k8s–基礎(chǔ)–26.6–監(jiān)控告警系統(tǒng)–kube-state-metrics

1、kube-state-metrics是什么？

1. kube-state-metrics 會監(jiān)聽API Server生成有關(guān)資源對象的狀態(tài)指標(biāo)，比如Deployment、Node、Pod。
2. kube-state-metrics只是簡單的提供一個metrics數(shù)據(jù)，并不會存儲這些指標(biāo)數(shù)據(jù)，我們可以使用Prometheus來抓取這些數(shù)據(jù)然后存儲。
3. 指標(biāo)數(shù)據(jù)
   1. Deployment、Pod、副本狀態(tài)等
   2. 調(diào)度了多少個replicas
   3. 現(xiàn)在可用的pod有幾個
   4. 多少個Pod是running/stopped/terminated狀態(tài)
   5. Pod重啟了多少次
   6. 我有多少job在運行中。

2、安裝kube-state-metrics前

各個節(jié)點都要操作

2.1、上傳鏡像

2.2、解壓

# 解壓縮
docker load -i /root/k8s/monitor/kube-state-metrics_1_9_0.tar.gz
 
# 刪除
rm -rf /root/k8s/monitor/kube-state-metrics_1_9_0.tar.gz

3、安裝kube-state-metrics

1. 以下操作都在master1節(jié)點上

3.1、創(chuàng)建sa，并對sa授權(quán)

3.1.1、腳本

vi /root/k8s/monitor/kube-state-metrics-rbac.yaml

內(nèi)容

# 創(chuàng)建sa
---
apiVersion: v1
kind: ServiceAccount
metadata:
  # sa 賬號名稱
  name: kube-state-metrics
  # sa 賬號名稱空間
  namespace: kube-system
---
# 對sa賬號進(jìn)行rbac授權(quán)
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: kube-state-metrics
rules:
- apiGroups: [""]
  resources: ["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"]
---
apiVersion: rbac.authorization.k8s.io/v1
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

3.1.2、執(zhí)行

kubectl apply  -f  /root/k8s/monitor/kube-state-metrics-rbac.yaml

# 查看
kubectl get sa -n kube-system | grep metrics

3.2、安裝kube-state-metrics組件

3.2.1、腳本

vi /root/k8s/monitor/kube-state-metrics-deploy.yaml

內(nèi)容

apiVersion: apps/v1
kind: Deployment
metadata:
  # Deployment的名稱和 使用的名稱空間
  name: kube-state-metrics
  namespace: kube-system
spec:
  # 副本實例
  replicas: 1
  # 標(biāo)簽選擇器，選擇哪個template
  selector:
    matchLabels:
      app: kube-state-metrics
  # 定義template
  template:
    metadata:
      labels:
        app: kube-state-metrics
    # 定義容器
    spec:
      # sa賬號
      serviceAccountName: kube-state-metrics 
      containers:
      - name: kube-state-metrics
#        image: gcr.io/google_containers/kube-state-metrics-amd64:v1.3.1
        image: quay.io/coreos/kube-state-metrics:v1.9.0
        ports:
        - containerPort: 8080

3.2.2、執(zhí)行

kubectl apply  -f /root/k8s/monitor/kube-state-metrics-deploy.yaml

# 查看
kubectl get ConfigMap -n monitor-sa

4、在grafana中導(dǎo)入kube-state-metrics的配置

4.1、配置文件

4.2、導(dǎo)入Kubernetes Cluster(Prometheus)-1577674936972.json后，效果圖

4.3、導(dǎo)入Kubernetes cluster monitoring(via Prometheus)(k8s 1.16)-1577691996738.json后，效果圖

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