prometheus监控传统环境监控（七）ElasticSearch监控

组件名称：elasticsearch-exporter

github地址：GitHub - prometheus-community/elasticsearch_exporter: Elasticsearch stats exporter for Prometheus

监控目标：192.168.0.100、192.168.0.101、192.168.0.102集群

组件部署位置：192.168.0.39

docker-cpmpose启动

cat /data/docker-compose_dir/elastic/docker-compose.yml

version: '3'
services:
  sticsearch_exporter-192.168.0.100:
    image: quay.io/prometheuscommunity/elasticsearch-exporter:latest
    command:
     - '--es.uri=http://192.168.0.100:9200'
    restart: always
    ports:
    - "0.0.0.0:9600:9114"

  sticsearch_exporter-192.168.0.101:
    image: quay.io/prometheuscommunity/elasticsearch-exporter:latest
    command:
     - '--es.uri=http://192.168.0.101:9200'
    restart: always
    ports:
    - "0.0.0.0:9601:9114"

  sticsearch_exporter-192.168.0.102:
    image: quay.io/prometheuscommunity/elasticsearch-exporter:latest
    command:
     - '--es.uri=http://192.168.0.102:9200'
    restart: always
    ports:
    - "0.0.0.0:9602:9114"

启动

docker-compose up -d

prometheus集成组件

# elasticsearch_exporter
  - job_name: elastic-192.168.0.100
    scrape_interval: 15s
    static_configs:
    - targets: ['192.168.0.39:9600']

  - job_name: elastic-192.168.0.101
    scrape_interval: 15s
    static_configs:
    - targets: ['192.168.0.39:9601']

  - job_name: elastic-192.168.0.102
    scrape_interval: 15s
    static_configs:
    - targets: ['192.168.0.39:9602']

告警配置

# cat elastic-rules.yaml

 groups:
    - name: ElasticSearch-监控告警
      rules:
      - alert: 集群节点数减少告警
        expr: elasticsearch_cluster_health_number_of_nodes < 4
        for: 5m
        labels:
          severity: warning
          status: 非常严重
        annotations:
          summary: "ES集群节点数减少:{{$.Labels.job}}"
          description: "ES集群节点数减少:{{$.Labels.job}},(当前:{{$value}})"
     
      - alert: jvm内存使用率告警
        expr: elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"} > 0.9
        for: 5m
        labels:
          severity: warning
          status: 非常严重
        annotations:
          summary: "jvm内存使用率过高:{{$.Labels.job}}"
          description: "jvm内存使用率过高:{{$.Labels.job}} => 0.9,(当前:{{$value}})"

重启prometheus

docker restart prometheus

grafana图形：

2322

具体需要微调一下