node exporter 系统指标

[TOC] > [github node exporter](https://github.com/prometheus/node_exporter) > [prometheus node exporter 安装教程](https://prometheus.io/docs/guides/node-exporter/) ## 收集服务器指标 - node_exporter 都是直接运行在要收集指标的服务器上的 - 官方不推荐用 Docker 来运行 node_exporter ### 安装 node_exporter ``` wget https://github.com/prometheus/node_exporter/releases/download/v0.16.0/node_exporter-0.16.0.linux-amd64.tar.gz tar xvfz node_exporter-0.16.0.linux-amd64.tar.gz cd node_exporter-0.16.0.linux-amd64 ./node_exporter ``` ### 查看 启动后查看 ``` curl http://localhost:9100/metrics ``` ### 添加到 prometheus 修改 prometheus.yaml ``` scrape_configs: - job_name: 'prometheus' static_configs: - targets: ['192.168.0.107:9090'] - job_name: 'server' static_configs: - targets: ['192.168.0.107:9100'] ``` ### 重启服务 docker ``` docker restart prometheus_id ``` 原生安装,直接发送`HUP`型号 ``` killall -HUP prometheus ``` ### 验证服务是否开启 查看 prometheus web `http://192.168.0.229:9090/targets`查看是否添加 ### 添加到 grafana 1. 查看 https://grafana.com/grafana/dashboards?search=node%20exporter 搜索 grafana dashboards,并复制id 2. 进入 grafana, dashboard->manage->import-> 输入id 常用的 dashboards:[Node Exporter Server Metrics(id:405)](https://grafana.com/dashboards/405)或者[Node Exporter Full(id:1860)](https://grafana.com/dashboards/1860)