k8s环境下搭建prometheus

前言

啥都不说，直接开造！

开造

首先在k8s集群创建命名空间monitoring

kubectl create namespace monitoring

服务账户(prometheus-sa.yaml)

apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: monitoring

集群角色(prometheus-clusterRole.yaml)

apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: prometheus
rules:
- apiGroups: [""]
  resources:
  - nodes
  - nodes/proxy
  - services
  - endpoints
  - pods
  verbs: ["get", "list", "watch"]
- apiGroups: [""]
  resources:
  - configmaps
  verbs: ["get"]
- nonResourceURLs: ["/metrics"]
  verbs: ["get"]

服务账户与集群角色绑定，完成授权(prometheus-clusterRoleBinding.yaml)

apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: prometheus
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: monitoring

创建相关内容

kubectl apply -f prometheus-sa.yaml
kubectl apply -f prometheus-clusterRole.yaml
kubectl apply -f prometheus-clusterRoleBinding.yaml

创建prometheus需要用到的配置文件，以configmap形式挂载到pod内
prometheus.yaml

global:
  scrape_interval:     15s 
  evaluation_interval: 15s 
  external_labels:
    cluster: k8s-cluster # 添加公共标签，在被其他prometheus采集时标识数据来源
alerting:
  alertmanagers:
  - static_configs:
    - targets:
       - alertmanager.monitoring.svc:9093 # 在monitoring命名空间下创建alertmanager后访问地址
 
rule_files:
  - /etc/prometheus-rules/*_rules.yaml  # rules配置文件挂载位置
  - /etc/prometheus-rules/*_alerts.yaml
 
scrape_configs:
   config.
  - job_name: 'prometheus'
    scrape_interval: 5s
    static_configs:
    - targets: ['localhost:9090']

#remote_write:
  #- url: "http://localhost:8086/api/v1/prom/write?db=prometheus&u=username&p=password"

/rules/example_rules.yaml

groups:
  - name: example
    rules:
    - record: up:count
      expr: sum(up) by (job)

/rules/example_alerts.yaml

groups:
- name: example
  rules:
  - alert: InstanceDown
    expr: up == 0.5
    for: 10m
    labels:
      severity: page
    annotations:
      summary: Instance {{ $labels.instance }} down

分别创建configmap

kubectl create configmap prometheus-rules --from-file=/rules -n monitoring
kubectl create configmap prometheus-config --from-file=prometheus.yaml -n monitoring

创建pod，如果需要将监控数据做持久化存储，需要挂载pv，同时最好使用statefuset类型创建pod，我这边使用deployment创建，将数据远程写入influxdb中，statefuset类型pod创建可以参考canal-server搭建那篇文档，文末我会将地址列出
prometheus-deploy.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: prometheus
  namespace: monitoring
  labels:
    app: prometheus
spec:
  replicas: 1
  template:
    metadata:
      labels:
        app: prometheus
    spec:
      serviceAccountName: prometheus
      containers:
      - image: prom/prometheus
        name: prometheus
        command:
        - "/bin/prometheus"
        args:
        - "--config.file=/etc/prometheus/prometheus.yml"
        - "--storage.tsdb.path=/prometheus" # 使用自身Pod进行存储
        - "--storage.tsdb.retention=30d" # 数据保留30天
        - "--web.enable-admin-api"  # 控制对admin HTTP API的访问，其中包括删除时间序列等功能
        - "--web.enable-lifecycle"  # 支持热更新，直接执行localhost:9090/-/reload立即生效
        ports:
        - containerPort: 9090
          protocol: TCP
          name: http
        volumeMounts:
        - mountPath: "/etc/prometheus"
          name: config-volume
        - mountPath: "/etc/prometheus-rules"
          name: rule-volume
        resources:
          requests:
            cpu: 100m
            memory: 100Mi
          limits:
            cpu: 4000m
            memory: 10Gi
      securityContext:
        runAsUser: 0
      volumes:
      - configMap:
          name: prometheus-config
        name: config-volume
      - name: rule-volume
        configMap:
          name: prometheus-rules

创建pod

kubectl apply -f prometheus-deploy.yaml

创建node-port类型svc，指定30090端口供外部访问
prometheus-svc.yaml

apiVersion: v1
kind: Service
metadata:
  name: prometheus
  namespace: monitoring
  labels:
    app: prometheus
spec:
  selector:
    app: prometheus
  type: NodePort
  ports:
    - name: web
      nodePort: 30090
      port: 9090
      targetPort: http

创建svc

kubectl apply -f prometheus-svc.yaml

访问master-ip:30090查看是否部署成功

总结

到这里，prometheus在k8s环境下的搭建就完成了，后面我会介绍如何通过prometheus监控整个k8s集群，点关注，不迷路哦！

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本文地址：https://blog.csdn.net/XUEJIA2S/article/details/107392719