基于docker-compose部署Prometheus + Grafana监控系统

Posted 2020-12-20

系统：CentOS Linux release 8.1.1911 (Core)

docker: Docker version 19.03.8, build afacb8b

docker-compose: 1.23

1. 安装docker

安装以下依赖包

yum install -y yum-utils device-mapper-persistent-data lvm2

添加docker的yum源

yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

配置镜像加速器

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-‘EOF‘
{
  "registry-mirrors": ["https://zggyaen3.mirror.aliyuncs.com"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker

更新yum源缓存， 安装docker-ce

$ sudo yum makecache fast
$ sudo yum install docker-ce

普通用户需要加入docker组

$ sudo usermod -a -G docker ${USER}

修改docker存储位置(可以不改)

$ sudo systemctl stop docker
$ sudo mv /var/lib/docker /home/lan/docker
$ sudo ln -s /home/lan/docker /var/lib/docker
$ sudo systemctl start docker
$ sudo systemctl enable docker

2. docker-compose安装

$ sudo curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
$ sudo chmod +x /usr/local/bin/docker-compose

如果下载很慢可手动下载，再上传至系统

下载路径: https://github.com/docker/compose/releases/ 可以选择对应的版本下载

3. 部署Prometheus, node-exporter, Grafana

编写docker-compose文件

version: "3"
services:
  prom:
    image: quay.io/prometheus/prometheus:latest
    volumes:
     - ./monitor/prometheus.yml:/etc/prometheus/prometheus.yml
    command: "--config.file=/etc/prometheus/prometheus.yml --storage.tsdb.path=/prometheus"
    ports:
     - 23333:9090 # prometheus的访问地址被我改成了23333
    depends_on:
     - exporter
  exporter:
    image: prom/node-exporter:latest
    ports:
     - "9100:9100"
#    network_mode: host
  grafana:
    image: grafana/grafana
    ports:
     - "3000:3000"
    environment:
    - “GF_SECURITY_ADMIN_PASSWORD=Gz2020@”
    - “GF_INSTALL_PLUGINS=alexanderzobnin-zabbix-app”
    restart: "always"
    volumes:
    - “grafana-etc:/etc/grafana/”
    - $GRAFANA_DIR/data:/var/lib/grafana:rw
    - $GRAFANA_DIR$GRAFANA_plugins:/var/lib/grafana/plugins:rw
    - /etc/localtime:/etc/localtime
    depends_on:
      - prom

4. 访问Prometheus

http://ip:23333

修改Prometheus配置文件，增加node-exporter监控

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: [‘localhost:9090‘]
  - job_name: ‘server‘
    static_configs:
    - targets: [‘ip:9100‘]

验证Prometheus是否收到数据

ip:9100/metrics

http://ip:23333/targets

5. Grafana配置

访问 http://ip:3000 初始账号：admin 初始密码: admin

1. 点击设置 --> Data Sources --> Add data source --> Prometheus --> URL(填写 http://ip:23333)
2. 添加图形插件：
访问地址https://grafana.com/grafana/dashboards/8919 --> Download JSON --> 回到自己的grafana主页面 --> 左上角的home --> Import dashboard --> Upload.json file --> 该填的都填了，可以点Import就行