Prometheus和AlertManager

如下yml檔案分別安裝了Prometheus和AlertManager，如下所示：

apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
    deployment.kubernetes.io/revision: '18'
  generation: 18
  labels:
    app: prometheus
  name: prometheus
  namespace: monitoring

spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      labels:
        app: prometheus
    spec:
      containers:
        - image: 'prom/prometheus:latest'
          imagePullPolicy: Always
          name: prometheus-0
          ports:
            - containerPort: 9090
              name: p-port
              protocol: TCP
          resources:
            requests:
              cpu: 250m
              memory: 512Mi
          terminationMessagePath: /dev/termination-log
          terminationMessagePolicy: File
          volumeMounts:
            - mountPath: /etc/prometheus
              name: config-volume
        - image: 'prom/alertmanager:latest'
          imagePullPolicy: Always
          name: prometheus-1
          ports:
            - containerPort: 9093
              name: a-port
              protocol: TCP
          resources: {}
          terminationMessagePath: /dev/termination-log
          terminationMessagePolicy: File
          volumeMounts:
            - mountPath: /etc/alertmanager
              name: alertcfg
      dnsPolicy: ClusterFirst
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30
      volumes:
        - name: data
          persistentVolumeClaim:
            claimName: monitoring-nfs-pvc
        - configMap:
            defaultMode: 420
            name: prometheus-config
          name: config-volume
        - configMap:
            defaultMode: 420
            name: alert-config
          name: alertcfg

其中指定了兩個映象分別是prom/prometheus:latest和prom/alertmanager:latest，以及指定對外的埠；因為啟動兩個容器需要用到配置檔案prometheus.yml和alertmanager.yml，通過在volumes中配置了prometheus-config和alert-config兩個配置字典：

prometheus.yml配置如下：

global:
  scrape_interval:     15s
  evaluation_interval: 15s

rule_files:
  - 'rabbitmq_warn.yml'

alerting:
  alertmanagers:
    - static_configs:
      - targets: ['127.0.0.1:9093']

scrape_configs:

- job_name: 'rabbit-state-metrics'
  static_configs:
    - targets: ['ip:port']

其中配置了alertmanager，以及規則檔案rabbitmq_warn.yml，還有配置了需要收集監控資訊的exporter，也就是這邊的job_name，可以配置多個；

• 檢視Exporter

啟動prometheus之後可以在prometheus web ui中檢視相關exporter以及告警規則：

可以在status/targets目錄下檢視到當前的所有exporter，如果狀態都為up表示，表示prometheus已經可以接受監控資料了，比如我這裡配置的接收rabbitmq相關監控資料；

• 檢視Alerts

配置的相關告警也可以在prometheus web ui中檢視：

如果告警規則成立會顯示紅色，當然同時也會發送訊息給alertmanager；

apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
    deployment.kubernetes.io/revision: '1'
  generation: 1
  labels:
    app: grafana
  name: grafana
  namespace: monitoring
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      containers:
        - image: grafana/grafana
          imagePullPolicy: Always
          name: grafana
          ports:
            - containerPort: 3000
              protocol: TCP
          resources: {}
      dnsPolicy: ClusterFirst
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30

apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
    deployment.kubernetes.io/revision: '3'
  labels:
    k8s-app: rabbitmq-exporter
  name: rabbitmq-exporter
  namespace: monitoring
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 2
  selector:
    matchLabels:
      k8s-app: rabbitmq-exporter
  template:
    metadata:
      labels:
        k8s-app: rabbitmq-exporter
    spec:
      containers:
        - env:
            - name: PUBLISH_PORT
              value: '9098'
            - name: RABBIT_CAPABILITIES
              value: 'bert,no_sort'
            - name: RABBIT_USER
              value: xxxx
            - name: RABBIT_PASSWORD
              value: xxxx
            - name: RABBIT_URL
              value: 'http://ip:15672'
          image: kbudde/rabbitmq-exporter
          imagePullPolicy: IfNotPresent
          name: rabbitmq-exporter
          ports:
            - containerPort: 9098
              protocol: TCP

<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

# HELP tomcat_sessions_created_sessions_total 
# TYPE tomcat_sessions_created_sessions_total counter
tomcat_sessions_created_sessions_total{application="springboot-actuator-prometheus-test",} 1782.0
# HELP tomcat_sessions_active_current_sessions 
# TYPE tomcat_sessions_active_current_sessions gauge
tomcat_sessions_active_current_sessions{application="springboot-actuator-prometheus-test",} 365.0
# HELP jvm_threads_daemon_threads The current number of live daemon threads
# TYPE jvm_threads_daemon_threads gauge
jvm_threads_daemon_threads{application="springboot-actuator-prometheus-test",} 16.0
# HELP process_cpu_usage The "recent cpu usage" for the Java Virtual Machine process
# TYPE process_cpu_usage gauge
process_cpu_usage{application="springboot-actuator-prometheus-test",} 0.0102880658436214
# HELP jvm_gc_memory_allocated_bytes_total Incremented for an increase in the size of the young generation memory pool after one GC to before the next
# TYPE jvm_gc_memory_allocated_bytes_total counter
jvm_gc_memory_allocated_bytes_total{application="springboot-actuator-prometheus-test",} 9.13812704E8
# HELP jvm_buffer_count_buffers An estimate of the number of buffers in the pool
# TYPE jvm_buffer_count_buffers gauge
jvm_buffer_count_buffers{application="springboot-actuator-prometheus-test",id="mapped",} 0.0
jvm_buffer_count_buffers{application="springboot-actuator-prometheus-test",id="direct",} 10.0
...

- job_name: 'springboot-actuator-prometheus-test'
  metrics_path: '/actuator/prometheus'
  scrape_interval: 5s
  basic_auth:
    username: 'actuator'
    password: 'actuator'
  static_configs:
    - targets: ['ip:8080']

curl -X POSThttp:``//ip:9090/-/reload