Chapter 3. Adding storage resources for hybrid or Multicloud 3.1. 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 In the OpenShift Web Console, click Storage Object Storage . Click the Backing Store tab. Click Create Backing Store . On the Create New Backing Store page, perform the following: Enter a Backing Store Name . Select a Provider . Select a Region . Optional: Enter an Endpoint . 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 3.3, "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. 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. Click Create Backing Store . Verification steps In the OpenShift Web Console, click Storage Object Storage . Click the Backing Store tab to view all the backing stores. 3.2. Overriding the default backing store You can use the manualDefaultBackingStore flag to override the default NooBaa backing store and remove it if you do not want to use the default backing store configuration. This provides flexibility to customize your backing store configuration and tailor it to your specific needs. By leveraging this feature, you can further optimize your system and enhance its performance. Prerequisites Openshift Container Platform with OpenShift Data Foundation operator installed. Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Check if noobaa-default-backing-store is present: Patch the NooBaa CR to enable manualDefaultBackingStore : Important Use the Multicloud Object Gateway CLI to create a new backing store and update accounts. Create a new default backing store to override the default backing store. For example: Replace NEW-DEFAULT-BACKING-STORE with the name you want for your new default backing store. Update the admin account to use the new default backing store as its default resource: Replace NEW-DEFAULT-BACKING-STORE with the name of the backing store from the step. Updating the default resource for admin accounts ensures that the new configuration is used throughout your system. Configure the default-bucketclass to use the new default backingstore: Optional: Delete the noobaa-default-backing-store. Delete all instances of and buckets associated with noobaa-default-backing-store and update the accounts using it as resource. Delete the noobaa-default-backing-store: You must enable the manualDefaultBackingStore flag before proceeding. Additionally, it is crucial to update all accounts that use the default resource and delete all instances of and buckets associated with the default backing store to ensure a smooth transition. 3.3. 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 the cloud provider and clusters. 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 creating an AWS-backed backingstore, see Section 3.3.1, "Creating an AWS-backed backingstore" For creating an AWS-STS-backed backingstore, see Section 3.3.2, "Creating an AWS-STS-backed backingstore" For creating an IBM COS-backed backingstore, see Section 3.3.3, "Creating an IBM COS-backed backingstore" For creating an Azure-backed backingstore, see Section 3.3.4, "Creating an Azure-backed backingstore" For creating a GCP-backed backingstore, see Section 3.3.5, "Creating a GCP-backed backingstore" For creating a local Persistent Volume-backed backingstore, see Section 3.3.6, "Creating a local Persistent Volume-backed backingstore" For VMware deployments, skip to Section 3.4, "Creating an s3 compatible Multicloud Object Gateway backingstore" for further instructions. 3.3.1. Creating an AWS-backed backingstore Prerequisites Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Using MCG command-line interface From the MCG command-line interface, run the following command: <backingstore_name> The name of the backingstore. <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> The AWS access key ID and secret access key you created for this purpose. <bucket-name> The existing AWS bucket name. This argument indicates to 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: Adding storage resources using a YAML Create a secret with the credentials: <AWS ACCESS KEY> and <AWS SECRET ACCESS KEY> Supply and encode your own AWS access key ID and secret access key using Base64, and use the results for <AWS ACCESS KEY ID ENCODED IN BASE64> and <AWS SECRET ACCESS KEY ENCODED IN BASE64> . <backingstore-secret-name> The name of the backingstore secret created in the step. Apply the following YAML for a specific backing store: <bucket-name> The existing AWS bucket name. <backingstore-secret-name> The name of the backingstore secret created in the step. 3.3.2. Creating an AWS-STS-backed backingstore Amazon Web Services Security Token Service (AWS STS) is an AWS feature and it is a way to authenticate using short-lived credentials. Creating an AWS-STS-backed backingstore involves the following: Creating an AWS role using a script, which helps to get the temporary security credentials for the role session Installing OpenShift Data Foundation operator in AWS STS OpenShift cluster Creating backingstore in AWS STS OpenShift cluster 3.3.2.1. Creating an AWS role using a script You need to create a role and pass the role Amazon resource name (ARN) while installing the OpenShift Data Foundation operator. Prerequisites Configure Red Hat OpenShift Container Platform cluster with AWS STS. For more information, see Configuring an AWS cluster to use short-term credentials . Procedure Create an AWS role using a script that matches OpenID Connect (OIDC) configuration for Multicloud Object Gateway (MCG) on OpenShift Data Foundation. The following example shows the details that are required to create the role: where 123456789123 Is the AWS account ID mybucket Is the bucket name (using public bucket configuration) us-east-2 Is the AWS region openshift-storage Is the namespace name Sample script 3.3.2.2. Installing OpenShift Data Foundation operator in AWS STS OpenShift cluster Prerequisites Configure Red Hat OpenShift Container Platform cluster with AWS STS. For more information, see Configuring an AWS cluster to use short-term credentials . Create an AWS role using a script that matches OpenID Connect (OIDC) configuration. For more information, see Creating an AWS role using a script . Procedure Install OpenShift Data Foundation Operator from the Operator Hub. During the installation add the role ARN in the ARN Details field. Make sure that the Update approval field is set to Manual . 3.3.2.3. Creating a new AWS STS backingstore Prerequisites Configure Red Hat OpenShift Container Platform cluster with AWS STS. For more information, see Configuring an AWS cluster to use short-term credentials . Create an AWS role using a script that matches OpenID Connect (OIDC) configuration. For more information, see Creating an AWS role using a script . Install OpenShift Data Foundation Operator. For more information, see Installing OpenShift Data Foundation operator in AWS STS OpenShift cluster . Procedure Install Multicloud Object Gateway (MCG). It is installed with the default backingstore by using the short-lived credentials. After the MCG system is ready, you can create more backingstores of the type aws-sts-s3 using the following MCG command line interface command: where backingstore-name Name of the backingstore aws-sts-role-arn The AWS STS role ARN which will assume role region The AWS bucket region target-bucket The target bucket name on the cloud 3.3.3. Creating an IBM COS-backed backingstore Prerequisites Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Using command-line interface From the MCG command-line interface, run the following command: <backingstore_name> The name of the backingstore. <IBM ACCESS KEY> , <IBM SECRET ACCESS KEY> , and <IBM COS ENDPOINT> 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. <bucket-name> An existing IBM bucket name. This argument indicates MCG about the 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: Adding storage resources using an YAML Create a secret with the credentials: <IBM COS ACCESS KEY ID ENCODED IN BASE64> and <IBM COS SECRET ACCESS KEY ENCODED IN BASE64> Provide and encode your own IBM COS access key ID and secret access key using Base64, and use the results in place of these attributes respectively. <backingstore-secret-name> The name of the backingstore secret. Apply the following YAML for a specific backing store: <bucket-name> an existing IBM COS bucket name. This argument indicates to MCG about the bucket to use as a target bucket for its backingstore, and subsequently, data storage and administration. <endpoint> A regional endpoint that corresponds to the location of the existing IBM bucket name. This argument indicates to MCG about the endpoint to use for its backingstore, and subsequently, data storage and administration. <backingstore-secret-name> The name of the secret created in the step. 3.3.4. Creating an Azure-backed backingstore Prerequisites Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Using the MCG command-line interface From the MCG command-line interface, run the following command: <backingstore_name> The name of the backingstore. <AZURE ACCOUNT KEY> and <AZURE ACCOUNT NAME> An AZURE account key and account name you created for this purpose. <blob container name> An existing Azure blob container name. This argument indicates to MCG about the bucket to use as a target bucket for its backingstore, and subsequently, data storage and administration. The output will be similar to the following: Adding storage resources using a YAML Create a secret with the credentials: <AZURE ACCOUNT NAME ENCODED IN BASE64> and <AZURE ACCOUNT KEY ENCODED IN BASE64> Supply and encode your own Azure Account Name and Account Key using Base64, and use the results in place of these attributes respectively. <backingstore-secret-name> A unique name of backingstore secret. Apply the following YAML for a specific backing store: <blob-container-name> An existing Azure blob container name. This argument indicates to the MCG about the bucket to use as a target bucket for its backingstore, and subsequently, data storage and administration. <backingstore-secret-name> with the name of the secret created in the step. 3.3.5. Creating a GCP-backed backingstore Prerequisites Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Using the MCG command-line interface From the MCG command-line interface, run the following command: <backingstore_name> Name of the backingstore. <PATH TO GCP PRIVATE KEY JSON FILE> A path to your GCP private key created for this purpose. <GCP bucket name> 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: Adding storage resources using a YAML Create a secret with the credentials: <GCP PRIVATE KEY ENCODED IN BASE64> Provide and encode your own GCP service account private key using Base64, and use the results for this attribute. <backingstore-secret-name> A unique name of the backingstore secret. Apply the following YAML for a specific backing store: <target bucket> An existing Google storage bucket. This argument indicates to the MCG about the bucket to use as a target bucket for its backing store, and subsequently, data storage dfdand administration. <backingstore-secret-name> The name of the secret created in the step. 3.3.6. Creating a local Persistent Volume-backed backingstore Prerequisites Download the Multicloud Object Gateway (MCG) command-line interface binary from the customer portal and make it executable. Note Choose the correct product variant according to your architecture. Available platforms are Linux(x86_64), Windows, and Mac OS. Procedure Adding storage resources using the MCG command-line interface From the MCG command-line interface, run the following command: Note This command must be run from within the openshift-storage namespace. Adding storage resources using YAML Apply the following YAML for a specific backing store: <backingstore_name > The name of the backingstore. <NUMBER OF VOLUMES> The number of volumes you would like to create. Note that increasing the number of volumes scales up the storage. <VOLUME SIZE> Required size in GB of each volume. <CPU REQUEST> Guaranteed amount of CPU requested in CPU unit m . <MEMORY REQUEST> Guaranteed amount of memory requested. <CPU LIMIT> Maximum amount of CPU that can be consumed in CPU unit m . <MEMORY LIMIT> Maximum amount of memory that can be consumed. <LOCAL STORAGE CLASS> The local storage class name, recommended to use ocs-storagecluster-ceph-rbd . The output will be similar to the following: 3.4. 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 From the MCG command-line interface, run the following command: Note This command must be run from within the openshift-storage namespace. To get the <RGW ACCESS KEY> and <RGW SECRET KEY> , run the following command using your RGW user secret name: Decode the access key ID and the access key from Base64 and keep them. Replace <RGW USER ACCESS KEY> and <RGW USER SECRET ACCESS KEY> with the appropriate, decoded data from the step. 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. To get the <RGW endpoint> , see Accessing the RADOS Object Gateway S3 endpoint . The output will be similar to the following: You can also create the backingstore using a YAML: Create a CephObjectStore user. This also creates a secret containing the RGW credentials: Replace <RGW-Username> and <Display-name> with a unique username and display name. Apply the following YAML for an S3-Compatible backing store: Replace <backingstore-secret-name> with the name of the secret that was created with CephObjectStore in the step. 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. To get the <RGW endpoint> , see Accessing the RADOS Object Gateway S3 endpoint . 3.5. 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. Use this procedure to create a bucket class in OpenShift Data Foundation. Procedure In the OpenShift Web Console, click Storage Object Storage . Click the Bucket Class tab. Click Create Bucket Class . On the Create new Bucket Class page, perform the following: Select the bucket class type and enter a bucket class name. 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. Enter a Bucket Class Name . Click . In Placement Policy , select Tier 1 - Policy Type and click . 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. Select at least one Backing Store resource from the available list if you have selected Tier 1 - Policy Type as Spread and click . 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 step. Review and confirm Bucket Class settings. Click Create Bucket Class . Verification steps In the OpenShift Web Console, click Storage Object Storage . Click the Bucket Class tab and search the new Bucket Class. 3.6. 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 In the OpenShift Web Console, click Storage Object Storage . Click the Bucket Class tab. Click the Action Menu (...) to the Bucket class you want to edit. Click Edit Bucket Class . You are redirected to the YAML file, make the required changes in this file and click Save . 3.7. 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 In the OpenShift Web Console, click Storage Object Storage . Click the Bucket Class tab. Click the Action Menu (...) to the Bucket class you want to edit. Click Edit Bucket Class Resources . 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, uncheck the name of the backing store. Click Save .

Commands:
oc get backingstore NAME TYPE PHASE AGE noobaa-default-backing-store pv-pool Creating 102s
oc patch noobaa/noobaa --type json --patch='[{"op":"add","path":"/spec/manualDefaultBackingStore","value":true}]'
noobaa backingstore create pv-pool _NEW-DEFAULT-BACKING-STORE_ --num-volumes 1 --pv-size-gb 16
noobaa account update admin@noobaa.io --new_default_resource=_NEW-DEFAULT-BACKING-STORE_
oc patch Bucketclass noobaa-default-bucket-class -n openshift-storage --type=json --patch='[{"op": "replace", "path": "/spec/placementPolicy/tiers/0/backingStores/0", "value": "NEW-DEFAULT-BACKING-STORE"}]'
oc delete backingstore noobaa-default-backing-store -n openshift-storage | oc patch -n openshift-storage backingstore/noobaa-default-backing-store --type json --patch='[ { "op": "remove", "path": "/metadata/finalizers" } ]'
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
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Created: BackingStore "aws-resource" INFO[0002] ✅ Created: Secret "backing-store-secret-aws-resource"
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>
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
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Federated": "arn:aws:iam::123456789123:oidc-provider/mybucket-oidc.s3.us-east-2.amazonaws.com" }, "Action": "sts:AssumeRoleWithWebIdentity", "Condition": { "StringEquals": { "mybucket-oidc.s3.us-east-2.amazonaws.com:sub": [ "system:serviceaccount:openshift-storage:noobaa", "system:serviceaccount:openshift-storage:noobaa-core", "system:serviceaccount:openshift-storage:noobaa-endpoint" ] } } } ] }
#!/bin/bash set -x This is a sample script to help you deploy MCG on AWS STS cluster. This script shows how to create role-policy and then create the role in AWS. For more information see: https://docs.openshift.com/rosa/authentication/assuming-an-aws-iam-role-for-a-service-account.html WARNING: This is a sample script. You need to adjust the variables based on your requirement. Variables : user variables - REPLACE these variables with your values: ROLE_NAME="<role-name>" # role name that you pick in your AWS account NAMESPACE="<namespace>" # namespace name where MCG is running. For OpenShift Data Foundation, it is openshift-storage. MCG variables SERVICE_ACCOUNT_NAME_1="noobaa" # The service account name of deployment operator SERVICE_ACCOUNT_NAME_2="noobaa-endpoint" # The service account name of deployment endpoint SERVICE_ACCOUNT_NAME_3="noobaa-core" # The service account name of statefulset core AWS variables Make sure these values are not empty (AWS_ACCOUNT_ID, OIDC_PROVIDER) AWS_ACCOUNT_ID is your AWS account number AWS_ACCOUNT_ID=USD(aws sts get-caller-identity --query "Account" --output text) If you want to create the role before using the cluster, replace this field too. The OIDC provider is in the structure: 1) <OIDC-bucket>.s3.<aws-region>.amazonaws.com. for OIDC bucket configurations are in an S3 public bucket 2) `<characters>.cloudfront.net` for OIDC bucket configurations in an S3 private bucket with a public CloudFront distribution URL OIDC_PROVIDER=USD(oc get authentication cluster -ojson | jq -r .spec.serviceAccountIssuer | sed -e "s/^https:\/\///") the permission (S3 full access) POLICY_ARN_STRINGS="arn:aws:iam::aws:policy/AmazonS3FullAccess" Creating the role (with AWS command line interface) read -r -d '' TRUST_RELATIONSHIP <<EOF { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Federated": "arn:aws:iam::USD{AWS_ACCOUNT_ID}:oidc-provider/USD{OIDC_PROVIDER}" }, "Action": "sts:AssumeRoleWithWebIdentity", "Condition": { "StringEquals": { "USD{OIDC_PROVIDER}:sub": [ "system:serviceaccount:USD{NAMESPACE}:USD{SERVICE_ACCOUNT_NAME_1}", "system:serviceaccount:USD{NAMESPACE}:USD{SERVICE_ACCOUNT_NAME_2}", "system:serviceaccount:USD{NAMESPACE}:USD{SERVICE_ACCOUNT_NAME_3}" ] } } } ] } EOF echo "USD{TRUST_RELATIONSHIP}" > trust.json aws iam create-role --role-name "USDROLE_NAME" --assume-role-policy-document file://trust.json --description "role for demo" while IFS= read -r POLICY_ARN; do echo -n "Attaching USDPOLICY_ARN ... " aws iam attach-role-policy --role-name "USDROLE_NAME" --policy-arn "USD{POLICY_ARN}" echo "ok." done <<< "USDPOLICY_ARN_STRINGS"
noobaa backingstore create aws-sts-s3 <backingstore-name> --aws-sts-arn=<aws-sts-role-arn> --region=<region> --target-bucket=<target-bucket>
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
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Created: BackingStore "ibm-resource" INFO[0002] ✅ Created: Secret "backing-store-secret-ibm-resource"
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>
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
noobaa backingstore create azure-blob <backingstore_name> --account-key=<AZURE ACCOUNT KEY> --account-name=<AZURE ACCOUNT NAME> --target-blob-container <blob container name> -n openshift-storage
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Created: BackingStore "azure-resource" INFO[0002] ✅ Created: Secret "backing-store-secret-azure-resource"
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>
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
noobaa backingstore create google-cloud-storage <backingstore_name> --private-key-json-file=<PATH TO GCP PRIVATE KEY JSON FILE> --target-bucket <GCP bucket name> -n openshift-storage
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Created: BackingStore "google-gcp" INFO[0002] ✅ Created: Secret "backing-store-google-cloud-storage-gcp"
apiVersion: v1 kind: Secret metadata: name: <backingstore-secret-name> type: Opaque data: GoogleServiceAccountPrivateKeyJson: <GCP PRIVATE KEY ENCODED IN BASE64>
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
noobaa -n openshift-storage backingstore create pv-pool <backingstore_name> --num-volumes <NUMBER OF VOLUMES> --pv-size-gb <VOLUME SIZE> --request-cpu <CPU REQUEST> --request-memory <MEMORY REQUEST> --limit-cpu <CPU LIMIT> --limit-memory <MEMORY LIMIT> --storage-class <LOCAL STORAGE CLASS>
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> cpu: <CPU REQUEST> memory: <MEMORY REQUEST> limits: cpu: <CPU LIMIT> memory: <MEMORY LIMIT> storageClass: <LOCAL STORAGE CLASS> type: pv-pool
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Exists: BackingStore "local-mcg-storage"
noobaa backingstore create s3-compatible rgw-resource --access-key=<RGW ACCESS KEY> --secret-key=<RGW SECRET KEY> --target-bucket=<bucket-name> --endpoint=<RGW endpoint> -n openshift-storage
get secret <RGW USER SECRET NAME> -o yaml -n openshift-storage
INFO[0001] ✅ Exists: NooBaa "noobaa" INFO[0002] ✅ Created: BackingStore "rgw-resource" INFO[0002] ✅ Created: Secret "backing-store-secret-rgw-resource"
apiVersion: ceph.rook.io/v1 kind: CephObjectStoreUser metadata: name: <RGW-Username> namespace: openshift-storage spec: store: ocs-storagecluster-cephobjectstore displayName: "<Display-name>"
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