外部 prometheus监控k8s集群资源

prometheus监控k8s集群资源

• 一，通过CADvisior 监控pod的资源状态
• 二，通过kube-state-metrics 监控k8s资源状态

二进制安装的prometheus，监控k8s集群信息。

一，通过CADvisior 监控pod的资源状态

1.1 授权外边用户可以访问prometheus接口。

apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: prometheus
rules:
- apiGroups:
  - ""
  resources:
  - nodes
  - services
  - endpoints
  - pods
  - nodes/proxy
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - "extensions"
  resources:
    - ingresses
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - configmaps
  - nodes/metrics
  verbs:
  - get
- nonResourceURLs:
  - /metrics
  verbs:
  - get
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: prometheus
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: kube-system

kubectl apply -f rbac.yaml

1.2 获取token保存

kubectl get secrets -n kube-system |grep prometheus #查看toekn name
name：prometheus-token-vgxhc

kubectl describe secret prometheus-token-vgxhc -n kube-system > token.k8s
#kubectl get secrets -n kube-system -o yaml prometheus-token-vgxhc |grep token
scp token.k8s prometheus #拷贝到prometheus服务器prometheus的目录下

我的token放在 /opt/monitor/prometheus/token.k8s

1.3 配置prometheus.yml 启动并查看状态

vim prometheus.yml

  - job_name: kubernetes-nodes-cadvisor
    metrics_path: /metrics
    scheme: https
    kubernetes_sd_configs:
    - role: node
      api_server: https://172.18.0.0:6443
      bearer_token_file: /opt/monitor/prometheus/token.k8s 
      tls_config:
        insecure_skip_verify: true
    bearer_token_file: /opt/monitor/prometheus/token.k8s 
    tls_config:
      insecure_skip_verify: true
    relabel_configs:
    # 将标签(.*)作为新标签名，原有值不变
    - action: labelmap
      regex: __meta_kubernetes_node_label_(.*)
    # 修改NodeIP:10250为APIServerIP:6443
    - action: replace
      regex: (.*)
      source_labels: ["__address__"]
      target_label: __address__
      replacement: 172.18.0.0:6443
    # 实际访问指标接口 https://NodeIP:10250/metrics/cadvisor 这个接口只能APISERVER访问，故此重新标记标签使用APISERVER代理访问
    - action: replace
      source_labels: [__meta_kubernetes_node_name]
      target_label: __metrics_path__
      regex: (.*)
      replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor 

./promtool check config prometheus.yml 
重启prometheus 或 kill -HUP PrometheusPid

在prometheus的target页面查看
http://172.18.0.0:9090

1.4 Grafana 导入仪表盘

导入3119 仪表盘

完成pod资源监控

二，通过kube-state-metrics 监控k8s资源状态

2.1 部署 kube-state-metrics

apiVersion: v1
kind: ServiceAccount
metadata:
  name: kube-state-metrics
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: kube-state-metrics
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
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: ["networking.k8s.io", "extensions"]
  resources:
  - ingresses 
  verbs: ["list", "watch"]
- apiGroups: ["storage.k8s.io"]
  resources:
  - storageclasses 
  verbs: ["list", "watch"]
- apiGroups: ["certificates.k8s.io"]
  resources:
  - certificatesigningrequests
  verbs: ["list", "watch"]
- apiGroups: ["policy"]
  resources:
  - poddisruptionbudgets 
  verbs: ["list", "watch"]



---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: kube-state-metrics-resizer
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups: [""]
  resources:
  - pods
  verbs: ["get"]
- apiGroups: ["extensions","apps"]
  resources:
  - deployments
  resourceNames: ["kube-state-metrics"]
  verbs: ["get", "update"]
---
apiVersion: rbac.authorization.k8s.io/v1 
kind: ClusterRoleBinding
metadata:
  name: kube-state-metrics
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kube-state-metrics
subjects:
- kind: ServiceAccount
  name: kube-state-metrics
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: kube-state-metrics
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: kube-state-metrics-resizer
subjects:
- kind: ServiceAccount
  name: kube-state-metrics
  namespace: kube-system

---

apiVersion: apps/v1
kind: Deployment
metadata:
  name: kube-state-metrics
  namespace: kube-system
  labels:
    k8s-app: kube-state-metrics
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
    version: v1.3.0
spec:
  selector:
    matchLabels:
      k8s-app: kube-state-metrics
      version: v1.3.0
  replicas: 1
  template:
    metadata:
      labels:
        k8s-app: kube-state-metrics
        version: v1.3.0
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      priorityClassName: system-cluster-critical
      serviceAccountName: kube-state-metrics
      containers:
      - name: kube-state-metrics
        image: harbor.cpit.com.cn/monitor/kube-state-metrics:v1.8.0
        ports:
        - name: http-metrics
          containerPort: 8080
        - name: telemetry
          containerPort: 8081
        readinessProbe:
          httpGet:
            path: /healthz
            port: 8080
          initialDelaySeconds: 5
          timeoutSeconds: 5
      - name: addon-resizer
        image: harbor.cpit.com.cn/monitor/addon-resizer:1.8.6
        resources:
          limits:
            cpu: 1000m
            memory: 500Mi
          requests:
            cpu: 1000m
            memory: 500Mi
        env:
          - name: MY_POD_NAME
            valueFrom:
              fieldRef:
                fieldPath: metadata.name
          - name: MY_POD_NAMESPACE
            valueFrom:
              fieldRef:
                fieldPath: metadata.namespace
        volumeMounts:
          - name: config-volume
            mountPath: /etc/config
        command:
          - /pod_nanny
          - --config-dir=/etc/config
          - --container=kube-state-metrics
          - --cpu=100m
          - --extra-cpu=1m
          - --memory=100Mi
          - --extra-memory=2Mi
          - --threshold=5
          - --deployment=kube-state-metrics
      volumes:
        - name: config-volume
          configMap:
            name: kube-state-metrics-config
---
# Config map for resource configuration.
apiVersion: v1
kind: ConfigMap
metadata:
  name: kube-state-metrics-config
  namespace: kube-system
  labels:
    k8s-app: kube-state-metrics
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
data:
  NannyConfiguration: |-
    apiVersion: nannyconfig/v1alpha1
    kind: NannyConfiguration

---

apiVersion: v1
kind: Service
metadata:
  name: kube-state-metrics
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
    kubernetes.io/name: "kube-state-metrics"
  annotations:
    prometheus.io/scrape: 'true'
spec:
  ports:
  - name: http-metrics
    port: 8080
    targetPort: http-metrics
    protocol: TCP
  - name: telemetry
    port: 8081
    targetPort: telemetry
    protocol: TCP
  selector:
    k8s-app: kube-state-metrics

部署

kubectl apply -f kube-state-metrics.yaml
kubectl get pods -n kube-system

pod的正常运行

2.2 配置prometheus.yml

  - job_name: kubernetes-service-endpoints
    kubernetes_sd_configs:
    - role: endpoints
      api_server: https://192.168.0.0:6443
      bearer_token_file: /opt/monitor/prometheus/token.k8s
      tls_config:
        insecure_skip_verify: true
    bearer_token_file: /opt/monitor/prometheus/token.k8s
    tls_config:
      insecure_skip_verify: true
     Service没配置注解prometheus.io/scrape的不采集
    relabel_configs:
    - action: keep
      regex: true
      source_labels:
      - __meta_kubernetes_service_annotation_prometheus_io_scrape
  重命名采集目标协议
    - action: replace
      regex: (https?)
      source_labels:
      - __meta_kubernetes_service_annotation_prometheus_io_scheme
      target_label: __scheme__
  重命名采集目标指标URL路径
    - action: replace
      regex: (.+)
      source_labels:
      - __meta_kubernetes_service_annotation_prometheus_io_path
      target_label: __metrics_path__
  重命名采集目标地址
    - action: replace
      regex: ([^:]+)(?::\d+)?;(\d+)
      replacement: $1:$2
      source_labels:
      - __address__
      - __meta_kubernetes_service_annotation_prometheus_io_port
      target_label: __address__
  将K8s标签(.*)作为新标签名，原有值不变
    - action: labelmap
      regex: __meta_kubernetes_service_label_(.+)
  生成命名空间标签
    - action: replace
      source_labels:
      - __meta_kubernetes_namespace
      target_label: kubernetes_namespace
  生成Service名称标签
    - action: replace
      source_labels:
      - __meta_kubernetes_service_name
      target_label: kubernetes_service_name

./promtool check config prometheus.yml 
重启prometheus 或 kill -HUP PrometheusPid

在prometheus的target页面查看
http://172.18.0.0:9090

2.3 Grafana 导入仪表盘

Grafana导入k8s集群资源对象监控仪表盘 6417

完成k8s集群资源对象监控仪表盘监控

2.4 Grafana没有数据，添加路由转发

ip route
ip route add 172.40.0.0/16 via 172.18.2.30 dev eth0
ip route

#172.40.1.208：kube-state-metrics pod 集群内部ip
#172.18.2.30：k8s master 节点ip

然后在查看Grafana仪表盘。