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Deploying and managing OpenShift Data Foundation using Red Hat OpenStack Platform

Red Hat OpenShift Data Foundation 4.9

Instructions on deploying and managing OpenShift Data Foundation on Red Hat OpenStack Platform

Red Hat Storage Documentation Team

Abstract

Read this document for instructions about how to install and manage Red Hat OpenShift Data Foundation using Red Hat OpenShift Container Platform on Red Hat OpenStack Platform (RHOSP).
Important
Deploying and managing OpenShift Data Foundation on Red Hat OpenStack Platform is a Technology Preview feature. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

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Preface

Red Hat OpenShift Data Foundation 4.9 supports deployment on existing Red Hat OpenShift Container Platform (RHOCP) using Red Hat OpenStack Platform clusters.

Note

Both internal and external OpenShift Data Foundation clusters are supported on Red Hat OpenStack Platform. See Planning your deployment for more information about deployment requirements.

To deploy OpenShift Data Foundation, start with the requirements in Preparing to deploy OpenShift Data Foundation chapter and then follow the appropriate deployment process based on your requirement:

Chapter 1. Preparing to deploy OpenShift Data Foundation

Deploying OpenShift Data Foundation on OpenShift Container Platform using dynamic storage devices provides you with the option to create internal cluster resources. This will result in the internal provisioning of the base services, which helps to make additional storage classes available to applications.

Before you begin the deployment of Red Hat OpenShift Data Foundation, follow these steps:

  1. Optional: If you want to enable cluster-wide encryption using an external Key Management System (KMS):

  2. Minimum starting node requirements [Technology Preview]

    An OpenShift Data Foundation cluster will be deployed with minimum configuration when the standard deployment resource requirement is not met. See Resource requirements section in Planning guide.

  3. Regional-DR requirements [Developer Preview]

    Disaster Recovery features supported by Red Hat OpenShift Data Foundation require all of the following prerequisites in order to successfully implement a Disaster Recovery solution:

    • A valid Red Hat OpenShift Data Foundation Advanced subscription
    • A valid Red Hat Advanced Cluster Management for Kubernetes subscription

      For detailed requirements, see Regional-DR requirements and RHACM requirements.

1.1. Enabling key value backend path and policy in Vault

Prerequisites

  • Administrator access to Vault.
  • Carefully, choose a unique path name as the backend path that follows the naming convention since it cannot be changed later.

Procedure

  1. Enable the Key/Value (KV) backend path in Vault.

    For Vault KV secret engine API, version 1:

    $ vault secrets enable -path=odf kv

    For Vault KV secret engine API, version 2:

    $ vault secrets enable -path=odf kv-v2
  2. Create a policy to restrict users to perform a write or delete operation on the secret using the following commands.

    echo '
    path "odf/*" {
      capabilities = ["create", "read", "update", "delete", "list"]
    }
    path "sys/mounts" {
    capabilities = ["read"]
    }'| vault policy write odf -
  3. Create a token matching the above policy.

    $ vault token create -policy=odf -format json

Chapter 2. Deploying OpenShift Data Foundation on Red Hat OpenStack Platform in internal mode

Deploying OpenShift Data Foundation on OpenShift Container Platform in internal mode using dynamic storage devices provided by Red Hat OpenStack Platform installer-provisioned infrastructure (IPI) enables you to create internal cluster resources. This results in internal provisioning of the base services, which helps to make additional storage classes available to applications.

Ensure that you have addressed the requirements in Preparing to deploy OpenShift Data Foundation chapter before proceeding with the below steps for deploying using dynamic storage devices:

2.1. Installing Red Hat OpenShift Data Foundation Operator

You can install Red Hat OpenShift Data Foundation Operator using the Red Hat OpenShift Container Platform Operator Hub.

Prerequisites

  • Access to an OpenShift Container Platform cluster using an account with cluster-admin and Operator installation permissions.
  • You must have at least three worker nodes in the Red Hat OpenShift Container Platform cluster.
  • For additional resource requirements, see the Planning your deployment guide.
Important
  • When you need to override the cluster-wide default node selector for OpenShift Data Foundation, you can use the following command in the command line interface to specify a blank node selector for the openshift-storage namespace (create openshift-storage namespace in this case):

    $ oc annotate namespace openshift-storage openshift.io/node-selector=
  • Taint a node as infra to ensure only Red Hat OpenShift Data Foundation resources are scheduled on that node. This helps you save on subscription costs. For more information, see How to use dedicated worker nodes for Red Hat OpenShift Data Foundation chapter in the Managing and Allocating Storage Resources guide.

Procedure

  1. Log in to the OpenShift Web Console.
  2. Click Operators → OperatorHub.
  3. Scroll or type OpenShift Data Foundation into the Filter by keyword box to find the OpenShift Data Foundation Operator.
  4. Click Install.
  5. Set the following options on the Install Operator page:

    1. Update Channel as stable-4.9.
    2. Installation Mode as A specific namespace on the cluster.
    3. Installed Namespace as Operator recommended namespace openshift-storage. If Namespace openshift-storage does not exist, it is created during the operator installation.
    4. Select Approval Strategy as Automatic or Manual.

      If you select Automatic updates, then the Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without any intervention.

      If you select Manual updates, then the OLM creates an update request. As a cluster administrator, you must then manually approve that update request to update the Operator to a newer version.

    5. Ensure that the Enable option is selected for the Console plugin.
    6. Click Install.
Note

We recommend using all default settings. Changing it may result in unexpected behavior. Alter only if you are aware of its result.

Verification steps

  • Verify that the OpenShift Data Foundation Operator shows a green tick indicating successful installation.
  • After the operator is successfully installed, a pop-up with a message, Web console update is available appears on the user interface. Click Refresh web console from this pop-up for the console changes to reflect.

    • In the Web Console, navigate to Operators and verify if OpenShift Data Foundation is available.
Important

In case the console plugin option was not automatically enabled after you installed the OpenShift Data Foundation Operator, you need to enable it.

For more information on how to enable the console plugin, see Enabling the Red Hat OpenShift Data Foundation console plugin.

2.2. Creating an OpenShift Data Foundation cluster

Create an OpenShift Data Foundation cluster after you install the OpenShift Data Foundation operator.

Prerequisites

Procedure

  1. In the OpenShift Web Console, click Operators → Installed Operators to view all the installed operators.

    Ensure that the Project selected is openshift-storage.

  2. Click on the OpenShift Data Foundation operator, and then click Create StorageSystem.
  3. In the Backing storage page, select the following:

    1. Select the Use an existing StorageClass option.
    2. Select the Storage Class.

      By default, it is set to standard.

    3. Expand Advanced and select Full Deployment for the Deployment type option.
    4. Click Next.
  4. In the Capacity and nodes page, provide the necessary information:

    1. Select a value for Requested Capacity from the dropdown list. It is set to 2 TiB by default.

      Note

      Once you select the initial storage capacity, cluster expansion is performed only using the selected usable capacity (three times of raw storage).

    2. In the Select Nodes section, select at least three available nodes.

      For cloud platforms with multiple availability zones, ensure that the Nodes are spread across different Locations/availability zones.

      If the nodes selected do not match the OpenShift Data Foundation cluster requirement of an aggregated 30 CPUs and 72 GiB of RAM, a minimal cluster is deployed. For minimum starting node requirements, see the Resource requirements section in the Planning guide.

    3. Click Next.
  5. Optional: In the Security and network page, configure the following based on your requirements:

    1. To enable encryption, select Enable data encryption for block and file storage.
    2. Choose either one or both the encryption levels:

      • Cluster-wide encryption

        Encrypts the entire cluster (block and file).

      • StorageClass encryption

        Creates encrypted persistent volume (block only) using encryption enabled storage class.

    3. Select the Connect to an external key management service checkbox. This is optional for cluster-wide encryption.

      1. Key Management Service Provider is set to Vault by default.
      2. Enter Vault Service Name, host Address of Vault server ('https://<hostname or ip>'), Port number and Token.
      3. Expand Advanced Settings to enter additional settings and certificate details based on your Vault configuration:

        1. Enter the Key Value secret path in Backend Path that is dedicated and unique to OpenShift Data Foundation.
        2. Optional: Enter TLS Server Name and Vault Enterprise Namespace.
        3. Upload the respective PEM encoded certificate file to provide the CA Certificate, Client Certificate and Client Private Key .
        4. Click Save.
    4. Click Next.
  6. In the Review and create page, review the configuration details.

    To modify any configuration settings, click Back.

  7. Click Create StorageSystem.

Verification steps

  • To verify the final Status of the installed storage cluster:

    1. In the OpenShift Web Console, navigate to Installed OperatorsOpenShift Data FoundationStorage Systemocs-storagecluster-storagesystemResources.
    2. Verify that Status of StorageCluster is Ready and has a green tick mark next to it.
  • To verify that OpenShift Data Foundation is successfully installed, see Verifying your OpenShift Data Foundation installation.

Additional resources

To enable Overprovision Control alerts, refer to Alerts in Monitoring guide.

2.3. Verifying OpenShift Data Foundation deployment

Use this section to verify that OpenShift Data Foundation is deployed correctly.

2.3.1. Verifying the state of the pods

Procedure

  1. Click Workloads → Pods from the OpenShift Web Console.
  2. Select openshift-storage from the Project drop-down list.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

    For more information about the expected number of pods for each component and how it varies depending on the number of nodes, see Table 2.1, “Pods corresponding to OpenShift Data Foundation cluster”.

  3. Click the Running and Completed tabs to verify that the following pods are in Running and Completed state:

    Table 2.1. Pods corresponding to OpenShift Data Foundation cluster

    ComponentCorresponding pods

    OpenShift Data Foundation Operator

    • ocs-operator-* (1 pod on any worker node)
    • ocs-metrics-exporter-* (1 pod on any worker node)
    • odf-operator-controller-manager-* (1 pod on any worker node)
    • odf-console-* (1 pod on any worker node)

    Rook-ceph Operator

    rook-ceph-operator-*

    (1 pod on any worker node)

    Multicloud Object Gateway

    • noobaa-operator-* (1 pod on any worker node)
    • noobaa-core-* (1 pod on any storage node)
    • noobaa-db-pg-* (1 pod on any storage node)
    • noobaa-endpoint-* (1 pod on any storage node)

    MON

    rook-ceph-mon-*

    (3 pods distributed across storage nodes)

    MGR

    rook-ceph-mgr-*

    (1 pod on any storage node)

    MDS

    rook-ceph-mds-ocs-storagecluster-cephfilesystem-*

    (2 pods distributed across storage nodes)

    CSI

    • cephfs

      • csi-cephfsplugin-* (1 pod on each worker node)
      • csi-cephfsplugin-provisioner-* (2 pods distributed across worker nodes)
    • rbd

      • csi-rbdplugin-* (1 pod on each worker node)
      • csi-rbdplugin-provisioner-* (2 pods distributed across worker nodes)

    rook-ceph-crashcollector

    rook-ceph-crashcollector-*

    (1 pod on each storage node)

    OSD

    • rook-ceph-osd-* (1 pod for each device)
    • rook-ceph-osd-prepare-ocs-deviceset-* (1 pod for each device)

2.3.2. Verifying the OpenShift Data Foundation cluster is healthy

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.
  3. In the Status card of the Block and File tab, verify that Storage Cluster has a green tick.
  4. In the Details card, verify that the cluster information is displayed.

For more information on the health of the OpenShift Data Foundation cluster using the Block and File dashboard, see Monitoring OpenShift Data Foundation.

2.3.3. Verifying the Multicloud Object Gateway is healthy

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.

    1. In the Status card of the Object tab, verify that both Object Service and Data Resiliency have a green tick.
    2. In the Details card, verify that the MCG information is displayed.

For more information on the health of the OpenShift Data Foundation cluster using the object service dashboard, see Monitoring OpenShift Data Foundation.

2.3.4. Verifying that the OpenShift Data Foundation specific storage classes exist

Procedure

  1. Click Storage → Storage Classes from the left pane of the OpenShift Web Console.
  2. Verify that the following storage classes are created with the OpenShift Data Foundation cluster creation:

    • ocs-storagecluster-ceph-rbd
    • ocs-storagecluster-cephfs
    • openshift-storage.noobaa.io

2.4. Uninstalling OpenShift Data Foundation

2.4.1. Uninstalling OpenShift Data Foundation in Internal mode

To uninstall OpenShift Data Foundation in Internal mode, refer to the knowledge base article on Uninstalling OpenShift Data Foundation.

Chapter 3. Deploying OpenShift Data Foundation on Red Hat OpenStack Platform in external mode

Red Hat OpenShift Data Foundation can use an externally hosted Red Hat Ceph Storage (RHCS) cluster as the storage provider on Red Hat OpenStack Platform. See Planning your deployment for more information.

For instructions regarding how to install a RHCS 4 cluster, see Installation guide.

Follow these steps to deploy OpenShift Data Foundation in external mode:

3.1. Installing Red Hat OpenShift Data Foundation Operator

You can install Red Hat OpenShift Data Foundation Operator using the Red Hat OpenShift Container Platform Operator Hub.

Prerequisites

  • Access to an OpenShift Container Platform cluster using an account with cluster-admin and Operator installation permissions.
  • You must have at least three worker nodes in the Red Hat OpenShift Container Platform cluster.
  • For additional resource requirements, see the Planning your deployment guide.
Important
  • When you need to override the cluster-wide default node selector for OpenShift Data Foundation, you can use the following command in the command line interface to specify a blank node selector for the openshift-storage namespace (create openshift-storage namespace in this case):

    $ oc annotate namespace openshift-storage openshift.io/node-selector=
  • Taint a node as infra to ensure only Red Hat OpenShift Data Foundation resources are scheduled on that node. This helps you save on subscription costs. For more information, see How to use dedicated worker nodes for Red Hat OpenShift Data Foundation chapter in the Managing and Allocating Storage Resources guide.

Procedure

  1. Log in to the OpenShift Web Console.
  2. Click Operators → OperatorHub.
  3. Scroll or type OpenShift Data Foundation into the Filter by keyword box to find the OpenShift Data Foundation Operator.
  4. Click Install.
  5. Set the following options on the Install Operator page:

    1. Update Channel as stable-4.9.
    2. Installation Mode as A specific namespace on the cluster.
    3. Installed Namespace as Operator recommended namespace openshift-storage. If Namespace openshift-storage does not exist, it is created during the operator installation.
    4. Select Approval Strategy as Automatic or Manual.

      If you select Automatic updates, then the Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without any intervention.

      If you select Manual updates, then the OLM creates an update request. As a cluster administrator, you must then manually approve that update request to update the Operator to a newer version.

    5. Ensure that the Enable option is selected for the Console plugin.
    6. Click Install.
Note

We recommend using all default settings. Changing it may result in unexpected behavior. Alter only if you are aware of its result.

Verification steps

  • Verify that the OpenShift Data Foundation Operator shows a green tick indicating successful installation.
  • After the operator is successfully installed, a pop-up with a message, Web console update is available appears on the user interface. Click Refresh web console from this pop-up for the console changes to reflect.

    • In the Web Console, navigate to Operators and verify if OpenShift Data Foundation is available.
Important

In case the console plugin option was not automatically enabled after you installed the OpenShift Data Foundation Operator, you need to enable it.

For more information on how to enable the console plugin, see Enabling the Red Hat OpenShift Data Foundation console plugin.

3.2. Creating an OpenShift Data foundation Cluster for external mode

You need to create a new OpenShift Data Foundation cluster after you install OpenShift Data Foundation operator on OpenShift Container Platform deployed on Red Hat OpenStack platform.

Prerequisites

  • Ensure the OpenShift Container Platform version is 4.8 or above before deploying OpenShift Data Foundation 4.8.
  • OpenShift Data Foundation operator must be installed. For more information, see Installing OpenShift Data Foundation Operator using the Operator Hub.
  • Red Hat Ceph Storage version 4.2z1 or later is required for the external cluster. For more information, see this knowledge base article on Red Hat Ceph Storage releases and corresponding Ceph package versions.

    If you have updated the Red Hat Ceph Storage cluster from a version lower than 4.1.1 to the latest release and is not a freshly deployed cluster, you must manually set the application type for CephFS pool on the Red Hat Ceph Storage cluster to enable CephFS PVC creation in external mode.

    For more details, see Troubleshooting CephFS PVC creation in external mode.

  • Red Hat Ceph Storage must have Ceph Dashboard installed and configured. For more information, see Ceph Dashboard installation and access.
  • Red Hat recommends that the external Red Hat Ceph Storage cluster has the PG Autoscaler enabled. For more information, see The placement group autoscaler section in the Red Hat Ceph Storage documentation.
  • The external Ceph cluster should have an existing RBD pool pre-configured for use. If it does not exist, contact your Red Hat Ceph Storage administrator to create one before you move ahead with OpenShift Data Foundation deployment. Red Hat recommends to use a separate pool for each OpenShift Data Foundation cluster.

Procedure

  1. Click Operators → Installed Operators to view all the installed operators.

    Ensure that the Project selected is openshift-storage.

  2. Click OpenShift Data FoundationCreate Instance link of Storage Cluster.
  3. Select Mode as External. By default, Internal is selected as deployment mode.

    Figure 3.1. Connect to external cluster section on Create Storage Cluster form

    Screenshot shows connect to external cluster section after you select mode as external where you can download the python script and then upload the RHCS json file.
  4. In the Connect to external cluster section, click on the Download Script link to download the python script for extracting Ceph cluster details.
  5. For extracting the Red Hat Ceph Storage (RHCS) cluster details, contact the RHCS administrator to run the downloaded python script on a Red Hat Ceph Storage node with admin key.

    1. Run the following command on the RHCS node to view the list of available arguments.

      # python3 ceph-external-cluster-details-exporter.py --help
      Important

      Use python instead of python3 if the Red Hat Ceph Storage 4.x cluster is deployed on Red Hat Enterprise Linux 7.x (RHEL 7.x) cluster.

      Note

      You can also run the script from inside a MON container (containerized deployment) or from a MON node (rpm deployment).

    2. To retrieve the external cluster details from the RHCS cluster, run the following command

      # python3 ceph-external-cluster-details-exporter.py \
      --rbd-data-pool-name <rbd block pool name>  [optional arguments]

      For example:

      # python3 ceph-external-cluster-details-exporter.py --rbd-data-pool-name ceph-rbd --monitoring-endpoint xxx.xxx.xxx.xxx --monitoring-endpoint-port xxxx --rgw-endpoint xxx.xxx.xxx.xxx:xxxx --run-as-user client.ocs

      In the above example,

      • --rbd-data-pool-name is a mandatory parameter used for providing block storage in OpenShift Data Foundation.
      • --rgw-endpoint is optional. Provide this parameter if object storage is to be provisioned through Ceph Rados Gateway for OpenShift Data Foundation. Provide the endpoint in the following format: <ip_address>:<port>
      • --monitoring-endpoint is optional. It is the IP address of the active ceph-mgr reachable from the OpenShift Container Platform cluster. If not provided, the value is automatically populated.
      • --monitoring-endpoint-port is optional. It is the port associated with the ceph-mgr Prometheus exporter specified by --monitoring-endpoint. If not provided, the value is automatically populated.
      • -- run-as-user is an optional parameter used for providing a name for the Ceph user which is created by the script. If this parameter is not specified, a default user name client.healthchecker is created. The permissions for the new user is set as:

        • caps: [mgr] allow command config
        • caps: [mon] allow r, allow command quorum_status, allow command version
        • caps: [osd] allow rwx pool=RGW_POOL_PREFIX.rgw.meta, allow r pool=.rgw.root, allow rw pool=RGW_POOL_PREFIX.rgw.control, allow rx pool=RGW_POOL_PREFIX.rgw.log, allow x pool=RGW_POOL_PREFIX.rgw.buckets.index

          Example of JSON output generated using the python script:

          [{"name": "rook-ceph-mon-endpoints", "kind": "ConfigMap", "data": {"data": "xxx.xxx.xxx.xxx:xxxx", "maxMonId": "0", "mapping": "{}"}}, {"name": "rook-ceph-mon", "kind": "Secret", "data": {"admin-secret": "admin-secret", "fsid": "<fs-id>", "mon-secret": "mon-secret"}}, {"name": "rook-ceph-operator-creds", "kind": "Secret", "data": {"userID": "client.healthchecker", "userKey": "<user-key>"}}, {"name": "rook-csi-rbd-node", "kind": "Secret", "data": {"userID": "csi-rbd-node", "userKey": "<user-key>"}}, {"name": "ceph-rbd", "kind": "StorageClass", "data": {"pool": "ceph-rbd"}}, {"name": "monitoring-endpoint", "kind": "CephCluster", "data": {"MonitoringEndpoint": "xxx.xxx.xxx.xxx", "MonitoringPort": "xxxx"}}, {"name": "rook-csi-rbd-provisioner", "kind": "Secret", "data": {"userID": "csi-rbd-provisioner", "userKey": "<user-key>"}}, {"name": "rook-csi-cephfs-provisioner", "kind": "Secret", "data": {"adminID": "csi-cephfs-provisioner", "adminKey": "<admin-key>"}}, {"name": "rook-csi-cephfs-node", "kind": "Secret", "data": {"adminID": "csi-cephfs-node", "adminKey": "<admin-key>"}}, {"name": "cephfs", "kind": "StorageClass", "data": {"fsName": "cephfs", "pool": "cephfs_data"}}, {"name": "ceph-rgw", "kind": "StorageClass", "data": {"endpoint": "xxx.xxx.xxx.xxx:xxxx", "poolPrefix": "default"}}]

    3. Save the JSON output to a file with .json extension

      Note

      For OpenShift Data Foundation to work seamlessly, ensure that the parameters (RGW endpoint, CephFS details, RBD pool, and so on) to be uploaded using the JSON file remains unchanged on the RHCS external cluster after the storage cluster creation.

  6. Click External cluster metadata → Browse to select and upload the JSON file.

    The content of the JSON file is populated and displayed in the text box.

    Figure 3.2. Json file content

    Screenshot shows the content of the credentials file after it is uploaded
  7. Click Create.

    The Create button is enabled only after you upload the .json file.

Verification steps

  1. Verify that the final Status of the installed storage cluster shows as Phase: Ready with a green tick mark.

    • Click Operators → Installed Operators → Storage Cluster link to view the storage cluster installation status.
    • Alternatively, when you are on the Operator Details tab, you can click on the Storage Cluster tab to view the status.
  2. To verify that OpenShift Data Foundation, pods and StorageClass are successfully installed, see Verifying your external mode OpenShift Data Foundation installation.

3.3. Verifying your OpenShift Data Foundation installation for external mode

Use this section to verify that OpenShift Data Foundation is deployed correctly.

3.3.1. Verifying the state of the pods

  1. Click Workloads → Pods from the left pane of the OpenShift Web Console.
  2. Select openshift-storage from the Project drop-down list.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

    For more information on the expected number of pods for each component and how it varies depending on the number of nodes, see Table 3.1, “Pods corresponding to OpenShift Data Foundation components”

  3. Verify that the following pods are in running state:

    Table 3.1. Pods corresponding to OpenShift Data Foundation components

    ComponentCorresponding pods

    OpenShift Data Foundation Operator

    • ocs-operator-* (1 pod on any worker node)
    • ocs-metrics-exporter-* (1 pod on any worker node)
    • odf-operator-controller-manager-* (1 pod on any worker node)
    • odf-console-* (1 pod on any worker node)

    Rook-ceph Operator

    rook-ceph-operator-*

    (1 pod on any worker node)

    Multicloud Object Gateway

    • noobaa-operator-* (1 pod on any worker node)
    • noobaa-core-* (1 pod on any worker node)
    • noobaa-db-pg-* (1 pod on any worker node)
    • noobaa-endpoint-* (1 pod on any worker node)

    CSI

    • cephfs

      • csi-cephfsplugin-* (1 pod on each worker node)
      • csi-cephfsplugin-provisioner-* (2 pods distributed across worker nodes)
    Note

    If an MDS is not deployed in the external cluster, the csi-cephfsplugin pods will not be created.

    • rbd

      • csi-rbdplugin-* (1 pod on each worker node)
      • csi-rbdplugin-provisioner-* (2 pods distributed across worker nodes)

3.3.2. Verifying that the OpenShift Data Foundation cluster is healthy

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.
  3. In the Status card of the Block and File tab, verify that both Storage Cluster and Data Resiliency have a green tick.
  4. In the Details card, verify that the cluster information is displayed as follows.

    + Service Name:: OpenShift Data Foundation Cluster Name:: ocs-external-storagecluster Provider:: OpenStack Mode:: External Version:: ocs-operator-4.9.0

For more information on the health of OpenShift Data Foundation cluster using the Block and File dashboard, see Monitoring OpenShift Data Foundation.

3.3.3. Verifying that the Multicloud Object Gateway is healthy

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.

    1. In the Status card of the Object tab, verify that both Object Service and Data Resiliency have a green tick.
    2. In the Details card, verify that the Multicloud Object Gateway (MCG) information is displayed.
Note

The RADOS Object Gateway is only listed in case RADOS Object Gateway endpoint details were included while deploying OpenShift Data Foundation in external mode.

For more information on the health of OpenShift Data Foundation cluster using the object dashboard, see Monitoring OpenShift Data Foundation.

3.3.4. Verifying that the storage classes are created and listed

  • Click Storage → Storage Classes from the left pane of the OpenShift Web Console.
  • Verify that the following storage classes are created with the OpenShift Data Foundation cluster creation:

    • ocs-external-storagecluster-ceph-rbd
    • ocs-external-storagecluster-ceph-rgw
    • ocs-external-storagecluster-cephfs
    • openshift-storage.noobaa.io
Note
  • If MDS is not deployed in the external cluster, ocs-external-storagecluster-cephfs storage class will not be created.
  • If RGW is not deployed in the external cluster, the ocs-external-storagecluster-ceph-rgw storage class will not be created.

For more information regarding MDS and RGW, see Red Hat Ceph Storage documentation

3.3.5. Verifying that Ceph cluster is connected

Run the following command to verify if the OpenShift Data Foundation cluster is connected to the external Red Hat Ceph Storage cluster.

$ oc get cephcluster -n openshift-storage
NAME                                      DATADIRHOSTPATH     MONCOUNT    AGE      PHASE       MESSAGE                         HEALTH
ocs-external-storagecluster-cephcluster                                   31m15s   Connected   Cluster connected successfully  HEALTH_OK

3.3.6. Verifying that storage cluster is ready

Run the following command to verify if the storage cluster is ready and the External option is set to true.

$ oc get storagecluster -n openshift-storage
NAME                        AGE      PHASE EXTERNAL  CREATED AT              VERSION
ocs-external-storagecluster 31m15s   Ready true      2021-02-29T20:43:04Z    4.8.0

3.4. Uninstalling OpenShift Data Foundation

3.4.1. Uninstalling OpenShift Data Foundation from external storage system

Use the steps in this section to uninstall OpenShift Data Foundation. Uninstalling OpenShift Data Foundation does not remove the RBD pool from the external cluster, or uninstall the external Red Hat Ceph Storage cluster.

Uninstall Annotations

Annotations on the Storage Cluster are used to change the behavior of the uninstall process. To define the uninstall behavior, the following two annotations have been introduced in the storage cluster:

  • uninstall.ocs.openshift.io/cleanup-policy: delete
  • uninstall.ocs.openshift.io/mode: graceful
Note

The uninstall.ocs.openshift.io/cleanup-policy is not applicable for external mode.

The below table provides information on the different values that can used with these annotations:

Table 3.2. uninstall.ocs.openshift.io uninstall annotations descriptions

AnnotationValueDefaultBehavior

cleanup-policy

delete

Yes

Rook cleans up the physical drives and the DataDirHostPath

cleanup-policy

retain

No

Rook does not clean up the physical drives and the DataDirHostPath

mode

graceful

Yes

Rook and NooBaa pauses the uninstall process until the PVCs and the OBCs are removed by the administrator/user

mode

forced

No

Rook and NooBaa proceeds with uninstall even if PVCs/OBCs provisioned using Rook and NooBaa exist respectively

You can change the uninstall mode by editing the value of the annotation by using the following commands:

$ oc annotate storagecluster ocs-external-storagecluster -n openshift-storage uninstall.ocs.openshift.io/mode="forced" --overwrite
storagecluster.ocs.openshift.io/ocs-external-storagecluster annotated

Prerequisites

  • Ensure that the OpenShift Data Foundation cluster is in a healthy state. The uninstall process can fail when some of the pods are not terminated successfully due to insufficient resources or nodes. In case the cluster is in an unhealthy state, contact Red Hat Customer Support before uninstalling OpenShift Data Foundation.
  • Ensure that applications are not consuming persistent volume claims (PVCs) or object bucket claims (OBCs) using the storage classes provided by OpenShift Data Foundation.

Procedure

  1. Delete the volume snapshots that are using OpenShift Data Foundation.

    1. List the volume snapshots from all the namespaces

      $ oc get volumesnapshot --all-namespaces
    2. From the output of the previous command, identify and delete the volume snapshots that are using OpenShift Data Foundation.

      $ oc delete volumesnapshot <VOLUME-SNAPSHOT-NAME> -n <NAMESPACE>
  2. Delete PVCs and OBCs that are using OpenShift Data Foundation.

    In the default uninstall mode (graceful), the uninstaller waits till all the PVCs and OBCs that use OpenShift Data Foundation are deleted.

    If you wish to delete the Storage Cluster without deleting the PVCs beforehand, you may set the uninstall mode annotation to "forced" and skip this step. Doing so will result in orphan PVCs and OBCs in the system.

    1. Delete OpenShift Container Platform monitoring stack PVCs using OpenShift Data Foundation.

      See Removing monitoring stack from OpenShift Data Foundation

    2. Delete OpenShift Container Platform Registry PVCs using OpenShift Data Foundation.

      Removing OpenShift Container Platform registry from OpenShift Data Foundation

    3. Delete OpenShift Container Platform logging PVCs using OpenShift Data Foundation.

      Removing the cluster logging operator from OpenShift Data Foundation

    4. Delete other PVCs and OBCs provisioned using OpenShift Data Foundation.

      • Given below is a sample script to identify the PVCs and OBCs provisioned using OpenShift Data Foundation. The script ignores the PVCs and OBCs that are used internally by OpenShift Data Foundation.

        #!/bin/bash
        
        RBD_PROVISIONER="openshift-storage.rbd.csi.ceph.com"
        CEPHFS_PROVISIONER="openshift-storage.cephfs.csi.ceph.com"
        NOOBAA_PROVISIONER="openshift-storage.noobaa.io/obc"
        RGW_PROVISIONER="openshift-storage.ceph.rook.io/bucket"
        
        NOOBAA_DB_PVC="noobaa-db"
        NOOBAA_BACKINGSTORE_PVC="noobaa-default-backing-store-noobaa-pvc"
        
        # Find all the OCS StorageClasses
        OCS_STORAGECLASSES=$(oc get storageclasses | grep -e "$RBD_PROVISIONER" -e "$CEPHFS_PROVISIONER" -e "$NOOBAA_PROVISIONER" -e "$RGW_PROVISIONER" | awk '{print $1}')
        
        # List PVCs in each of the StorageClasses
        for SC in $OCS_STORAGECLASSES
        do
                echo "======================================================================"
                echo "$SC StorageClass PVCs and OBCs"
                echo "======================================================================"
                oc get pvc  --all-namespaces --no-headers 2>/dev/null | grep $SC | grep -v -e "$NOOBAA_DB_PVC" -e "$NOOBAA_BACKINGSTORE_PVC"
                oc get obc  --all-namespaces --no-headers 2>/dev/null | grep $SC
                echo
        done
      • Delete the OBCs.

        $ oc delete obc <obc name> -n <project name>
      • Delete the PVCs.

        $ oc delete pvc <pvc name> -n <project-name>

        Ensure that you have removed any custom backing stores, bucket classes, and so on that are created in the cluster.

  3. Delete the Storage Cluster object and wait for the removal of the associated resources.

    $ oc delete -n openshift-storage storagesystem --all --wait=true
  4. Delete the namespace and wait until the deletion is complete. You will need to switch to another project if openshift-storage is the active project.

    For example:

    $ oc project default
    $ oc delete project openshift-storage --wait=true --timeout=5m

    The project is deleted if the following command returns a NotFound error.

    $ oc get project openshift-storage
    Note

    While uninstalling OpenShift Data Foundation, if the namespace is not deleted completely and remains in Terminating state, perform the steps in Troubleshooting and deleting remaining resources during Uninstall to identify objects that are blocking the namespace from being terminated.

  5. Confirm all PVs provisioned using OpenShift Data Foundation are deleted. If there is any PV left in the Released state, delete it.

    $ oc get pv
    $ oc delete pv <pv name>
  6. Remove CustomResourceDefinitions.

    $ oc delete crd backingstores.noobaa.io bucketclasses.noobaa.io cephblockpools.ceph.rook.io cephclusters.ceph.rook.io cephfilesystems.ceph.rook.io cephnfses.ceph.rook.io cephobjectstores.ceph.rook.io cephobjectstoreusers.ceph.rook.io noobaas.noobaa.io ocsinitializations.ocs.openshift.io storageclusters.ocs.openshift.io cephclients.ceph.rook.io cephobjectrealms.ceph.rook.io cephobjectzonegroups.ceph.rook.io cephobjectzones.ceph.rook.io cephrbdmirrors.ceph.rook.io storagesystems.odf.openshift.io --wait=true --timeout=5m
  7. To ensure that OpenShift Data Foundation is uninstalled completely:

    1. In the OpenShift Container Platform Web Console, click Storage.
    2. Verify that OpenShift Data Foundation no longer appears under Storage.

3.4.2. Removing monitoring stack from OpenShift Data Foundation

Use this section to clean up the monitoring stack from OpenShift Data Foundation.

The PVCs that are created as a part of configuring the monitoring stack are in the openshift-monitoring namespace.

Prerequisites

Procedure

  1. List the pods and PVCs that are currently running in the openshift-monitoring namespace.

    $ oc get pod,pvc -n openshift-monitoring
    NAME                           READY   STATUS    RESTARTS   AGE
    pod/alertmanager-main-0         3/3     Running   0          8d
    pod/alertmanager-main-1         3/3     Running   0          8d
    pod/alertmanager-main-2         3/3     Running   0          8d
    pod/cluster-monitoring-
    operator-84457656d-pkrxm        1/1     Running   0          8d
    pod/grafana-79ccf6689f-2ll28    2/2     Running   0          8d
    pod/kube-state-metrics-
    7d86fb966-rvd9w                 3/3     Running   0          8d
    pod/node-exporter-25894         2/2     Running   0          8d
    pod/node-exporter-4dsd7         2/2     Running   0          8d
    pod/node-exporter-6p4zc         2/2     Running   0          8d
    pod/node-exporter-jbjvg         2/2     Running   0          8d
    pod/node-exporter-jj4t5         2/2     Running   0          6d18h
    pod/node-exporter-k856s         2/2     Running   0          6d18h
    pod/node-exporter-rf8gn         2/2     Running   0          8d
    pod/node-exporter-rmb5m         2/2     Running   0          6d18h
    pod/node-exporter-zj7kx         2/2     Running   0          8d
    pod/openshift-state-metrics-
    59dbd4f654-4clng                3/3     Running   0          8d
    pod/prometheus-adapter-
    5df5865596-k8dzn                1/1     Running   0          7d23h
    pod/prometheus-adapter-
    5df5865596-n2gj9                1/1     Running   0          7d23h
    pod/prometheus-k8s-0            6/6     Running   1          8d
    pod/prometheus-k8s-1            6/6     Running   1          8d
    pod/prometheus-operator-
    55cfb858c9-c4zd9                1/1     Running   0          6d21h
    pod/telemeter-client-
    78fc8fc97d-2rgfp                3/3     Running   0          8d
    
    NAME                                                              STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS                  AGE
    persistentvolumeclaim/my-alertmanager-claim-alertmanager-main-0   Bound    pvc-0d519c4f-15a5-11ea-baa0-026d231574aa   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   8d
    persistentvolumeclaim/my-alertmanager-claim-alertmanager-main-1   Bound    pvc-0d5a9825-15a5-11ea-baa0-026d231574aa   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   8d
    persistentvolumeclaim/my-alertmanager-claim-alertmanager-main-2   Bound    pvc-0d6413dc-15a5-11ea-baa0-026d231574aa   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   8d
    persistentvolumeclaim/my-prometheus-claim-prometheus-k8s-0        Bound    pvc-0b7c19b0-15a5-11ea-baa0-026d231574aa   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   8d
    persistentvolumeclaim/my-prometheus-claim-prometheus-k8s-1        Bound    pvc-0b8aed3f-15a5-11ea-baa0-026d231574aa   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   8d
  2. Edit the monitoring configmap.

    $ oc -n openshift-monitoring edit configmap cluster-monitoring-config

    Remove any config sections that reference the OpenShift Data Foundation storage classes as shown in the following example and save it.

    Before editing

    .
    .
    .
    apiVersion: v1
    data:
      config.yaml: |
        alertmanagerMain:
          volumeClaimTemplate:
            metadata:
              name: my-alertmanager-claim
            spec:
              resources:
                requests:
                  storage: 40Gi
              storageClassName: ocs-external-storagecluster-ceph-rbd
        prometheusK8s:
          volumeClaimTemplate:
            metadata:
              name: my-prometheus-claim
            spec:
              resources:
                requests:
                  storage: 40Gi
              storageClassName: ocs-external-storagecluster-ceph-rbd
    kind: ConfigMap
    metadata:
      creationTimestamp: "2019-12-02T07:47:29Z"
      name: cluster-monitoring-config
      namespace: openshift-monitoring
      resourceVersion: "22110"
      selfLink: /api/v1/namespaces/openshift-monitoring/configmaps/cluster-monitoring-config
      uid: fd6d988b-14d7-11ea-84ff-066035b9efa8
    
    
    .
    .
    .

    After editing

    .
    .
    .
    apiVersion: v1
    data:
      config.yaml: |
    kind: ConfigMap
    metadata:
      creationTimestamp: "2019-11-21T13:07:05Z"
      name: cluster-monitoring-config
      namespace: openshift-monitoring
      resourceVersion: "404352"
      selfLink: /api/v1/namespaces/openshift-monitoring/configmaps/cluster-monitoring-config
      uid: d12c796a-0c5f-11ea-9832-063cd735b81c
    .
    .
    .

    In this example, alertmanagerMain and prometheusK8s monitoring components are using the OpenShift Data Foundation PVCs.

  3. List the pods consuming the PVC.

    In this example, the alertmanagerMain and prometheusK8s pods that were consuming the PVCs are in the Terminating state. You can delete the PVCs once these pods are no longer using OpenShift Data Foundation PVC.

    $ oc get pod,pvc -n openshift-monitoring
    NAME                                               READY   STATUS      RESTARTS AGE
    pod/alertmanager-main-0                            3/3     Terminating   0      10h
    pod/alertmanager-main-1                            3/3     Terminating   0      10h
    pod/alertmanager-main-2                            3/3     Terminating   0      10h
    pod/cluster-monitoring-operator-84cd9df668-zhjfn   1/1     Running       0      18h
    pod/grafana-5db6fd97f8-pmtbf                       2/2     Running       0      10h
    pod/kube-state-metrics-895899678-z2r9q             3/3     Running       0      10h
    pod/node-exporter-4njxv                            2/2     Running       0      18h
    pod/node-exporter-b8ckz                            2/2     Running       0      11h
    pod/node-exporter-c2vp5                            2/2     Running       0      18h
    pod/node-exporter-cq65n                            2/2     Running       0      18h
    pod/node-exporter-f5sm7                            2/2     Running       0      11h
    pod/node-exporter-f852c                            2/2     Running       0      18h
    pod/node-exporter-l9zn7                            2/2     Running       0      11h
    pod/node-exporter-ngbs8                            2/2     Running       0      18h
    pod/node-exporter-rv4v9                            2/2     Running       0      18h
    pod/openshift-state-metrics-77d5f699d8-69q5x       3/3     Running       0      10h
    pod/prometheus-adapter-765465b56-4tbxx             1/1     Running       0      10h
    pod/prometheus-adapter-765465b56-s2qg2             1/1     Running       0      10h
    pod/prometheus-k8s-0                               6/6     Terminating   1      9m47s
    pod/prometheus-k8s-1                               6/6     Terminating   1      9m47s
    pod/prometheus-operator-cbfd89f9-ldnwc             1/1     Running       0      43m
    pod/telemeter-client-7b5ddb4489-2xfpz              3/3     Running       0      10h
    
    NAME                                                      STATUS  VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS                  AGE
    persistentvolumeclaim/ocs-alertmanager-claim-alertmanager-main-0   Bound    pvc-2eb79797-1fed-11ea-93e1-0a88476a6a64   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   19h
    persistentvolumeclaim/ocs-alertmanager-claim-alertmanager-main-1   Bound    pvc-2ebeee54-1fed-11ea-93e1-0a88476a6a64   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   19h
    persistentvolumeclaim/ocs-alertmanager-claim-alertmanager-main-2   Bound    pvc-2ec6a9cf-1fed-11ea-93e1-0a88476a6a64   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   19h
    persistentvolumeclaim/ocs-prometheus-claim-prometheus-k8s-0        Bound    pvc-3162a80c-1fed-11ea-93e1-0a88476a6a64   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   19h
    persistentvolumeclaim/ocs-prometheus-claim-prometheus-k8s-1        Bound    pvc-316e99e2-1fed-11ea-93e1-0a88476a6a64   40Gi       RWO            ocs-external-storagecluster-ceph-rbd   19h
  4. Delete relevant PVCs. Make sure you delete all the PVCs that are consuming the storage classes.

    $ oc delete -n openshift-monitoring pvc <pvc-name> --wait=true --timeout=5m

3.4.3. Removing OpenShift Container Platform registry from OpenShift Data Foundation

Use this section to clean up OpenShift Container Platform registry from OpenShift Data Foundation. If you want to configure an alternative storage, see image registry

The PVCs that are created as a part of configuring OpenShift Container Platform registry are in the openshift-image-registry namespace.

Prerequisites

  • The image registry should have been configured to use an OpenShift Data Foundation PVC.

Procedure

  1. Edit the configs.imageregistry.operator.openshift.io object and remove the content in the storage section.

    $ oc edit configs.imageregistry.operator.openshift.io

    Before editing

    .
    .
    .
    storage:
      pvc:
        claim: registry-cephfs-rwx-pvc
    .
    .
    .

    After editing

    .
    .
    .
    storage:
      emptyDir: {}
    .
    .
    .

    In this example, the PVC is called registry-cephfs-rwx-pvc, which is now safe to delete.

  2. Delete the PVC.

    $ oc delete pvc <pvc-name> -n openshift-image-registry --wait=true --timeout=5m

3.4.4. Removing the cluster logging operator from OpenShift Data Foundation

Use this section to clean up the cluster logging operator from OpenShift Data Foundation.

The Persistent Volume Claims (PVCs) that are created as a part of configuring the cluster logging operator are in the openshift-logging namespace.

Prerequisites

  • The cluster logging instance should have been configured to use the OpenShift Data Foundation PVCs.

Procedure

  1. Remove the ClusterLogging instance in the namespace.

    $ oc delete clusterlogging instance -n openshift-logging --wait=true --timeout=5m

    The PVCs in the openshift-logging namespace are now safe to delete.

  2. Delete the PVCs.

    $ oc delete pvc <pvc-name> -n openshift-logging --wait=true --timeout=5m
    <pvc-name>
    Is the name of the PVC

Chapter 4. Deploy standalone Multicloud Object Gateway in internal mode

Deploying only the Multicloud Object Gateway component with the OpenShift Data Foundation provides the flexibility in deployment and helps to reduce the resource consumption. Use this section to deploy only the standalone Multicloud Object Gateway component in internal mode, which involves the following steps:

  • Installing Red Hat OpenShift Data Foundation Operator
  • Creating standalone Multicloud Object Gateway
Note

Deploying standalone Multicloud Object Gateway component is not supported in external mode deployments.

4.1. Installing Red Hat OpenShift Data Foundation Operator

You can install Red Hat OpenShift Data Foundation Operator using the Red Hat OpenShift Container Platform Operator Hub.

Prerequisites

  • Access to an OpenShift Container Platform cluster using an account with cluster-admin and Operator installation permissions.
  • You must have at least three worker nodes in the Red Hat OpenShift Container Platform cluster.
  • For additional resource requirements, see the Planning your deployment guide.
Important
  • When you need to override the cluster-wide default node selector for OpenShift Data Foundation, you can use the following command in the command line interface to specify a blank node selector for the openshift-storage namespace (create openshift-storage namespace in this case):

    $ oc annotate namespace openshift-storage openshift.io/node-selector=
  • Taint a node as infra to ensure only Red Hat OpenShift Data Foundation resources are scheduled on that node. This helps you save on subscription costs. For more information, see How to use dedicated worker nodes for Red Hat OpenShift Data Foundation chapter in the Managing and Allocating Storage Resources guide.

Procedure

  1. Log in to the OpenShift Web Console.
  2. Click Operators → OperatorHub.
  3. Scroll or type OpenShift Data Foundation into the Filter by keyword box to find the OpenShift Data Foundation Operator.
  4. Click Install.
  5. Set the following options on the Install Operator page:

    1. Update Channel as stable-4.9.
    2. Installation Mode as A specific namespace on the cluster.
    3. Installed Namespace as Operator recommended namespace openshift-storage. If Namespace openshift-storage does not exist, it is created during the operator installation.
    4. Select Approval Strategy as Automatic or Manual.

      If you select Automatic updates, then the Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without any intervention.

      If you select Manual updates, then the OLM creates an update request. As a cluster administrator, you must then manually approve that update request to update the Operator to a newer version.

    5. Ensure that the Enable option is selected for the Console plugin.
    6. Click Install.
Note

We recommend using all default settings. Changing it may result in unexpected behavior. Alter only if you are aware of its result.

Verification steps

  • Verify that the OpenShift Data Foundation Operator shows a green tick indicating successful installation.
  • After the operator is successfully installed, a pop-up with a message, Web console update is available appears on the user interface. Click Refresh web console from this pop-up for the console changes to reflect.

    • In the Web Console, navigate to Operators and verify if OpenShift Data Foundation is available.
Important

In case the console plugin option was not automatically enabled after you installed the OpenShift Data Foundation Operator, you need to enable it.

For more information on how to enable the console plugin, see Enabling the Red Hat OpenShift Data Foundation console plugin.

4.2. Creating standalone Multicloud Object Gateway

Use this section to create only the Multicloud Object Gateway component with OpenShift Data Foundation.

Prerequisites

  • Ensure that OpenShift Data Foundation Operator is installed.
  • (For deploying using local storage devices only) Ensure that Local Storage Operator is installed.
  • Ensure that you have a storage class and is set as the default.

Procedure

  1. In the OpenShift Web Console, click OperatorsInstalled Operators to view all the installed operators.

    Ensure that the Project selected is openshift-storage.

  2. Click OpenShift Data Foundation operator and then click Create StorageSystem.
  3. In the Backing storage page, expand Advanced.
  4. Select Multicloud Object Gateway for Deployment type.
  5. Click Next.
  6. Optional: In the Security page, select Connect to an external key management service.

    1. Key Management Service Provider is set to Vault by default.
    2. Enter Vault Service Name, host Address of Vault server ('https://<hostname or ip>'), Port number, and Token.
    3. Expand Advanced Settings to enter additional settings and certificate details based on your Vault configuration:

      1. Enter the Key Value secret path in the Backend Path that is dedicated and unique to OpenShift Data Foundation.
      2. Optional: Enter TLS Server Name and Vault Enterprise Namespace.
      3. Upload the respective PEM encoded certificate file to provide the CA Certificate, Client Certificate, and Client Private Key.
      4. Click Save.
    4. Click Next.
  7. In the Review and create page, review the configuration details:

    To modify any configuration settings, click Back.

  8. Click Create StorageSystem.

Verification steps

Verifying that the OpenShift Data Foundation cluster is healthy
  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.

    1. In the Status card of the Object tab, verify that both Object Service and Data Resiliency have a green tick.
    2. In the Details card, verify that the MCG information is displayed.
Verify the state of the pods
  1. Click WorkloadsPods from the OpenShift Web Console.
  2. Select openshift-storage from the Project drop-down list and verify that the following pods are in Running state.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

    ComponentCorresponding pods

    OpenShift Data Foundation Operator

    • ocs-operator-* (1 pod on any worker node)
    • ocs-metrics-exporter-* (1 pod on any worker node)
    • odf-operator-controller-manager-* (1 pod on any worker node)
    • odf-console-* (1 pod on any worker node)

    Rook-ceph Operator

    rook-ceph-operator-*

    (1 pod on any worker node)

    Multicloud Object Gateway

    • noobaa-operator-* (1 pod on any worker node)
    • noobaa-core-* (1 pod on any worker node)
    • noobaa-db-pg-* (1 pod on any worker node)
    • noobaa-endpoint-* (1 pod on any worker node)

Chapter 5. Storage classes and storage pools

The OpenShift Data Foundation operator installs a default storage class depending on the platform in use. This default storage class is owned and controlled by the operator and it cannot be deleted or modified. However, you can create a custom storage class if you want the storage class to have a different behavior.

You can create multiple storage pools which map to storage classes that provide the following features:

  • Enable applications with their own high availability to use persistent volumes with two replicas, potentially improving application performance.
  • Save space for persistent volume claims using storage classes with compression enabled.
Note

Multiple storage classes and multiple pools are not supported for external mode OpenShift Data Foundation clusters.

Note

With a minimal cluster of a single device set, only two new storage classes can be created. Every storage cluster expansion allows two new additional storage classes.

5.1. Creating storage classes and pools

You can create a storage class using an existing pool or you can create a new pool for the storage class while creating it.

Prerequisites

  • Ensure that you are logged into the OpenShift Container Platform web console and OpenShift Data Foundation cluster is in Ready state.

Procedure

  1. Click StorageStorageClasses.
  2. Click Create Storage Class.
  3. Enter the storage class Name and Description.
  4. Select either Delete or Retain for the Reclaim Policy. By default, Delete is selected.
  5. Select RBD Provisioner which is the plugin used for provisioning the persistent volumes.
  6. Select an existing Storage Pool from the list or create a new pool.

    Create new pool
    1. Click Create New Pool.
    2. Enter Pool name.
    3. Choose 2-way-Replication or 3-way-Replication as the Data Protection Policy.
    4. Select Enable compression if you need to compress the data.

      Enabling compression can impact application performance and might prove ineffective when data to be written is already compressed or encrypted. Data written before enabling compression will not be compressed.

    5. Click Create to create the new storage pool.
    6. Click Finish after the pool is created.
  7. Optional: Select Enable Encryption checkbox.
  8. Click Create to create the storage class.

5.2. Creating a storage class for persistent volume encryption

Persistent volume (PV) encryption guarantees isolation and confidentiality between tenants (applications). Before you can use PV encryption, you must create a storage class for PV encryption.

OpenShift Data Foundation supports storing encryption passphrases in HashiCorp Vault. Use the following procedure to create an encryption enabled storage class using an external key management system (KMS) for persistent volume encryption. Persistent volume encryption is only available for RBD PVs. You can configure access to the KMS in two different ways:

  • Using vaulttokens: allows users to authenticate using a token
  • Using vaulttenantsa (technology preview): allows users to use serviceaccounts to authenticate with Vault
Important

Accessing the KMS using vaulttenantsa is a Technology Preview feature. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information, see Technology Preview Features Support Scope.

See the relevant prerequisites section for your use case before following the procedure for creating the storage class:

5.2.1. Prerequisites for using vaulttokens

  • The OpenShift Data Foundation cluster is in Ready state.
  • On the external key management system (KMS),

    • Ensure that a policy with a token exists and the key value backend path in Vault is enabled. For more information, see Enabling key value and policy in Vault.
    • Ensure that you are using signed certificates on your Vault servers.
  • Create a secret in the tenant’s namespace as follows:

    • On the OpenShift Container Platform web console, navigate to Workloads → Secrets.
    • Click Create → Key/value secret.
    • Enter Secret Name as ceph-csi-kms-token.
    • Enter Key as token.
    • Enter Value. It is the token from Vault. You can either click Browse to select and upload the file containing the token or enter the token directly in the text box.
    • Click Create.
Note

The token can be deleted only after all the encrypted PVCs using the ceph-csi-kms-token have been deleted.

Next, follow the steps in Section 5.2.3, “Procedure for creating a storage class for PV encryption”.

5.2.2. Prerequisites for using vaulttenantsa

  • The OpenShift Data Foundation cluster is in Ready state.
  • On the external key management system (KMS),

    • Ensure that a policy exists and the key value backend path in Vault is enabled. For more information, see Enabling key value and policy in Vault.
    • Ensure that you are using signed certificates on your Vault servers.
  • Create the following serviceaccount in the tenant namespace as shown below:

    $ cat <<EOF | oc create -f -
    apiVersion: v1
    kind: ServiceAccount
    metadata:
        name: ceph-csi-vault-sa
    EOF
  • The Kubernetes authentication method must be configured before OpenShift Data Foundation can authenticate with and start using Vault. The instructions below create and configure serviceAccount, ClusterRole, and ClusterRoleBinding required to allow OpenShift Data Foundation to authenticate with Vault.

    1. Apply the following YAML to your Openshift cluster:

      apiVersion: v1
      kind: ServiceAccount
      metadata:
        name: rbd-csi-vault-token-review
      ---
      kind: ClusterRole
      apiVersion: rbac.authorization.k8s.io/v1
      metadata:
        name: rbd-csi-vault-token-review
      rules:
        - apiGroups: ["authentication.k8s.io"]
          resources: ["tokenreviews"]
          verbs: ["create", "get", "list"]
      
      ---
      kind: ClusterRoleBinding
      apiVersion: rbac.authorization.k8s.io/v1
      metadata:
        name: rbd-csi-vault-token-review
      subjects:
        - kind: ServiceAccount
          name: rbd-csi-vault-token-review
          namespace: openshift-storage
      roleRef:
        kind: ClusterRole
        name: rbd-csi-vault-token-review
        apiGroup: rbac.authorization.k8s.io
    2. Identify the secret name associated with the serviceaccount (SA) created above:

      $ oc -n openshift-storage get sa rbd-csi-vault-token-review -o jsonpath="{.secrets[*]['name']}"
    3. Get the token and the CA certificate from the secret:

      $ oc get secret <secret associated with SA> -o jsonpath="{.data['token']}" | base64 --decode; echo
      $ oc get secret <secret associated with SA> -o jsonpath="{.data['ca\.crt']}" | base64 --decode; echo
    4. Retrieve the OCP cluster endpoint:

      $ oc config view --minify --flatten -o jsonpath="{.clusters[0].cluster.server}"
    5. Use the information collected in the steps above to setup the kubernetes authentication method in Vault as shown below:

      $ vault auth enable kubernetes
      $ vault write auth/kubernetes/config token_reviewer_jwt=<SA token> kubernetes_host=<OCP cluster endpoint> kubernetes_ca_cert=<SA CA certificate>
    6. Create a role in Vault for the tenant namespace:

      $ vault write "auth/kubernetes/role/csi-kubernetes" bound_service_account_names="ceph-csi-vault-sa" bound_service_account_namespaces=<tenant_namespace> policies=<policy_name_in_vault>

      csi-kubernetes is the default role name that OpenShift Data Foundation looks for in Vault. The default service account name in the tenant namespace in the Openshift Data Foundation cluster is ceph-csi-vault-sa. These default values can be overridden by creating a ConfigMap in the tenant namespace.

      For more information about overriding the default names, see Overriding Vault connection details using tenant ConfigMap.

  • In order to create a storageclass that uses the vaulttenantsa method for PV encrytpion, you must either edit the existing ConfigMap or create a ConfigMap named csi-kms-connection-details that will hold all the information needed to establish the connection with Vault.

    The sample yaml given below can be used to update or create the csi-kms-connection-detail ConfigMap:

    apiVersion: v1
    data:
      vault-tenant-sa: |-
        {
          "encryptionKMSType": "vaulttenantsa",
          "vaultAddress": "<https://hostname_or_ip_of_vault_server:port>",
          "vaultTLSServerName": "<vault TLS server name>",
          "vaultAuthPath": "/v1/auth/kubernetes/login",
          "vaultAuthNamespace": "<vault auth namespace name>"
          "vaultNamespace": "<vault namespace name>",
          "vaultBackendPath": "<vault backend path name>",
          "vaultCAFromSecret": "<secret containing CA cert>",
          "vaultClientCertFromSecret": "<secret containing client cert>",
          "vaultClientCertKeyFromSecret": "<secret containing client private key>",
          "tenantSAName": "<service account name in the tenant namespace>"
        }
    metadata:
      name: csi-kms-connection-details
    • encryptionKMSType: should be set to vaulttenantsa to use service accounts for authentication with vault.
    • vaultAddress: The hostname or IP address of the vault server with the port number.
    • vaultTLSServerName: (Optional) The vault TLS server name
    • vaultAuthPath: (Optional) The path where kubernetes auth method is enabled in Vault. The default path is kubernetes. If the auth method is enabled in a different path other than kubernetes, this variable needs to be set as "/v1/auth/<path>/login".
    • vaultAuthNamespace: (Optional) The Vault namespace where kubernetes auth method is enabled.
    • vaultNamespace: (Optional) The Vault namespace where the backend path being used to store the keys exists
    • vaultBackendPath: The backend path in Vault where the encryption keys will be stored
    • vaultCAFromSecret: The secret in the OpenShift Data Foundation cluster containing the CA certificate from Vault
    • vaultClientCertFromSecret: The secret in the OpenShift Data Foundation cluster containing the client certificate from Vault
    • vaultClientCertKeyFromSecret: The secret in the OpenShift Data Foundation cluster containing the client private key from Vault
    • tenantSAName: (Optional) The service account name in the tenant namespace. The default value is ceph-csi-vault-sa. If a different name is to be used, this variable has to be set accordingly.

Next, follow the steps in Section 5.2.3, “Procedure for creating a storage class for PV encryption”.

5.2.3. Procedure for creating a storage class for PV encryption

After performing the required prerequisites for either vaulttokens or vaulttenantsa, perform the steps below to create a storageclass with encryption enabled.

  1. Navigate to StorageStorageClasses.
  2. Click Create Storage Class.
  3. Enter the storage class Name and Description.
  4. Select either Delete or Retain for the Reclaim Policy. By default, Delete is selected.
  5. Select either Immediate or WaitForFirstConsumer as the Volume binding mode. WaitForConsumer is set as the default option.
  6. Select RBD Provisioner openshift-storage.rbd.csi.ceph.com which is the plugin used for provisioning the persistent volumes.
  7. Select Storage Pool where the volume data is stored from the list or create a new pool.
  8. Select the Enable encryption checkbox. There are two options available to set the KMS connection details:

    • Choose existing KMS connection: Select an existing KMS connection from the drop-down list. The list is populated from the the connection details available in the csi-kms-connection-details ConfigMap.
    • Create new KMS connection: This is applicable for vaulttokens only.

      1. Key Management Service Provider is set to Vault by default.
      2. Enter a unique Vault Service Name, host Address of the Vault server (https://<hostname or ip>), and Port number.
      3. Expand Advanced Settings to enter additional settings and certificate details based on your Vault configuration.

        1. Enter the key value secret path in Backend Path that is dedicated and unique to OpenShift Data Foundation.
        2. Optional: Enter TLS Server Name and Vault Enterprise Namespace.
        3. Provide CA CertificateClient Certificate and Client Private Key by uploading the respective PEM encoded certificate file.
        4. Click Save.
      4. Click Save.
  9. Click Create.
  10. Edit the ConfigMap to add the VAULT_BACKEND or vaultBackend parameter if the HashiCorp Vault setup does not allow automatic detection of the Key/Value (KV) secret engine API version used by the backend path.

    Note

    VAULT_BACKEND or vaultBackend are optional parameters that has added to the configmap to specify the version of the KV secret engine API associated with the backend path. Ensure that the value matches the KV secret engine API version that is set for the backend path, otherwise it might result in a failure during persistent volume claim (PVC) creation.

    1. Identify the encryptionKMSID being used by the newly created storage class.

      1. On the OpenShift Web Console, navigate to StorageStorage Classes.
      2. Click the Storage class name → YAML tab.
      3. Capture the encryptionKMSID being used by the storage class.

        Example:

        encryptionKMSID: 1-vault
    2. On the OpenShift Web Console, navigate to WorkloadsConfigMaps.
    3. To view the KMS connection details, click csi-kms-connection-details.
    4. Edit the ConfigMap.

      1. Click Action menu (⋮)Edit ConfigMap.
      2. Add the VAULT_BACKEND or vaultBackend parameter depending on the backend that is configured for the previously identified encryptionKMSID.

        You can assign kv for KV secret engine API, version 1 and kv-v2 for KV secret engine API, version 2.

        Example:

         kind: ConfigMap
         apiVersion: v1
         metadata:
           name: csi-kms-connection-details
         [...]
         data:
           1-vault: |-
             {
               "KMS_PROVIDER": "vaulttokens",
               "KMS_SERVICE_NAME": "1-vault",
               [...]
               "VAULT_BACKEND": "kv-v2"
             }
           2-vault: |-
             {
               "encryptionKMSType": "vaulttenantsa",
               [...]
               "vaultBackend": "kv-v2"
             }
      3. Click Save

Next steps

  • The storage class can be used to create encrypted persistent volumes. For more information, see managing persistent volume claims.

    Important

    Red Hat works with the technology partners to provide this documentation as a service to the customers. However, Red Hat does not provide support for the HashiCorp product. For technical assistance with this product, contact HashiCorp.

5.2.3.1. Overriding Vault connection details using tenant ConfigMap

The Vault connections details can be reconfigured per tenant by creating a ConfigMap in the Openshift namespace with configuration options that differ from the values set in the csi-kms-connection-details ConfigMap in the openshift-storage namespace. The ConfigMap needs to be located in the tenant namespace. The values in the ConfigMap in the tenant namespace will override the values set in the csi-kms-connection-details ConfigMap for the encrypted Persistent Volumes created in that namespace.

Procedure

  1. Ensure that you are in the tenant namespace.
  2. Click on Workloads → ConfigMaps.
  3. Click on Create ConfigMap.
  4. The following is a sample yaml. The values to be overidden for the given tenant namespace can be specified under the data section as shown below:

    ---
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: ceph-csi-kms-config
    data:
      vaultAddress: "<vault_address:port>"
      vaultBackendPath: "<backend_path>"
      vaultTLSServerName: "<vault_tls_server_name>"
      vaultNamespace: "<vault_namespace>"
  5. Once the yaml is edited, click on Create.

Chapter 6. Configure storage for OpenShift Container Platform services

You can use OpenShift Data Foundation 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 Data Foundation 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 the Curator schedule and the Modifying retention time for Prometheus metrics data sub section of Configuring persistent storage in the OpenShift Container Platform documentation for details.

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

6.1. Configuring Image Registry to use OpenShift Data Foundation

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.

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 Data Foundation 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.
  • A storage class with provisioner openshift-storage.cephfs.csi.ceph.com is available. In OpenShift Web Console, click Storage → StorageClasses to view available storage classes.

Procedure

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

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

      1. From the list of available storage classes retrieved above, specify the Storage Class with the provisioner openshift-storage.cephfs.csi.ceph.com.
      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.

6.2. Configuring monitoring to use OpenShift Data Foundation

OpenShift Data Foundation provides a monitoring stack that comprises of Prometheus and Alert Manager.

Follow the instructions in this section to configure OpenShift Data Foundation 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 interval for this service. See the Modifying retention time for Prometheus metrics data of Monitoring guide in the OpenShift Container Platform documentation for details.

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Data Foundation Operator is installed and running in the openshift-storage namespace. In the OpenShift Web Console, click OperatorsInstalled Operators to view installed operators.
  • Monitoring Operator is installed and running in the openshift-monitoring namespace. In the OpenShift Web Console, click AdministrationCluster SettingsCluster Operators to view cluster operators.
  • A storage class with provisioner openshift-storage.rbd.csi.ceph.com is available. In the OpenShift Web Console, click Storage → StorageClasses to view available storage classes.

Procedure

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

    Replace the storageClassName with the storageclass that uses the provisioner openshift-storage.rbd.csi.ceph.com. In the example given below the name of the storageclass is ocs-storagecluster-ceph-rbd.

    Example cluster-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.

      Figure 6.1. 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. Go to WorkloadsPods.
    2. Click the new alertmanager-main-* pods to view the pod details.
    3. 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.

      Figure 6.2. 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.

      Figure 6.3. Persistent Volume Claims attached to prometheus-k8s-* pod

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

6.3. Cluster logging for OpenShift Data Foundation

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 Data Foundation 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 Data Foundation to have OpenShift Data Foundation 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 Cluster logging curator in the OpenShift Container Platform documentation for details.

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

6.3.1. 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.

6.3.2. Configuring cluster logging to use OpenShift data Foundation

Follow the instructions in this section to configure OpenShift Data Foundation as storage for the OpenShift cluster logging.

Note

You can obtain all the logs when you configure logging for the first time in OpenShift Data Foundation. 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 Data Foundation 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 storageClassName with the storageclass that uses the provisioner openshift-storage.rbd.csi.ceph.com. In the example given below the name of the storageclass is ocs-storagecluster-ceph-rbd:

    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 # Change as per your requirement
          redundancyPolicy: "SingleRedundancy"
      visualization:
        type: "kibana"
        kibana:
          replicas: 1
      curation:
        type: "curator"
        curator:
          schedule: "30 3 * * *"
      collection:
        logs:
          type: "fluentd"
          fluentd: {}

    If you have tainted the OpenShift Data Foundation nodes, you must add toleration to enable scheduling of the daemonset pods for logging.

    spec:
    [...]
      collection:
        logs:
          fluentd:
            tolerations:
            - effect: NoSchedule
              key: node.ocs.openshift.io/storage
              value: 'true'
          type: 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 6.4. 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 PersistentVolumeClaim 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 the cluster logging backed by Persistent Volume Claim, use the procedure removing the cluster logging operator from OpenShift Data Foundation in the uninstall chapter of the respective deployment guide.

Chapter 7. Backing OpenShift Container Platform applications with OpenShift Data Foundation

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

Prerequisites

  • OpenShift Container Platform is installed and you have administrative access to OpenShift Web Console.
  • OpenShift Data Foundation 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 the appropriate CephFS or RBD 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 can expand the block PVs but cannot reduce 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 which you added storage to display 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 Persistent Volume Claim Overview page.

Chapter 8. How to use dedicated worker nodes for Red Hat OpenShift Data Foundation

Any Red Hat OpenShift Container Platform subscription requires an OpenShift Data Foundation subscription. However, you can save on the OpenShift Container Platform subscription costs if you are using infrastructure nodes to schedule OpenShift Data Foundation resources.

It is important to maintain consistency across environments with or without Machine API support. Because of this, it is highly recommended in all cases to have a special category of nodes labeled as either worker or infra or have both roles. See the Section 8.3, “Manual creation of infrastructure nodes” section for more information.

8.1. Anatomy of an Infrastructure node

Infrastructure nodes for use with OpenShift Data Foundation have a few attributes. The infra node-role label is required to ensure the node does not consume RHOCP entitlements. The infra node-role label is responsible for ensuring only OpenShift Data Foundation entitlements are necessary for the nodes running OpenShift Data Foundation.

  • Labeled with node-role.kubernetes.io/infra

Adding an OpenShift Data Foundation taint with a NoSchedule effect is also required so that the infra node will only schedule OpenShift Data Foundation resources.

  • Tainted with node.ocs.openshift.io/storage="true"

The label identifies the RHOCP node as an infra node so that RHOCP subscription cost is not applied. The taint prevents non OpenShift Data Foundation resources to be scheduled on the tainted nodes.

Example of the taint and labels required on infrastructure node that will be used to run OpenShift Data Foundation services:

    spec:
      taints:
      - effect: NoSchedule
        key: node.ocs.openshift.io/storage
        value: "true"
      metadata:
        creationTimestamp: null
        labels:
          node-role.kubernetes.io/worker: ""
          node-role.kubernetes.io/infra: ""
          cluster.ocs.openshift.io/openshift-storage: ""

8.2. Machine sets for creating Infrastructure nodes

If the Machine API is supported in the environment, then labels should be added to the templates for the Machine Sets that will be provisioning the infrastructure nodes. Avoid the anti-pattern of adding labels manually to nodes created by the machine API. Doing so is analogous to adding labels to pods created by a deployment. In both cases, when the pod/node fails, the replacement pod/node will not have the appropriate labels.

Note

In EC2 environments, you will need three machine sets, each configured to provision infrastructure nodes in a distinct availability zone (such as us-east-2a, us-east-2b, us-east-2c). Currently, OpenShift Data Foundation does not support deploying in more than three availability zones.

The following Machine Set template example creates nodes with the appropriate taint and labels required for infrastructure nodes. This will be used to run OpenShift Data Foundation services.

  template:
    metadata:
      creationTimestamp: null
      labels:
        machine.openshift.io/cluster-api-cluster: kb-s25vf
        machine.openshift.io/cluster-api-machine-role: worker
        machine.openshift.io/cluster-api-machine-type: worker
        machine.openshift.io/cluster-api-machineset: kb-s25vf-infra-us-west-2a
    spec:
      taints:
      - effect: NoSchedule
        key: node.ocs.openshift.io/storage
        value: "true"
      metadata:
        creationTimestamp: null
        labels:
          node-role.kubernetes.io/infra: ""
          cluster.ocs.openshift.io/openshift-storage: ""

8.3. Manual creation of infrastructure nodes

Only when the Machine API is not supported in the environment should labels be directly applied to nodes. Manual creation requires that at least 3 RHOCP worker nodes are available to schedule OpenShift Data Foundation services, and that these nodes have sufficient CPU and memory resources. To avoid the RHOCP subscription cost, the following is required:

oc label node <node> node-role.kubernetes.io/infra=""
oc label node <node> cluster.ocs.openshift.io/openshift-storage=""

Adding a NoSchedule OpenShift Data Foundation taint is also required so that the infra node will only schedule OpenShift Data Foundation resources and repel any other non-OpenShift Data Foundation workloads.

oc adm taint node <node> node.ocs.openshift.io/storage="true":NoSchedule
Warning

Do not remove the node-role node-role.kubernetes.io/worker=""

The removal of the node-role.kubernetes.io/worker="" can cause issues unless changes are made both to the OpenShift scheduler and to MachineConfig resources.

If already removed, it should be added again to each infra node. Adding node-role node-role.kubernetes.io/infra="" and OpenShift Data Foundation taint is sufficient to conform to entitlement exemption requirements.

Chapter 9. Scaling storage nodes

To scale the storage capacity of OpenShift Data Foundation, you can do either of the following:

  • Scale up storage nodes - Add storage capacity to the existing OpenShift Data Foundation worker nodes
  • Scale out storage nodes - Add new worker nodes containing storage capacity

9.1. Requirements for scaling storage nodes

Before you proceed to scale the storage nodes, refer to the following sections to understand the node requirements for your specific Red Hat OpenShift Data Foundation instance:

Warning

Always ensure that you have plenty of storage capacity.

If storage ever fills completely, it is not possible to add capacity or 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.

9.2. Scaling up storage by adding capacity to your OpenShift Data Foundation nodes on Red Hat OpenStack Platform infrastructure

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

Prerequisites

  • A running OpenShift Data Foundation Platform.
  • Administrative privileges on the OpenShift Web Console.
  • To scale using a storage class other than the one provisioned during deployment, first define an additional storage class. See Creating a storage class for details.

Procedure

  1. Log in to the OpenShift Web Console.
  2. Click Operators → Installed Operators.
  3. Click OpenShift Data Foundation Operator.
  4. Click the Storage Systems tab.

    1. Click the Action Menu (⋮) on the far right of the storage system name to extend the options menu.
    2. Select Add Capacity from the options menu.
    3. Select the Storage Class.

The storage class should be set to standard if you are using the default storage class generated during deployment. If you have created other storage classes, select whichever is appropriate.

+ The Raw Capacity field shows the size set during storage class creation. The total amount of storage consumed is three times this amount, because OpenShift Data Foundation uses a replica count of 3.

  1. Click Add.

    1. To check the status, navigate to StorageOpenShift Data Foundation and verify that Storage System in the Status card has a green tick.

Verification steps

  • Verify the Raw Capacity card.

    1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
    2. In the Status card of the Overview tab, click Storage System and then click the storage system link from the pop up that appears.
    3. In the Block and File tab, check the Raw Capacity card.

      Note that the capacity increases based on your selections.

      Note

      The raw capacity does not take replication into account and shows the full capacity.

  • Verify that the new OSDs and their corresponding new Persistent Volume Claims (PVCs) are created.

    • To view the state of the newly created OSDs:

      1. Click WorkloadsPods from the OpenShift Web Console.
      2. Select openshift-storage from the Project drop-down list.

        Note

        If the Show default projects option is disabled, use the toggle button to list all the default projects.

    • To view the state of the PVCs:

      1. Click StoragePersistent Volume Claims from the OpenShift Web Console.
      2. Select openshift-storage from the Project drop-down list.

        Note

        If the Show default projects option is disabled, use the toggle button to list all the default projects.

  • Optional: If cluster-wide encryption is enabled on the cluster, verify that the new OSD devices are encrypted.

    1. Identify the nodes where the new OSD pods are running.

      $ oc get -o=custom-columns=NODE:.spec.nodeName pod/<OSD-pod-name>
      <OSD-pod-name>

      Is the name of the OSD pod.

      For example:

      oc get -o=custom-columns=NODE:.spec.nodeName pod/rook-ceph-osd-0-544db49d7f-qrgqm
    2. For each of the nodes identified in the previous step, do the following:

      1. Create a debug pod and open a chroot environment for the selected hosts.

        $ oc debug node/<node-name>
        <node-name>

        Is the name of the node.

        $ chroot /host
      2. Check for the crypt keyword beside the ocs-deviceset names.

        $ lsblk
Important

Cluster reduction is not currently supported, regardless of whether reduction would be done by removing nodes or OSDs.

9.3. Scaling out storage capacity by adding new nodes

To scale out storage capacity, you need to perform the following:

  • Add a new node to increase the storage capacity when existing worker nodes are already running at their maximum supported OSDs, which is the increment of 3 OSDs of the capacity selected during initial configuration.
  • Verify that the new node is added successfully
  • Scale up the storage capacity after the node is added

Prerequisites

  • You must be logged into OpenShift Container Platform cluster.

Procedure

  1. Navigate to ComputeMachine Sets.
  2. On the machine set where you want to add nodes, select Edit Machine Count.

    1. Add the amount of nodes, and click Save.
    2. Click ComputeNodes and confirm if the new node is in Ready state.
  3. Apply the OpenShift Data Foundation label to the new node.

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

It is recommended to add 3 nodes, one each in different zones. You must add 3 nodes and perform this procedure for all of them.

Verification steps

9.3.1. Verifying the addition of a new node

  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-*

9.3.2. Scaling up storage capacity

After you add a new node to OpenShift Data Foundation, you must scale up the storage capacity as described in Scaling up storage by adding capacity.

Chapter 10. Multicloud Object Gateway

10.1. About the Multicloud Object Gateway

The Multicloud 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.

10.2. Accessing the Multicloud 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 Multicloud Object Gateway (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 Data Foundation Platform.
  • Download the MCG command-line interface for easier management.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager.

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found at Download RedHat OpenShift Data Foundation page.

    Note

    Choose the correct Product Variant according to your architecture.

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

Example 10.1. Example

Accessing the MCG bucket(s) using the virtual-hosted style
If the client application tries to access https://<bucket-name>.s3-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com
<bucket-name>

is the name of the MCG bucket

For example, https://mcg-test-bucket.s3-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com

A DNS entry is needed for mcg-test-bucket.s3-openshift-storage.apps.mycluster-cluster.qe.rh-ocs.com to point to the S3 Service.

Important

Ensure that you have a DNS entry in order to point the client application to the MCG bucket(s) using the virtual-hosted style.

10.2.1. Accessing the Multicloud Object Gateway from the terminal

Procedure

Run the describe command to view information about the Multicloud Object Gateway (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.

10.2.2. Accessing the Multicloud Object Gateway from the MCG command-line interface

Prerequisites

  • Download the MCG command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager.

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

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 -#
#------------------#

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 -#
#----------------#

1
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 10.2. Example

If AWS S3 CLI is the application, the following command will list the buckets in OpenShift Data Foundation:

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

10.3. Allowing user access to the Multicloud Object Gateway Console

To allow access to the Multicloud Object Gateway (MCG) Console to a user, ensure that the user meets the following conditions:

  • User is in cluster-admins group.
  • User is in system:cluster-admins virtual group.

Prerequisites

  • A running OpenShift Data Foundation Platform.

Procedure

  1. Enable access to the MCG console.

    Perform the following steps once on the cluster :

    1. Create a cluster-admins group.

      # oc adm groups new cluster-admins
    2. Bind the group to the cluster-admin role.

      # oc adm policy add-cluster-role-to-group cluster-admin cluster-admins
  2. Add or remove users from the cluster-admins group to control access to the MCG console.

    • To add a set of users to the cluster-admins group :

      # oc adm groups add-users cluster-admins <user-name> <user-name> <user-name>...

      where <user-name> is the name of the user to be added.

      Note

      If you are adding a set of users to the cluster-admins group, you do not need to bind the newly added users to the cluster-admin role to allow access to the OpenShift Data Foundation dashboard.

    • To remove a set of users from the cluster-admins group :

      # oc adm groups remove-users cluster-admins <user-name> <user-name> <user-name>...

      where <user-name> is the name of the user to be removed.

Verification steps

  1. On the OpenShift Web Console, login as a user with access permission to Multicloud Object Gateway Console.
  2. Navigate to StorageOpenShift Data Foundation.
  3. In the Storage Systems tab, select the storage system and then click OverviewObject tab.
  4. Select the Multicloud Object Gateway link.
  5. Click Allow selected permissions.

10.4. Adding storage resources for hybrid or Multicloud

10.4.1. Creating a new backing store

Use this procedure to create a new backing store in OpenShift Data Foundation.

Prerequisites

  • Administrator access to OpenShift Data Foundation.

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Backing Store tab.
  3. Click Create Backing Store.
  4. On the Create New Backing Store page, perform the following:

    1. Enter a Backing Store Name.
    2. Select a Provider.
    3. Select a Region.
    4. Enter an Endpoint. This is optional.
    5. Select a Secret from the drop-down list, or create your own secret. Optionally, you can Switch to Credentials view which lets you fill in the required secrets.

      For more information on creating an OCP secret, see the section Creating the secret in the Openshift Container Platform documentation.

      Each backingstore requires a different secret. For more information on creating the secret for a particular backingstore, see the Section 10.4.2, “Adding storage resources for hybrid or Multicloud using the MCG command line interface” and follow the procedure for the addition of storage resources using a YAML.

      Note

      This menu is relevant for all providers except Google Cloud and local PVC.

    6. Enter the Target bucket. The target bucket is a container storage that is hosted on the remote cloud service. It allows you to create a connection that tells the MCG that it can use this bucket for the system.
  5. Click Create Backing Store.

Verification steps

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Backing Store tab to view all the backing stores.

10.4.2. Adding storage resources for hybrid or Multicloud using the MCG command line interface

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

You must add a backing storage that can be used by the MCG.

Depending on the type of your deployment, you can choose one of the following procedures to create a backing storage:

For VMware deployments, skip to Section 10.4.3, “Creating an s3 compatible Multicloud Object Gateway backingstore” for further instructions.

10.4.2.1. Creating an AWS-backed backingstore

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. For instance, in case of IBM Z infrastructure use the following command:

    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/packages

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

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

    noobaa backingstore create aws-s3 <backingstore_name> --access-key=<AWS ACCESS KEY> --secret-key=<AWS SECRET ACCESS KEY> --target-bucket <bucket-name> -n openshift-storage
  1. Replace <backingstore_name> with the name of the backingstore.
  2. Replace <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> with an AWS access key ID and secret access key you created for this purpose.
  3. Replace <bucket-name> with an existing AWS bucket name. This argument tells the MCG 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>
      namespace: openshift-storage
    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:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: bs
      namespace: openshift-storage
    spec:
      awsS3:
        secret:
          name: <backingstore-secret-name>
          namespace: openshift-storage
        targetBucket: <bucket-name>
      type: aws-s3
    1. Replace <bucket-name> with an existing AWS bucket name. This argument tells the MCG 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.

10.4.2.2. Creating an IBM COS-backed backingstore

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. For instance,

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/packages

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

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

    noobaa backingstore create ibm-cos <backingstore_name> --access-key=<IBM ACCESS KEY> --secret-key=<IBM SECRET ACCESS KEY> --endpoint=<IBM COS ENDPOINT> --target-bucket <bucket-name> -n openshift-storage
    1. Replace <backingstore_name> with the name of the backingstore.
    2. Replace <IBM ACCESS KEY>, <IBM SECRET ACCESS KEY>, <IBM COS ENDPOINT> with an IBM access key ID, secret access key and the appropriate regional endpoint that corresponds to the location of the existing IBM bucket.

      To generate the above keys on IBM cloud, you must include HMAC credentials while creating the service credentials for your target bucket.

    3. Replace <bucket-name> with an existing IBM bucket name. This argument tells the MCG 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 "ibm-resource"
      INFO[0002] ✅ Created: Secret "backing-store-secret-ibm-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>
      namespace: openshift-storage
    type: Opaque
    data:
      IBM_COS_ACCESS_KEY_ID: <IBM COS ACCESS KEY ID ENCODED IN BASE64>
      IBM_COS_SECRET_ACCESS_KEY: <IBM COS SECRET ACCESS KEY ENCODED IN BASE64>
    1. You must supply and encode your own IBM COS access key ID and secret access key using Base64, and use the results in place of <IBM COS ACCESS KEY ID ENCODED IN BASE64> and <IBM COS 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:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: bs
      namespace: openshift-storage
    spec:
      ibmCos:
        endpoint: <endpoint>
        secret:
          name: <backingstore-secret-name>
          namespace: openshift-storage
        targetBucket: <bucket-name>
      type: ibm-cos
    1. Replace <bucket-name> with an existing IBM COS bucket name. This argument tells the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
    2. Replace <endpoint> with a regional endpoint that corresponds to the location of the existing IBM bucket name. This argument tells Multicloud Object Gateway which endpoint to use for its backing store, and subsequently, data storage and administration.
    3. Replace <backingstore-secret-name> with the name of the secret created in the previous step.

10.4.2.3. Creating an Azure-backed backingstore

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. For instance, in case of IBM Z infrastructure use the following command:

    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/packages

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

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

    noobaa backingstore create azure-blob <backingstore_name> --account-key=<AZURE ACCOUNT KEY> --account-name=<AZURE ACCOUNT NAME> --target-blob-container <blob container name>
    1. Replace <backingstore_name> with the name of the backingstore.
    2. Replace <AZURE ACCOUNT KEY> and <AZURE ACCOUNT NAME> with an AZURE account key and account name you created for this purpose.
    3. Replace <blob container name> with an existing Azure blob container name. This argument tells the MCG 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 "azure-resource"
      INFO[0002] ✅ Created: Secret "backing-store-secret-azure-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:
      AccountName: <AZURE ACCOUNT NAME ENCODED IN BASE64>
      AccountKey: <AZURE ACCOUNT KEY ENCODED IN BASE64>
    1. You must supply and encode your own Azure Account Name and Account Key using Base64, and use the results in place of <AZURE ACCOUNT NAME ENCODED IN BASE64> and <AZURE ACCOUNT 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:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: bs
      namespace: openshift-storage
    spec:
      azureBlob:
        secret:
          name: <backingstore-secret-name>
          namespace: openshift-storage
        targetBlobContainer: <blob-container-name>
      type: azure-blob
    1. Replace <blob-container-name> with an existing Azure blob container name. This argument tells the MCG 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.

10.4.2.4. Creating a GCP-backed backingstore

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. For instance, in case of IBM Z infrastructure use the following command:

    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/packages

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

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

    noobaa backingstore create google-cloud-storage <backingstore_name> --private-key-json-file=<PATH TO GCP PRIVATE KEY JSON FILE> --target-bucket <GCP bucket name>
    1. Replace <backingstore_name> with the name of the backingstore.
    2. Replace <PATH TO GCP PRIVATE KEY JSON FILE> with a path to your GCP private key created for this purpose.
    3. Replace <GCP bucket name> with an existing GCP object storage bucket name. This argument tells the MCG 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 "google-gcp"
      INFO[0002] ✅ Created: Secret "backing-store-google-cloud-storage-gcp"

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:
      GoogleServiceAccountPrivateKeyJson: <GCP PRIVATE KEY ENCODED IN BASE64>
    1. You must supply and encode your own GCP service account private key using Base64, and use the results in place of <GCP PRIVATE 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:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: bs
      namespace: openshift-storage
    spec:
      googleCloudStorage:
        secret:
          name: <backingstore-secret-name>
          namespace: openshift-storage
        targetBucket: <target bucket>
      type: google-cloud-storage
    1. Replace <target bucket> with an existing Google storage bucket. This argument tells the MCG 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.

10.4.2.5. Creating a local Persistent Volume-backed backingstore

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. For instance, in case of IBM Z infrastructure use the following command:

    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms
  • Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/packages

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

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

    noobaa backingstore create  pv-pool <backingstore_name> --num-volumes=<NUMBER OF VOLUMES>  --pv-size-gb=<VOLUME SIZE> --storage-class=<LOCAL STORAGE CLASS>
    1. Replace <backingstore_name> with the name of the backingstore.
    2. Replace <NUMBER OF VOLUMES> with the number of volumes you would like to create. Note that increasing the number of volumes scales up the storage.
    3. Replace <VOLUME SIZE> with the required size, in GB, of each volume.
    4. Replace <LOCAL STORAGE CLASS> with the local storage class, recommended to use ocs-storagecluster-ceph-rbd.

      The output will be similar to the following:

      INFO[0001] ✅ Exists: NooBaa "noobaa"
      INFO[0002] ✅ Exists: BackingStore "local-mcg-storage"

You can also add storage resources using a YAML:

  1. Apply the following YAML for a specific backing store:

    apiVersion: noobaa.io/v1alpha1
    kind: BackingStore
    metadata:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: <backingstore_name>
      namespace: openshift-storage
    spec:
       pvPool:
        numVolumes: <NUMBER OF VOLUMES>
        resources:
          requests:
            storage: <VOLUME SIZE>
        storageClass: <LOCAL STORAGE CLASS>
      type: pv-pool
    1. Replace <backingstore_name> with the name of the backingstore.
    2. Replace <NUMBER OF VOLUMES> with the number of volumes you would like to create. Note that increasing the number of volumes scales up the storage.
    3. Replace <VOLUME SIZE> with the required size, in GB, of each volume. Note that the letter G should remain.
    4. Replace <LOCAL STORAGE CLASS> with the local storage class, recommended to use ocs-storagecluster-ceph-rbd.

10.4.3. Creating an s3 compatible Multicloud Object Gateway backingstore

The Multicloud Object Gateway (MCG) can use any S3 compatible object storage as a backing store, for example, Red Hat Ceph Storage’s RADOS Object Gateway (RGW). The following procedure shows how to create an S3 compatible MCG backing store for Red Hat Ceph Storage’s RGW. Note that when the RGW is deployed, OpenShift Data Foundation operator creates an S3 compatible backingstore for MCG automatically.

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=<RGW endpoint>
    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 -n openshift-storage
    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 the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
    5. To get the <RGW endpoint>, see Accessing the RADOS Object Gateway S3 endpoint.

      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: <RGW endpoint>
        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 the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
    3. To get the <RGW endpoint>, see Accessing the RADOS Object Gateway S3 endpoint.

10.4.4. Adding storage resources for hybrid and Multicloud using the user interface

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Storage Systems tab, select the storage system and then click OverviewObject tab.
  3. Select the Multicloud Object Gateway link.
  1. Select the Resources tab in the left, highlighted below. From the list that populates, select Add Cloud Resource.

    MCG add cloud resource
  2. Select Add new connection.

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

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

    MCG map to existing bucket
  5. 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.

10.4.5. Creating a new bucket class

Bucket class is a CRD representing a class of buckets that defines tiering policies and data placements for an Object Bucket Class (OBC).

Use this procedure to create a bucket class in OpenShift Data Foundation.

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Bucket Class tab.
  3. Click Create Bucket Class.
  4. On the Create new Bucket Class page, perform the following:

    1. Select the bucket class type and enter a bucket class name.

      1. Select the BucketClass type. Choose one of the following options:

        • Standard: data will be consumed by a Multicloud Object Gateway (MCG), deduped, compressed and encrypted.
        • Namespace: data is stored on the NamespaceStores without performing de-duplication, compression or encryption.

          By default, Standard is selected.

      2. Enter a Bucket Class Name.
      3. Click Next.
    2. In Placement Policy, select Tier 1 - Policy Type and click Next. You can choose either one of the options as per your requirements.

      • Spread allows spreading of the data across the chosen resources.
      • Mirror allows full duplication of the data across the chosen resources.
      • Click Add Tier to add another policy tier.
    3. Select at least one Backing Store resource from the available list if you have selected Tier 1 - Policy Type as Spread and click Next. Alternatively, you can also create a new backing store.

      Note

      You need to select at least 2 backing stores when you select Policy Type as Mirror in previous step.

    4. Review and confirm Bucket Class settings.
    5. Click Create Bucket Class.

Verification steps

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Bucket Class tab and search the new Bucket Class.

10.4.6. Editing a bucket class

Use the following procedure to edit the bucket class components through the YAML file by clicking the edit button on the Openshift web console.

Prerequisites

  • Administrator access to OpenShift Web Console.

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Bucket Class tab.
  3. Click the Action Menu (⋮) next to the Bucket class you want to edit.
  4. Click Edit Bucket Class.
  5. You are redirected to the YAML file, make the required changes in this file and click Save.

10.4.7. Editing backing stores for bucket class

Use the following procedure to edit an existing Multicloud Object Gateway (MCG) bucket class to change the underlying backing stores used in a bucket class.

Prerequisites

  • Administrator access to OpenShift Web Console.
  • A bucket class.
  • Backing stores.

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. Click the Bucket Class tab.
  3. Click the Action Menu (⋮) next to the Bucket class you want to edit.

    Edit bucket class resources
  4. Click Edit Bucket Class Resources.
  5. On the Edit Bucket Class Resources page, edit the bucket class resources either by adding a backing store to the bucket class or by removing a backing store from the bucket class. You can also edit bucket class resources created with one or two tiers and different placement policies.

    • To add a backing store to the bucket class, select the name of the backing store.
    • To remove a backing store from the bucket class, clear the name of the backing store.

      Editing backing stores for the bucket class
  6. Click Save.

10.5. Managing namespace buckets

Namespace buckets let you connect data repositories on different providers together, so you can interact with all of your data through a single unified view. Add the object bucket associated with each provider to the namespace bucket, and access your data through the namespace bucket to see all of your object buckets at once. This lets you write to your preferred storage provider while reading from multiple other storage providers, greatly reducing the cost of migrating to a new storage provider.

You can interact with objects in a namespace bucket using the S3 API. See S3 API endpoints for objects in namespace buckets for more information.

Note

A namespace bucket can only be used if its write target is available and functional.

10.5.1. Amazon S3 API endpoints for objects in namespace buckets

You can interact with objects in the namespace buckets using the Amazon Simple Storage Service (S3) API.

Red Hat OpenShift Data Foundation 4.6 onwards supports the following namespace bucket operations:

See the Amazon S3 API reference documentation for the most up-to-date information about these operations and how to use them.

10.5.2. Adding a namespace bucket using the Multicloud Object Gateway CLI and YAML

For more information about namespace buckets, see Managing namespace buckets.

Depending on the type of your deployment and whether you want to use YAML or the Multicloud Object Gateway CLI, choose one of the following procedures to add a namespace bucket:

10.5.2.1. Adding an AWS S3 namespace bucket using YAML

Prerequisites

Procedure

  1. Create a secret with the credentials:

    apiVersion: v1
    kind: Secret
    metadata:
      name: <namespacestore-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 <namespacestore-secret-name> with a unique name.
  2. Create a NamespaceStore resource using OpenShift Custom Resource Definitions (CRDs). A NamespaceStore represents underlying storage to be used as a read or write target for the data in the MCG namespace buckets. To create a NamespaceStore resource, apply the following YAML:

    apiVersion: noobaa.io/v1alpha1
    kind: NamespaceStore
    metadata:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: <resource-name>
      namespace: openshift-storage
    spec:
      awsS3:
        secret:
          name: <namespacestore-secret-name>
          namespace: <namespace-secret>
        targetBucket: <target-bucket>
      type: aws-s3
    1. Replace <resource-name> with the name you want to give to the resource.
    2. Replace <namespacestore-secret-name> with the secret created in step 1.
    3. Replace <namespace-secret> with the namespace where the secret can be found.
    4. Replace <target-bucket> with the target bucket you created for the NamespaceStore.
  3. Create a namespace bucket class that defines a namespace policy for the namespace buckets. The namespace policy requires a type of either single or multi.

    • A namespace policy of type single requires the following configuration:

      apiVersion: noobaa.io/v1alpha1
      kind: BucketClass
      metadata:
        labels:
          app: noobaa
        name: <my-bucket-class>
        namespace: openshift-storage
      spec:
        namespacePolicy:
          type:
          single:
            resource: <resource>
      • Replace <my-bucket-class> with a unique namespace bucket class name.
      • Replace <resource> with the name of a single namespace-store that defines the read and write target of the namespace bucket.
    • A namespace policy of type multi requires the following configuration:

      apiVersion: noobaa.io/v1alpha1
      
      kind: BucketClass
      metadata:
        labels:
          app: noobaa
        name: <my-bucket-class>
        namespace: openshift-storage
      spec:
        namespacePolicy:
          type: Multi
          multi:
            writeResource: <write-resource>
            readResources:
            - <read-resources>
            - <read-resources>
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <write-resource> with the name of a single namespace-store that defines the write target of the namespace bucket.
      • Replace <read-resources> with a list of the names of the namespace-stores that defines the read targets of the namespace bucket.
  4. Apply the following YAML to create a bucket using an Object Bucket Class (OBC) resource that uses the bucket class defined in step 2.

    apiVersion: objectbucket.io/v1alpha1
    kind: ObjectBucketClaim
    metadata:
      name: <resource-name>
      namespace: openshift-storage
    spec:
      generateBucketName: <my-bucket>
      storageClassName: openshift-storage.noobaa.io
      additionalConfig:
        bucketclass: <my-bucket-class>
    Note

    For IBM Power and IBM Z infrastructure use storageClassName as openshift-storage.noobaa.io

    1. Replace <resource-name> with the name you want to give to the resource.
    2. Replace <my-bucket> with the name you want to give to the bucket.
    3. Replace <my-bucket-class> with the bucket class created in the previous step.

Once the OBC is provisioned by the operator, a bucket is created in the MCG, and the operator creates a Secret and ConfigMap with the same name and on the same namespace of the OBC.

10.5.2.2. Adding an IBM COS namespace bucket using YAML

Prerequisites

Procedure

  1. Create a secret with the credentials:

    apiVersion: v1
    kind: Secret
    metadata:
      name: <namespacestore-secret-name>
      type: Opaque
    data:
      IBM_COS_ACCESS_KEY_ID: <IBM COS ACCESS KEY ID ENCODED IN BASE64>
      IBM_COS_SECRET_ACCESS_KEY: <IBM COS SECRET ACCESS KEY ENCODED IN BASE64>
    1. You must supply and encode your own IBM COS access key ID and secret access key using Base64, and use the results in place of <IBM COS ACCESS KEY ID ENCODED IN BASE64> and <IBM COS SECRET ACCESS KEY ENCODED IN BASE64>.
    2. Replace <namespacestore-secret-name> with a unique name.
  2. Create a NamespaceStore resource using OpenShift Custom Resource Definitions (CRDs). A NamespaceStore represents underlying storage to be used as a read or write target for the data in the MCG namespace buckets. To create a NamespaceStore resource, apply the following YAML:

    apiVersion: noobaa.io/v1alpha1
    kind: NamespaceStore
    metadata:
      finalizers:
      - noobaa.io/finalizer
      labels:
        app: noobaa
      name: bs
      namespace: openshift-storage
    spec:
      s3Compatible:
        endpoint: <IBM COS ENDPOINT>
        secret:
          name: <namespacestore-secret-name>
          namespace: <namespace-secret>
        signatureVersion: v2
        targetBucket: <target-bucket>
      type: ibm-cos
    1. Replace <IBM COS ENDPOINT> with the appropriate IBM COS endpoint.
    2. Replace <namespacestore-secret-name> with the secret created in step 1.
    3. Replace <namespace-secret> with the namespace where the secret can be found.
    4. Replace <target-bucket> with the target bucket you created for the NamespaceStore.
  3. Create a namespace bucket class that defines a namespace policy for the namespace buckets. The namespace policy requires a type of either single or multi.

    • A namespace policy of type single requires the following configuration:

      apiVersion: noobaa.io/v1alpha1
      kind: BucketClass
      metadata:
        labels:
          app: noobaa
        name: <my-bucket-class>
        namespace: openshift-storage
      spec:
        namespacePolicy:
          type:
          single:
            resource: <resource>
      • Replace <my-bucket-class> with a unique namespace bucket class name.
      • Replace <resource> with a the name of a single namespace-store that defines the read and write target of the namespace bucket.
    • A namespace policy of type multi requires the following configuration:

      apiVersion: noobaa.io/v1alpha1
      kind: BucketClass
      metadata:
        labels:
          app: noobaa
        name: <my-bucket-class>
        namespace: openshift-storage
      spec:
        namespacePolicy:
          type: Multi
          multi:
            writeResource: <write-resource>
            readResources:
            - <read-resources>
            - <read-resources>
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <write-resource> with the name of a single namespace-store that defines the write target of the namespace bucket.
      • Replace <read-resources> with a list of the names of namespace-stores that defines the read targets of the namespace bucket.
  4. Apply the following YAML to create a bucket using an Object Bucket Class (OBC) resource that uses the bucket class defined in step 2.

    apiVersion: objectbucket.io/v1alpha1
    kind: ObjectBucketClaim
    metadata:
      name: <resource-name>
      namespace: openshift-storage
    spec:
      generateBucketName: <my-bucket>
      storageClassName: openshift-storage.noobaa.io
      additionalConfig:
        bucketclass: <my-bucket-class>
    Note

    For IBM Power and IBM Z infrastructure use storageClassName as openshift-storage.noobaa.io

    1. Replace <resource-name> with the name you want to give to the resource.
    2. Replace <my-bucket> with the name you want to give to the bucket.
    3. Replace <my-bucket-class> with the bucket class created in the previous step.

Once the OBC is provisioned by the operator, a bucket is created in the MCG, and the operator creates a Secret and ConfigMap with the same name and on the same namespace of the OBC.

10.5.2.3. Adding an AWS S3 namespace bucket using the Multicloud Object Gateway CLI

Prerequisites

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

Specify the appropriate architecture for enabling the repositories using subscription manager. For instance, in case of IBM Z infrastructure use the following command:

# subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/package.

Note

Choose the correct Product Variant according to your architecture.

Procedure

  1. Create a NamespaceStore resource. A NamespaceStore represents an underlying storage to be used as a read or write target for the data in MCG namespace buckets. From the MCG command-line interface, run the following command:

    noobaa namespacestore create aws-s3 <namespacestore> --access-key <AWS ACCESS KEY> --secret-key <AWS SECRET ACCESS KEY> --target-bucket <bucket-name> -n openshift-storage
    1. Replace <namespacestore> with the name of the NamespaceStore.
    2. Replace <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> with an AWS access key ID and secret access key you created for this purpose.
    3. Replace <bucket-name> with an existing AWS bucket name. This argument tells the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
  2. Create a namespace bucket class that defines a namespace policy for the namespace buckets. The namespace policy requires a type of either single or multi.

    • Run the following command to create a namespace bucket class with a namespace policy of type single:

      noobaa bucketclass create namespace-bucketclass single <my-bucket-class> --resource <resource> -n openshift-storage
      • Replace <resource-name> with the name you want to give the resource.
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <resource> with a single namespace-store that defines the read and write target of the namespace bucket.
    • Run the following command to create a namespace bucket class with a namespace policy of type multi:

      noobaa bucketclass create namespace-bucketclass multi <my-bucket-class> --write-resource <write-resource> --read-resources <read-resources> -n openshift-storage
      • Replace <resource-name> with the name you want to give the resource.
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <write-resource> with a single namespace-store that defines the write target of the namespace bucket.
      • Replace <read-resources> with a list of namespace-stores separated by commas that defines the read targets of the namespace bucket.
  3. Run the following command to create a bucket using an Object Bucket Class (OBC) resource that uses the bucket class defined in step 2.

    noobaa obc create my-bucket-claim -n openshift-storage --app-namespace my-app --bucketclass <custom-bucket-class>
    1. Replace <bucket-name> with a bucket name of your choice.
    2. Replace <custom-bucket-class> with the name of the bucket class created in step 2.

Once the OBC is provisioned by the operator, a bucket is created in the MCG, and the operator creates a Secret and ConfigMap with the same name and on the same namespace of the OBC.

10.5.2.4. Adding an IBM COS namespace bucket using the Multicloud Object Gateway CLI

Prerequisites

  • A running OpenShift Data Foundation Platform.
  • Access to the Multicloud Object Gateway (MCG), see Chapter 2, Accessing the Multicloud Object Gateway with your applications.
  • Download the MCG command-line interface:

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

    Specify the appropriate architecture for enabling the repositories using subscription manager.

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

    Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/package.

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

  1. Create a NamespaceStore resource. A NamespaceStore represents an underlying storage to be used as a read or write target for the data in MCG namespace buckets. From the MCG command-line interface, run the following command:

    noobaa namespacestore create ibm-cos <namespacestore> --endpoint <IBM COS ENDPOINT> --access-key <IBM ACCESS KEY> --secret-key <IBM SECRET ACCESS KEY> --target-bucket <bucket-name> -n openshift-storage
    1. Replace <namespacestore> with the name of the NamespaceStore.
    2. Replace <IBM ACCESS KEY>, <IBM SECRET ACCESS KEY>, <IBM COS ENDPOINT> with an IBM access key ID, secret access key and the appropriate regional endpoint that corresponds to the location of the existing IBM bucket.
    3. Replace <bucket-name> with an existing IBM bucket name. This argument tells the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.
  2. Create a namespace bucket class that defines a namespace policy for the namespace buckets. The namespace policy requires a type of either single or multi.

    • Run the following command to create a namespace bucket class with a namespace policy of type single:

      noobaa bucketclass create namespace-bucketclass single <my-bucket-class> --resource <resource> -n openshift-storage
      • Replace <resource-name> with the name you want to give the resource.
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <resource> with a single namespace-store that defines the read and write target of the namespace bucket.
    • Run the following command to create a namespace bucket class with a namespace policy of type multi:

      noobaa bucketclass create namespace-bucketclass multi <my-bucket-class> --write-resource <write-resource> --read-resources <read-resources> -n openshift-storage
      • Replace <resource-name> with the name you want to give the resource.
      • Replace <my-bucket-class> with a unique bucket class name.
      • Replace <write-resource> with a single namespace-store that defines the write target of the namespace bucket.
      • Replace <read-resources> with a list of namespace-stores separated by commas that defines the read targets of the namespace bucket.
  3. Run the following command to create a bucket using an Object Bucket Class (OBC) resource that uses the bucket class defined in step 2.

    noobaa obc create my-bucket-claim -n openshift-storage --app-namespace my-app --bucketclass <custom-bucket-class>
    1. Replace <bucket-name> with a bucket name of your choice.
    2. Replace <custom-bucket-class> with the name of the bucket class created in step 2.

Once the OBC is provisioned by the operator, a bucket is created in the MCG, and the operator creates a Secret and ConfigMap with the same name and on the same namespace of the OBC.

10.5.3. Adding a namespace bucket using the OpenShift Container Platform user interface

With the release of OpenShift Data Foundation 4.8, namespace buckets can be added using the OpenShift Container Platform user interface. For more information about namespace buckets, see Managing namespace buckets.

Prerequisites

  • Openshift Container Platform with OpenShift Data Foundation operator installed.
  • Access to the Multicloud Object Gateway (MCG).

Procedure

  1. Log into the OpenShift Web Console.
  2. Click Storage → OpenShift Data Foundation.
  3. Click the Namespace Store tab to create a namespacestore resources to be used in the namespace bucket.

    1. Click Create namespace store.
    2. Enter a namespacestore name.
    3. Choose a provider.
    4. Choose a region.
    5. Either select an existing secret, or click Switch to credentials to create a secret by entering a secret key and secret access key.
    6. Choose a target bucket.
    7. Click Create.
    8. Verify the namespacestore is in the Ready state.
    9. Repeat these steps until you have the desired amount of resources.
  4. Click the Bucket Class tab → Create a new Bucket Class.

    1. Select the Namespace radio button.
    2. Enter a Bucket Class name.
    3. Add a description (optional).
    4. Click Next.
  5. Choose a namespace policy type for your namespace bucket, and then click Next.
  6. Select the target resource(s).

    • If your namespace policy type is Single, you need to choose a read resource.
    • If your namespace policy type is Multi, you need to choose read resources and a write resource.
    • If your namespace policy type is Cache, you need to choose a Hub namespace store that defines the read and write target of the namespace bucket.
  7. Click Next.
  8. Review your new bucket class, and then click Create Bucketclass.
  9. On the BucketClass page, verify that your newly created resource is in the Created phase.
  10. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  11. In the Status card, click Storage System and click the storage system link from the pop up that appears.
  12. In the Object tab, click Multicloud Object GatewayBucketsNamespace Buckets tab .
  13. Click Create Namespace Bucket.

    1. On the Choose Name tab, specify a Name for the namespace bucket and click Next.
    2. On the Set Placement tab:

      1. Under Read Policy, select the checkbox for each namespace resource created in step 5 that the namespace bucket should read data from.
      2. If the namespace policy type you are using is Multi, then Under Write Policy, specify which namespace resource the namespace bucket should write data to.
      3. Click Next.
    3. Click Create.

Verification

  • Verify that the namespace bucket is listed with a green check mark in the State column, the expected number of read resources, and the expected write resource name.

10.6. Mirroring data for hybrid and Multicloud buckets

The Multicloud 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 in three ways:

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

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

    $ noobaa bucketclass create placement-bucketclass 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

10.6.2. 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:
      labels:
        app: noobaa
      name: <bucket-class-name>
      namespace: openshift-storage
    spec:
      placementPolicy:
        tiers:
        - backingStores:
          - <backing-store-1>
          - <backing-store-2>
          placement: Mirror
  2. Add the following lines to your standard Object Bucket Claim (OBC):

    additionalConfig:
      bucketclass: mirror-to-aws

    For more information about OBCs, see Section 10.8, “Object Bucket Claim”.

10.6.3. Configuring buckets to mirror data using the user interface

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card, click Storage System and click the storage system link from the pop up that appears.
  3. In the Object tab, click the Multicloud Object Gateway link.
  4. On the NooBaa page, click the buckets icon on the left side. You can see a list of your buckets:

    MCG noobaa bucket icon
  5. Click the bucket you want to update.
  6. Click Edit Tier 1 Resources:

    MCG edit tier 1 resources
  7. Select Mirror and check the relevant resources you want to use for this bucket. In the following example, the data between noobaa-default-backing-store which is on RGW and AWS-backingstore which is on AWS is mirrored:

    MCG mirror relevant resources
  8. Click Save.
Note

Resources created in NooBaa UI cannot be used by OpenShift UI or Multicloud Object Gateway (MCG) CLI.

10.7. Bucket policies in the Multicloud Object Gateway

OpenShift Data Foundation supports AWS S3 bucket policies. Bucket policies allow you to grant users access permissions for buckets and the objects in them.

10.7.1. About bucket policies

Bucket policies are an access policy option available for you to grant permission to your AWS S3 buckets and objects. Bucket policies use JSON-based access policy language. For more information about access policy language, see AWS Access Policy Language Overview.

10.7.2. Using bucket policies

Prerequisites

Procedure

To use bucket policies in the MCG:

  1. Create the bucket policy in JSON format. See the following example:

    {
        "Version": "NewVersion",
        "Statement": [
            {
                "Sid": "Example",
                "Effect": "Allow",
                "Principal": [
                        "john.doe@example.com"
                ],
                "Action": [
                    "s3:GetObject"
                ],
                "Resource": [
                    "arn:aws:s3:::john_bucket"
                ]
            }
        ]
    }

    There are many available elements for bucket policies with regard to access permissions.

    For details on these elements and examples of how they can be used to control the access permissions, see AWS Access Policy Language Overview.

    For more examples of bucket policies, see AWS Bucket Policy Examples.

    Instructions for creating S3 users can be found in Section 10.7.3, “Creating an AWS S3 user in the Multicloud Object Gateway”.

  2. Using AWS S3 client, use the put-bucket-policy command to apply the bucket policy to your S3 bucket:

    # aws --endpoint ENDPOINT --no-verify-ssl s3api put-bucket-policy --bucket MyBucket --policy BucketPolicy
    1. Replace ENDPOINT with the S3 endpoint.
    2. Replace MyBucket with the bucket to set the policy on.
    3. Replace BucketPolicy with the bucket policy JSON file.
    4. Add --no-verify-ssl if you are using the default self signed certificates.

      For example:

      # aws --endpoint https://s3-openshift-storage.apps.gogo44.noobaa.org --no-verify-ssl s3api put-bucket-policy -bucket MyBucket --policy file://BucketPolicy

      For more information on the put-bucket-policy command, see the AWS CLI Command Reference for put-bucket-policy.

      Note

      The principal element specifies the user that is allowed or denied access to a resource, such as a bucket. Currently, Only NooBaa accounts can be used as principals. In the case of object bucket claims, NooBaa automatically create an account obc-account.<generated bucket name>@noobaa.io.

      Note

      Bucket policy conditions are not supported.

10.7.3. Creating an AWS S3 user in the Multicloud Object Gateway

Prerequisites

Procedure

  1. In the OpenShift Web Console, click StorageOpenShift Data Foundation.
  2. In the Status card, click Storage System and click the storage system link from the pop up that appears.
  3. In the Object tab, click the Multicloud Object Gateway link.
  4. Under the Accounts tab, click Create Account.

    MCG accounts create account button
  5. Select S3 Access Only, provide the Account Name, for example, john.doe@example.com. Click Next.

    MCG create account s3 user
  6. Select S3 default placement, for example, noobaa-default-backing-store. Select Buckets Permissions. A specific bucket or all buckets can be selected. Click Create.

    MCG create account s3 user2

10.8. 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 in three ways:

An object bucket claim creates a new bucket and an application account in NooBaa with permissions to the bucket, including a new access key and secret access key. The application account is allowed to access only a single bucket and can’t create new buckets by default.

10.8.1. Dynamic Object Bucket Claim

Similar to Persistent Volumes, you can add the details of the Object Bucket claim (OBC) 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: openshift-storage.noobaa.io

    These lines are the OBC itself.

    1. Replace <obc-name> with the a unique OBC name.
    2. Replace <obc-bucket-name> with a unique bucket name for your OBC.
  2. You can add more lines to the YAML file to automate the use of the OBC. 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 claims the Object Bucket from NooBaa, which creates 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 OBC name.
    2. Replace <your application image> with your application image.
  3. Apply the updated YAML file:

    # oc apply -f <yaml.file>

    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> -o yaml

    Replace obc-name with the name of your OBC.

    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.
Important

Retrieve the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. The names are used so that it is compatible with the AWS S3 API. You need to specify the keys while performing S3 operations, especially when you read, write or list from the Multicloud Object Gateway (MCG) bucket. The keys are encoded in Base64. Decode the keys before using them.

# oc get secret <obc_name> -o yaml
<obc_name>
Specify the name of the object bucket claim.

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

When creating an Object Bucket Claim (OBC) 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 Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager.

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

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 OBC name, for example, myappobc.

    Additionally, you can use the --app-namespace option to specify the namespace where the OBC 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 OBC:

    # 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 OBC:

    # 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 OBC. The CM and the secret have the same name as the OBC. Run the following command 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. Run the following command 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.

10.8.3. Creating an Object Bucket Claim using the OpenShift Web Console

You can create an Object Bucket Claim (OBC) using the OpenShift Web Console.

Prerequisites

Procedure

  1. Log into the OpenShift Web Console.
  2. On the left navigation bar, click StorageObject Bucket ClaimsCreate Object Bucket Claim.

    1. Enter a name for your object bucket claim and select the appropriate storage class based on your deployment, internal or external, from the dropdown menu:

      Internal mode
      Create Object Bucket Claim wizard

      The following storage classes, which were created after deployment, are available for use:

      • ocs-storagecluster-ceph-rgw uses the Ceph Object Gateway (RGW)
      • openshift-storage.noobaa.io uses the Multicloud Object Gateway (MCG)
      External mode
      Create Object Bucket Claim wizard

      The following storage classes, which were created after deployment, are available for use:

      • ocs-external-storagecluster-ceph-rgw uses the RGW
      • openshift-storage.noobaa.io uses the MCG

        Note

        The RGW OBC storage class is only available with fresh installations of OpenShift Data Foundation version 4.5. It does not apply to clusters upgraded from previous OpenShift Data Foundation releases.

    2. Click Create.

      Once you create the OBC, you are redirected to its detail page:

      Object Bucket Claim Details page

10.8.4. Attaching an Object Bucket Claim to a deployment

Once created, Object Bucket Claims (OBCs) can be attached to specific deployments.

Prerequisites

  • Administrative access to the OpenShift Web Console.

Procedure

  1. On the left navigation bar, click StorageObject Bucket Claims.
  2. Click the Action menu (⋮) next to the OBC you created.

    1. From the drop-down menu, select Attach to Deployment.

      Attach Object Bucket Claim to deployment
    2. Select the desired deployment from the Deployment Name list, then click Attach.

      Deployment Name list

10.8.5. Viewing object buckets using the OpenShift Web Console

You can view the details of object buckets created for Object Bucket Claims (OBCs) using the OpenShift Web Console.

Prerequisites

  • Administrative access to the OpenShift Web Console.

Procedure

  1. Log into the OpenShift Web Console.
  2. On the left navigation bar, click StorageObject Buckets.

    Object Buckets page

    Alternatively, you can also navigate to the details page of a specific OBC and click the Resource link to view the object buckets for that OBC.

  3. Select the object bucket you want to see details for. You are navigated to the Object Bucket Details page.

10.8.6. Deleting Object Bucket Claims

Prerequisites

  • Administrative access to the OpenShift Web Console.

Procedure

  1. On the left navigation bar, click StorageObject Bucket Claims.
  2. Click the Action menu (⋮) next to the Object Bucket Claim (OBC) you want to delete.

    MCG OBC action menu attach to deployment
    1. Select Delete Object Bucket Claim.
    2. Click Delete.

10.9. Caching policy for object buckets

A cache bucket is a namespace bucket with a hub target and a cache target. The hub target is an S3 compatible large object storage bucket. The cache bucket is the local Multicloud Object Gateway bucket. You can create a cache bucket that caches an AWS bucket or an IBM COS bucket.

Important

Cache buckets are a Technology Preview feature. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information, see Technology Preview Features Support Scope.

10.9.1. Creating an AWS cache bucket

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager. In case of IBM Z infrastructure use the following command:

    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

    Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/package.

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

  1. Create a NamespaceStore resource. A NamespaceStore represents an underlying storage to be used as a read or write target for the data in the MCG namespace buckets. From the MCG command-line interface, run the following command:

    noobaa namespacestore create aws-s3 <namespacestore> --access-key <AWS ACCESS KEY> --secret-key <AWS SECRET ACCESS KEY> --target-bucket <bucket-name>
    1. Replace <namespacestore> with the name of the namespacestore.
    2. Replace <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> with an AWS access key ID and secret access key you created for this purpose.
    3. Replace <bucket-name> with an existing AWS bucket name. This argument tells the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.

      You can also add storage resources by applying a YAML. First create a secret with credentials:

      apiVersion: v1
      kind: Secret
      metadata:
        name: <namespacestore-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>

      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>.

      Replace <namespacestore-secret-name> with a unique name.

      Then apply the following YAML:

      apiVersion: noobaa.io/v1alpha1
      kind: NamespaceStore
      metadata:
        finalizers:
        - noobaa.io/finalizer
        labels:
          app: noobaa
        name: <namespacestore>
        namespace: openshift-storage
      spec:
        awsS3:
          secret:
            name: <namespacestore-secret-name>
            namespace: <namespace-secret>
          targetBucket: <target-bucket>
        type: aws-s3
    4. Replace <namespacestore> with a unique name.
    5. Replace <namespacestore-secret-name> with the secret created in the previous step.
    6. Replace <namespace-secret> with the namespace used to create the secret in the previous step.
    7. Replace <target-bucket> with the AWS S3 bucket you created for the namespacestore.
  2. Run the following command to create a bucket class:

    noobaa bucketclass create namespace-bucketclass cache <my-cache-bucket-class> --backingstores <backing-store> --hub-resource <namespacestore>
    1. Replace <my-cache-bucket-class> with a unique bucket class name.
    2. Replace <backing-store> with the relevant backing store. You can list one or more backingstores separated by commas in this field.
    3. Replace <namespacestore> with the namespacestore created in the previous step.
  3. Run the following command to create a bucket using an Object Bucket Claim (OBC) resource that uses the bucket class defined in step 2.

    noobaa obc create <my-bucket-claim> my-app --bucketclass <custom-bucket-class>
    1. Replace <my-bucket-claim> with a unique name.
    2. Replace <custom-bucket-class> with the name of the bucket class created in step 2.

10.9.2. Creating an IBM COS cache bucket

Prerequisites

  • Download the Multicloud Object Gateway (MCG) command-line interface.

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

    Specify the appropriate architecture for enabling the repositories using the subscription manager.

    • For IBM Power, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-ppc64le-rpms
    • For IBM Z infrastructure, use the following command:
    # subscription-manager repos --enable=rh-odf-4-for-rhel-8-s390x-rpms

    Alternatively, you can install the MCG package from the OpenShift Data Foundation RPMs found here https://access.redhat.com/downloads/content/547/ver=4/rhel---8/4/x86_64/package.

    Note

    Choose the correct Product Variant according to your architecture.

Procedure

  1. Create a NamespaceStore resource. A NamespaceStore represents an underlying storage to be used as a read or write target for the data in the MCG namespace buckets. From the MCG command-line interface, run the following command:

    noobaa namespacestore create ibm-cos <namespacestore> --endpoint <IBM COS ENDPOINT> --access-key <IBM ACCESS KEY> --secret-key <IBM SECRET ACCESS KEY> --target-bucket <bucket-name>
    1. Replace <namespacestore> with the name of the NamespaceStore.
    2. Replace <IBM ACCESS KEY>, <IBM SECRET ACCESS KEY>, <IBM COS ENDPOINT> with an IBM access key ID, secret access key and the appropriate regional endpoint that corresponds to the location of the existing IBM bucket.
    3. Replace <bucket-name> with an existing IBM bucket name. This argument tells the MCG which bucket to use as a target bucket for its backing store, and subsequently, data storage and administration.

      You can also add storage resources by applying a YAML. First, Create a secret with the credentials:

      apiVersion: v1
      kind: Secret
      metadata:
        name: <namespacestore-secret-name>
      type: Opaque
      data:
        IBM_COS_ACCESS_KEY_ID: <IBM COS ACCESS KEY ID ENCODED IN BASE64>
        IBM_COS_SECRET_ACCESS_KEY: <IBM COS SECRET ACCESS KEY ENCODED IN BASE64>

      You must supply and encode your own IBM COS access key ID and secret access key using Base64, and use the results in place of <IBM COS ACCESS KEY ID ENCODED IN BASE64> and <IBM COS SECRET ACCESS KEY ENCODED IN BASE64>.

      Replace <namespacestore-secret-name> with a unique name.

      Then apply the following YAML:

      apiVersion: noobaa.io/v1alpha1
      kind: NamespaceStore
      metadata:
        finalizers:
        - noobaa.io/finalizer
        labels:
          app: noobaa
        name: <namespacestore>
        namespace: openshift-storage
      spec:
        s3Compatible:
          endpoint: <IBM COS ENDPOINT>
          secret:
            name: <backingstore-secret-name>
            namespace: <namespace-secret>
          signatureVersion: v2
          targetBucket: <target-bucket>
        type: ibm-cos
    4. Replace <namespacestore> with a unique name.
    5. Replace <IBM COS ENDPOINT> with the appropriate IBM COS endpoint.
    6. Replace <backingstore-secret-name> with the secret created in the previous step.
    7. Replace <namespace-secret> with the namespace used to create the secret in the previous step.
    8. Replace <target-bucket> with the AWS S3 bucket you created for the namespacestore.
  2. Run the following command to create a bucket class:

    noobaa bucketclass create namespace-bucketclass cache <my-bucket-class> --backingstores <backing-store> --hubResource <namespacestore>
    1. Replace <my-bucket-class> with a unique bucket class name.
    2. Replace <backing-store> with the relevant backing store. You can list one or more backingstores separated by commas in this field.
    3. Replace <namespacestore> with the namespacestore created in the previous step.
  3. Run the following command to create a bucket using an Object Bucket Claim resource that uses the bucket class defined in step 2.

    noobaa obc create <my-bucket-claim> my-app --bucketclass <custom-bucket-class>
    1. Replace <my-bucket-claim> with a unique name.
    2. Replace <custom-bucket-class> with the name of the bucket class created in step 2.

10.10. Scaling Multicloud Object Gateway performance by adding endpoints

The Multicloud Object Gateway performance may vary from one environment to another. In some cases, specific applications require faster performance which can be easily addressed by scaling S3 endpoints.

The Multicloud Object Gateway resource pool is a group of NooBaa daemon containers that provide two types of services enabled by default:

  • Storage service
  • S3 endpoint service

10.10.1. Scaling the Multicloud Object Gateway with storage nodes

Prerequisites

  • A running OpenShift Data Foundation cluster on OpenShift Container Platform with access to the Multicloud Object Gateway (MCG).

A storage node in the MCG is a NooBaa daemon container attached to one or more Persistent Volumes (PVs) and used for local object service data storage. NooBaa daemons can be deployed on Kubernetes nodes. This can be done by creating a Kubernetes pool consisting of StatefulSet pods.

Procedure

  1. Log in to OpenShift Web Console.
  2. From the MCG user interface, click OverviewAdd Storage Resources.
  3. In the window, click Deploy Kubernetes Pool.
  4. In the Create Pool step create the target pool for the future installed nodes.
  5. In the Configure step, configure the number of requested pods and the size of each PV. For each new pod, one PV is to be created.
  6. In the Review step, you can find the details of the new pool and select the deployment method you wish to use: local or external deployment. If local deployment is selected, the Kubernetes nodes will deploy within the cluster. If external deployment is selected, you will be provided with a YAML file to run externally.
  7. All nodes will be assigned to the pool you chose in the first step, and can be found under ResourcesStorage resourcesResource name.

10.11. Automatic scaling of MultiCloud Object Gateway endpoints

The number of MultiCloud Object Gateway (MCG) endpoints scale automatically when the load on the MCG S3 service increases or decreases. OpenShift Data Foundation clusters are deployed with one active MCG endpoint. Each MCG endpoint pod is configured by default with 1 CPU and 2Gi memory request, with limits matching the request. When the CPU load on the endpoint crosses over an 80% usage threshold for a consistent period of time, a second endpoint is deployed lowering the load on the first endpoint. When the average CPU load on both endpoints falls below the 80% threshold for a consistent period of time, one of the endpoints is deleted. This feature improves performance and serviceability of the MCG.

Chapter 11. Managing persistent volume claims

Important

Expanding PVCs is not supported for PVCs backed by OpenShift Data Foundation.

11.1. Configuring application pods to use OpenShift Data Foundation

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

Prerequisites

  • You have administrative access to OpenShift Web Console.
  • OpenShift Data Foundation 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 Data Foundation are available. In OpenShift Web Console, click StorageStorageClasses 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 Data Foundation.
      2. Specify the PVC Name, for example, myclaim.
      3. Select the required Access Mode.

        Note

        The Access Mode, Shared access (RWX) is not supported in IBM FlashSystem.

      4. For Rados Block Device (RBD), if the Access mode is ReadWriteOnce (RWO), select the required Volume mode. The default volume mode is Filesystem.
      5. For Rados Block Device (RBD), if the Access mode is ReadWriteOnce (RWO), select the required Volume mode. The default volume mode is Filesystem.
      6. Specify a Size as per application requirement.
      7. 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.

11.2. Viewing Persistent Volume Claim request status

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

Prerequisites

  • Administrator access to OpenShift Data Foundation.

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. You can also filter the list of PVCs by Name or Label to narrow down the list
  4. Check the Status column corresponding to the required PVC.
  5. Click the required Name to view the PVC details.

11.3. 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. In the OpenShift Web Console, click Storage → OpenShift Data Foundation.
  2. In the Storage systems tab, select the storage system and then click OverviewBlock and File.
  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.

11.4. Dynamic provisioning

11.4.1. 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.

11.4.2. Dynamic provisioning in OpenShift Data Foundation

Red Hat OpenShift Data Foundation 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 Data Foundation 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 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 Multicloud Gateway allows object federation across multiple cloud environments (available as a Technology Preview).

In OpenShift Data Foundation 4, 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 judgment of which driver (RBD or CephFS) to use is based on the entry in the storageclass.yaml file.

11.4.3. 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

OpenStack Cinder

kubernetes.io/cinder

 

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.

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.

VMware vSphere

kubernetes.io/vsphere-volume

 

Red Hat Virtualization

csi.ovirt.org

 
Important

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

Chapter 12. Volume Snapshots

A volume snapshot is the state of the storage volume in a cluster at a particular point in time. These snapshots help to use storage more efficiently by not having to make a full copy each time and can be used as building blocks for developing an application.

You can create multiple snapshots of the same persistent volume claim (PVC). For CephFS, you can create up to 100 snapshots per PVC. For RADOS Block Device (RBD), you can create up to 512 snapshots per PVC.

Note

You cannot schedule periodic creation of snapshots.

12.1. Creating volume snapshots

You can create a volume snapshot either from the Persistent Volume Claim (PVC) page or the Volume Snapshots page.

Prerequisites

  • For a consistent snapshot, the PVC should be in Bound state and not be in use. Ensure to stop all IO before taking the snapshot.
Note

OpenShift Data Foundation only provides crash consistency for a volume snapshot of a PVC if a pod is using it. For application consistency, be sure to first tear down a running pod to ensure consistent snapshots or use any quiesce mechanism provided by the application to ensure it.

Procedure

From the Persistent Volume Claims page
  1. Click StoragePersistent Volume Claims from the OpenShift Web Console.
  2. To create a volume snapshot, do one of the following:

    • Beside the desired PVC, click Action menu (⋮)Create Snapshot.
    • Click on the PVC for which you want to create the snapshot and click ActionsCreate Snapshot.
  3. Enter a Name for the volume snapshot.
  4. Choose the Snapshot Class from the drop-down list.
  5. Click Create. You will be redirected to the Details page of the volume snapshot that is created.
From the Volume Snapshots page
  1. Click StorageVolume Snapshots from the OpenShift Web Console.
  2. In the Volume Snapshots page, click Create Volume Snapshot.
  3. Choose the required Project from the drop-down list.
  4. Choose the Persistent Volume Claim from the drop-down list.
  5. Enter a Name for the snapshot.
  6. Choose the Snapshot Class from the drop-down list.
  7. Click Create. You will be redirected to the Details page of the volume snapshot that is created.

Verification steps

  • Go to the Details page of the PVC and click the Volume Snapshots tab to see the list of volume snapshots. Verify that the new volume snapshot is listed.
  • Click StorageVolume Snapshots from the OpenShift Web Console. Verify that the new volume snapshot is listed.
  • Wait for the volume snapshot to be in Ready state.

12.2. Restoring volume snapshots

When you restore a volume snapshot, a new Persistent Volume Claim (PVC) gets created. The restored PVC is independent of the volume snapshot and the parent PVC.

You can restore a volume snapshot from either the Persistent Volume Claim page or the Volume Snapshots page.

Procedure

From the Persistent Volume Claims page

You can restore volume snapshot from the Persistent Volume Claims page only if the parent PVC is present.

  1. Click StoragePersistent Volume Claims from the OpenShift Web Console.
  2. Click on the PVC name with the volume snapshot to restore a volume snapshot as a new PVC.
  3. In the Volume Snapshots tab, click the Action menu (⋮) next to the volume snapshot you want to restore.
  4. Click Restore as new PVC.
  5. Enter a name for the new PVC.
  6. Select the Storage Class name.

    Note

    For Rados Block Device (RBD), you must select a storage class with the same pool as that of the parent PVC. Restoring the snapshot of an encrypted PVC using a storage class where encryption is not enabled and vice versa is not supported.

  7. Select the Access Mode of your choice.

    Important

    The ReadOnlyMany (ROX) access mode is a Developer Preview feature and is subject to Developer Preview support limitations. Developer Preview releases are not intended to be run in production environments and are not supported through the Red Hat Customer Portal case management system. If you need assistance with ReadOnlyMany feature, reach out to the ocs-devpreview@redhat.com mailing list and a member of the Red Hat Development Team will assist you as quickly as possible based on availability and work schedules. See Creating a clone or restoring a snapshot with the new readonly access mode to use the ROX access mode.

  8. Optional: For RBD, select Volume mode.
  9. Click Restore. You are redirected to the new PVC details page.
From the Volume Snapshots page
  1. Click StorageVolume Snapshots from the OpenShift Web Console.
  2. In the Volume Snapshots tab, click the Action menu (⋮) next to the volume snapshot you want to restore.
  3. Click Restore as new PVC.
  4. Enter a name for the new PVC.
  5. Select the Storage Class name.

    Note

    For Rados Block Device (RBD), you must select a storage class with the same pool as that of the parent PVC. Restoring the snapshot of an encrypted PVC using a storage class where encryption is not enabled and vice versa is not supported.

  6. Select the Access Mode of your choice.

    Important

    The ReadOnlyMany (ROX) access mode is a Developer Preview feature and is subject to Developer Preview support limitations. Developer Preview releases are not intended to be run in production environments and are not supported through the Red Hat Customer Portal case management system. If you need assistance with ReadOnlyMany feature, reach out to the ocs-devpreview@redhat.com mailing list and a member of the Red Hat Development Team will assist you as quickly as possible based on availability and work schedules. See Creating a clone or restoring a snapshot with the new readonly access mode to use the ROX access mode.

  7. Optional: For RBD, select Volume mode.
  8. Click Restore. You are redirected to the new PVC details page.

Verification steps

  • Click StoragePersistent Volume Claims from the OpenShift Web Console and confirm that the new PVC is listed in the Persistent Volume Claims page.
  • Wait for the new PVC to reach Bound state.

12.3. Deleting volume snapshots

Prerequisites

  • For deleting a volume snapshot, the volume snapshot class which is used in that particular volume snapshot should be present.

Procedure

From Persistent Volume Claims page
  1. Click StoragePersistent Volume Claims from the OpenShift Web Console.
  2. Click on the PVC name which has the volume snapshot that needs to be deleted.
  3. In the Volume Snapshots tab, beside the desired volume snapshot, click Action menu (⋮)Delete Volume Snapshot.
From Volume Snapshots page
  1. Click StorageVolume Snapshots from the OpenShift Web Console.
  2. In the Volume Snapshots page, beside the desired volume snapshot click Action menu (⋮)Delete Volume Snapshot.

Verfication steps

  • Ensure that the deleted volume snapshot is not present in the Volume Snapshots tab of the PVC details page.
  • Click StorageVolume Snapshots and ensure that the deleted volume snapshot is not listed.

Chapter 13. Volume cloning

A clone is a duplicate of an existing storage volume that is used as any standard volume. You create a clone of a volume to make a point in time copy of the data. A persistent volume claim (PVC) cannot be cloned with a different size. You can create up to 512 clones per PVC for both CephFS and RADOS Block Device (RBD).

13.1. Creating a clone

Prerequisites

  • Source PVC must be in Bound state and must not be in use.
Note

Do not create a clone of a PVC if a Pod is using it. Doing so might cause data corruption because the PVC is not quiesced (paused).

Procedure

  1. Click StoragePersistent Volume Claims from the OpenShift Web Console.
  2. To create a clone, do one of the following:

    • Beside the desired PVC, click Action menu (⋮)Clone PVC.
    • Click on the PVC that you want to clone and click ActionsClone PVC.
  3. Enter a Name for the clone.
  4. Select the access mode of your choice.

    Important

    The ReadOnlyMany (ROX) access mode is a Developer Preview feature and is subject to Developer Preview support limitations. Developer Preview releases are not intended to be run in production environments and are not supported through the Red Hat Customer Portal case management system. If you need assistance with ReadOnlyMany feature, reach out to the ocs-devpreview@redhat.com mailing list and a member of the Red Hat Development Team will assist you as quickly as possible based on availability and work schedules. See Creating a clone or restoring a snapshot with the new readonly access mode to use the ROX access mode.

  5. Click Clone. You are redirected to the new PVC details page.
  6. Wait for the cloned PVC status to become Bound.

    The cloned PVC is now available to be consumed by the pods. This cloned PVC is independent of its dataSource PVC.

Chapter 14. Replacing storage nodes

You can choose one of the following procedures to replace storage nodes:

14.1. Replacing operational nodes on Red Hat OpenStack Platform installer-provisioned infrastructure

Use this procedure to replace an operational node on Red Hat OpenStack Platform installer-provisioned infrastructure (IPI).

Procedure

  1. Log in to OpenShift Web Console and click ComputeNodes.
  2. Identify the node that needs to be replaced. Take a note of its Machine Name.
  3. Mark the node as unschedulable using the following command:

    $ oc adm cordon <node_name>
  4. Drain the node using the following command:

    $ oc adm drain <node_name> --force --delete-emptydir-data=true --ignore-daemonsets
    Important

    This activity may take at least 5-10 minutes or more. Ceph errors generated during this period are temporary and are automatically resolved when the new node is labeled and functional.

  5. Click ComputeMachines. Search for the required machine.
  6. Besides the required machine, click the Action menu (⋮)Delete Machine.
  7. Click Delete to confirm the machine deletion. A new machine is automatically created.
  8. Wait for new machine to start and transition into Running state.

    Important

    This activity may take at least 5-10 minutes or more.

  9. Click ComputeNodes, confirm if the new node is in Ready state.
  10. Apply the OpenShift Data Foundation 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 Data Foundation 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 Data Foundation pods are in Running state.
  4. Verify that new OSD pods are running on the replacement node.

    $ oc get pods -o wide -n openshift-storage| egrep -i new-node-name | egrep osd
  5. Optional: If cluster-wide encryption is enabled on the cluster, verify that the new OSD devices are encrypted.

    For each of the new nodes identified in previous step, do the following:

    1. Create a debug pod and open a chroot environment for the selected host(s).

      $ oc debug node/<node name>
      $ chroot /host
    2. Run “lsblk” and check for the “crypt” keyword beside the ocs-deviceset name(s)

      $ lsblk
  6. If verification steps fail, contact Red Hat Support.

14.2. Replacing failed nodes on Red Hat OpenStack Platform installer-provisioned infrastructure

Perform this procedure to replace a failed node which is not operational on Red Hat OpenStack Platform installer-provisioned infrastructure (IPI) for OpenShift Data Foundation.

Procedure

  1. Log in to OpenShift Web Console and click ComputeNodes.
  2. Identify the faulty node and click on its Machine Name.
  3. Click ActionsEdit Annotations, and click Add More.
  4. Add machine.openshift.io/exclude-node-draining and click Save.
  5. Click ActionsDelete Machine, and click Delete.
  6. A new machine is automatically created, wait for new machine to start.

    Important

    This activity may take at least 5-10 minutes or more. Ceph errors generated during this period are temporary and are automatically resolved when the new node is labeled and functional.

  7. Click ComputeNodes, confirm if the new node is in Ready state.
  8. Apply the OpenShift Data Foundation 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 Data Foundation label to the new node:

      $ oc label node <new_node_name> cluster.ocs.openshift.io/openshift-storage=""
  9. [Optional]: If the failed Red Hat OpenStack Platform instance is not removed automatically, terminate the instance from Red Hat OpenStack Platform console.

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 Data Foundation pods are in Running state.
  4. Verify that new OSD pods are running on the replacement node.

    $ oc get pods -o wide -n openshift-storage| egrep -i new-node-name | egrep osd
  5. Optional: If cluster-wide encryption is enabled on the cluster, verify that the new OSD devices are encrypted.

    For each of the new nodes identified in previous step, do the following:

    1. Create a debug pod and open a chroot environment for the selected host(s).

      $ oc debug node/<node name>
      $ chroot /host
    2. Run “lsblk” and check for the “crypt” keyword beside the ocs-deviceset name(s)

      $ lsblk
  6. If verification steps fail, contact Red Hat Support.

Chapter 15. Replacing storage devices

15.1. Replacing operational or failed storage devices on Red Hat OpenStack Platform installer-provisioned infrastructure

Use this procedure to replace storage device in OpenShift Data Foundation which is deployed on Red Hat OpenStack Platform. This procedure helps to create a new Persistent Volume Claim (PVC) on a new volume and remove the old object storage device (OSD).

Procedure

  1. Identify the OSD that needs to be replaced and the OpenShift Container Platform node that has the OSD scheduled on it.

    $ oc get -n openshift-storage pods -l app=rook-ceph-osd -o wide

    Example output:

    rook-ceph-osd-0-6d77d6c7c6-m8xj6    0/1    CrashLoopBackOff    0    24h   10.129.0.16   compute-2   <none>           <none>
    rook-ceph-osd-1-85d99fb95f-2svc7    1/1    Running             0    24h   10.128.2.24   compute-0   <none>           <none>
    rook-ceph-osd-2-6c66cdb977-jp542    1/1    Running             0    24h   10.130.0.18   compute-1   <none>           <none>

    In this example, rook-ceph-osd-0-6d77d6c7c6-m8xj6 needs to be replaced and compute-2 is the OpenShift Container platform node on which the OSD is scheduled.

    Note

    If the OSD to be replaced is healthy, the status of the pod will be Running.

  2. Scale down the OSD deployment for the OSD to be replaced.

    $ osd_id_to_remove=0
    $ oc scale -n openshift-storage deployment rook-ceph-osd-${osd_id_to_remove} --replicas=0

    where, osd_id_to_remove is the integer in the pod name immediately after the rook-ceph-osd prefix. In this example, the deployment name is rook-ceph-osd-0.

    Example output:

    deployment.extensions/rook-ceph-osd-0 scaled
  3. Verify that the rook-ceph-osd pod is terminated.

    $ oc get -n openshift-storage pods -l ceph-osd-id=${osd_id_to_remove}

    Example output:

    No resources found.
    Note

    If the rook-ceph-osd pod is in terminating state, use the force option to delete the pod.

    $ oc delete pod rook-ceph-osd-0-6d77d6c7c6-m8xj6 --force --grace-period=0

    Example output:

    warning: Immediate deletion does not wait for confirmation that the running resource has been terminated. The resource may continue to run on the cluster indefinitely.
      pod "rook-ceph-osd-0-6d77d6c7c6-m8xj6" force deleted
  4. Incase, the persistent volume associated with the failed OSD fails, get the failed persistent volumes details and delete them using the following commands:

    $ oc get pv
    $ oc delete pv <failed-pv-name>
  5. Remove the old OSD from the cluster so that a new OSD can be added.

    1. Delete any old ocs-osd-removal jobs.

      $ oc delete -n openshift-storage job ocs-osd-removal-${osd_id_to_remove}

      Example output:

      job.batch "ocs-osd-removal-0" deleted
    2. Change to the openshift-storage project.

      $ oc project openshift-storage
    3. Remove the old OSD from the cluster.

      $ oc process -n openshift-storage ocs-osd-removal -p FAILED_OSD_IDS=${osd_id_to_remove} |oc create -n openshift-storage -f -

      You can remove more than one OSD by adding comma separated OSD IDs in the command. (For example: FAILED_OSD_IDS=0,1,2)

      Warning

      This step results in OSD being completely removed from the cluster. Ensure that the correct value of osd_id_to_remove is provided.

  6. Verify that the OSD is removed successfully by checking the status of the ocs-osd-removal pod. A status of Completed confirms that the OSD removal job succeeded.

    $ oc get pod -l job-name=ocs-osd-removal-${osd_id_to_remove} -n openshift-storage
    Note

    If ocs-osd-removal fails and the pod is not in the expected Completed state, check the pod logs for further debugging. For example:

    $ oc logs -l job-name=ocs-osd-removal-${osd_id_to_remove} -n openshift-storage --tail=-1
  7. If encryption was enabled at the time of install, remove dm-crypt managed device-mapper mapping from the OSD devices that are removed from the respective OpenShift Data Foundation nodes.

    1. Get PVC name(s) of the replaced OSD(s) from the logs of ocs-osd-removal-job pod :

      $ oc logs -l job-name=ocs-osd-removal-job -n openshift-storage --tail=-1  |egrep -i ‘pvc|deviceset’

      For example:

      2021-05-12 14:31:34.666000 I | cephosd: removing the OSD PVC "ocs-deviceset-xxxx-xxx-xxx-xxx"
    2. For each of the nodes identified in step #1, do the following:

      1. Create a debug pod and chroot to the host on the storage node.

        $ oc debug node/<node name>
        $ chroot /host
      2. Find relevant device name based on the PVC names identified in the previous step

        sh-4.4# dmsetup ls| grep <pvc name>
        ocs-deviceset-xxx-xxx-xxx-xxx-block-dmcrypt (253:0)
      3. Remove the mapped device.

        $ cryptsetup luksClose --debug --verbose ocs-deviceset-xxx-xxx-xxx-xxx-block-dmcrypt
        Note

        If the above command gets stuck due to insufficient privileges, run the following commands:

        • Press CTRL+Z to exit the above command.
        • Find PID of the process which was stuck.

          $ ps -ef | grep crypt
        • Terminate the process using kill command.

          $ kill -9 <PID>
        • Verify that the device name is removed.

          $ dmsetup ls
  8. Delete the ocs-osd-removal job.

    $ oc delete -n openshift-storage job ocs-osd-removal-${osd_id_to_remove}

    Example output:

    job.batch "ocs-osd-removal-0" deleted

Verfication steps

  1. Verify that there is a new OSD running.

    $ oc get -n openshift-storage pods -l app=rook-ceph-osd

    Example output:

    rook-ceph-osd-0-5f7f4747d4-snshw                                  1/1     Running     0          4m47s
    rook-ceph-osd-1-85d99fb95f-2svc7                                  1/1     Running     0          1d20h
    rook-ceph-osd-2-6c66cdb977-jp542                                  1/1     Running     0          1d20h
  2. Verify that there is a new PVC created which is in Bound state.

    $ oc get -n openshift-storage pvc

    Example output:

    NAME                           STATUS   VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS                  AGE
    db-noobaa-db-0                 Bound    pvc-b44ebb5e-3c67-4000-998e-304752deb5a7   50Gi       RWO            ocs-storagecluster-ceph-rbd   6d
    ocs-deviceset-0-data-0-gwb5l   Bound    pvc-bea680cd-7278-463d-a4f6-3eb5d3d0defe   512Gi      RWO            standard                      94s
    ocs-deviceset-1-data-0-w9pjm   Bound    pvc-01aded83-6ef1-42d1-a32e-6ca0964b96d4   512Gi      RWO            standard                      6d
    ocs-deviceset-2-data-0-7bxcq   Bound    pvc-5d07cd6c-23cb-468c-89c1-72d07040e308   512Gi      RWO            standard                      6d
  3. Optional: If cluster-wide encryption is enabled on the cluster, verify that the new OSD devices are encrypted.

    1. Identify the node(s) where the new OSD pod(s) are running.

      $ oc get -o=custom-columns=NODE:.spec.nodeName pod/<OSD pod name>

      For example:

      oc get -o=custom-columns=NODE:.spec.nodeName pod/rook-ceph-osd-0-544db49d7f-qrgqm
    2. For each of the nodes identified in previous step, do the following:

      1. Create a debug pod and open a chroot environment for the selected host(s).

        $ oc debug node/<node name>
        $ chroot /host
      2. Run “lsblk” and check for the “crypt” keyword beside the ocs-deviceset name(s)

        $ lsblk
  4. Log in to OpenShift Web Console and view the storage dashboard.

    Figure 15.1. OSD status in OpenShift Container Platform storage dashboard after device replacement

    RHOCP storage dashboard showing the healthy OSD.

Chapter 16. Upgrading to OpenShift Data Foundation

16.1. Overview of the OpenShift Data Foundation update process

OpenShift Container Storage, based on the open source Ceph technology, has expanded its scope and foundational role in a containerized, hybrid cloud environment since its introduction. It complements existing storage in addition to other data-related hardware and software, making them rapidly attachable, accessible, and scalable in a hybrid cloud environment. To better reflect these foundational and infrastructure distinctives, OpenShift Container Storage is now OpenShift Data Foundation.

Important

You can perform the upgrade process for OpenShift Data Foundation version 4.9 from OpenShift Container Storage version 4.8 only by installing the OpenShift Data Foundation operator from OpenShift Container Platform OperatorHub.

In the future release, you can upgrade Red Hat OpenShift Data Foundation, either between minor releases like 4.9 and 4.x, or between batch updates like 4.9.0 and 4.9.1 by enabling automatic updates (if not done so during operator installation) or performing manual updates.

You also need to upgrade the different parts of Red Hat OpenShift Data Foundation in the following order for both internal and external mode deployments:

  1. Update OpenShift Container Platform according to the Updating clusters documentation for OpenShift Container Platform.
  2. Update Red Hat OpenShift Data Foundation.

    1. To prepare a disconnected environment for updates, see Operators guide to using Operator Lifecycle Manager on restricted networks to be able to update Red Hat OpenShift Data Foundation as well as Local Storage Operator when in use.
    2. Update Red Hat OpenShift Container Storage operator version 4.8 to version 4.9 by installing the Red Hat OpenShift Data Foundation operator from the OperatorHub on OpenShift Container Platform web console. See Updating Red Hat OpenShift Container Storage 4.8 to Red Hat OpenShift Data Foundation 4.9.
    3. Update Red Hat OpenShift Data Foundation from 4.9.x to 4.9.y. See Updating Red Hat OpenShift Data Foundation 4.9.x to 4.9.y.
    4. For updating external mode deployments, you must also perform the steps from section Updating the OpenShift Data Foundation external secret.
    5. If you use local storage:

      1. Update the Local Storage operator.

        See Checking for Local Storage Operator deployments if you are unsure.

      2. Perform post-update configuration changes for clusters backed by local storage.

        See Post-update configuration for clusters backed by local storage for details.

Update considerations

Review the following important considerations before you begin.

  • Red Hat recommends using the same version of Red Hat OpenShift Container Platform with Red Hat OpenShift Data Foundation.

    See the Interoperability Matrix for more information about supported combinations of OpenShift Container Platform and Red Hat OpenShift Data Foundation.

  • The Local Storage Operator is fully supported only when the Local Storage Operator version matches the Red Hat OpenShift Container Platform version.
  • The flexible scaling feature is available only in new deployments of Red Hat OpenShift Data Foundation versions 4.7 and later. Storage clusters upgraded from a previous version to version 4.7 or later do not support flexible scaling. For more information, see Flexible scaling of OpenShift Container Storage cluster in the New features section of 4.7 Release Notes.

16.2. Updating Red Hat OpenShift Container Storage 4.8 to Red Hat OpenShift Data Foundation 4.9

This chapter helps you to upgrade between the z-stream release for all Red Hat OpenShift Data Foundation deployments (Internal, Internal-Attached and External). The upgrade process remains the same for all deployments. The Only difference is what gets upgraded and what’s not.

  • For Internal and Internal-attached deployments, upgrading OpenShift Container Storage upgrades all OpenShift Container Storage services including the backend Ceph Storage cluster.
  • For External mode deployments, upgrading OpenShift Container Storage only upgrades the OpenShift Container Storage service while the backend Ceph storage cluster remains untouched and needs to be upgraded separately.

    We recommend upgrading RHCS along with OpenShift Container Storage in order to get new feature support, security fixes, and other bug fixes. Since we do not have a strong dependency on RHCS upgrade, you can upgrade the OpenShift Data Foundation operator first followed by RHCS upgrade or vice-versa. See solution to know more about Red Hat Ceph Storage releases.

Important

Upgrading to 4.9 directly from any version older than 4.8 is unsupported.

Prerequisites

  • Ensure that the OpenShift Container Platform cluster has been updated to the latest stable release of version 4.9.X, see Updating Clusters.
  • Ensure that the OpenShift Container Storage cluster is healthy and data is resilient.

    • Navigate to Storage → Overview and check both Block and File and Object tabs for the green tick on the status card. Green tick indicates that the storage cluster, object service and data resiliency are all healthy.
  • Ensure that all OpenShift Container Storage Pods, including the operator pods, are in Running state in the openshift-storage namespace.

    To view the state of the pods, on the OpenShift Web Console, click Workloads → Pods. Select openshift-storage from the Project drop-down list.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

  • Ensure that you have sufficient time to complete the OpenShift Data Foundation update process, as the update time varies depending on the number of OSDs that run in the cluster.

Procedure

  1. On the OpenShift Web Console, navigate to OperatorHub.
  2. Search for OpenShift Data Foundation using the Filter by keyword box and click on the OpenShift Data Foundation tile.
  3. Click Install.
  4. On the install Operator page, click Install. Wait for the Operator installation to complete.

    Note

    We recommend using all default settings. Changing it may result in unexpected behavior. Alter only if you are aware of its result.

Verification steps

  1. Verify that the page displays Succeeded message along with the option to Create StorageSystem.

    Note

    For the upgraded clusters, since the storage system is automatically created, do not create it again.

  2. On the notification popup, click Refresh web console link to reflect the OpenShift Data Foundation changes in the OpenShift console.
  3. Verify the state of the pods on the OpenShift Web Console.

    • Click Workloads → Pods.
    • Select openshift-storage from the Project drop-down list.

      Note

      If the Show default projects option is disabled, use the toggle button to list all the default projects.

      Wait for all the pods in the openshift-storage namespace to restart and reach Running state.

  4. Verify that the OpenShift Data Foundation cluster is healthy and data is resilient.

    • Navigate to StorageOpenShift Data foundationStorage Systems tab and then click on the storage system name.
    • Check both Block and File and Object tabs for the green tick on the status card. Green tick indicates that the storage cluster, object service and data resiliency are all healthy.
Important

Additional Resources

If you face any issues while updating OpenShift Data Foundation, see the Commonly required logs for troubleshooting section in the Troubleshooting guide.

16.3. Updating Red Hat OpenShift Data Foundation 4.9.x to 4.9.y

This chapter helps you to upgrade between the z-stream release for all Red Hat OpenShift Data Foundation deployments (Internal, Internal-Attached and External). The upgrade process remains the same for all deployments. The Only difference is what gets upgraded and what’s not.

  • For Internal and Internal-attached deployments, upgrading OpenShift Container Storage upgrades all OpenShift Container Storage services including the backend Ceph Storage cluster.
  • For External mode deployments, upgrading OpenShift Container Storage only upgrades the OpenShift Container Storage service while the backend Ceph storage cluster remains untouched and needs to be upgraded separately.

    Hence, we recommend upgrading RHCS along with OpenShift Container Storage in order to get new feature support, security fixes, and other bug fixes. Since we do not have a strong dependency on RHCS upgrade, you can upgrade the OpenShift Data Foundation operator first followed by RHCS upgrade or vice-versa. See solution to know more about Red Hat Ceph Storage releases.

When a new z-stream release becomes available, the upgrade process triggers automatically if the update strategy was set to Automatic. If the update strategy is set to Manual then use the following procedure.

Prerequisites

  • Ensure that the OpenShift Container Platform cluster has been updated to the latest stable release of version 4.9.X, see Updating Clusters.
  • Ensure that the OpenShift Data Foundation cluster is healthy and data is resilient.

    • Navigate to Storage → OpenShift Data Foundation → Storage Systems tab and then click on the storage system name.
    • Check for the green tick on the status card of Overview - Block and File and Object tabs. Green tick indicates that the storage cluster, object service and data resiliency is healthy.
  • Ensure that all OpenShift Data Foundation Pods, including the operator pods, are in Running state in the openshift-storage namespace.

    To view the state of the pods, on the OpenShift Web Console, click Workloads → Pods. Select openshift-storage from the Project drop-down list.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

  • Ensure that you have sufficient time to complete the OpenShift Data Foundation update process, as the update time varies depending on the number of OSDs that run in the cluster.

Procedure

  1. On the OpenShift Web Console, navigate to Operators → Installed Operators.
  2. Select openshift-storage project.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

  3. Click the OpenShift Data Foundation operator name.
  4. Click the Subscription tab.
  5. If the Upgrade Status shows require approval, click on requires approval link.
  6. On the InstallPlan Details page, click Preview Install Plan.
  7. Review the install plan and click Approve.
  8. Wait for the Status to change from Unknown to Created.

Verification steps

  • Verify that the Version below the OpenShift Data Foundation name and the operator status is the latest version.

    • Navigate to Operators → Installed Operators and select the openshift-storage project.
    • When the upgrade completes, the version updates to a new version number for OpenShift Data Foundation and status changes to Succeeded with a green tick.
  • Verify that the OpenShift Data Foundation cluster is healthy and data is resilient.

    • Navigate to Storage → OpenShift Data Foundation → Storage Systems tab and then click on the storage system name.
    • Check for the green tick on the status card of Overview - Block and File and Object tabs. Green tick indicates that the storage cluster, object service and data resiliency is healthy
Important

In case the console plugin option was not automatically enabled after you installed the OpenShift Data Foundation Operator, you need to enable it.

For more information on how to enable the console plugin, see Enabling the Red Hat OpenShift Data Foundation console plugin.

16.4. Changing the update approval strategy

To ensure that the storage system gets updated automatically when a new update is available in the same channel, we recommend keeping the update approval strategy to Automatic. Changing the update approval strategy to Manual will need manual approval for each upgrade.

Procedure

  1. Navigate to Operators → Installed Operators.
  2. Select openshift-storage from the Project drop-down list.

    Note

    If the Show default projects option is disabled, use the toggle button to list all the default projects.

  3. Click on OpenShift Data Foundation operator name
  4. Go to the Subscription tab.
  5. Click on the pencil icon for changing the Update approval.
  6. Select the update approval strategy and click Save.

Verification steps

  • Verify that the Update approval shows the newly selected approval strategy below it.