部署架构图

1、grafana部署
1.1 创建namespace

apiVersion: v1
kind: Namespace
metadata:
  name: monitoring

1.2 创建 grafana

vim grafana.yaml

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: grafana
  namespace: monitoring
spec:
  rules:
  - host: grafana.test.cn
    http:
      paths:
      - path: /
        backend:
          serviceName: grafana
          servicePort: 3000
---
apiVersion: v1
kind: Service
metadata:
  name: grafana
  namespace: monitoring
  labels:
    app: grafana
  annotations:
    prometheus.io/scrape: 'true'
    prometheus.io/path: '/metrics'
spec:
  selector:
    app: grafana
  ports:
  - name: grafana
    port: 3000
    protocol: TCP
    targetPort: 3000
---
kind: PersistentVolume
apiVersion: v1
metadata:
  name: pv-grafana
  namespace: monitoring
  labels:
    pv: pv-grafana
spec:
  capacity:
    storage: 5Gi
  nfs:
    server: 172.12.0.1
    path: /data/grafana
  accessModes:
    - ReadWriteMany
  volumeMode: Filesystem
---
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: pvc-grafana
  namespace: monitoring
spec:
  accessModes:
    - ReadWriteMany
  selector:
    matchLabels:
      pv: pv-grafana
  resources:
    requests:
      storage: 5Gi
  volumeName: pv-grafana
  storageClassName: ''
  volumeMode: Filesystem
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: grafana
  namespace: monitoring
  labels:
    app: grafana
spec:
  replicas: 1
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      nodeSelector:
        kubernetes.io/hostname: k8s-worker5
      hostAliases:
      - ip: 172.13.2.2
        hostnames:
        - "kubelb"
      containers:
      - name: grafana
        image: harbor.test.cn/devops/grafana:latest
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 3000
          name: grafana
        resources:
          limits:
            cpu: 100m
            memory: 100Mi
          requests:
            cpu: 100m
            memory: 100Mi
        env:
          - name: GF_AUTH_BASIC_ENABLED
            value: "true"
          - name: GF_AUTH_ANONYMOUS_ENABLED
            value: "true"
#          - name: GF_AUTH_ANONYMOUS_ORG_ROLE
#            value: Admin
          - name: GF_DASHBOARDS_JSON_ENABLED
            value: "true"
          - name: GF_INSTALL_PLUGINS
            value: grafana-kubernetes-app,alexanderzobnin-zabbix-app
          - name: GF_SECURITY_ADMIN_USER
            valueFrom:
              secretKeyRef:
                name: grafana
                key: admin-username
          - name: GF_SECURITY_ADMIN_PASSWORD
            valueFrom:
              secretKeyRef:
                name: grafana
                key: admin-password
        readinessProbe:
          httpGet:
            path: /login
            port: 3000
          initialDelaySeconds: 10
          timeoutSeconds: 5
        volumeMounts:
        - name: grafana-storage
          mountPath: /var/lib/grafana
      volumes:
        - name: grafana-storage
          persistentVolumeClaim:
            claimName: pvc-grafana
      imagePullSecrets:
        - name: harborsecret
---
apiVersion: v1
kind: Secret
metadata:
  name: grafana
  namespace: monitoring
data:
  admin-password: YWRtaW4=
  admin-username: YWRtaW4=
type: Opaque

kubectl apply -f grafana.yaml

2、prometheus部署

vim config.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: monitoring
data:
  prometheus.yml: |
    global:
      scrape_interval: 10s
      scrape_timeout: 10s
      evaluation_interval: 10s
    alerting:
      alertmanagers:
      - static_configs:
        - targets:
          - prometheus-alert-center:8080      #          - alertmanager:9093                  #            - 172.18.0.2:31080
    rule_files:
      - "/etc/prometheus-rules/*.rules"
    scrape_configs:
      - job_name: 'node-exporter'                #node节点性能指标数据
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: endpoints
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_endpoint_port_name]
          regex: true;node-exporter
          action: keep
        - 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: 'kube-apiservers'
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: endpoints
        relabel_configs:
        - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
          regex: default;kubernetes;https
          action: keep
        
      - job_name: 'kube-controller-manager'
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: endpoints
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_namespace, __meta_kubernetes_service_name]
          regex: true;kube-system;kube-controller-manager-prometheus-discovery
          action: keep
          
      - job_name: 'kube-scheduler'
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: endpoints
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_namespace, __meta_kubernetes_service_name]
          regex: true;kube-system;kube-scheduler-prometheus-discovery
          action: keep
          
      - job_name: 'kubelet'
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: node
        relabel_configs:
        - action: labelmap
          regex: __meta_kubernetes_node_label_(.+)
        - target_label: __address__
          replacement: 172.16.6.2:8443
        - source_labels: [__meta_kubernetes_node_name]
          regex: (.+)
          target_label: __metrics_path__
          replacement: /api/v1/nodes/${1}/proxy/metrics
 
      - job_name: 'kubernetes-cadvisor'                #容器、Pod相关的性能指标数据
        scheme: https
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: node
        relabel_configs:
        - action: labelmap
          regex: __meta_kubernetes_node_label_(.+)
        - target_label: __address__
          replacement: 172.16.6.2:8443
        - source_labels: [__meta_kubernetes_node_name]
          regex: (.+)
          target_label: __metrics_path__
          replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor
        metric_relabel_configs:
        - source_labels: [id]
          action: replace
          regex: '^/machine\.slice/machine-rkt\\x2d([^\\]+)\\.+/([^/]+)\.service$'
          target_label: rkt_container_name
          replacement: '${2}-${1}'
        - source_labels: [id]
          action: replace
          regex: '^/system\.slice/(.+)\.service$'
          target_label: systemd_service_name
          replacement: '${1}'
          
      - job_name: 'kube-state-metrics'              #资源对象(Deployment、Pod等)的状态
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: endpoints
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_endpoint_port_name]
          regex: true;kube-state-metrics
          action: keep
        - 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-service-http-probe'               #通过http方式探测Service状态
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: service
        metrics_path: /probe
        params:
          module: [http_2xx]
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_service_annotation_prometheus_io_http_probe]
          regex: true;true
          action: keep
        - source_labels: [__meta_kubernetes_service_name, __meta_kubernetes_namespace, __meta_kubernetes_service_annotation_prometheus_io_http_probe_port, __meta_kubernetes_service_annotation_prometheus_io_http_probe_path]
          action: replace
          target_label: __param_target
          regex: (.+);(.+);(.+);(.+)
          replacement: $1.$2:$3$4
        - target_label: __address__
          replacement: blackbox-exporter.monitoring:9115
        - source_labels: [__param_target]
          target_label: instance
        - action: labelmap
          regex: __meta_kubernetes_service_annotation_prometheus_io_app_info_(.+)
 
      - job_name: 'kubernetes-service-tcp-probe'                #通过tcp方式探测Service状态
        tls_config:
          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
        kubernetes_sd_configs:
        - role: service
        metrics_path: /probe
        params:
          module: [tcp_connect]
        relabel_configs:
        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape, __meta_kubernetes_service_annotation_prometheus_io_tcp_probe]
          regex: true;true
          action: keep
        - source_labels: [__meta_kubernetes_service_name, __meta_kubernetes_namespace, __meta_kubernetes_service_annotation_prometheus_io_tcp_probe_port]
          action: replace
          target_label: __param_target
          regex: (.+);(.+);(.+)
          replacement: $1.$2:$3
        - target_label: __address__
          replacement: blackbox-exporter.monitoring:9115
        - source_labels: [__param_target]
          target_label: instance
        - action: labelmap
          regex: __meta_kubernetes_service_annotation_prometheus_io_app_info_(.+)
          
      - job_name: 'kubernetes-ingresses'              #通过http方式探测ingresses状态
        kubernetes_sd_configs:
        - role: ingress
        metrics_path: /probe
        params:
          module: [http_2xx]
        relabel_configs:
        - 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.monitoring: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: 'mysql-performance'
        scrape_interval: 1m
        static_configs:
            - targets:
                ['mysqld-exporter.monitoring:9104']
        params:
            collect[]:
                - global_status
                - perf_schema.tableiowaits
                - perf_schema.indexiowaits 
                - perf_schema.tablelocks
                
      - job_name: 'redis'
        static_configs:
             - targets: ['redis-exporter.monitoring:9121']
             
      - job_name: 'RabbitMQ'
        static_configs:
             - targets: ['rabbitmq-exporter.monitoring:9419']

vim rbac.yaml

apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: monitoring
 
---
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: ["networking.k8s.io"]
  resources:
  - ingresses
  verbs: ["get", "list", "watch"]
- apiGroups: [""]
  resources:
  - configmaps
  verbs: ["get"]
- nonResourceURLs: ["/metrics"]
  verbs: ["get"]
 
---
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: monitoring

vim rules.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-rules
  namespace: monitoring
data:
  node.rules: |
    groups:
    - name: node
      rules:
      - alert: NodeDown
        expr: up == 0
        for: 3m
        labels:
          severity: critical
        annotations:
          summary: "{{ $labels.instance }}: down"
          description: "{{ $labels.instance }} has been down for more than 3m"
          value: "{{ $value }}"
          
      - alert: NodeCPUHigh
        expr: (1 - avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m]))) * 100 > 75
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: High CPU usage"
          description: "{{$labels.instance}}: CPU usage is above 75%"
          value: "{{ $value }}"
          
      - alert: NodeCPUIowaitHigh
        expr: avg by (instance) (irate(node_cpu_seconds_total{mode="iowait"}[5m])) * 100 > 80
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: High CPU iowait usage"
          description: "{{$labels.instance}}: CPU iowait usage is above 80%"
          value: "{{ $value }}"
          
      - alert: NodeMemoryUsageHigh
        expr: (1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100 > 85
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: High memory usage"
          description: "{{$labels.instance}}: Memory usage is above 85%"
          value: "{{ $value }}"
          
      - alert: NodeDiskRootLow
        expr: (1 - node_filesystem_avail_bytes{fstype=~"ext.*|xfs",mountpoint ="/"} / node_filesystem_size_bytes{fstype=~"ext.*|xfs",mountpoint ="/"}) * 100 > 80
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: Low disk(the / partition) space"
          description: "{{$labels.instance}}: Disk(the / partition) usage is above 80%"
          value: "{{ $value }}"
        
      - alert: NodeDiskBootLow
        expr: (1 - node_filesystem_avail_bytes{fstype=~"ext.*|xfs",mountpoint ="/boot"} / node_filesystem_size_bytes{fstype=~"ext.*|xfs",mountpoint ="/boot"}) * 100 > 80
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: Low disk(the /boot partition) space"
          description: "{{$labels.instance}}: Disk(the /boot partition) usage is above 80%"
          value: "{{ $value }}"
          
      - alert: NodeLoad5High
        expr: (node_load5) > (count by (instance) (node_cpu_seconds_total{mode='system'}) * 2)
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "{{$labels.instance}}: Load(5m) High"
          description: "{{$labels.instance}}: Load(5m) is 2 times the number of CPU cores"
          value: "{{ $value }}"

vim prometheus.yaml

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: prometheus
  namespace: monitoring
spec:
  rules:
  - host: prometheus.test.cn
    http:
      paths:
      - path: /
        backend:
          serviceName: prometheus
          servicePort: 9090
 
---         
apiVersion: v1
kind: Service
metadata:
  name: prometheus
  namespace: monitoring
  labels:
    app: prometheus
  annotations:
    prometheus.io/scrape: 'true'
spec:
  selector:
    app: prometheus
  ports:
  - name: prometheus
    port: 9090
    protocol: TCP
    targetPort: 9090
          
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus
  namespace: monitoring
  labels:
    app: prometheus
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      name: prometheus
      labels:
        app: prometheus
    spec:
      serviceAccountName: prometheus
      containers:
      - name: prometheus
        image: harbor.test.cn/devops/prometheus:latest
        imagePullPolicy: IfNotPresent
        args:
          - '--storage.tsdb.path=/prometheus'
          - '--storage.tsdb.retention.time=30d'
          - '--config.file=/etc/prometheus/prometheus.yml'
        ports:
        - containerPort: 9090
        volumeMounts:
        - name: config
          mountPath: /etc/prometheus
        - name: rules
          mountPath: /etc/prometheus-rules
        - name: prometheus
          mountPath: /prometheus
      volumes:
      - name: config
        configMap:
          name: prometheus-config
      - name: rules
        configMap:
          name: prometheus-rules
      - name: prometheus
        emptyDir: {}
      imagePullSecrets:
        - name: harborsecret
      nodeSelector:
        kubernetes.io/hostname: cqprodk8slnx08
      tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule

3、部署告警

vim PrometheusAlert.yaml

# apiVersion: v1
# kind: Namespace
# metadata:
#   name: monitoring
---  
apiVersion: v1
data:
  app.conf: |
    #---------------------全局配置-----------------------
    appname = PrometheusAlert
    #登录用户名
    login_user=prometheusalert
    #登录密码
    login_password=prometheusalert
    #监听地址
    httpaddr = "0.0.0.0"
    #监听端口
    httpport = 8080
    runmode = dev
    #开启JSON请求
    copyrequestbody = true
    #告警消息标题
    title=ServerAlert
    #链接到告警平台地址
    GraylogAlerturl=https://alertmanager.test.cn/
    #自动告警抑制(自动告警抑制是默认同一个告警源的告警信息只发送告警级别最高的第一条告警信息,其他消息默认屏蔽,这么做的目的是为了减少相同告警来源的消息数量,防止告警炸弹,0为关闭,1为开启)
    silent=0
    #是否前台输出file or console
    logtype=file
    #日志文件路径
    logpath=logs/prometheusalertcenter.log
    #转换Prometheus,graylog告警消息的时区为CST时区(如默认已经是CST时区，请勿开启)
    prometheus_cst_time=0
    #数据库驱动，支持sqlite3，mysql,postgres如使用mysql或postgres，请开启db_host,db_port,db_user,db_password,db_name的注释
    db_driver=mysql
    db_host=172.12.0.4
    db_port=3306
    db_user=xxx
    db_password=xxxxx
    db_name=prometheusalert
    #---------------------飞书-----------------------
    #是否开启飞书告警通道,可同时开始多个通道0为关闭,1为开启
    open-feishu=1
    #默认飞书机器人地址
    fsurl=https://xxxxx
    #---------------------邮件配置-----------------------
    #是否开启邮件
    open-email=1
    #邮件发件服务器地址
    Email_host=smtp.exmail.qq.com
    #邮件发件服务器端口
    Email_port=465
    #邮件帐号
    Email_user=test@test.com
    #邮件密码
    Email_password=xxxxxx
    #邮件标题
    Email_title=DevOps监控告警
    #默认发送邮箱
    Default_emails=test@test.com
  user.csv: |
    2024年2月3日,xxxxxx,xxx
kind: ConfigMap
metadata:
  name: prometheus-alert-center-conf
  namespace: monitoring
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: prometheus-alert-center
    alertname: prometheus-alert-center
  name: prometheus-alert-center
   namespace: monitoring  
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus-alert-center
      alertname: prometheus-alert-center
  template:
    metadata:
      labels:
        app: prometheus-alert-center
        alertname: prometheus-alert-center
    spec:
      nodeSlector:
        node: k8s
      containers:
      - image: feiyu563/prometheus-alert
        name: prometheus-alert-center
        env:
        - name: TZ
          value: "Asia/Shanghai"
        ports:
        - containerPort: 8080
          name: http
        resources:
          limits:
            cpu: 200m
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 100Mi
        volumeMounts:
        - name: prometheus-alert-center-conf-map
          mountPath: /app/conf/app.conf
          subPath: app.conf
        - name: prometheus-alert-center-conf-map
          mountPath: /app/user.csv
          subPath: user.csv
      volumes:
      - name: prometheus-alert-center-conf-map
        configMap:
          name: prometheus-alert-center-conf
          items:
          - key: app.conf
            path: app.conf
          - key: user.csv
            path: user.csv
---
apiVersion: v1
kind: Service
metadata:
  labels:
    alertname: prometheus-alert-center
  name: prometheus-alert-center
  namespace: monitoring  
  annotations:
    prometheus.io/scrape: 'true'
    prometheus.io/port: '8080'  
spec:
  ports:
  - name: http
    port: 8080
    targetPort: http
      nodePort: 31080
  selector:
    app: prometheus-alert-center
  type: NodePort

4、k8s主机监控
为了能够采集到主机的运行指标如CPU、内存、从磁盘等信息，我们可以使用Node Exporter

vim node-exporter.yaml

apiVersion: v1
kind: Service
metadata:
  name: node-exporter
  namespace: monitoring
  labels:
    app: node-exporter
  annotations:
    prometheus.io/scrape: 'true'
spec:
  selector:
    app: node-exporter
  ports:
  - name: node-exporter
    port: 9100
    protocol: TCP
    targetPort: 9100
  clusterIP: None
 
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: monitoring
  labels:
    app: node-exporter
spec:
  selector:
    matchLabels:
      app: node-exporter
  template:
    metadata:
      name: node-exporter
      labels:
        app: node-exporter
    spec:
      containers:
      - name: node-exporter
        image: harbor.test.cn/devops/node-exporter:latest
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 9100
          hostPort: 9100
      imagePullSecrets:
        - name: harborsecret
      hostNetwork: true
      hostPID: true
      tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule

访问：https://grafana.test.cn/，如下示例图

5、K8S 集群监控
编辑prometheus.yaml(如上文)，之后在grafana-Plugin启用kubernetes，配置Data Source之后即可使用



6、平台服务监控
6.1服务清单

6.2效果图示例：