K8s部署kube-state-metrics 并使用Prometheus监控（章节五）

2023-10-17 13:31:46

前言

前面我们已经使用kubernetes_sd_config对K8s集群进行一系列的监控了。包括使用node发现模式监控node节点资源，监控kubelet，schedule，controlle-manager，pod等。但是由于这些都是k8s内置的指标数据，不是挺好完整的，而且其他的资源对象也需要监控的，例如Deployment，Daemonset，ConfigMap等等的资源对象。因此我们可以额外在K8s集群部署一个指标采集系统kube-state-metrics，通过他去与apiserver通信，然后prometheus再去获取它的指标数据。

一、部署kube-state-metrics

github地址：https://github.com/kubernetes/kube-state-metrics
部署kube-state-metrics需要创建以下Kubernetes资源对象
RBAC认证：访问Kubernetes api的凭据相关信息
Deployment资源对象：管理和部署Pod
Service资源对象

以下为资源对象的yaml文件：

[root@k8s-master ~]#  vim rbac.yaml

# 源YAML文件可到Github下载：https://github.com/shaxiaozz/prometheus

apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.2.3
  name: kube-state-metrics
  namespace: monitor
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.2.3
  name: kube-state-metrics
rules:
- apiGroups:
  - ""
  resources:
  - configmaps
  - secrets
  - nodes
  - pods
  - services
  - 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:
  - 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
  - ingresses
  verbs:
  - list
  - watch
- apiGroups:
  - coordination.k8s.io
  resources:
  - leases
  verbs:
  - list
  - watch

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.2.3
  name: kube-state-metrics
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kube-state-metrics
subjects:
- kind: ServiceAccount
  name: kube-state-metrics
  namespace: monitor

[root@k8s-master ~]#  vim deploy.yaml

# 源YAML文件可到Github下载：https://github.com/shaxiaozz/prometheus

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.2.3
  name: kube-state-metrics
  namespace: monitor
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: kube-state-metrics
  template:
    metadata:
      labels:
        app.kubernetes.io/name: kube-state-metrics
        app.kubernetes.io/version: 2.2.3
    spec:
      containers:
      - image: registry.cn-guangzhou.aliyuncs.com/shaxiaozz/kube-state-metrics:v2.2.3
      
        # 容器资源限制
        resources:
          limits:
            memory: 300Mi
            cpu: 200m
          requests:
            memory: 150Mi
            cpu: 100m
        
        # 健康检查
        livenessProbe:
          httpGet:
            path: /healthz
            port: 8080
          initialDelaySeconds: 15
          timeoutSeconds: 5
        name: kube-state-metrics
        ports:
        - containerPort: 8080
          name: http-metrics
        - containerPort: 8081
          name: telemetry
        
        # 就绪检查
        readinessProbe:
          httpGet:
            path: /
            port: 8081
          initialDelaySeconds: 5
          timeoutSeconds: 5
        
        # 容器安全上下文
        securityContext:
          runAsUser: 65534
      nodeSelector:
        kubernetes.io/os: linux
      serviceAccountName: kube-state-metrics

[root@k8s-master ~]#  vim svc.yaml

# 源YAML文件可到Github下载：https://github.com/shaxiaozz/prometheus

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: kube-state-metrics
    app.kubernetes.io/version: 2.2.3
  name: kube-state-metrics
  namespace: monitor
spec:
  clusterIP: None
  ports:
  - name: http-metrics
    port: 8080
    targetPort: http-metrics
  - name: telemetry
    port: 8081
    targetPort: telemetry
  selector:
    app.kubernetes.io/name: kube-state-metrics

[root@pre01 kube-state-metrics]# kubectl apply -f serviceaccount.yaml
[root@pre01 kube-state-metrics]# kubectl apply -f deploy.yaml
[root@pre01 kube-state-metrics]# kubectl apply -f svc.yaml
[root@pre01 kube-state-metrics]# kubectl get svc,ep,pods -n monitor -l app.kubernetes.io/name=kube-state-metrics
NAME                         TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)             AGE
service/kube-state-metrics   ClusterIP   None         <none>        8080/TCP,8081/TCP   34m

NAME                           ENDPOINTS                                 AGE
endpoints/kube-state-metrics   10.244.219.126:8081,10.244.219.126:8080   34m

NAME                                      READY   STATUS    RESTARTS   AGE
pod/kube-state-metrics-676d558fbb-tghjx   1/1     Running   0          35m

二、修改prometheus配置文件

[root@k8s-master ~]#  vim prometh_configmap.yaml

由于我的kube-state-metrics是部署在monitor命名空间下的，因此在正则匹配上，命名空间为monitor，svc名称为kube-state-metrics才保留下来，否则就不进行监控。
#k8s kube-state-metrics监控任务

  - job_name: "kube-state-metrics"
    kubernetes_sd_configs:
    - role: endpoints
    relabel_configs:
    - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_endpoints_name]
      regex: monitor;kube-state-metrics
      action: keep

[root@k8s-master ~]#  kubectl apply -f  prometh_configmap.yaml
[root@k8s-master ~]#  curl -X POST http://10.244.219.114:9090/-/reload	#热加载配置文件

三、查看Targets

可以看到kube-state-metrics监控任务下已经有两个Targets实例了。我们可以到grup界面通过PromQL语句查询监控数据了。

例如：查看当前K8s集群有多少configmap资源对象
count(kube_configmap_created)

例如：查看当前集群有多少个Pod正在运行
count (kube_pod_container_state_started)

对文章中的yaml文件有兴趣的可查看我的github项目：https://github.com/shaxiaozz/prometheus

码农公寓

前言

一、部署kube-state-metrics

二、修改prometheus配置文件

三、查看Targets

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