kubernetes - 在 kubernetes 中安装 heapster 或 metric 服务器以进行水平 pod 自动缩放

Question

如何安装 heapster 或 metric server 以在 kubernetes 中获取 pod 指标。我需要这些 pod 指标来使用它来水平 pod 自动缩放。我正在使用 Digital Ocean 云集​​群。部署文件在下面的屏幕截图中

Answer 1

Heapster 在最新的 Kubernetes 中已弃用。从 Kubernetes 1.11 开始，不推荐从 Heapster 获取指标。

使用 metrics-server 安装对我有用：

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

资源 ：

• https://kubernetes.io/docs/tasks/debug-application-cluster/resource-metrics-pipeline/#metrics-server
• https://github.com/kubernetes-sigs/metrics-server

Answer 2

您需要先下载以下文件：

curl https://raw.githubusercontent.com/kubernetes/heapster/master/deploy/kube-config/influxdb/grafana.yaml > grafana.yaml
curl https://raw.githubusercontent.com/kubernetes/heapster/master/deploy/kube-config/influxdb/heapster.yaml > heapster.yaml
curl https://raw.githubusercontent.com/kubernetes/heapster/master/deploy/kube-config/influxdb/influxdb.yaml > influxdb.yaml
curl https://raw.githubusercontent.com/kubernetes/heapster/master/deploy/kube-config/rbac/heapster-rbac.yaml > heapster-rbac.yaml

然后创建以下grafana、influxdb和heapster的服务实例：

$ kubectl create -f grafana.yaml
deployment "monitoring-grafana" created
service "monitoring-grafana" created

$ kubectl create -f heapster.yaml
serviceaccount "heapster" created
deployment "heapster" created
service "heapster" created

$ kubectl create -f influxdb.yaml
deployment "monitoring-influxdb" created
service "monitoring-influxdb" created

$ kubectl create -f heapster-rbac.yaml
clusterrolebinding "heapster" created

按照本教程测试您的自动缩放 pod：

https://developer.ibm.com/tutorials/autoscale-application-on-kubernetes-cluster/

希望这可以帮助。

编辑：部署文件中的资源请求：

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: db
    image: mysql
    env:
    - name: MYSQL_ROOT_PASSWORD
      value: "password"
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: wp
    image: wordpress
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"    

资源和请求应该存在于您的部署文件中，以便 HPA 可以访问它以进行自动缩放。