文章目录
- 第一步 下载依赖
- 第二步 选择一个有权限的文件夹
- 新建配置文件prometheus.yml
- docker中运行命令存储数据
- 启动prometheus
- 第三步 启动grafana
第一步 下载依赖
docker pull grafana/grafana:latest
docker pull prom/prometheus:latest
第二步 选择一个有权限的文件夹
例如/home/urname
新建配置文件prometheus.yml
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.
alerting:alertmanagers:- static_configs:- targets:
rule_files:
scrape_configs:- job_name: 'prometheus'static_configs:- targets: ['localhost:9090'] # 监控prometheus自己- job_name: 'agent-node'static_configs:- targets: ['localhost:9100']- job_name: 'target-service-1' # 目标服务scrape_interval: 5smetrics_path: '/actuator/prometheus'static_configs:- targets: ['xx.xx.xx.xx:19999']- job_name: 'target-service-2' # 多个目标服务scrape_interval: 5smetrics_path: '/actuator/prometheus'static_configs:- targets: ['yy.yy.yy.yy:99991']
docker中运行命令存储数据
docker volume create prometheus-data
启动prometheus
docker run \-p 9090:9090 \-v /home/urname/prometheus.yml:/etc/prometheus/prometheus.yml \-v prometheus-data:/prometheus \prom/prometheus
第三步 启动grafana
docker run --restart=unless-stopped -d --name=grafana -p 3000:3000 grafana/grafana
