微服务收藏-开发篇

微服务治理-GPE部署-开发环境

2020-01-20  本文已影响0人  do_young

部署方案

Docker+Kubernetes


image.png

Grafana部署

grafana主要用于提供WEB界面，对promethus收集的指标信息进行可视化展示。
所以通过NodePort类型部署Service。

deployment

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: grafana-core
  namespace: t-paas
  labels:
    app: grafana
    component: core
spec:
  replicas: 1
  template:
    metadata:
      labels:
        app: grafana
        component: core
    spec:
      containers:
      - image: grafana/grafana:6.5.0
        name: grafana-core
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 3000
          protocol: TCP        
        env:
          - name: GF_SECURITY_ADMIN_PASSWORD
            value: "admin" 
        readinessProbe:
          httpGet:
            path: /login
            port: 3000
        volumeMounts:
        - name: grafana-persistent-storage
          mountPath: /var/lib/grafana
      volumes:
      - name: grafana-persistent-storage
        emptyDir: {}

service

apiVersion: v1
kind: Service
metadata:
  name: grafana-svc
  namespace: t-paas
  labels:
    app: grafana
    component: core
spec:
  type: NodePort
  ports:
    - port: 3000
      targetPort: 3000
      nodePort: 30000   
  selector:
    app: grafana
    component: core

Prometheus部署

Prometheus主要通过拉的方式收集指标信息。

configmap

收集对象需要在prometheus应用的prometheus.yml文件进行配置。
在k8s中，可以将配置文件定义在configmap中，通过volumne方式，挂载到应用容器中。
在该prometheus.yml文件中，主要配置对kubernetes中的组件及部署的服务，容器等进行监控。

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: t-paas
data:
  prometheus.yml: |
    global:
      scrape_interval:     15s
      evaluation_interval: 15s
    scrape_configs:

    - job_name: 'kubernetes-apiservers'
      kubernetes_sd_configs:
      - role: endpoints
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: default;kubernetes;https

    - job_name: 'kubernetes-nodes'
      kubernetes_sd_configs:
      - role: node
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      - target_label: __address__
        replacement: kubernetes.default.svc:443
      - source_labels: [__meta_kubernetes_node_name]
        regex: (.+)
        target_label: __metrics_path__
        replacement: /api/v1/nodes/${1}/proxy/metrics

    - job_name: 'kubernetes-cadvisor'
      kubernetes_sd_configs:
      - role: node
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      - target_label: __address__
        replacement: kubernetes.default.svc:443
      - source_labels: [__meta_kubernetes_node_name]
        regex: (.+)
        target_label: __metrics_path__
        replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor

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

    - job_name: 'kubernetes-services'
      kubernetes_sd_configs:
      - role: service
      metrics_path: /probe
      params:
        module: [http_2xx]
      relabel_configs:
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_probe]
        action: keep
        regex: true
      - source_labels: [__address__]
        target_label: __param_target
      - target_label: __address__
        replacement: blackbox-exporter.example.com:9115
      - 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-ingresses'
      kubernetes_sd_configs:
      - role: ingress
      relabel_configs:
      - source_labels: [__meta_kubernetes_ingress_annotation_prometheus_io_probe]
        action: keep
        regex: true
      - source_labels: [__meta_kubernetes_ingress_scheme,__address__,__meta_kubernetes_ingress_path]
        regex: (.+);(.+);(.+)
        replacement: ${1}://${2}${3}
        target_label: __param_target
      - target_label: __address__
        replacement: blackbox-exporter.example.com:9115
      - source_labels: [__param_target]
        target_label: instance
      - action: labelmap
        regex: __meta_kubernetes_ingress_label_(.+)
      - source_labels: [__meta_kubernetes_namespace]
        target_label: kubernetes_namespace
      - source_labels: [__meta_kubernetes_ingress_name]
        target_label: kubernetes_name

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

rbac

为promethues应用创建角色及分配权限。

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

deploy

部署prometheus应用，可以通过9090端口访问收集到的指标数据信息。

---
apiVersion: apps/v1beta2
kind: Deployment
metadata:
  labels:
    name: prometheus-deployment
  name: prometheus
  namespace: t-paas
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      labels:
        app: prometheus
    spec:
      containers:
      - image: prom/prometheus:v2.15.0
        name: prometheus
        command:
        - "/bin/prometheus"
        args:
        - "--config.file=/etc/prometheus/prometheus.yml"
        - "--storage.tsdb.path=/prometheus"
        - "--storage.tsdb.retention=24h"
        ports:
        - containerPort: 9090
          protocol: TCP
        volumeMounts:
        - mountPath: "/prometheus"
          name: data
        - mountPath: "/etc/prometheus"
          name: config-volume
      serviceAccountName: prometheus    
      volumes:
      - name: data
        emptyDir: {}
      - name: config-volume
        configMap:
          name: prometheus-config

service

kind: Service
apiVersion: v1
metadata:
  labels:
    app: prometheus
  name: prometheus-svc
  namespace: t-paas
spec:
  ports:
  - name: p9090
    port: 9090
    targetPort: 9090
  selector:
    app: prometheus

Exporter部署

部署node-exporter 收集主机中部署的k8s指标信息。

depolyment

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: t-paas
  labels:
    k8s-app: node-exporter
spec:
  template:
    metadata:
      labels:
        k8s-app: node-exporter
    spec:
      containers:
      - image: prom/node-exporter:v0.18.0
        name: node-exporter
        ports:
        - containerPort: 9100
          protocol: TCP
          name: http

service

apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: node-exporter
  name: node-exporter
  namespace: t-paas
spec:
  ports:
  - name: p9100
    port: 9100
    targetPort: 9100    
  selector:
    k8s-app: node-exporter

启动

按照以下顺序启动各服务

#node-exporter
kubectl create -f  /gpe/exporter/node-exporter-deployment.yaml
kubectl create -f  /gpe/exporter/node-exporter-service.yaml
#prometheus组件
kubectl create -f  /gpe/prometheus/rbac-setup.yaml
kubectl create -f  /gpe/prometheus/configmap.yaml 
kubectl create -f  /gpe/prometheus/prometheus.deploy.yml 
kubectl create -f  /gpe/prometheus/prometheus.svc.yml 
#安装 组件
kubectl create -f   /gpe/grafana/grafana-deploy.yaml
kubectl create -f   /gpe/grafana/grafana-svc.yaml

配置

  1. 访问grafana http://ip:30000（默认用户密码 admin admin）

  2. 配置grafana 数据源为prometheus


    配置grafana 数据源为prometheus

  3. 导入dashboard面板


    导入监控模板

  4. 配置模板数据源


    配置模板数据源

  5. 查看grafana 监控图标


    查看grafana 监控图标
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