Add ACS computing power to an ACK Serverless cluster

Prerequisites

• The first time you perform this procedure, you must activate the required services and grant the necessary permissions.

  • Activate Container Service for Kubernetes (ACK), grant the default roles, and activate related cloud services. For more information, see Create a dedicated Kubernetes cluster.

  • Log on to the ACS console and follow the on-screen instructions to activate Container Compute Service (ACS).

• The ACK Serverless cluster must be running Kubernetes 1.26 or later.

• The required ACK Virtual Node component version depends on the Kubernetes version of your ACK Serverless Pro cluster:

  Kubernetes version	Component version
  1.26 or later	v2.13.0 or later

Upgrade the ACK Virtual Node component

The ACK Virtual Node component is installed by default in ACK Serverless Pro clusters. Make sure that the component is upgraded to the version specified in the Prerequisites section.

1. On the Clusters page, click the name of your cluster. In the left navigation pane, click Components and Add-ons.

2. On the Core Components tab, find the ACK Virtual Node component and upgrade it.

   Note

   If you are prompted to activate and authorize Container Compute Service (ACS), follow the instructions to complete the activation and authorization, and then upgrade the component.

   In the left-side navigation pane of the cluster, choose O&M > Add-ons. Find the ACK Virtual Node component and confirm that its status is installed and its version is v2.13.0 or later.

Example: Use ACS computing power

When you create a pod in an ACK Serverless Pro cluster, you can use ACS computing power by adding the alibabacloud.com/compute-class:<ACS_compute_class> label to specify the pod's compute class. For more information about ACS pod types, see ACS pod instance overview.

1. Save the following YAML content as nginx.yaml to create a Deployment.

   apiVersion: apps/v1
   kind: Deployment
   metadata:
     name: nginx
     labels:
       app: nginx
   spec:
     replicas: 2
     selector:
       matchLabels:
         app: nginx
     template:
       metadata:
         name: nginx
         labels:
           app: nginx 
           alibabacloud.com/compute-class: general-purpose # Configure the compute class for the ACS pod. Default: general-purpose.
           alibabacloud.com/compute-qos: default # Configure the QoS class for the ACS pod. Default: default.
       spec:
         containers:
         - name: nginx
           image: registry.openanolis.cn/openanolis/nginx:1.14.1-8.6
           resources:
             limits:
               cpu: 2
             requests:
               cpu: 2

2. Create the Deployment and view the result.

   1. Create the Deployment.

      kubectl apply -f nginx.yaml 

      Expected output:

      deployment.apps/nginx created

   2. View the deployment result.

      kubectl get pods -o wide

      Expected output:

      NAME                     READY   STATUS    RESTARTS   AGE   IP              NODE                            NOMINATED NODE   READINESS GATES
      nginx-675c8f56b4-4zczj   1/1     Running   0          25s   192.168.3.220   virtual-kubelet-cn-shanghai-l   <none>           <none>
      nginx-675c8f56b4-dgzvz   1/1     Running   0          25s   192.168.3.219   virtual-kubelet-cn-shanghai-l   <none>           <none>

3. View the pod details to confirm that it is an ACS pod.

   kubectl describe pod nginx-675c8f56b4-4zczj 

   In the Annotations section of the output, check the value of the alibabacloud.com/instance-id field to confirm that the pod is an ACS pod. The ID of this ACS pod is acs-uf6008givz7tfq******.

   Annotations:      ProviderCreate: done
                     alibabacloud.com/client-token: dbaa4a4f-4251-402b-b74c-9f762d******
                     alibabacloud.com/instance-id: acs-uf6008givz7tfq******
                     alibabacloud.com/pod-ephemeral-storage: 30Gi
                     alibabacloud.com/pod-use-spec: 2-2Gi
                     alibabacloud.com/request-id: 7E1F90D3-D1A4-50F3-867A-313B9F******
                     alibabacloud.com/schedule-result: finished
                     alibabacloud.com/user-id: 1488999589******
                     kubernetes.io/pod-stream-port: 10250
                     kubernetes.io/resource-type: serverless