1.docker和docker-compose請自行下載安裝
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主機需要部署以上容器，其他被監控主機只需要部署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主機地址 - job_name: 'node' static_configs: - targets: ['172.16.48.51:9100','172.16.49.14:9100','172.16.49.43:9100'] #監控node-exporter地址
4.docker-compose啟動
./docker-compose -f docker-compose-prometheus.yml up -d # 掛載目錄給權限，不然會啟動失敗
5.訪問主機的9090端口可以查到Prometheus監控到的數據，訪問3000端口是grafana的界面，
賬密admin/admin
6.配置監控，點擊齒輪，選擇Data Sources
7.點擊Add data source
8.填寫prometheus地址 ip+端口或者主機名+端口（需要配置hosts）
9.點擊save&test
10.點擊+號，選擇import
11.輸入模板號9276，點擊load
11.導入模板完成
