一. 使用docker-compose部署

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version: '2'
networks:
  monitor:
    driver: bridge

services:
  prometheus:
    image: prom/prometheus
    container_name: prometheus
    hostname: prometheus
    restart: always
    volumes:
		# 将你的prometheus.yml文件放在当前文件同级下，或自定义
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
      #- /home/prometheus/node_down.yml:/etc/prometheus/node_down.yml
    ports:
      - "9090:9090"
    networks:
      monitor:
        ipv4_address: 172.18.0.3

  grafana:
    image: grafana/grafana
    container_name: grafana
    hostname: grafana
    restart: always
	volumes:
	# 创建 etc目录，data目录存储grafana的数据
	- ./etc:/etc/grafana
	- ./data:/var/lib/grafana
    ports:
      - "3000:3000"
    networks:
      monitor:
        ipv4_address: 172.18.0.4

  node-exporter:
    image: prom/node-exporter
    container_name: node-exporter
    hostname: node-exporter
    restart: always
    ports:
      - "9100:9100"
    networks:
      monitor:
        ipv4_address: 172.18.0.2

注意：为了避免每次docker-compose 启动之后 ip会发生变化，我这里配置了固定IP，请根据个人实际情况配置，或参阅docker相关文档

使用命令docker-compose up启动容器

二. 项目配置

因为对 prometheus的不了解，我直接使用hyperf默认配置

引入组件 composer require hyperf/metric
发布默认配置文件 php bin/hyperf.php vendor:publish hyperf/metric
在config/autoload/dependencies.php中添加对应的Redis存储

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return [
    \Prometheus\Storage\Adapter::class => \Hyperf\Metric\Adapter\Prometheus\RedisStorageFactory::class,
];

在上面的第一篇文章中，老哥说使用swoole_table更高效，我还不知道如何使用，有兴趣的老哥可以自己研究一下。

增加中间件在config/autoload/middlewares.php文件中增加对应的中间件

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return [
   'http' => [
       \Hyperf\Metric\Middleware\MetricMiddleware::class,
   ],
];

添加 metrics路由

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Router::get('/metrics', function(){
    $registry = Hyperf\Utils\ApplicationContext::getContainer()->get(Prometheus\CollectorRegistry::class);
    $renderer = new Prometheus\RenderTextFormat();
    return $renderer->render($registry->getMetricFamilySamples());
});

这样对项目的配置就完成了

三. prometheus的配置

在 prometheus.yml文件中增加对应的配置

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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: ['localhost:9090']
	
  - job_name: 'node'

	 # 注意这里的IP需要填写 node-exporter 容器的ip  
    static_configs:
    - targets: ['172.18.0.2:9100']


  - job_name: 'skeleton'
    # 这里填写的是宿主机的ip
    static_configs:
    - targets: ['10.0.75.1:9502']