1. 先创建命名空间

kubectl create ns  monitor

运行yaml

 kubectl apply -f  node-exporter-daemonset.yaml

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: monitor 
  labels:
    k8s-app: node-exporter
spec:
  selector:
    matchLabels:
        k8s-app: node-exporter
  template:
    metadata:
      labels:
        k8s-app: node-exporter
    spec:
      tolerations:
        - effect: NoSchedule
          key: node-role.kubernetes.io/master
      containers:
      - image: prom/node-exporter:v1.3.1 
        imagePullPolicy: IfNotPresent
        name: prometheus-node-exporter
        ports:
        - containerPort: 9100
          hostPort: 9100
          protocol: TCP
          name: metrics
        volumeMounts:
        - mountPath: /host/proc
          name: proc
        - mountPath: /host/sys
          name: sys
        - mountPath: /host
          name: rootfs
        args:
        - --path.procfs=/host/proc
        - --path.sysfs=/host/sys
        - --path.rootfs=/host
      volumes:
        - name: proc
          hostPath:
            path: /proc
        - name: sys
          hostPath:
            path: /sys
        - name: rootfs
          hostPath:
            path: /
      hostNetwork: true
      hostPID: true

2. 接入prometheus

修改prometheus的配置文件 prometheus.yml

  - job_name: "node-exporter"
    static_configs:
      - targets:  ["192.168.10.23:9100"] 
      - targets:  ["192.168.10.33:9100"]   

重启 prometheus

systemctl restart prometheus.service

4. 通过prometheus查看

5. 通过 grafana

先添加数据源

选择prometheus

导入 dashboards

可以在这个网站找对应的 dashboards

https://grafana.com/grafana/dashboards/?pg=graf&plcmt=dashboard-below-text

在这里输入ID ，这里使用15172，1860这边测试一下，使用不了

选择数据源