Grafana 搭建系统监控面板

Grafana 是一个开源的数据可视化和监控平台

启动容器

我们需要拉取相关的三个镜像并启动

node-exporter

docker-compose.yaml 配置如下：

version: "3.3"
services:
  node-exporter:
    ports:
      - 9100:9100
    container_name: node_exporter
    image: prom/node-exporter
networks: {}

prometheus

docker-compose.yaml 配置如下，把 /path/to 换成你自己的配置路径

version: "3.3"
services:
  prometheus:
    container_name: prometheus
    ports:
      - 9090:9090
    volumes:
      - /path/to/prometheus.yml:/etc/prometheus/prometheus.yml
      - /path/to/prometheus-data:/prometheus
    image: prom/prometheus
networks: {}

其中 prometheus.yml 内容我们设置如下。把相关的 IP 和端口换成我们上面设置的，我这里是 9100 和 9090

# my global config
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).

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "second_rules.yml"

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['192.168.1.8:9090']  #mertics接口地址，相当于exporter地址
        labels:
          instance: prometheus
  - job_name: nodeExporter #任务名称
    static_configs:
      - targets: ['192.168.1.8:9100']

grafana

docker-compose.yaml 配置如下，把 /path/to 换成你自己的配置路径

version: "3.3"
services:
  grafana:
    ports:
      - 6500:3000
    container_name: grafana
    volumes:
      - /path/to/grafana:/var/lib/grafana
    image: grafana/grafana
networks: {}

设置 prometheus

在 Connection > Data sources > Add new data source 中，直接选择 prometheus

填入 Connection 的 URL 为 prometheus 启动的地址，我这里是 http://192.168.1.8:9090

然后点保存并测试。显示正确后再进行下一步

配置 Grafana 面板

在 Dashboard > New > Import 中，填入 8919 这个 ID 并且 load

选择我们刚刚设置的 prometheus

点击导入后，就可以看到我们的系统数据了：

你可以在官方的 dashboard 模版市场中找到更多模版