuckets.objectbucket.io"
INFO[0004]
INFO[0004] Operator Status:
INFO[0004] ✅ Exists: Namespace "openshift-storage"
INFO[0004] ✅ Exists: ServiceAccount "noobaa"
INFO[0005] ✅ Exists: Role "ocs-operator.v0.0.271-6g45f"
INFO[0005] ✅ Exists: RoleBinding "ocs-operator.v0.0.271-6g45f-noobaa-f9vpj"
INFO[0006] ✅ Exists: ClusterRole "ocs-operator.v0.0.271-fjhgh"
INFO[0006] ✅ Exists: ClusterRoleBinding "ocs-operator.v0.0.271-fjhgh-noobaa-pdxn5"
INFO[0006] ✅ Exists: Deployment "noobaa-operator"
INFO[0006]
INFO[0006] System Status:
INFO[0007] ✅ Exists: NooBaa "noobaa"
INFO[0007] ✅ Exists: StatefulSet "noobaa-core"
INFO[0007] ✅ Exists: Service "noobaa-mgmt"
INFO[0008] ✅ Exists: Service "s3"
INFO[0008] ✅ Exists: Secret "noobaa-server"
INFO[0008] ✅ Exists: Secret "noobaa-operator"
INFO[0008] ✅ Exists: Secret "noobaa-admin"
INFO[0009] ✅ Exists: StorageClass "openshift-storage.noobaa.io"
INFO[0009] ✅ Exists: BucketClass "noobaa-default-bucket-class"
INFO[0009] ✅ (Optional) Exists: BackingStore "noobaa-default-backing-store"
INFO[0010] ✅ (Optional) Exists: CredentialsRequest "noobaa-cloud-creds"
INFO[0010] ✅ (Optional) Exists: PrometheusRule "noobaa-prometheus-rules"
INFO[0010] ✅ (Optional) Exists: ServiceMonitor "noobaa-service-monitor"
INFO[0011] ✅ (Optional) Exists: Route "noobaa-mgmt"
INFO[0011] ✅ (Optional) Exists: Route "s3"
INFO[0011] ✅ Exists: PersistentVolumeClaim "db-noobaa-core-0"
INFO[0011] ✅ System Phase is "Ready"
INFO[0011] ✅ Exists:  "noobaa-admin"

#------------------#
#- Mgmt Addresses -#
#------------------#

1
ExternalDNS : [https://noobaa-mgmt-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com https://a3406079515be11eaa3b70683061451e-1194613580.us-east-2.elb.amazonaws.com:443]
ExternalIP  : []
NodePorts   : [https://10.0.142.103:31385]
InternalDNS : [https://noobaa-mgmt.openshift-storage.svc:443]
InternalIP  : [https://172.30.235.12:443]
PodPorts    : [https://10.131.0.19:8443]

#--------------------#
#- Mgmt Credentials -#
#--------------------#

email    : admin@noobaa.io
password : HKLbH1rSuVU0I/souIkSiA==

#----------------#
#- S3 Addresses -#
#----------------#

ExternalDNS : [https://s3-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com https://a340f4e1315be11eaa3b70683061451e-943168195.us-east-2.elb.amazonaws.com:443]
ExternalIP  : []
NodePorts   : [https://10.0.142.103:31011]
InternalDNS : [https://s3.openshift-storage.svc:443]
InternalIP  : [https://172.30.86.41:443]
PodPorts    : [https://10.131.0.19:6443]

#------------------#
#- S3 Credentials -#
#------------------#

2
AWS_ACCESS_KEY_ID     : jVmAsu9FsvRHYmfjTiHV
3
AWS_SECRET_ACCESS_KEY : E//420VNedJfATvVSmDz6FMtsSAzuBv6z180PT5c

#------------------#
#- Backing Stores -#
#------------------#

NAME                           TYPE     TARGET-BUCKET                                               PHASE   AGE
noobaa-default-backing-store   aws-s3   noobaa-backing-store-15dc896d-7fe0-4bed-9349-5942211b93c9   Ready   141h35m32s

#------------------#
#- Bucket Classes -#
#------------------#

NAME                          PLACEMENT                                                             PHASE   AGE
noobaa-default-bucket-class   {Tiers:[{Placement: BackingStores:[noobaa-default-backing-store]}]}   Ready   141h35m33s

#-----------------#
#- Bucket Claims -#
#-----------------#

No OBC's found.
1
endpoint
2
access key
3
secret access key

You now have the relevant endpoint, access key, and secret access key in order to connect to your applications.

Example 6.1. Example

If AWS S3 CLI is the application, the following command will list buckets in OCS:

AWS_ACCESS_KEY_ID=<AWS_ACCESS_KEY_ID>
AWS_SECRET_ACCESS_KEY=<AWS_SECRET_ACCESS_KEY>
aws --endpoint <ENDPOINT> -- no-verify-ssl s3 ls

6.3. Adding storage resources for hybrid or multi-cloud

6.3.1. Adding storage resources for hybrid or multi-cloud using the MCG command line interface

The Multi-Cloud Object Gateway (MCG) simplifies the process of spanning data across cloud provider and clusters.

To do so, add a backing storage that can be used by the MCG.

For VMWare deployments, skip to Section 6.3.2, “Creating an S3 compatible NooBaa backingstore” for further instructions.

Prerequisites

  • Download the MCG command-line interface:

    # subscription-manager repos --enable=rh-ocs-4-for-rhel-8-x86_64-rpms
    # yum install mcg

Procedure

  1. From the MCG command-line interface, run the following command:

    noobaa backingstore create <backing-store-type> <backingstore_name> --access-key=<AWS ACCESS KEY> --secret-key=<AWS SECRET ACCESS KEY> --target-bucket <bucket-name>
    1. Replace <backing-store-type> with your relevant backing store type: aws-s3, google-cloud-store, azure-blob, or s3-compatible.
    2. Replace <backingstore_name> with the name of the backingstore.
    3. Replace <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> with an AWS access key ID and secret access key you created for this purpose.
    4. Replace <bucket-name> with an existing AWS bucket name. This argument tells NooBaa which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.

      The output will be similar to the following:

      INFO[0001] ✅ Exists: NooBaa "noobaa"
      INFO[0002] ✅ Created: BackingStore "aws-resource"
      INFO[0002] ✅ Created: Secret "backing-store-secret-aws-resource"

You can also add storage resources using a YAML:

  1. Create a secret with the credentials:

    apiVersion: v1
    kind: Secret
    metadata:
      name: <backingstore-secret-name>
    type: Opaque
    data:
      AWS_ACCESS_KEY_ID: <AWS ACCESS KEY ID ENCODED IN BASE64>
      AWS_SECRET_ACCESS_KEY: <AWS SECRET ACCESS KEY ENCODED IN BASE64>
    1. You must supply and encode your own AWS access key ID and secret access key using Base64, and use the results in place of <AWS ACCESS KEY ID ENCODED IN BASE64> and <AWS SECRET ACCESS KEY ENCODED IN BASE64>.
    2. Replace <backingstore-secret-name> with a unique name.
  2. Apply the following YAML for a specific backing store:

    apiVersion: noobaa.io/v1alpha1
    kind: BackingStore
    metadata:
      name: aws-resource
      labels:
        app: noobaa
    spec:
      bucketName: <bucket-name>
      s3Options:
        endpoint: s3.amazonaws.com
      secret:
        name: <backingstore-secret-name>
        namespace: openshift-storage
      type: <backing-store-type>
    1. Replace <bucket-name> with an existing AWS bucket name. This argument tells NooBaa which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
    2. Replace <backingstore-secret-name> with the name of the secret created in the previous step.
    3. Replace <backing-store-type> with your relevant backing store type: aws-s3, google-cloud-store, azure-blob, or s3-compatible.

6.3.2. Creating an S3 compatible NooBaa backingstore

Procedure

  1. From the MCG command-line interface, run the following command:

    noobaa backingstore create s3-compatible rgw_resource --access-key=<RGW ACCESS KEY> --secret-key=<RGW SECRET KEY> --target-bucket=<bucket-name> --endpoint=http://rook-ceph-rgw-ocs-storagecluster-cephobjectstore.openshift-storage:80
    1. To get the <RGW ACCESS KEY> and <RGW SECRET KEY>, run the following command using your RGW user secret name:

      oc get secret <RGW USER SECRET NAME> -o yaml
    2. Decode the access key ID and the access key from Base64 and keep them.
    3. Replace <RGW USER ACCESS KEY> and <RGW USER SECRET ACCESS KEY> with the appropriate, decoded data from the previous step.
    4. Replace <bucket-name> with an existing RGW bucket name. This argument tells NooBaa which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.

      The output will be similar to the following:

      INFO[0001] ✅ Exists: NooBaa "noobaa"
      INFO[0002] ✅ Created: BackingStore "rgw-resource"
      INFO[0002] ✅ Created: Secret "backing-store-secret-rgw-resource"

You can also create the backingstore using a YAML:

  1. Create a CephObjectStore user. This also creates a secret containing the RGW credentials:

    apiVersion: ceph.rook.io/v1
    kind: CephObjectStoreUser
    metadata:
      name: <RGW-Username>
      namespace: openshift-storage
    spec:
      store: ocs-storagecluster-cephobjectstore
      displayName: "<Display-name>"
    1. Replace <RGW-Username> and <Display-name> with a unique username and display name.
  2. Apply the following YAML for an S3-Compatible backing store:

    apiVersion: noobaa.io/v1alpha1
    kind: BackingStore
    metadata:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: <backingstore-name>
      namespace: openshift-storage
    spec:
      s3Compatible:
        endpoint: http://rook-ceph-rgw-ocs-storagecluster-cephobjectstore.openshift-storage
        secret:
          name: <backingstore-secret-name>
          namespace: openshift-storage
        signatureVersion: v4
        targetBucket: <RGW-bucket-name>
      type: s3-compatible
    1. Replace <backingstore-secret-name> with the name of the secret that was created with CephObjectStore in the previous step.
    2. Replace <bucket-name> with an existing RGW bucket name. This argument tells NooBaa which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.

6.3.3. Adding storage resources for hybrid and mulit-cloud using the user interface

Procedure

  1. In your OpenShift Storage console, navigate to DashboardsObject Service → select the noobaa link:

    MCG object service noobaa link
  2. Select the Resources tab in the left, highlighted below. From the list that populates, select Add Cloud Resource:

    MCG add cloud resource
  3. Select Add new connection:

    MCG add new connection
  4. Select the relevant native cloud provider or S3 compatible option and fill in the details:

    MCG add cloud connection
  5. Select the newly created connection and map it to the existing bucket:

    MCG map to existing bucket
  6. Repeat these steps to create as many backing stores as needed.
Note

Resources created in NooBaa UI cannot be used by OpenShift UI or MCG CLI.

6.4. Mirroring data for hybrid and multi-cloud buckets

The Multi-Cloud Object Gateway (MCG) simplifies the process of spanning data across cloud provider and clusters.

Prerequisites

Then you create a bucket class that reflects the data management policy, mirroring.

Procedure

You can set up mirroring data three ways:

6.4.1. Creating bucket classes to mirror data using the MCG command-line-interface

  1. From the MCG command-line interface, run the following command to create a bucket class with a mirroring policy:

    $ noobaa bucketclass create mirror-to-aws --backingstores=azure-resource,aws-resource --placement Mirror
  2. Set the newly created bucket class to a new bucket claim, generating a new bucket that will be mirrored between two locations:

    $ noobaa obc create  mirrored-bucket --bucketclass=mirror-to-aws

6.4.2. Creating bucket classes to mirror data using a YAML

  1. Apply the following YAML. This YAML is a hybrid example that mirrors data between local Ceph storage and AWS:

    apiVersion: noobaa.io/v1alpha1
    kind: BucketClass
    metadata:
      name: hybrid-class
      labels:
        app: noobaa
    spec:
      placementPolicy:
        tiers:
          - tier:
              mirrors:
                - mirror:
                    spread:
                      - cos-east-us
                - mirror:
                    spread:
                      - noobaa-test-bucket-for-ocp201907291921-11247_resource
  2. Add the following lines to your standard Object Bucket Claim (OBC):

    additionalConfig:
      bucketclass: mirror-to-aws

    For more information about OBCs, see Section 2.4, “Object Bucket Claim”.

6.4.3. Configuring buckets to mirror data using the user interface

  1. In your OpenShift Storage console, navigate to DashboardsObject Service → select the noobaa link:

    MCG object service noobaa link
  2. Click the buckets icon on the left side. You will see a list of your buckets:

    MCG noobaa bucket icon
  3. Cick the bucket you want to update.
  4. Click Edit Tier 1 Resources:

    MCG edit tier 1 resources
  5. Select Mirror and check the relevant resources you want to use for this bucket. In the following example, we mirror data between on prem Ceph RGW to AWS:

    MCG mirror relevant resources
  6. Click Save.
Note

Resources created in NooBaa UI cannot be used by OpenShift UI or MCG CLI.

Chapter 7. Updating OpenShift Container Storage

7.1. Enabling automatic updates for OpenShift Container Storage operator

Use this procedure to enable automatic update approval for updating OpenShift Container Storage operator in OpenShift Container Platform.

Prerequisites

  • Update the OpenShift Container Platform cluster to the latest stable release of version 4.2, see Updating Clusters.
  • Ensure that all OpenShift Container Storage nodes are in Ready status.
  • Under Persistent Storage in Health card, confirm that the Ceph cluster is healthy and data is resilient.

Procedure

  1. Log in to OpenShift Web Console.
  2. Click OperatorsInstalled Operators
  3. Select the openshift-storage project.
  4. Click on the OpenShift Container Storage operator name.
  5. Click Subscription tab and click the link under Approval.
  6. Select Automatic (default) and click Save.
  7. Perform one of the following depending on the Upgrade Status:

    • Upgrade Status shows requires approval.

      1. Click on the …​requires approval.
      2. On the InstallPlan Details page, click Preview Install Plan.
      3. Review the install plan and click Approve.
      4. Wait for the Status to change from Unknown to Created.
      5. Click OperatorsInstalled Operators
      6. Select the openshift-storage project.
      7. Wait for the Status to change to Up to date
    • Upgrade Status does not show requires approval:

      1. Wait for the update to initiate. This may take up to 20 minutes.
      2. Click OperatorsInstalled Operators
      3. Select the openshift-storage project.
      4. Wait for the Status to change to Up to date

Verification steps

  1. Click Persistent Storage and in Health card confirm that the Ceph cluster is healthy.
  2. Click OperatorsInstalled OperatorsOpenShift Container Storage Operator.
  3. Under Storage Cluster, verify that the cluster service status in Ready.
  4. If verification steps fail, kindly contact Red Hat Support.

7.2. Manually updating OpenShift Container Storage operator

Use this procedure to update OpenShift Container Storage operator by providing manual approval to the install plan.

Prerequisites

  • Update the OpenShift Container Platform cluster to the latest stable release of version 4.2, see Updating Clusters.
  • Ensure that all OpenShift Container Storage nodes are in Ready status.
  • Under Persistent Storage in Health card, confirm that the Ceph cluster is healthy and data is resilient.

Procedure

  1. Log in to OpenShift Web Console.
  2. Click OperatorsInstalled Operators
  3. Select the openshift-storage project.
  4. Click Subscription tab and click the link under Approval.
  5. Select Manual and click Save.
  6. Wait for the Upgrade Status to change to Upgrading.
  7. If the Upgrade Status shows requires approval, click on requires approval.
  8. On the InstallPlan Details page, click Preview Install Plan.
  9. Review the install plan and click Approve.
  10. Wait for the Status to change from Unknown to Created.
  11. Click OperatorsInstalled Operators
  12. Select the openshift-storage project.
  13. Wait for the Status to change to Up to date

Verification steps

  1. Click Persistent Storage and in Health card confirm that the Ceph cluster is healthy.
  2. Click OperatorsInstalled OperatorsOpenShift Container Storage Operator.
  3. Under Storage Cluster, verify that the cluster service status in Ready.
  4. If verification steps fail, kindly contact Red Hat Support.