Workload-Workload Affinity
Using the CCE Console
- When Creating a Deployment or Creating a StatefulSet, in the Scheduling Policies area on the Configure Advanced Settings page, choose Inter-Pod Affinity and Anti-affinity > Affinity with Pods > Add. Figure 1 Affinity between pods
- Select the workloads that will be co-located with the current workload on the same node, and click OK.
The workload to be created will be deployed on the same node as the selected affinity workloads.
Using kubectl
This section uses Nginx as an example to describe how to create a workload using kubectl.
Prerequisites
The ECS where the kubectl client runs has been connected to your cluster. For details, see Connecting to a Cluster Using kubectl.
Procedure
When using kubectl to create a Deployment or using kubectl to create a StatefulSet, configure workload-workload affinity. The following is an example YAML file for workload-workload affinity.
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx
spec:
replicas: 1
selector:
matchLabels:
app: nginx
strategy:
type: RollingUpdate
template:
metadata:
labels:
app: nginx
spec:
containers:
- image: nginx
imagePullPolicy: Always
name: nginx
imagePullSecrets:
- name: default-secret
affinity:
podAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: app #workload's label key
operator: In
values:
- test #workload's label value Setting the Object Type After Creating a Workload
- Log in to the CCE console and choose Workloads > Deployments or Workloads > StatefulSets in the navigation pane.
- Click the name of the workload for which you will add a scheduling policy. On the workload details page, choose Scheduling Policies > Add Simple Scheduling Policy > Add Affinity Object.
- Set Object Type to Workload and select the workloads to be deployed on the same node as the created workload. The created workload and the selected workloads will be deployed on the same node. Figure 2 Adding an affinity object – Workload
This method can be used to add, edit, or delete scheduling policies.
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