Docker安装prometheus
拉取镜像
docker pull prom/prometheus
配置文件prometheus.yml
在/data/prometheus/建立prometheus.yml配置文件。（/data/prometheus/可根据自己需要调整）
global:scrape_interval: 15s # By default, scrape targets every 15 seconds.# Attach these labels to any time series or alerts when communicating with# external systems (federation, remote storage, Alertmanager).external_labels:monitor: 'codelab-monitor'# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.- job_name: 'prometheus'# Override the global default and scrape targets from this job every 5 seconds.scrape_interval: 5sstatic_configs:- targets: ['localhost:9090']启动服务
（/data/prometheus 改为你的目录）
docker run -d --name prometheus --restart always -p 9090:9090 -v /data/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus
启动时加上--web.enable-lifecycle启用远程热加载配置文件
调用指令是curl -X POST http://localhost:9090/-/reload
访问
http://IP:9090/query
IP改为你服务器的IP地址
Docker安装Grafana
拉取镜像
docker pull grafana/grafana-oss
启动
docker run -d --name=grafana --restart always -p 3000:3000 grafana/grafana-oss
访问
http://IP:3000
默认用户名密码 admin admin 登录提示修改密码
配置DataSource
注意添加Prometheus时可以顺便添加上Dashboards
点击import
Docker安装node-exporter
安装
docker pull prom/node-exporter
docker run -d --name node_exporter --restart always -p 9100:9100 prom/node-exporter
下面不知道干嘛的，暂时记录
docker run -d --name node_exporter --restart always -p 9100:9100 -v "/proc:/host/proc:ro" -v "/sys:/host/sys:ro" -v "/:/rootfs:ro" prom/node-exporter
验证
要验证node_exporter是否成功运行，可以访问主机的9100端口，通常可以通过以下URL在浏览器中查看指标数据（假设你的Docker宿主机IP为HOST_IP）：
http://HOST_IP:9100 或者 http://HOST_IP:9100/metrics
prometheus配置
在prometheus.yml中再增加一个job
- job_name: 'node_exporter'static_configs:- targets: ['192.168.60.33:9100']Grafana配置Node-exporter的Dashboards
dashboars地址： Grafana dashboards | Grafana Labs
找到node exporter full
选择 Copy ID to clipboard
登录grafana
填写ID，然后点击[Load]
注意选择一个配置的promethus数据源
