Prometheus+Grafana快速部署

使用docker-compose部署prometheus+grafana+note_exporter

这里的镜像是我自己的镜像仓库，标签不是真实的，latest

docker pull uhub.service.ucloud.cn/jiankong/grafana:latest

docker pull uhub.service.ucloud.cn/jiankong/prometheus:latest

docker pull uhub.service.ucloud.cn/jiankong/node-exporter:latest

附：

github开源项目 prometheus+node_exporter+alertmanager

docker run –name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus

docker run –name alertmanager -d -p 127.0.0.1:9093:9093 quay.io/prometheus/alertmanager

docker run -d \
–net=”host” \
–pid=”host” \
-v “/:/host:ro,rslave” \
quay.io/prometheus/node-exporter:latest \
–path.rootfs=/host

docker run -d -p 3000:3000 –name=grafana grafana/grafana-enterprise

#docker-compose.yml
version: '3.8'

services:
  prometheus:
    image: uhub.service.ucloud.cn/jiankong/prometheus:latest
    container_name: prometheus
    volumes:
      - ./config/prometheus.yml:/etc/prometheus/prometheus.yml
    ports:
      - "9090:9090"
    restart: unless-stopped

  node-exporter:
    image: uhub.service.ucloud.cn/jiankong/node-exporter:latest
    container_name: node-exporter
    ports:
      - "9100:9100"
    restart: unless-stopped

  grafana:
    image: uhub.service.ucloud.cn/jiankong/grafana:latest
    container_name: grafana
    ports:
      - "3000:3000"
    restart: unless-stopped
    volumes:
      - grafana-storage:/var/lib/grafana

volumes:
  grafana-storage:

/root/jiankong/config/prometheus.yml

./config/prometheus.yml

#prometheus.yml
global:
  scrape_interval: 15s
scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']

  - job_name: 'node-exporter'
    static_configs:
      - targets: ['node-exporter:9100']

在docker-compose.yml存在的路径下运行docker-compose up -d

访问IP:端口

进入grafana: ip:3000

初始账号是admin:admin

然后会提示修改密码

选择connections->date sources 添加普罗米修斯

设置

Name prometheus

->

Connection

->

Interval behaviour

–Scrape interval

接下来需要使用dashboard仪表板，这里可以蹭蹭别人的，也可以自行去自定义一个

Grafana dashboards | Grafana Labs

选择一款后，去获取他的ID

去导入这个仪表板

自行修改名字->选择 date source

->import

效果展示：