摘自：https://juejin.cn/post/7097166804044218405

安装运行Prometheus(docker版)

Grafana是一个开源的功能丰富的数据可视化平台，通常用于时序数据的可视化。它内置了多种数据源的支持

下载镜像包

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docker pull prom/node-exporter
docker pull prom/prometheus
docker pull grafana/grafana

启动node-exporter

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docker run -d -p 9100:9100 \
  -v "/proc:/host/proc:ro" \
  -v "/sys:/host/sys:ro" \
  -v "/:/rootfs:ro" \
  prom/node-exporter

访问url：

http://127.0.0.1:9100/metrics

效果如下:

这些都是收集到的数据，有了它就可以做数据展示了。

启动prometheus

新建目录 prometheus，编辑配置文件prometheus.yml

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mkdir /opt/prometheus
cd /opt/prometheus/
vim prometheus.yml

内容如下:

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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.
  # scrape_timeout is set to the global default (10s).
  # Attach these extra labels to all timeseries collected by this Prometheus instance.
  external_labels:
    monitor: 'codelab-monitor'
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
  - job_name: "prometheus"
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.
    static_configs:
      - targets: ["192.168.3.153:8080"]
        labels:
          instance: prometheus
  - job_name: linux
    static_configs:
      - targets: ['127.0.0.1:9100']
        labels:
          instance: localhost

启动prometheus

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docker run  -d \
  -p 9090:9090 \
  -v /opt/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml  \
  prom/prometheus

访问url :

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127.0.0.1:9090/graph

启动grafana

新建空文件夹grafana-storage，用来存储数据

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mkdir /opt/grafana-storage

设置权限

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chmod 777 -R /opt/grafana-storage

因为grafana用户会在这个目录写入文件，直接设置777，比较简单粗暴！

启动grafana

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docker run -d \
  -p 3000:3000 \
  --name=grafana \
  -v /opt/grafana-storage:/var/lib/grafana \
  grafana/grafana

访问url:

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127.0.0.1:3000

默认会先跳转到登录页面，默认的用户名和密码都是admin

登录之后，它会要求你重置密码。你还可以再输次admin密码！

密码设置完成之后，就会跳转到首页

提示，有个地方在创建data source时，ip地址要填写本机Ip地址，而不是127.0.0.1