使用 Grafana和Prometheus 对程序实现监控

• 首先搭建Grafana和Prometheus环境。 （这里为了方便使用docker 进行部署）
  • 启动node-exporter

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

    http://192.168.3.10:9100/metrics 查看服务是否起来

    

  • 启动Prometheus

    •  新建目录prometheus，编辑配置文件prometheus.yml

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

      global:
        scrape_interval:     60s
        evaluation_interval: 60s
       
      scrape_configs:
        - job_name: prometheus
          static_configs:
            - targets: ['localhost:9090']
              labels:
                instance: prometheus
       
        - job_name: linux
          static_configs:
            - targets: ['192.168.3.10:9100']
              labels:
                instance: localhost

    • 上面的targets 是你部署的node-exporter 节点  需要新增监控则修改yml文件进行添加即可
    • 使用docker 启动 Prometheus

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

    • 　　惯例查看是否起来http://192.168.3.10:9090/graph

      
  • 启动grafana

    #新建空文件夹grafana-storage，用来存储数据
    mkdir /opt/grafana-storage
    
    #设置权限 （一般设置读写权限即可）
    chmod 777 -R /opt/grafana-storage
    
    #启动grafana
    docker run -d 
      -p 3000:3000 
      --name=grafana 
      -v /opt/grafana-storage:/var/lib/grafana 
      grafana/grafana

    • 　　访问 http://192.168.3.10:3000/ 查看服务是否起来。
    • 　　第一次启动 账号密码都是admin 
• 具体配置grafana 参考 https://www.cnblogs.com/wx170119/p/12418835.html
使用go（client_golang） 对站点内存进行监控
• 　　首先编写监控代码

  package main
  
  import (
      "log"
      "net/http"
      "os"
      "time"
  
      "github.com/prometheus/client_golang/prometheus"
      "github.com/prometheus/client_golang/prometheus/promhttp"
      "github.com/shirou/gopsutil/mem"
  )
  
  func main() {
      //初始化日志服务
      logger := log.New(os.Stdout, "[Memory]", log.Lshortfile|log.Ldate|log.Ltime)
  
      //初始一个http handler
      http.Handle("/metrics", promhttp.Handler())
  
      //初始化一个容器
      diskPercent := prometheus.NewGaugeVec(prometheus.GaugeOpts{
          Name: "memeory_percent",
          Help: "memeory use percent",
      },
          []string{"percent"},
      )
      prometheus.MustRegister(diskPercent)
  
      // 启动web服务，监听8080端口
      go func() {
          logger.Println("ListenAndServe at:0.0.0.0:8080")
          err := http.ListenAndServe("192.168.3.87:8080", nil)
  
          if err != nil {
              logger.Fatal("ListenAndServe: ", err)
          }
      }()
  
      //收集内存使用的百分比
      for {
          logger.Println("start collect memory used percent!")
          v, err := mem.VirtualMemory()
          if err != nil {
              logger.Println("get memeory use percent error:%s", err)
          }
          usedPercent := v.UsedPercent
          logger.Println("get memeory use percent:", usedPercent)
          diskPercent.WithLabelValues("usedMemory").Set(usedPercent)
          time.Sleep(time.Second * 2)
      }
  }

  使用go build . 命令进行打包然后把应用程序跑起来。（这里的环境是3.87）

• 进入到3.10 Prometheus部署环境  修改yml文件。添加名为 gotest 的 job

  global:
    scrape_interval:     60s
    evaluation_interval: 60s
  
  scrape_configs:
    - job_name: prometheus
      static_configs:
        - targets: ['localhost:9090']
          labels:
            instance: prometheus
  
    - job_name: linux
      static_configs:
        - targets: ['192.168.3.10:9100']
          labels:
            instance: localhost
  
    - job_name: gotest
      static_configs:
        - targets: ['192.168.3.87:8080']
          labels:
            instance: windows test

• 重启Prometheus   使用docker restart 【name】
• 访问http://192.168.3.10:9090/targets进行查看
• 使用grafana配置刚才新增的监控到dashbord
• http://192.168.3.10:3000/datasources 
• 添加data source  数据源后save
• 
• 添加dashboard