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yangfk
2022-05-21

K8s 部署Prometheus （一）

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# prometheus 介绍

单机部署与介绍

# K8s 部署Prometheus （一）

# 部署kube-state-metrics服务

quio官方信息 (opens new window)

kube-state-metrics能够采集绝大多数k8s内置资源的相关数据，例如pod，deploy，service等等，同时它也提供自己的数据，主要是资源采集个数和采集发生的异常次数统计

  • 拉取镜像，上传到私服

提示：不建议用最新的

docker pull quay.io/coreos/kube-state-metrics:v1.5.0
docker tag quay.io/coreos/kube-state-metrics:v1.5.0 harbor.yfklife.cn/public/kube-state-metrics:v1.5.0
docker push harbor.yfklife.cn/public/kube-state-metrics:v1.5.0
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# 准备资源配置

github借鉴地址 (opens new window)

test -d /opt/application/prometheus/ || mkdir -p /opt/application/prometheus/ && cd /opt/application/prometheus/

  • 配置deployment

vi /opt/application/prometheus/kube-state-metrics-deployment.yaml

apiVersion: apps/v1beta2
# Kubernetes versions after 1.9.0 should use apps/v1
# Kubernetes versions before 1.8.0 should use apps/v1beta1 or extensions/v1beta1
kind: Deployment
metadata:
  name: kube-state-metrics
  namespace: kube-system
  labels:
    app: kube-state-metrics
    grafanak8sapp: "true"
spec:
  selector:
    matchLabels:
      app: kube-state-metrics
      grafanak8sapp: "true"
  replicas: 1
  strategy:
    rollingUpdate:
      maxSurge: 25%
      maxUnavailable: 25%
    type: RollingUpdate
  template:
    metadata:
      labels:
        app: kube-state-metrics
        grafanak8sapp: "true"
    spec:
      serviceAccountName: kube-state-metrics
      containers:
      - name: kube-state-metrics
        #image: harbor.yfklife.cn/public/kube-state-metrics:v1.9.8
        image: harbor.yfklife.cn/public/kube-state-metrics:v1.5.0
        imagePullPolicy: IfNotPresent
        ports:
        - name: http-metrics
          containerPort: 8080
          protocol: TCP
        #- name: telemetry
        #  containerPort: 8081
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /healthz
            port: 8080
            scheme: HTTP
          initialDelaySeconds: 5
          timeoutSeconds: 5
          successThreshold: 1
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  • 配置rbac

vi kube-state-metrics-rbac.yaml

apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
    kubernetes.io/cluster-service: "true"
  name: kube-state-metrics
  namespace: kube-system

---
apiVersion: rbac.authorization.k8s.io/v1
# kubernetes versions before 1.8.0 should use rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: kube-state-metrics
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
    kubernetes.io/cluster-service: "true"
rules:
- apiGroups: [""]
  resources:
  - configmaps
  - secrets
  - nodes
  - pods
  - services
  - resourcequotas
  - replicationcontrollers
  - limitranges
  - persistentvolumeclaims
  - persistentvolumes
  - namespaces
  - endpoints
  verbs: ["list", "watch"]
- apiGroups: ["extensions"]
  resources:
  - daemonsets
  - deployments
  - replicasets
  verbs: ["list", "watch"]
- apiGroups: ["apps"]
  resources:
  - statefulsets
  verbs: ["list", "watch"]
- apiGroups: ["batch"]
  resources:
  - cronjobs
  - jobs
  verbs: ["list", "watch"]
- apiGroups: ["autoscaling"]
  resources:
  - horizontalpodautoscalers
  verbs: ["list", "watch"]
- apiGroups: ["policy"]
  resources:
  - poddisruptionbudgets
  verbs: ["list", "watch"]

---
apiVersion: rbac.authorization.k8s.io/v1
# kubernetes versions before 1.8.0 should use rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: kube-state-metrics
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kube-state-metrics
subjects:
- kind: ServiceAccount
  name: kube-state-metrics
  namespace: kube-system
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  • 创建资源
kubectl apply -f kube-state-metrics-rbac.yaml
kubectl apply -f kube-state-metrics-deployment.yaml

kubectl get all -n kube-system |grep metrics  #检查容器是否正常运行
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metrics1

# 部署node-exporter服务

dockerhub镜像地址 (opens new window)

github借鉴地址 (opens new window)

  • 拉取镜像，上传到私服
docker pull prom/node-exporter:v0.15.0
docker tag prom/node-exporter:v0.15.0 harbor.yfklife.cn/public/node-exporter:v0.15.0
docker push harbor.yfklife.cn/public/node-exporter:v0.15.0
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# 准备资源配置

test -d /opt/application/prometheus/ || mkdir -p /opt/application/prometheus/ && cd /opt/application/prometheus/

  • 配置 Daemonset.yml

vi node-exporter-daemonset.yaml

kind: DaemonSet
apiVersion: extensions/v1beta1
metadata:
  name: node-exporter
  namespace: kube-system
  labels:
    daemon: "node-exporter"
spec:
  selector:
    matchLabels:
      daemon: "node-exporter"
  template:
    metadata:
      name: node-exporter
      labels:
        daemon: "node-exporter"
        grafanak8sapp: "true"
    spec:
      volumes:
      - name: proc
        hostPath:
          path: /proc
          type: ""
      - name: sys
        hostPath:
          path: /sys
          type: ""
      containers:
      - name: node-exporter
        image: harbor.yfklife.cn/public/node-exporter:v0.15.0
        imagePullPolicy: IfNotPresent
        args:
        - --path.procfs=/host_proc
        - --path.sysfs=/host_sys
        ports:
        - name: node-exporter
          hostPort: 9100
          containerPort: 9100
          protocol: TCP
        volumeMounts:
        - name: sys
          readOnly: true
          mountPath: /host_sys
        - name: proc
          readOnly: true
          mountPath: /host_proc
      hostNetwork: true
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  • 创建资源
kubectl apply -f node-exporter-daemonset.yaml

kubectl get all -n kube-system -owide|grep node-exporter  #检查容器是否正常运行
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metrics1

# 部署cadvisor服务

k8s集群在1.9以前默认是集成在一起的

dockerhub镜像地址 (opens new window)

github借鉴地址 (opens new window)

  • 拉取镜像，上传到私服

      cadvisor对系统内核版本要求比较高，选择系统内核兼容的版本
  [root@hdss14-21 prometheus]# uname -a
  Linux hdss14-21 3.10.0-693.el7.x86_64 #1 SMP Tue Aug 22 21:09:27 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

docker pull google/cadvisor:v0.31.0
docker tag google/cadvisor:v0.31.0 harbor.yfklife.cn/public/cadvisor:v0.31.0
docker push harbor.yfklife.cn/public/cadvisor:v0.31.0
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# 准备资源配置

test -d /opt/application/prometheus/ || mkdir -p /opt/application/prometheus/ && cd /opt/application/prometheus/

  • 配置 Daemonset.yml

vi cadvisor-daemonset.yaml

apiVersion: apps/v1 # for Kubernetes versions before 1.9.0 use apps/v1beta2
kind: DaemonSet
metadata:
  name: cadvisor
  namespace: kube-system
  annotations:
      seccomp.security.alpha.kubernetes.io/pod: 'docker/default'
spec:
  selector:
    matchLabels:
      name: cadvisor
  template:
    metadata:
      labels:
        name: cadvisor
    spec:
      hostNetwork: true
      tolerations:
      - key: node-role.kubernetes.io/master
        effect: NoSchedule
      containers:
      - name: cadvisor
        image: harbor.yfklife.cn/public/cadvisor:v0.31.0
        imagePullPolicy: IfNotPresent
        resources:
          requests:
            memory: 200Mi
            cpu: 150m
          limits:
            cpu: 300m
        volumeMounts:
        - name: rootfs
          mountPath: /rootfs
          readOnly: true
        - name: var-run
          mountPath: /var/run
          readOnly: true
        - name: sys
          mountPath: /sys
          readOnly: true
        - name: docker
          mountPath: /var/lib/docker
          readOnly: true
        ports:
          - name: http
            containerPort: 4194
            protocol: TCP
        readinessProbe:
          tcpSocket:
            port: 4194
          initialDelaySeconds: 5
          periodSeconds: 10
        args:
          - --housekeeping_interval=10s
          - --port=4194
      automountServiceAccountToken: false
      terminationGracePeriodSeconds: 30
      volumes:
      - name: rootfs
        hostPath:
          path: /
      - name: var-run
        hostPath:
          path: /var/run
      - name: sys
        hostPath:
          path: /sys
      - name: docker
        hostPath:
          path: /data/docker
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如果需要添加污点不调度，执行指定节点

kubectl describe nodes hdss14-21.host.com 
kubectl taint nodes hdss14-21.host.com node-role.kubernetes.io/master=master:NoSchedule  #添加, key=value:动作（查看帮助：kubectl taint -）
kubectl taint node hdss14-21.host.com node-role.kubernetes.io/master-  #删除
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  • 修改运行节点软链接
mount -o remount,rw /sys/fs/cgroup/
ln -s /sys/fs/cgroup/cpu,cpuacct/ /sys/fs/cgroup/cpuacct,cpu
ll /sys/fs/cgroup/ |grep cpu
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metrics1

  • 创建资源
kubectl apply -f cadvisor-daemonset.yaml

kubectl get all -n kube-system -owide |grep cadvisor  #检查容器是否正常运行
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metrics1

# 部署blackbox-exporter服务

dockerhub镜像地址 (opens new window)

github地址 (opens new window)

docker pull prom/blackbox-exporter:v0.19.0
docker tag prom/blackbox-exporter:v0.19.0 harbor.yfklife.cn/public/blackbox-exporter:v0.19.0
docker push harbor.yfklife.cn/public/blackbox-exporter:v0.19.0
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# 准备资源配置

test -d /opt/application/prometheus/ || mkdir -p /opt/application/prometheus/ && cd /opt/application/prometheus/

  • 配置 configmap.yaml

vi blackbox-exporter-configmap.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  labels:
    app: blackbox-exporter
  name: blackbox-exporter
  namespace: kube-system
data:
  blackbox.yml: |-
    modules:
      http_2xx:
        prober: http
        timeout: 2s
        http:
          valid_http_versions: ["HTTP/1.1", "HTTP/2"]
          valid_status_codes: [200,301,302]
          method: GET
          preferred_ip_protocol: "ip4"
      tcp_connect:
        prober: tcp
        timeout: 2s
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  • 配置 deployment.yaml

vi blackbox-exporter-deployment.yaml

kind: Deployment
apiVersion: apps/v1
metadata:
  name: blackbox-exporter
  namespace: kube-system
  labels:
    app: blackbox-exporter
  annotations:
    deployment.kubernetes.io/revision: 1
spec:
  replicas: 1
  selector:
    matchLabels:
      app: blackbox-exporter
  template:
    metadata:
      labels:
        app: blackbox-exporter
    spec:
      volumes:
      - name: config
        configMap:
          name: blackbox-exporter
          defaultMode: 420
      containers:
      - name: blackbox-exporter
        image: harbor.yfklife.cn/public/blackbox-exporter:v0.19.0
        imagePullPolicy: IfNotPresent
        args:
        - --config.file=/etc/blackbox_exporter/blackbox.yml
        - --log.level=info
        - --web.listen-address=:9115
        ports:
        - name: blackbox-port
          containerPort: 9115
          protocol: TCP
        resources:
          limits:
            cpu: 200m
            memory: 256Mi
          requests:
            cpu: 100m
            memory: 50Mi
        volumeMounts:
        - name: config
          mountPath: /etc/blackbox_exporter
        readinessProbe:
          tcpSocket:
            port: 9115
          initialDelaySeconds: 5
          timeoutSeconds: 5
          periodSeconds: 10
          successThreshold: 1
          failureThreshold: 3
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  • 配置 service.yaml

vi blackbox-exporter-service.yaml

kind: Service
apiVersion: v1
metadata:
  name: blackbox-exporter
  namespace: kube-system
spec:
  selector:
    app: blackbox-exporter
  ports:
    - name: blackbox-port
      protocol: TCP
      port: 9115
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  • 配置 ingress.yaml

vi blackbox-exporter-ingress.yaml

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: blackbox-exporter
  namespace: kube-system
spec:
  rules:
  - host: blackbox.yfklife.cn
    http:
      paths:
      - path: /
        backend:
          serviceName: blackbox-exporter
          servicePort: blackbox-port
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  • 创建资源
kubectl apply -f blackbox-exporter-configmap.yaml 
kubectl apply -f blackbox-exporter-deployment.yaml 
kubectl apply -f blackbox-exporter-service.yaml 
kubectl apply -f blackbox-exporter-ingress.yaml
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添加域名解析到traefik,访问域名：blackbox.yfklife.cn

blackBox1

如果对你有帮助，给博主买杯咖啡吧

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上次更新: 2022/06/11, 23:39:19
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