Centos7二进制部署k8s-v1.20.2 ipvs版本(Prometheus监控k8s)

一、k8s部署Prometheus

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1、组件说明
1）MetricServer：是kubernetes集群资源使用情况的聚合器，收集数据给kubernetes集群内使用，如kubectl,hpa,scheduler等。
2）PrometheusOperator：是一个系统监测和警报工具箱，用来存储监控数据。
3）NodeExporter：用于各node的关键度量指标状态数据。
4）KubeStateMetrics：收集kubernetes集群内资源对象数据，制定告警规则。
5）Prometheus：采用pull方式收集apiserver，scheduler，controller-manager，kubelet组件数据，通过http协议传输。
6）Grafana：是可视化数据统计和监控平台。
2、git上拉工程

git clone https://github.com/coreos/kube-prometheus.git

3、修改容器访问方式

cd /root/kube-prometheus/manifests
# 修改 grafana-service.yaml 文件，使用 nodepode 方式访问 grafana
apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: grafana
    app.kubernetes.io/name: grafana
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 8.0.3
  name: grafana
  namespace: monitoring
spec:
  type: NodePort             #添加内容
  ports:
  - name: http
    port: 3000
    targetPort: http
    nodePort: 30100          #添加内容
  selector:
    app.kubernetes.io/component: grafana
    app.kubernetes.io/name: grafana
    app.kubernetes.io/part-of: kube-prometheus

# 修改 prometheus-service.yaml，改为 nodepode
apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.28.1
    prometheus: k8s
  name: prometheus-k8s
  namespace: monitoring
spec:
  type: NodePort            #添加内容
  ports:
  - name: web
    port: 9090
    targetPort: web
    nodePort: 30200         #添加内容
  selector:
    app: prometheus
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    prometheus: k8s
  sessionAffinity: ClientIP

# 修改 alertmanager-service.yaml，改为 nodepode
apiVersion: v1
kind: Service
metadata:
  labels:
    alertmanager: main
    app.kubernetes.io/component: alert-router
    app.kubernetes.io/name: alertmanager
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 0.22.2
  name: alertmanager-main
  namespace: monitoring
spec:
  type: NodePort            #添加内容
  ports:
  - name: web
    port: 9093
    targetPort: web
    nodePort: 30300         #添加内容
  selector:
    alertmanager: main
    app: alertmanager
    app.kubernetes.io/component: alert-router
    app.kubernetes.io/name: alertmanager
    app.kubernetes.io/part-of: kube-prometheus
  sessionAffinity: ClientIP

4、修改镜像地址，国外有些镜像拉不下来

# 修改kube-state-metrics-deployment.yaml中的镜像地址
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.1.1
  name: kube-state-metrics
  namespace: monitoring
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/component: exporter
      app.kubernetes.io/name: kube-state-metrics
      app.kubernetes.io/part-of: kube-prometheus
  template:
    metadata:
      annotations:
        kubectl.kubernetes.io/default-container: kube-state-metrics
      labels:
        app.kubernetes.io/component: exporter
        app.kubernetes.io/name: kube-state-metrics
        app.kubernetes.io/part-of: kube-prometheus
        app.kubernetes.io/version: 2.1.1
    spec:
      containers:
      - args:
        - --host=127.0.0.1
        - --port=8081
        - --telemetry-host=127.0.0.1
        - --telemetry-port=8082
        image: bitnami/kube-state-metrics:latest             #修改镜像地址
        name: kube-state-metrics
        resources:
          limits:
            cpu: 100m
            memory: 250Mi
          requests:
            cpu: 10m
            memory: 190Mi
        securityContext:
          runAsUser: 65534
      - args:
        - --logtostderr
        - --secure-listen-address=:8443
        - --tls-cipher-suites=TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305,TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305
        - --upstream=http://127.0.0.1:8081/
        image: quay.io/brancz/kube-rbac-proxy:v0.11.0
        name: kube-rbac-proxy-main
        ports:
        - containerPort: 8443
          name: https-main
        resources:
          limits:
            cpu: 40m
            memory: 40Mi
          requests:
            cpu: 20m
            memory: 20Mi
        securityContext:
          runAsGroup: 65532
          runAsNonRoot: true
          runAsUser: 65532
      - args:
        - --logtostderr
        - --secure-listen-address=:9443
        - --tls-cipher-suites=TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384,TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305,TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305
        - --upstream=http://127.0.0.1:8082/
        image: quay.io/brancz/kube-rbac-proxy:v0.11.0
        name: kube-rbac-proxy-self
        ports:
        - containerPort: 9443
          name: https-self
        resources:
          limits:
            cpu: 20m
            memory: 40Mi
          requests:
            cpu: 10m
            memory: 20Mi
        securityContext:
          runAsGroup: 65532
          runAsNonRoot: true
          runAsUser: 65532
      nodeSelector:
        kubernetes.io/os: linux
      serviceAccountName: kube-state-metrics
# 修改prometheus-prometheus.yaml镜像地址
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
  labels:
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.28.1
    prometheus: k8s
  name: k8s
  namespace: monitoring
spec:
  alerting:
    alertmanagers:
    - apiVersion: v2
      name: alertmanager-main
      namespace: monitoring
      port: web
  enableFeatures: []
  externalLabels: {}
  image: registry.cn-hangzhou.aliyuncs.com/zenggh/prometheus:v2.28.1       #修改此处镜像
  nodeSelector:
    kubernetes.io/os: linux
  podMetadata:
    labels:
      app.kubernetes.io/component: prometheus
      app.kubernetes.io/name: prometheus
      app.kubernetes.io/part-of: kube-prometheus
      app.kubernetes.io/version: 2.28.1
  podMonitorNamespaceSelector: {}
  podMonitorSelector: {}
  probeNamespaceSelector: {}
  probeSelector: {}
  replicas: 2
  resources:
    requests:
      memory: 400Mi
  ruleNamespaceSelector: {}
  ruleSelector:
    matchLabels:
      prometheus: k8s
      role: alert-rules
  securityContext:
    fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 1000
  serviceAccountName: prometheus-k8s
  serviceMonitorNamespaceSelector: {}
  serviceMonitorSelector: {}
  version: 2.28.1

5、创建容器

cd /root/kube-prometheus/manifests
kubectl create namespace monitoring
kubectl apply -f .
kubectl apply -f ./setup

6、等待容器创建成功，浏览器访问
Prometheus访问地址：http://ip:30200/

 Grafana访问地址：http://ip:30100/ 默认账号密码：admin/admin

7、Grafana添加监控项

　　1)添加数据源

 　　2）选择源数据

 　　3）测试连通性

 　　4）导入监控项

 　　5）查看

 　　6）选择查看监控项

 　　7）查看集群节点资源占用率