前置条件

1.规划两台主机安装prometheus

# kubectl get nodes --show-labels | grep prometheus
nm-foot-gxc-proms01    Ready    worker                 62d   v1.23.6   beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=proms01,kubernetes.io/os=linux,node-role.kubernetes.io/worker=,node=prometheus
nm-foot-gxc-proms02    Ready    worker                 62d   v1.23.6   beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=proms02,kubernetes.io/os=linux,node-role.kubernetes.io/worker=,node=prometheus

2.在规划的主机目录上，新建监控数据存放目录

# mkidr -p /data/prometheus-data

具体操作

1.修改prometheus-prometheus.yaml，添加retention参数

# cat prometheus-prometheus.yaml 
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
  labels:
。。。
  name: k8s
  namespace: monitoring
spec:
  retention: 90d
  alerting:
    alertmanagers:
    - apiVersion: v2
      name: alertmanager-main
      namespace: monitoring
      port: web
  enableFeatures: []
  externalLabels: {}
  image: quay.io/prometheus/prometheus:v2.36.1
  storage:
    volumeClaimTemplate:
      spec:
        storageClassName: local-storage
        accessModes: [ "ReadWriteOnce" ]
        resources:
          requests:
            storage: 150Gi
  nodeSelector:
    #kubernetes.io/os: linux
    node: prometheus
。。。

2.创建storageclass.yaml文件 

# cat storageclass.yaml 
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
  name: local-storage
provisioner: kubernetes.io/no-provisioner
volumeBindingMode: WaitForFirstConsumer

执行命令， 创建storageclass

kubectl create -f storageclass.yaml

3.删除prometheus-k8s的pod，并检查是否删除。

# kubectl delete -f prometheus-prometheus.yaml 

# kubectl get pod  -n monitoring |grep prometheus-k8s

4.创建pv.yaml

关注着3个地方的配置即可，其中，value值，就看是通过什么方式注册的，如果集群是通过ip方式注册，value值便是ip。若是通过主机名方式，则value值即是主机名。

# cat pv.yaml 
apiVersion: v1
kind: PersistentVolume
metadata:
  name: prometheus-k8s-db-prometheus-k8s-0
  namespace: monitoring
spec:
  capacity:
    storage: 150Gi
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /data/prometheus-data
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - proms01
---
apiVersion: v1
kind: PersistentVolume
metadata:
  name: prometheus-k8s-db-prometheus-k8s-1
  namespace: monitoring
spec:
  capacity:
    storage: 150Gi
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /data/prometheus-data
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - proms02
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: prometheus-k8s-db-prometheus-k8s-0
  namespace: monitoring
  labels:
    app: prometheus
    prometheus: k8s
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 150Gi 
  storageClassName: local-storage         
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: prometheus-k8s-db-prometheus-k8s-1
  namespace: monitoring
  labels:
    app: prometheus
    prometheus: k8s
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 150Gi 

所有文件改好后，执行生成pv

# kubectl create -f pv.yaml

5.部署prometheus

# kubectl create -f prometheus-prometheus.yaml 

6.检查pod的状态

# kubectl get pod -n monitoring  | grep "prometheus-k8s"

    执行kubectl get pod -n monitoring  | grep "prometheus-k8s"检查pod，状态为running 并且规划的存储目录下生成prometheus-db 则说明prometheus数据持久化成功.

检查相应的主机下，数据目录是否已生成

#  ls /data/prometheus-data/
prometheus-db