Container Service for Kubernetes:Deploy the cloud-native AI suite

Pre-installed MySQL (testing only)

If you do not select ApsaraDB RDS, the cluster uses a built-in MySQL database by default.

Deployment creates a 120 GB disk as a PersistentVolumeClaim (PVC) using the StorageClass. ACK does not manage the disk lifecycle. Delete the disk manually when no longer needed.

ApsaraDB RDS (production)

Use ApsaraDB RDS for production workloads.

If a connection error occurs, see Troubleshoot instance connection failures.

To change the storage method, uninstall and reinstall the suite. Delete the Secret kubeai-rds in the kube-ai namespace before reinstalling, if it exists.

1. Purchase an ApsaraDB RDS instance and create a database and an account. See Quick start for ApsaraDB RDS and Billing overview.

2. Click Deploy Cloud-native AI Suite at the bottom of the deployment page.

3. In the ACK console, click the cluster name. In the left navigation pane, choose Configurations > Secrets.

4. From the Namespace drop-down list, select kube-ai.

5. Click Create from YAML.

6. Enter the following YAML template to create a Secret named kubeai-rds, then click Create.

   Parameter	Description
   MYSQL_HOST	The ApsaraDB RDS connection endpoint
   MYSQL_DB_NAME	The database name
   MYSQL_USER	The database account username
   MYSQL_PASSWORD	The database account password

      apiVersion: v1
      kind: Secret
      metadata:
        name: kubeai-rds
        namespace: kube-ai
      type: Opaque
      stringData:
        MYSQL_HOST: "Your RDS endpoint"
        MYSQL_DB_NAME: "Database name"
        MYSQL_USER: "Database username"
        MYSQL_PASSWORD: "Database password"

Pre-installed MinIO (testing only)

If you do not select OSS, the cluster uses a built-in MinIO instance by default.

Deployment creates a 20 GB disk as a PVC using the StorageClass. ACK does not manage the disk lifecycle. Delete the disk manually when no longer needed.

Object Storage Service (testing and production)

Use Object Storage Service (OSS) for persistent, scalable workflow data storage.

1. If the kube-ai namespace does not exist, create it:

   The kube-ai namespace is created automatically during suite deployment. Verify it exists before creating.

      kubectl create ns kube-ai

2. In the ACK console, click the cluster name. In the left navigation pane, choose Configurations > Secrets.

3. From the Namespace drop-down list, select kube-ai.

4. Click Create from YAML.

5. Enter the following YAML to create a Secret named kubeai-oss, then click Create.

   Parameter	Description
   ENDPOINT	The OSS endpoint for your region. See OSS regions and endpoints
   ACCESS_KEY_ID	The AccessKey ID of a RAM user with AliyunOSSFullAccess permission. See Create an AccessKey pair
   ACCESS_KEY_SECRET	The AccessKey secret of the RAM user

      apiVersion: v1
      kind: Secret
      metadata:
        name: kubeai-oss
        namespace: kube-ai
      type: Opaque
      stringData:
        ENDPOINT: "https://oss-cn-beijing.aliyuncs.com"
        ACCESS_KEY_ID: "****"
        ACCESS_KEY_SECRET: "****"

6. After creating the Secret, verify that a bucket named mlpipeline-<clusterid> appears in the OSS console. See Billing overview for OSS billing.

7. Return to the deployment page and install Kubeflow Pipelines.