Kubernetes(1.30) 监控

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安装Metrics Server

下载配置文件https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml。

增加启动参数--kubelet-insecure-tls。

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apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  strategy:
    rollingUpdate:
      maxUnavailable: 0
  template:
    metadata:
      labels:
        k8s-app: metrics-server
    spec:
      containers:
      - args:
        - --cert-dir=/tmp
        - --secure-port=10250
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        - --metric-resolution=15s
        - --kubelet-insecure-tls
        image: registry.k8s.io/metrics-server/metrics-server:v0.7.2

运行配置。

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kubectl apply -f components.yaml

等待十几分钟之后，CPU和Memory的使用就可以查看到了。

但是metrics server一般只是用来做弹性扩容使用，如果需要监控并且保存历史数据，还是需要使用Prometheus。

安装Prometheus Operator

参考prometheus-operator/kube-prometheus。

## Reference

>[Installing Prometheus Operator](https://prometheus-operator.dev/docs/getting-started/installation/)
>[How to monitor Kubernetes clusters with the Prometheus Operator](https://grafana.com/blog/2023/01/19/how-to-monitor-kubernetes-clusters-with-the-prometheus-operator/)