Kubernetes 201 扩展应用 通过修改 Deployment 中副本的数量(replicas),可以动态扩展或收缩应用: scale 这些自动扩展的容器会自动加入到 service 中,而收缩回收的容器也会自动从 service 中删除。 滚动升级 滚动升级(Rolling Update)通过逐个容器替代升级的方式来实现无中断的服务升级: update1 update2 update3 update4 在滚动升级的过程中,如果发现了失败或者配置错误,还可以随时回滚: 需要注意的是, 只针对 ReplicationController。
通过修改 Deployment 中副本的数量(replicas),可以动态扩展或收缩应用:
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这些自动扩展的容器会自动加入到 service 中,而收缩回收的容器也会自动从 service 中删除。
$ kubectl scale --replicas=3 deployment/nginx-app $ kubectl get deploy NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE nginx-app 3 3 3 3 10m
滚动升级(Rolling Update)通过逐个容器替代升级的方式来实现无中断的服务升级:
kubectl rolling-update frontend-v1 frontend-v2 --image=image:v2
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在滚动升级的过程中,如果发现了失败或者配置错误,还可以随时回滚:
kubectl rolling-update frontend-v1 frontend-v2 --rollback
需要注意的是,kubectl rolling-update 只针对 ReplicationController。对于更新策略是 RollingUpdate 的 Deployment(Deployment 可以在 spec 中设置更新策略为 RollingUpdate,默认就是 RollingUpdate),更新应用后会自动滚动升级:
spec: replicas: 3 selector: matchLabels: run: nginx-app strategy: rollingUpdate: maxSurge: 1 maxUnavailable: 1 type: RollingUpdate
而更新应用的话,就可以直接用 kubectl set 命令:
kubectl set image deployment/nginx-app nginx-app=nginx:1.9.1
滚动升级的过程可以用 rollout 命令查看:
$ kubectl rollout status deployment/nginx-app Waiting for rollout to finish: 2 out of 3 new replicas have been updated... Waiting for rollout to finish: 2 of 3 updated replicas are available... Waiting for rollout to finish: 2 of 3 updated replicas are available... Waiting for rollout to finish: 2 of 3 updated replicas are available... Waiting for rollout to finish: 2 of 3 updated replicas are available... Waiting for rollout to finish: 2 of 3 updated replicas are available... deployment "nginx-app" successfully rolled out
Deployment 也支持回滚:
$ kubectl rollout history deployment/nginx-app deployments "nginx-app" REVISION CHANGE-CAUSE 1 <none> 2 <none> $ kubectl rollout undo deployment/nginx-app deployment "nginx-app" rolled back
Kubernetes 通过 cgroups 提供容器资源管理的功能,可以限制每个容器的 CPU 和内存使用,比如对于刚才创建的 deployment,可以通过下面的命令限制 nginx 容器最多只用 50% 的 CPU 和 128MB 的内存:
$ kubectl set resources deployment nginx-app -c=nginx --limits=cpu=500m,memory=128Mi deployment "nginx" resource requirements updated
这等同于在每个 Pod 中设置 resources limits:
apiVersion: v1 kind: Pod metadata: labels: app: nginx name: nginx spec: containers: - image: nginx name: nginx resources: limits: cpu: "500m" memory: "128Mi"
Kubernetes 作为一个面向应用的集群管理工具,需要确保容器在部署后确实处在正常的运行状态。Kubernetes 提供了两种探针(Probe,支持 exec、tcpSocket 和 http 方式)来探测容器的状态:
对于已经部署的 deployment,可以通过 kubectl edit deployment/nginx-app 来更新 manifest,增加健康检查部分:
apiVersion: extensions/v1beta1 kind: Deployment metadata: labels: app: nginx name: nginx-default spec: replicas: 3 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - image: nginx imagePullPolicy: Always name: http resources: {} terminationMessagePath: /dev/termination-log terminationMessagePolicy: File resources: limits: cpu: "500m" memory: "128Mi" livenessProbe: httpGet: path: / port: 80 initialDelaySeconds: 15 timeoutSeconds: 1 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 timeoutSeconds: 1