1.docker和docker-compose请自行下载安装
2.docker-compose.-prometheus.yml文件
1 vim docker-compose-prometheus.yml 2
3 version: "3.7"
4 services: 5 node-exporter: 6 image: prom/node-exporter:latest 7 network_mode: "host"
8 # prots: 9 # - "9100:9100"
10 restart: always 11 prometheus: 12 image: prom/prometheus:latest 13 network_mode: "host"
14 restart: always 15 # prots: 16 # - "9090:9090"
17 volumes: 18 - "./prometheus.yml:/etc/prometheus/prometheus.yml"
19 - "./prometheus_data:/prometheus"
20 grafana: 21 image: grafana/grafana 22 network_mode: "host"
23 # prots: 24 # - "3000:3000"
25 restart: always 26 volumes: 27 - "./grafana_data:/var/lib/grafana"
prometheus主机需要部署以上容器，其他被监控主机只需要部署node-exporter
3.prometheus配置文件
vim prometheus.yml # my global config global: scrape_interval: 5s # Set the scrape interval to every 15 seconds. Default is every 1 minute. evaluation_interval: 5s # Evaluate rules every 15 seconds. The default is every 1 minute. # scrape_timeout is set to the global default (10s). # Alertmanager configuration alerting: alertmanagers: - static_configs: - targets: # - alertmanager:9093 # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files: # - "first_rules.yml" # - "second_rules.yml" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself.
scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: 'prometheus' static_configs: - targets: ['172.16.48.51:9090'] #prometheus主机地址 - job_name: 'node' static_configs: - targets: ['172.16.48.51:9100','172.16.49.14:9100','172.16.49.43:9100'] #监控node-exporter地址
4.docker-compose启动
./docker-compose -f docker-compose-prometheus.yml up -d # 挂载目录给权限，不然会启动失败
5.访问主机的9090端口可以查到Prometheus监控到的数据，访问3000端口是grafana的界面，
账密admin/admin
6.配置监控，点击齿轮，选择Data Sources
7.点击Add data source
8.填写prometheus地址 ip+端口或者主机名+端口（需要配置hosts）
9.点击save&test
10.点击+号，选择import
11.输入模板号9276，点击load
11.导入模板完成
