docker-compose编排搭建prometheus+grafana+alertmanager+node-exporter+snmp-exporter

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Docker-compose

目前集成很多Exporter，加上grafana的image-renderer，后面又加上ping-exporter，很多东西加起来发现操作一次docker 很烦啊。

科普之后感觉自己对k8s还有有些发怵的。从简单的一个入手吧，选择了docker-compose。

Docker-Compose项目是Docker官方的开源项目，负责实现对Docker容器集群的快速编排。

安装

安装方式看了一下，我选择直接下载bin文件方式：

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curl -L https://get.daocloud.io/docker/compose/releases/download/1.12.0/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose

chmod +x /usr/local/bin/docker-compose```

通过 docker-compose version 看到版本信息算是安装完成。

编写docker-compose.yml

  1. 目录结构：
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├── docker-compose.yaml
├── prometheus
│   ├── rules 
│   │   └── *(rules).yaml/json
│   ├── nodes
│   │   └── *(nodes).yaml
│   ├── data
│   │   └── ... # 挂载prom的data数据
│   └── prometheus.yaml
├── alertmanager
│   ├── templates
│   │   └── *.tmpl
│   └── alertmanager.yaml
├── grafana
│   ├── data
│   │   ├── plugins #插件目录
│   │   ├── png     
│   │   └── grafana.db
│   └── grafana.ini
├── snmp(snmp_exporter)
│   └── snmp.yml
└── blackbox(balck box-exporter)
    └── blackbox.yml
  1. 根据结构编写
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version: "3.8"

networks:
    monitor:
        driver: bridge

services:
  snmp-exporter:
    image: prom/snmp-exporter:v0.19.0
    container_name: snmp
    restart: always
    expose:
      - 9116
    volumes:
      - "./snmp/snmp.yml:/etc/snmp_exporter/snmp.yml"
    networks:
      - monitor

  node-exporter:
    image: prom/node-exporter:v1.0.1
    container_name: node-exporter
    volumes:
      - /proc:/host/proc:ro
      - /sys:/host/sys:ro
      - /:/rootfs:ro
    command:
      - '--path.procfs=/host/proc'
      - '--path.rootfs=/rootfs'
      - '--path.sysfs=/host/sys'
      - '--collector.filesystem.ignored-mount-points=^/(sys|proc|dev|host|etc)($$|/)'
    restart: unless-stopped
    expose:
      - 9100
    networks:
      - monitor

  blackbox-exporter:
    image: prom/blackbox-exporter:v0.18.0
    expose:
      - 9115
    container_name: blackbox
    restart: unless-stopped
    volumes:
      - "./blackbox/:/config"
    command:
      - "--config.file=/config/blackbox.yml"
    networks:
      - monitor

  cadvisor:
    image: google/cadvisor:v0.33.0
    container_name: cadvisor
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:rw
      - /sys:/sys:ro
      - /var/lib/docker:/var/lib/docker:ro
    restart: unless-stopped
    expose:
      - 8080
    networks:
      - monitor
    depends_on:
      - prometheus

  prometheus:
    image: prom/prometheus:v2.22.1
    container_name: prom
    restart: always
    user: "0"
    ports:
      - "9090:9090"
    volumes:
      - "./prometheus/:/prometheus"
    command: 
      - "--storage.tsdb.retention.time=60d"
      - "--config.file=/prometheus/prometheus.yml"
      - "--web.enable-lifecycle"
    networks:
      - monitor
    depends_on:
      - blackbox-exporter
      - node-exporter
      - snmp-exporter

  alertmanager:
    image: prom/alertmanager:v0.21.0
    restart: always
    container_name: alert
    volumes:
      - ./alertmanager/:/alert      
    command:
      - '--config.file=/alert/alertmanager.yml'
      - '--storage.path=/alert'
    ports:
      - "9093:9093"
    networks:
      - monitor
    depends_on:
      - prometheus

  grafana:
    image: chenwl2016/grafana-chs:0.1.4
    restart: always
    container_name: grafana
    user: "0"
    ports:
      - "3000:3000"
    environment:
      - "GF_SECURITY_ADMIN_PASSWORD=helloGf"
      - "GF_RENDERING_SERVER_URL=http://renderer:8081/render"
      - "GF_RENDERING_CALLBACK_URL=http://grafana:3000/"
      - "GF_LOG_FILTERS=rendering:debug"
    volumes:  
      - ./grafana/:/grafana
      - ./grafana/data/:/var/lib/grafana
    networks:
      - monitor
    depends_on:
      - prometheus
      - renderer

  renderer:
    image: grafana/grafana-image-renderer:latest
    container_name: renderer
    ports:
      - "8081:8081"
    environment:
      - "ENABLE_METRICS=true"
      - "RENDERING_MODE=clustered"
      - "RENDERING_CLUSTERING_MODE=context"
      - "RENDERING_CLUSTERING_MAX_CONCURRENCY=5"
    networks:
      - monitor

​ 当前的配置，主要是文件存储到宿主机上。通过容器挂载卷到容器内部。存储到宿主机目录时prometheus与grafana 会有权限问题。 配置中我是在user: “0”账户下，挂载目录 prometheus/grafana 都是 root:root。如果你不是root 需要根据uid:gid进行对应的配置。

prometheus 目录下的nodes是file_sd的配置文件，结合实际考虑docker-compose 的具体细节。

请我吃辣条吧？！