K8S之Prometheus 部署（二十）

时间：2024-11-11 06:56:33

部署方式：https://github.com/kubernetes/kubernetes/tree/master/cluster/addons/prometheus

源码目录：kubernetes/cluster/addons/prometheus

服务发现：https://prometheus.io/docs/prometheus/latest/configuration/configuration/#kubernetes_sd_config

部署条件

1、K8S中部署内部DNS服务

2、已有可使用的动态PV

配置文件

下列是已经修改好的配置文件，可根据条件自行微调

  • # 访问api授权
  • prometheus-rbac.yaml

  •  配置文件

  • apiVersion: v1
# 创建 ServiceAccount 授予权限
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: prometheus
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile 
rules:
  - apiGroups:
      - ""
    # 授予的权限
    resources:
      - nodes
      - nodes/metrics
      - services
      - endpoints
      - pods
    verbs:
      - get
      - list
      - watch
  - apiGroups:
      - ""
    resources:
      - configmaps
    verbs:
      - get
  - nonResourceURLs:
      - "/metrics"
    verbs:
      - get
---
# 角色绑定
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: prometheus
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: kube-system

  • # 管理prometheus配置文件
  • prometheus-configmap.yaml

  •  配置文件

  • # Prometheus configuration format https://prometheus.io/docs/prometheus/latest/configuration/configuration/
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: kube-system 
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: EnsureExists
data:
  # 存放prometheus配置文件
  prometheus.yml: |
    # 配置采集目标
    scrape_configs:
    - job_name: prometheus
      static_configs:
      - targets:
        # 采集自身
        - localhost:9090
    
    # 采集：Apiserver 生存指标
    # 创建的job name 名称为 kubernetes-apiservers
    - job_name: kubernetes-apiservers
      # 基于k8s的服务发现
      kubernetes_sd_configs:
      - role: endpoints
      # 使用通信标记标签
      relabel_configs:
      # 保留正则匹配标签
      - action: keep
        # 已经包含
        regex: default;kubernetes;https
        source_labels:
        - __meta_kubernetes_namespace
        - __meta_kubernetes_service_name
        - __meta_kubernetes_endpoint_port_name
      # 使用方法为https、默认http
      scheme: https
      tls_config:
        # promethus访问Apiserver使用认证
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        # 跳过https认证
        insecure_skip_verify: true
      # promethus访问Apiserver使用认证
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
 
    # 采集：Kubelet 生存指标
    - job_name: kubernetes-nodes-kubelet
      kubernetes_sd_configs:
      # 发现集群中所有的Node
      - role: node
      relabel_configs:
      # 通过regex获取关键信息
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        insecure_skip_verify: true
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token

    # 采集：nodes-cadvisor 信息
    - job_name: kubernetes-nodes-cadvisor
      kubernetes_sd_configs:
      - role: node
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      # 重命名标签
      - target_label: __metrics_path__
        replacement: /metrics/cadvisor
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        insecure_skip_verify: true
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token

    # 采集：service-endpoints 信息
    - job_name: kubernetes-service-endpoints
      # 选定指标
      kubernetes_sd_configs:
      - role: endpoints
      relabel_configs:
      - action: keep
        regex: true
        # 指定源标签
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_scrape
      - action: replace
        regex: (https?)
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_scheme
        # 重命名标签采集
        target_label: __scheme__
      - action: replace
        regex: (.+)
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_path
        target_label: __metrics_path__
      - action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        source_labels:
        - __address__
        - __meta_kubernetes_service_annotation_prometheus_io_port
        target_label: __address__
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - action: replace
        source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - action: replace
        source_labels:
        - __meta_kubernetes_service_name
        target_label: kubernetes_name

    # 采集：kubernetes-services 服务指标
    - job_name: kubernetes-services
      kubernetes_sd_configs:
      - role: service
      # 黑盒探测，探测IP与端口是否可用
      metrics_path: /probe
      params:
        module:
        - http_2xx
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_probe
      - source_labels:
        - __address__
        target_label: __param_target
      # 使用 blackbox进行黑盒探测
      - replacement: blackbox
        target_label: __address__
      - source_labels:
        - __param_target
        target_label: instance
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - source_labels:
        - __meta_kubernetes_service_name
        target_label: kubernetes_name

    # 采集： kubernetes-pods 信息
    - job_name: kubernetes-pods
      kubernetes_sd_configs:
      - role: pod
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        # 只保留采集的信息
        - __meta_kubernetes_pod_annotation_prometheus_io_scrape
      - action: replace
        regex: (.+)
        source_labels:
        - __meta_kubernetes_pod_annotation_prometheus_io_path
        target_label: __metrics_path__
      - action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        source_labels:
        # 采集地址
        - __address__
        # 采集端口 
        - __meta_kubernetes_pod_annotation_prometheus_io_port
        target_label: __address__
      - action: labelmap
        regex: __meta_kubernetes_pod_label_(.+)
      - action: replace
        source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - action: replace
        source_labels:
        - __meta_kubernetes_pod_name
        target_label: kubernetes_pod_name
    alerting:
      # 告警配置文件
      alertmanagers:
      - kubernetes_sd_configs:
          # 采用动态获取
          - role: pod
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        relabel_configs:
        - source_labels: [__meta_kubernetes_namespace]
          regex: kube-system 
          action: keep
        - source_labels: [__meta_kubernetes_pod_label_k8s_app]
          regex: alertmanager
          action: keep
        - source_labels: [__meta_kubernetes_pod_container_port_number]
          regex:
          action: drop

  • # 将prometheus暴露访问
  • prometheus-service.yaml

  • apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: prometheus
  # 部署命名空间 
  namespace: kube-system
  labels:
    k8s-app: prometheus
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
    version: v2.2.1
spec:
  serviceName: "prometheus"
  replicas: 1
  podManagementPolicy: "Parallel"
  updateStrategy:
   type: "RollingUpdate"
  selector:
    matchLabels:
      k8s-app: prometheus
  template:
    metadata:
      labels:
        k8s-app: prometheus
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      priorityClassName: system-cluster-critical
      serviceAccountName: prometheus
      # 初始化容器
      initContainers:
      - name: "init-chown-data"
        image: "busybox:latest"
        imagePullPolicy: "IfNotPresent"
        command: ["chown", "-R", "65534:65534", "/data"]
        volumeMounts:
        - name: prometheus-data
          mountPath: /data
          subPath: ""
      containers:
        - name: prometheus-server-configmap-reload
          image: "jimmidyson/configmap-reload:v0.1"
          imagePullPolicy: "IfNotPresent"
          args:
            - --volume-dir=/etc/config
            - --webhook-url=http://localhost:9090/-/reload
          volumeMounts:
            - name: config-volume
              mountPath: /etc/config
              readOnly: true
          resources:
            limits:
              cpu: 10m
              memory: 10Mi
            requests:
              cpu: 10m
              memory: 10Mi

        - name: prometheus-server
          # 主要使用镜像
          image: "prom/prometheus:v2.2.1"
          imagePullPolicy: "IfNotPresent"
          args:
            - --config.file=/etc/config/prometheus.yml
            - --storage.tsdb.path=/data
            - --web.console.libraries=/etc/prometheus/console_libraries
            - --web.console.templates=/etc/prometheus/consoles
            - --web.enable-lifecycle
          ports:
            - containerPort: 9090
          readinessProbe:
            # 健康检查
            httpGet:
              path: /-/ready
              port: 9090
            initialDelaySeconds: 30
            timeoutSeconds: 30
          livenessProbe:
            httpGet:
              path: /-/healthy
              port: 9090
            initialDelaySeconds: 30
            timeoutSeconds: 30
          # based on 10 running nodes with 30 pods each
          resources:
            limits:
              cpu: 200m
              memory: 1000Mi
            requests:
              cpu: 200m
              memory: 1000Mi
          # 数据卷
          volumeMounts:
            - name: config-volume
              mountPath: /etc/config
            - name: prometheus-data
              mountPath: /data
              subPath: ""
      terminationGracePeriodSeconds: 300
      volumes:
        - name: config-volume
          configMap:
            name: prometheus-config
  volumeClaimTemplates:
  - metadata:
      name: prometheus-data
    spec:
      # 使用动态PV、修改为已创建的PV动态存储
      storageClassName: managed-nfs-storage
      accessModes:
        - ReadWriteOnce
      resources:
        requests:
          storage: "16Gi"

  • # 通过有状态的形式将prometheus部署
  • prometheus-statefulset.yaml

  •  配置文件 

  • kind: Service
apiVersion: v1
metadata:
  name: prometheus
  # 指定命名空间
  namespace: kube-system
  labels:
    kubernetes.io/name: "Prometheus"
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  # 添加外部访问
  type: NodePort
  # 指定内部访问协议
  ports:
    - name: http
      port: 9090
      protocol: TCP
      targetPort: 9090
  selector:
    k8s-app: prometheus

部署

1、下载github包：https://github.com/kubernetes/kubernetes/

2、复制文件到指定目录

mkdir ~/prometheus
cp ~/kubernetes/cluster/addons/prometheus/* ~/prometheus/

3、进入到目录

cd ~/prometheus/

4、k8s通过配置文件创建运行容器

kubectl apply -f prometheus-rbac.yaml
kubectl apply -f prometheus-configmap.yaml
kubectl apply -f prometheus-statefulset.yaml
kubectl apply -f prometheus-service.yaml

5、查看创建资源

kubectl get pod,svc -n kube-system
NAME                           READY   STATUS    RESTARTS   AGE
pod/coredns-64479cf49b-lsqqn   1/1     Running   0          75m
pod/prometheus-0               2/2     Running   0          2m12s

NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)                  AGE
service/kube-dns     ClusterIP   10.0.0.2     <none>        53/UDP,53/TCP,9153/TCP   75m
service/prometheus   NodePort    10.0.0.170   <none>        9090:42575/TCP           8s

6、测试通过端口开启端口访问监控端

192.168.190.61:42575/graph

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