Prometheus+Grafana(外)监控Kubernetes(K8s)集群(基于containerd)

一、实验环境

1、k8s环境

**版本
v1.26.5
**
二进制安装Kubernetes(K8s)集群(基于containerd)—从零安装教程（带证书）

主机名IP系统版本安装服务master0110.10.10.21rhel7.5nginx、etcd、api-server、scheduler、controller-manager、kubelet、proxymaster0210.10.10.22rhel7.5nginx、etcd、api-server、scheduler、controller-manager、kubelet、proxymaster0310.10.10.23rhel7.5nginx、etcd、api-server、scheduler、controller-manager、kubelet、proxynode0110.10.10.24rhel7.5nginx、kubelet、proxynode0210.10.10.25rhel7.5nginx、kubelet、proxy

2、Prometheus+Grafana环境

Prometheus+Grafana监控系统

主机名IP系统版本jenkins10.10.10.10rhel7.5

3、Prometheus部署方式

kubernetes内部Prometheus监控k8s集群- Prometheus监控内部K8S就是把Prometheus部署在K8S集群内,比如部署在K8S集群的monitoring的namespace下,因为K8S在所有的namespace下自动创建了serviceAccount和对应的Secret里自带访问K8S API的token和ca,所以就不需要手动创建serviceAccount和Secret了
kubernetes外部Prometheus监控k8s- kubernetes外部Prometheus监控外部K8S就是把Prometheus部署在虚拟机上，需要自己在Prometheus.yaml手动指定API的地址，ca和Token

4、版本对应

https://github.com/kubernetes/kube-state-metrics

在这里插入图片描述

5、采集方式

Exporter：是一种将第三方组件的指标转换为Prometheus可识别的格式,并将其暴露为抓取目标的工具。在Kubernetes中,有很多第三方组件（如Etcd、Kube-proxy、Node exporter等）也会产生重要的监控指标。
kube-state-metrics：是一个独立的组件,用于暴露Kubernetes集群中各种资源（如Pod、Service、Deployment等）的状态指标，使用起来比较方便，这里我们使用此种方式

二、配置kube-state-metrics

https://github.com/kubernetes/kube-state-metrics/tree/v2.9.2/examples/standard

1、文件下载

[root@master01 kube-state-metrics]# ls
cluster-role-binding.yaml  cluster-role.yaml  deployment.yaml  service-account.yaml  service.yaml

[root@master01 kube-state-metrics]# cat cluster-role-binding.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.9.2
  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

[root@master01 kube-state-metrics]# cat cluster-role.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.9.2
  name: kube-state-metrics
rules:
- apiGroups:
  - ""
  resources:
  - configmaps
  - secrets
  - nodes
  - pods
  - services
  - serviceaccounts
  - resourcequotas
  - replicationcontrollers
  - limitranges
  - persistentvolumeclaims
  - persistentvolumes
  - namespaces
  - endpoints
  verbs:
  - list
  - watch
- apiGroups:
  - apps
  resources:
  - statefulsets
  - daemonsets
  - deployments
  - replicasets
  verbs:
  - list
  - watch
- apiGroups:
  - batch
  resources:
  - cronjobs
  - jobs
  verbs:
  - list
  - watch
- apiGroups:
  - autoscaling
  resources:
  - horizontalpodautoscalers
  verbs:
  - list
  - watch
- apiGroups:
  - authentication.k8s.io
  resources:
  - tokenreviews
  verbs:
  - create
- apiGroups:
  - authorization.k8s.io
  resources:
  - subjectaccessreviews
  verbs:
  - create
- apiGroups:
  - policy
  resources:
  - poddisruptionbudgets
  verbs:
  - list
  - watch
- apiGroups:
  - certificates.k8s.io
  resources:
  - certificatesigningrequests
  verbs:
  - list
  - watch
- apiGroups:
  - discovery.k8s.io
  resources:
  - endpointslices
  verbs:
  - list
  - watch
- apiGroups:
  - storage.k8s.io
  resources:
  - storageclasses
  - volumeattachments
  verbs:
  - list
  - watch
- apiGroups:
  - admissionregistration.k8s.io
  resources:
  - mutatingwebhookconfigurations
  - validatingwebhookconfigurations
  verbs:
  - list
  - watch
- apiGroups:
  - networking.k8s.io
  resources:
  - networkpolicies
  - ingressclasses
  - ingresses
  verbs:
  - list
  - watch
- apiGroups:
  - coordination.k8s.io
  resources:
  - leases
  verbs:
  - list
  - watch
- apiGroups:
  - rbac.authorization.k8s.io
  resources:
  - clusterrolebindings
  - clusterroles
  - rolebindings
  - roles
  verbs:
  - list
  - watch

[root@master01 kube-state-metrics]# cat deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.9.2
  name: kube-state-metrics
  namespace: kube-system
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: kube-state-metrics
  template:
    metadata:
      labels:
        app.kubernetes.io/component: exporter
        app.kubernetes.io/name: kube-state-metrics
        app.kubernetes.io/version: 2.9.2
    spec:
      automountServiceAccountToken: true
      containers:
      - image: bitnami/kube-state-metrics:2.9.2
        livenessProbe:
          httpGet:
            path: /healthz
            port: 8080
          initialDelaySeconds: 5
          timeoutSeconds: 5
        name: kube-state-metrics
        ports:
        - containerPort: 8080
          name: http-metrics
        - containerPort: 8081
          name: telemetry
        readinessProbe:
          httpGet:
            path: /
            port: 8081
          initialDelaySeconds: 5
          timeoutSeconds: 5
        securityContext:
          allowPrivilegeEscalation: false
          capabilities:
            drop:
            - ALL
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 65534
          seccompProfile:
            type: RuntimeDefault
      nodeSelector:
        kubernetes.io/os: linux
      serviceAccountName: kube-state-metrics

[root@master01 kube-state-metrics]# cat service-account.yaml
apiVersion: v1
automountServiceAccountToken: false
kind: ServiceAccount
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.9.2
  name: kube-state-metrics
  namespace: kube-system

[root@master01 kube-state-metrics]# cat service.yaml
apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: exporter
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.9.2
  name: kube-state-metrics
  namespace: kube-system
spec:
  type: NodePort
  ports:
  - name: http-metrics
    port: 8080
    targetPort: 8080
    nodePort: 32080
    protocol: TCP
  - name: telemetry
    port: 8081
    targetPort: 8081
    nodePort: 32081
    protocol: TCP
  selector:
    app.kubernetes.io/name: kube-state-metrics

2、安装kube-state-metrics

使用NodePort暴漏端口

[root@master01 kube-state-metrics]# kubectl apply -f ./
[root@master01 kube-state-metrics]# kubectl  get po -n kube-system -o wide | grep kube-state-metrics
kube-state-metrics-57ddc8c4ff-krsh2   1/1     Running   0             9m5s   10.0.3.1      master02   <none>           <none>

[root@master01 kube-state-metrics]# kubectl get svc -n kube-system | grep kube-state-metrics
kube-state-metrics   NodePort    10.97.38.90     <none>        8080:32080/TCP,8081:32081/TCP   9m17s

3、测试结果

发现部署在master02，也就是10.10.10.22

[root@master01 kube-state-metrics]# curl http://10.97.38.90:8080/healthz -w '\n'
OK

在这里插入图片描述

三、配置Prometheus

1、修改prometheus.yml

[root@jenkins ~]# cat Prometheus/prometheus.yml
  - job_name: "kube-state-metrics"
    static_configs:
      - targets: ["10.10.10.22:32080"]

  - job_name: "kube-state-telemetry"
    static_configs:
      - targets: ["10.10.10.22:32081"]

2、重启Prometheus

[root@jenkins ~]# docker ps -a
CONTAINER ID        IMAGE                               COMMAND                  CREATED             STATUS                       PORTS                    NAMES
a0497377cd82        grafana/grafana-enterprise          "/run.sh"                13 days ago         Up 3 minutes                 0.0.0.0:3000->3000/tcp   grafana
3e0e4270bd92        prom/prometheus                     "/bin/prometheus --c…"   13 days ago         Up 3 minutes                 0.0.0.0:9090->9090/tcp   prometheus

[root@jenkins ~]# docker restart 3e0e4270bd92

3、登录查看结果

在这里插入图片描述

四、配置Grafana

推荐模板：13332、13824、14518

1、导入模板

在这里插入图片描述

2、查看结果

在这里插入图片描述

标签： kubernetes prometheus grafana

本文转载自: https://blog.csdn.net/Dream_ya/article/details/131023805
版权归原作者 Wielun 所有，如有侵权，请联系我们删除。

Prometheus+Grafana(外)监控Kubernetes(K8s)集群(基于containerd)

一、实验环境

1、k8s环境

2、Prometheus+Grafana环境

3、Prometheus部署方式

4、版本对应

5、采集方式

二、配置kube-state-metrics

1、文件下载

2、安装kube-state-metrics

3、测试结果

三、配置Prometheus

1、修改prometheus.yml

2、重启Prometheus

3、登录查看结果

四、配置Grafana

1、导入模板

2、查看结果

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