Container Service for Kubernetes:Schedule an application to a specified node

Step 1: Set node labels

1. Log on to the ACK console. In the left navigation pane, click Clusters.

2. On the Clusters page, click the name of the one you want to change. In the left navigation pane, choose Nodes > Nodes.

3. In the upper-right corner of the page, click Manage Labels and Taints. On the Labels tab, add a label to the destination node.

   In this example, the Name is pod and the Value is nginx.

   For more information, see Create and manage node labels.

Step 2: Schedule the application to a specified node

1. Log on to the ACK console. In the left navigation pane, click Clusters.

2. On the Clusters page, click the name of the destination cluster. In the navigation pane on the left, choose Workloads > Deployments.

3. On the Deployments page, click Create from YAML to create an application using the following sample content, which includes a nodeSelector.

   apiVersion: apps/v1 
   kind: Deployment
   metadata:
     name: nginx-deployment-basic
     labels:
       app: nginx
   spec:
     replicas: 2
     selector:
       matchLabels:
         app: nginx
     template:
       metadata:
         labels:
           app: nginx
       spec:
         nodeSelector:
           pod: nginx      # Add the node label to run the application only on the destination node. Use the actual value.
         containers:
         - name: nginx
           image: anolis-registry.cn-zhangjiakou.cr.aliyuncs.com/openanolis/nginx:1.14.1-8.6
           ports:
           - containerPort: 80

4. On the Deployments page, click the name of the deployment. On the Pods tab, verify the nodes to which the pods are scheduled.

   If all pods are scheduled to nodes that have the pod: nginx label, the scheduling is successful.

References

• For more information about nodeSelector, see Assigning Pods to Nodes.

• You can customize a resource policy (ResourcePolicy) to specify the pod scheduling order and implement reverse scale-in when you publish or scale out an application. For more information, see Customize elastic resource priority scheduling.