Kubernetes 中 Deployment 的基本操作

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kubectl create deployment nginx --image=nginx --dry-run -o yaml

kubectl run nginx --image=nginx

kubectl apply -f deployment.yaml

kubectl set image  deployment/nginx nginx=nginx:1.9.1

kubectl set resource deployment/nginx -c=nginx --limits=cpu=200m,memory=512Mi

kubectl edit deployment nginx

spec:
  strategy:
    rollingUpdate:
      maxSurge: 25% # 最大额外副本比例
      maxUnavailable: 25% # 最少不可以副本比例
    type: RollingUpdate

kubectl rollout pause deployment/nginx

kubectl rollout resume deployment/nginx

kubectl rollout undo deployment/nginx --to-revision=2

kubectl rollout status deployment/nginx

kubectl rollout history deployment/nginx

kubectl scale deployment/nginx --replicas=3

args:
- --logtostderr
- --kubelet-insecure-tls
- --kubelet-preferred-address-types=InternalIP

helm install stable/metrics-server \
-n metrics-server \
--namespace kube-system \
-f metrics-server.yaml

kubectl top node
NAME         CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%
i-d7uwk2b1   443m         5%     5213Mi          67%

kubectl autoscale  deployment/nginx --min=1 --max=5 --cpu-percent=80