使用docker-compose搭建Prometheus+Gra

概念与设计总览

• Prometheus 是一个开源的服务监控系统和时间序列数据库
• Grafana是开源的可视化和分析软件

一、环境说明

• Linux Centos7
• docker-compose

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二、安装node_exporter

1. node_exporter用于采集系统信息，github地址

2. 前往https://github.com/prometheus/node_exporter/releases列表下载对应系统的最新文件

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3. 解压

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4. 启动：./node_exporter &

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5. 打开页面：http://localhost:9100

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三、docker-compose安装Prometheus

1. 编写docker-compose.yml

   version: '3.3'
   services:
     prometheus:
       image: prom/prometheus:latest
       container_name: prometheus
       restart: always
       privileged: true
       user: root
       ports:
         - 9090:9090
       volumes:
         #将刚刚准备好的defaults.ini直接映射到/usr/share/grafana/conf/defaults.ini路径
         - ./prometheus.yml:/etc/prometheus/prometheus.yml
   

2. 新建prometheus.yml并配置node exporter监控数据

   # my global config
   global:
     scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
     evaluation_interval: 15s # 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'
   
       # metrics_path defaults to '/metrics'
       # scheme defaults to 'http'.
   
       static_configs:
       - targets: ['docker.for.mac.host.internal:9090'] # 服务器上使用内网ip
     # 采集node exporter监控数据
     - job_name: 'node'
       static_configs:
       - targets: ['docker.for.mac.localhost:9100']  # 服务器上使用内网ip
   
   

3. 启动docker

   启动容器：docker-compose up -d

   查看容器：docker-compose ps

   删除容器：docker-compose rm

4. 验证并查看node_exporter状态

   • prometheus浏览器中输入：http://localhost:9090

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四、docker-compose安装Grafana

1. 编写docker-compose.yml

   version: '3.3'
   services:
     grafana:
       image: grafana/grafana:latest
       container_name: grafana
       restart: always
       privileged: true
       user: root
       ports:
         - 3000:3000
       environment:
         - GF_INSTALL_PLUGINS=grafana-clock-panel,grafana-simple-json-datasource
       volumes:
         #将刚刚准备好的defaults.ini直接映射到/usr/share/grafana/conf/defaults.ini路径
         - ./config/defaults.ini:/usr/share/grafana/conf/defaults.ini
         #data目录，如果使用了默认的sqlite3数据库，则文件会存在这边
         - ./data/grafana:/var/lib/grafana
         #log目录，后期会写入log文件
         - ./log:/var/log/grafana
     # 添加插件 *注意修改defaults.ini文件：server_url = http://renderer:8081/render
   #  renderer:
   #    image: grafana/grafana-image-renderer
   #    restart: always
   #    ports:
   #      - 8081:8081
   #    container_name: renderer
   #    environment:
   #      - GF_RENDERER_PLUGIN_TZ=Asia/Shanghai
   #      - GF_RENDERER_PLUGIN_IGNORE_HTTPS_ERRORS=true
   

2. 启动docker

   启动容器：docker-compose up -d

   查看容器：docker-compose ps

   删除容器：docker-compose rm

3. 验证，默认用户名密码为admin/admin

   • grafana浏览器中输入：http://localhost:3000

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4. 新增prometheus数据源并配置服务地址

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5. 寻找别人配置好的模板，其他模板查看https://grafana.com/grafana/dashboards

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6. 导入模板

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7. 查看

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