K8S中Prometheus+Grafana监控

1.介绍

phometheus:当前一套非常流行的开源监控和报警系统。

运行原理：通过HTTP协议周期性抓取被监控组件的状态。输出被监控组件信息的HTTP接口称为exporter。

常用组件大部分都有exporter可以直接使用，比如haproxy,nginx，Mysql,Linux系统信息（包括磁盘、内存、CPU、网络等待）。

prometheus主要特点：

• 一个多维数据模型（时间序列由metrics指标名字和设置key/value键/值的labels构成）。
• 非常高效的存储，平均一个采样数据占~3.5字节左右，320万的时间序列，每30秒采样，保持60天，消耗磁盘大概228G。
• 一种灵活的查询语言（PromQL）。
• 无依赖存储，支持local和remote不同模型。
• 采用http协议，使用pull模式，拉取数据。
• 监控目标，可以采用服务器发现或静态配置的方式。
• 多种模式的图像和仪表板支持，图形化友好。
• 通过中间网关支持推送时间。

Grafana:是一个用于可视化大型测量数据的开源系统，可以对Prometheus 的指标数据进行可视化。

Prometheus的体系结构图：

Prometheus直接或通过中间推送网关从已检测的作业中删除指标，以处理短暂的作业。它在本地存储所有报废的样本，并对这些数据运行规则，以汇总和记录现有数据中的新时间序列，或生成警报。Grafana或其他API使用者可以用来可视化收集的数据。

2.部署prometheus

2.1 使用RBAC进行授权

[root@k8s-node01 k8s-prometheus]# cat prometheus-rbac.yaml 
apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: prometheus
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile 
rules:
  - apiGroups:
      - ""
    resources:
      - nodes
      - nodes/metrics
      - services
      - endpoints
      - pods
    verbs:
      - get
      - list
      - watch
  - apiGroups:
      - ""
    resources:
      - configmaps
    verbs:
      - get
  - nonResourceURLs:
      - "/metrics"
    verbs:
      - get
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: prometheus
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: kube-system



[root@k8s-node01 k8s-prometheus]# kubectl apply -f prometheus-rbac.yaml 
serviceaccount/prometheus created
clusterrole.rbac.authorization.k8s.io/prometheus created
clusterrolebinding.rbac.authorization.k8s.io/prometheus created

2.2 配置管理

使用Configmap保存不需要加密配置信息，yaml中修改对应的NODE IP即可。

[root@k8s-node01 k8s-prometheus]# cat prometheus-configmap.yaml 
# Prometheus configuration format https://prometheus.io/docs/prometheus/latest/configuration/configuration/
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: kube-system 
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: EnsureExists
data:
  prometheus.yml: |
    rule_files:
    - /etc/config/rules/*.rules

    scrape_configs:
    - job_name: prometheus
      static_configs:
      - targets:
        - localhost:9090

    - job_name: kubernetes-nodes
      scrape_interval: 30s
      static_configs:
      - targets:
        - 11.0.1.13:9100
        - 11.0.1.14:9100

    - job_name: kubernetes-apiservers
      kubernetes_sd_configs:
      - role: endpoints
      relabel_configs:
      - action: keep
        regex: default;kubernetes;https
        source_labels:
        - __meta_kubernetes_namespace
        - __meta_kubernetes_service_name
        - __meta_kubernetes_endpoint_port_name
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        insecure_skip_verify: true
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
 
    - job_name: kubernetes-nodes-kubelet
      kubernetes_sd_configs:
      - role: node
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        insecure_skip_verify: true
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token

    - job_name: kubernetes-nodes-cadvisor
      kubernetes_sd_configs:
      - role: node
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      - target_label: __metrics_path__
        replacement: /metrics/cadvisor
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        insecure_skip_verify: true
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token

    - job_name: kubernetes-service-endpoints
      kubernetes_sd_configs:
      - role: endpoints
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_scrape
      - action: replace
        regex: (https?)
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_scheme
        target_label: __scheme__
      - action: replace
        regex: (.+)
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_path
        target_label: __metrics_path__
      - action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        source_labels:
        - __address__
        - __meta_kubernetes_service_annotation_prometheus_io_port
        target_label: __address__
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - action: replace
        source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - action: replace
        source_labels:
        - __meta_kubernetes_service_name
        target_label: kubernetes_name

    - job_name: kubernetes-services
      kubernetes_sd_configs:
      - role: service
      metrics_path: /probe
      params:
        module:
        - http_2xx
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        - __meta_kubernetes_service_annotation_prometheus_io_probe
      - source_labels:
        - __address__
        target_label: __param_target
      - replacement: blackbox
        target_label: __address__
      - source_labels:
        - __param_target
        target_label: instance
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - source_labels:
        - __meta_kubernetes_service_name
        target_label: kubernetes_name

    - job_name: kubernetes-pods
      kubernetes_sd_configs:
      - role: pod
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        - __meta_kubernetes_pod_annotation_prometheus_io_scrape
      - action: replace
        regex: (.+)
        source_labels:
        - __meta_kubernetes_pod_annotation_prometheus_io_path
        target_label: __metrics_path__
      - action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        source_labels:
        - __address__
        - __meta_kubernetes_pod_annotation_prometheus_io_port
        target_label: __address__
      - action: labelmap
        regex: __meta_kubernetes_pod_label_(.+)
      - action: replace
        source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - action: replace
        source_labels:
        - __meta_kubernetes_pod_name
        target_label: kubernetes_pod_name
    alerting:
      alertmanagers:
      - static_configs:
          - targets: ["alertmanager:80"]

[root@k8s-node01 k8s-prometheus]# kubectl apply -f prometheus-configmap.yaml 
configmap/prometheus-config created

2.3 有状态部署prometheus

这里使用storageclass进行动态供给，给prometheus的数据进行持久化

[root@k8s-node01 k8s-prometheus]# cat prometheus-statefulset.yaml 
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: prometheus 
  namespace: kube-system
  labels:
    k8s-app: prometheus
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
    version: v2.2.1
spec:
  serviceName: "prometheus"
  replicas: 1
  podManagementPolicy: "Parallel"
  updateStrategy:
   type: "RollingUpdate"
  selector:
    matchLabels:
      k8s-app: prometheus
  template:
    metadata:
      labels:
        k8s-app: prometheus
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      priorityClassName: system-cluster-critical
      serviceAccountName: prometheus
      initContainers:
      - name: "init-chown-data"
        image: "busybox:latest"
        imagePullPolicy: "IfNotPresent"
        command: ["chown", "-R", "65534:65534", "/data"]
        volumeMounts:
        - name: prometheus-data
          mountPath: /data
          subPath: ""
      containers:
        - name: prometheus-server-configmap-reload
          image: "jimmidyson/configmap-reload:v0.1"
          imagePullPolicy: "IfNotPresent"
          args:
            - --volume-dir=/etc/config
            - --webhook-url=http://localhost:9090/-/reload
          volumeMounts:
            - name: config-volume
              mountPath: /etc/config
              readOnly: true
          resources:
            limits:
              cpu: 10m
              memory: 10Mi
            requests:
              cpu: 10m
              memory: 10Mi

        - name: prometheus-server
          image: "prom/prometheus:v2.2.1"
          imagePullPolicy: "IfNotPresent"
          args:
            - --config.file=/etc/config/prometheus.yml
            - --storage.tsdb.path=/data
            - --web.console.libraries=/etc/prometheus/console_libraries
            - --web.console.templates=/etc/prometheus/consoles
            - --web.enable-lifecycle
          ports:
            - containerPort: 9090
          readinessProbe:
            httpGet:
              path: /-/ready
              port: 9090
            initialDelaySeconds: 30
            timeoutSeconds: 30
          livenessProbe:
            httpGet:
              path: /-/healthy
              port: 9090
            initialDelaySeconds: 30
            timeoutSeconds: 30
          # based on 10 running nodes with 30 pods each
          resources:
            limits:
              cpu: 200m
              memory: 1000Mi
            requests:
              cpu: 200m
              memory: 1000Mi
            
          volumeMounts:
            - name: config-volume
              mountPath: /etc/config
            - name: prometheus-data
              mountPath: /data
              subPath: ""
            - name: prometheus-rules
              mountPath: /etc/config/rules

      terminationGracePeriodSeconds: 300
      volumes:
        - name: config-volume
          configMap:
            name: prometheus-config
        - name: prometheus-rules
          configMap:
            name: prometheus-rules

  volumeClaimTemplates:
  - metadata:
      name: prometheus-data
    spec:
      storageClassName: managed-nfs-storage 
      accessModes:
        - ReadWriteOnce
      resources:
        requests:
          storage: "1Gi"

[root@k8s-node01 k8s-prometheus]# kubectl apply -f prometheus-statefulset.yaml 
Warning: spec.template.metadata.annotations[scheduler.alpha.kubernetes.io/critical-pod]: non-functional in v1.16+; use the "priorityClassName" field instead
statefulset.apps/prometheus created

[root@k8s-node01 k8s-prometheus]#kubectl get pod -n kube-system |grep prometheus
NAME                                    READY   STATUS    RESTARTS   AGE
prometheus-0                            2/2     Running   6          1d

2.4 创建service暴露访问端口

[root@k8s-node01 k8s-prometheus]# cat prometheus-service.yaml 
kind: Service
apiVersion: v1
metadata: 
  name: prometheus
  namespace: kube-system
  labels: 
    kubernetes.io/name: "Prometheus"
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec: 
  type: NodePort
  ports: 
    - name: http 
      port: 9090
      protocol: TCP
      targetPort: 9090
      nodePort: 30090
  selector: 
    k8s-app: prometheus

[root@k8s-master prometheus-k8s]# kubectl apply -f prometheus-service.yaml

2.5 web访问

使用任意一个NodeIP加端口进行访问，访问地址：http://NodeIP:Port

3.部署Grafana

[root@k8s-master prometheus-k8s]# cat grafana.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: grafana
  namespace: kube-system
spec:
  serviceName: "grafana"
  replicas: 1
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      containers:
      - name: grafana
        image: grafana/grafana
        ports:
          - containerPort: 3000
            protocol: TCP
        resources:
          limits:
            cpu: 100m
            memory: 256Mi
          requests:
            cpu: 100m
            memory: 256Mi
        volumeMounts:
          - name: grafana-data
            mountPath: /var/lib/grafana
            subPath: grafana
      securityContext:
        fsGroup: 472
        runAsUser: 472
  volumeClaimTemplates:
  - metadata:
      name: grafana-data
    spec:
      storageClassName: managed-nfs-storage #和prometheus使用同一个存储类
      accessModes:
        - ReadWriteOnce
      resources:
        requests:
          storage: "1Gi"

---

apiVersion: v1
kind: Service
metadata:
  name: grafana
  namespace: kube-system
spec:
  type: NodePort
  ports:
  - port : 80
    targetPort: 3000
    nodePort: 30091
  selector:
    app: grafana

[root@k8s-master prometheus-k8s]#kubectl apply -f grafana.yaml

访问方式：

使用任意一个NodeIP加端口进行访问，访问地址：http://NodeIP:Port ，默认账号密码为admin

4.监控K8S集群中Pod、Node、资源对象数据的方法

Pod：

kubelet的节点使用cAdvisor提供的metrics接口获取该节点所有Pod和容器相关的性能指标数据，安装kubelet默认就开启了

Node：

需要使用node_exporter收集器采集节点资源利用率。

使用node_exporter.sh脚本分别在所有服务器上部署node_exporter收集器，不需要修改可直接运行脚本

[root@k8s-master prometheus-k8s]# cat node_exporter.sh 
#!/bin/bashwget https://github.com/prometheus/node_exporter/releases/download/v0.17.0/node_exporter-0.17.0.linux-amd64.tar.gz

tar zxf node_exporter-0.17.0.linux-amd64.tar.gz
mv node_exporter-0.17.0.linux-amd64 /usr/local/node_exporter

cat <<EOF >/usr/lib/systemd/system/node_exporter.service
[Unit]
Description=https://prometheus.io

[Service]
Restart=on-failure
ExecStart=/usr/local/node_exporter/node_exporter --collector.systemd --collector.systemd.unit-whitelist=(docker|kubelet|kube-proxy|flanneld).service

[Install]
WantedBy=multi-user.target
EOF

systemctl daemon-reload
systemctl enable node_exporter
systemctl restart node_exporter
[root@k8s-master prometheus-k8s]# ./node_exporter.sh

[root@k8s-master prometheus-k8s]# ps -ef|grep node_exporter
root       6227      1  0 Oct08 ?        00:06:43 /usr/local/node_exporter/node_exporter --collector.systemd --collector.systemd.unit-whitelist=(docker|kubelet|kube-proxy|flanneld).service
root     118269 117584  0 23:27 pts/0    00:00:00 grep --color=auto node_exporter

资源对象：

kube-state-metrics采集了k8s中各种资源对象的状态信息，只需要在master节点部署就行

1.创建rbac的yaml对metrics进行授权

[root@k8s-master prometheus-k8s]# cat kube-state-metrics-rbac.yaml
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: ["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: 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"]
  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
[root@k8s-master prometheus-k8s]# kubectl apply -f kube-state-metrics-rbac.yaml

2.编写Deployment和ConfigMap的yaml进行metrics pod部署，不需要进行修改

[root@k8s-master prometheus-k8s]# cat kube-state-metrics-deployment.yaml
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: lizhenliang/kube-state-metrics:v1.3.0
        ports:
        - name: http-metrics
          containerPort: 8080
        - name: telemetry
          containerPort: 8081
        readinessProbe:
          httpGet:
            path: /healthz
            port: 8080
          initialDelaySeconds: 5
          timeoutSeconds: 5
      - name: addon-resizer
        image: lizhenliang/addon-resizer:1.8.3
        resources:
          limits:
            cpu: 100m
            memory: 30Mi
          requests:
            cpu: 100m
            memory: 30Mi
        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
[root@k8s-master prometheus-k8s]# kubectl apply -f kube-state-metrics-deployment.yaml

3.编写Service的yaml对metrics进行端口暴露

[root@k8s-master prometheus-k8s]# cat kube-state-metrics-service.yaml
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
[root@k8s-master prometheus-k8s]# kubectl apply -f kube-state-metrics-service.yaml

[root@k8s-master prometheus-k8s]# kubectl get pod,svc -n kube-system
NAME                                        READY   STATUS    RESTARTS   AGE
pod/alertmanager-5d75d5688f-fmlq6           2/2     Running   0          9dpod/coredns-5bd5f9dbd9-wv45t                1/1     Running   1          9dpod/grafana-0                               1/1     Running   2          15dpod/kube-state-metrics-7c76bdbf68-kqqgd     2/2     Running   6          14dpod/kubernetes-dashboard-7d77666777-d5ng4   1/1     Running   5          16dpod/prometheus-0                            2/2     Running   6          15dNAME                           TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)             AGE
service/alertmanager           ClusterIP   10.0.0.207   <none>        80/TCP              13dservice/grafana                NodePort    10.0.0.74    <none>        80:30091/TCP        15dservice/kube-dns               ClusterIP   10.0.0.2     <none>        53/UDP,53/TCP       14dservice/kube-state-metrics     ClusterIP   10.0.0.194   <none>        8080/TCP,8081/TCP   14dservice/kubernetes-dashboard   NodePort    10.0.0.127   <none>        443:30001/TCP       17dservice/prometheus             NodePort    10.0.0.33    <none>        9090:30090/TCP      14d

报错一：进行2.1步骤时报错：ensure CRDs are installed first

[root@k8s-node01 k8s-prometheus]# kubectl apply -f prometheus-rbac.yaml
serviceaccount/prometheus unchanged
resource mapping not found for name: "prometheus" namespace: "" from "prometheus-rbac.yaml": no matches for kind "ClusterRole" in version "rbac.authorization.k8s.io/v1beta1"
ensure CRDs are installed first
resource mapping not found for name: "prometheus" namespace: "" from "prometheus-rbac.yaml": no matches for kind "ClusterRoleBinding" in version "rbac.authorization.k8s.io/v1beta1"
ensure CRDs are installed first

使用附件的原yaml会报错，原因是因为api过期，需要手动修改 apiVersion: rbac.authorization.k8s.io/v1beta1为apiVersion: rbac.authorization.k8s.io/v1