metrics性能监控

使用方法：
import "github.com/daheige/thinkgo/monitor"

1、在init()方法中添加如下代码
//注册监控指标

//web程序的性能监控，如果是job/rpc服务就不需要这两行
prometheus.MustRegister(WebRequestTotal)
prometheus.MustRegister(WebRequestDuration)

	
prometheus.MustRegister(monitor.CpuTemp)
prometheus.MustRegister(monitor.HdFailures)

2、在pprof中添加如下路由：
//性能报告监控和健康检测
//性能监控的端口只能在内网访问
var PProfPort = 2338
go func() {
	//defer logger.Recover() //参考thinkgo/logger包

	PProfAddress := fmt.Sprintf("0.0.0.0:%d", PProfPort)
	log.Println("server pprof run on: ", PProfAddress)

	httpMux := http.NewServeMux() //创建一个http ServeMux实例
	httpMux.HandleFunc("/debug/pprof/", pprof.Index)
	httpMux.HandleFunc("/debug/pprof/cmdline", pprof.Cmdline)
	httpMux.HandleFunc("/debug/pprof/profile", pprof.Profile)
	httpMux.HandleFunc("/debug/pprof/symbol", pprof.Symbol)
	httpMux.HandleFunc("/debug/pprof/trace", pprof.Trace)
	httpMux.HandleFunc("/check", routes.HealthCheck)

	//metrics监控
	httpMux.Handle("/metrics", promhttp.Handler())

	if err := http.ListenAndServe(PProfAddress, httpMux); err != nil {
		log.Println(err)
	}
}()

也可以直接调用 PrometheusHandler 监控,包含了PProf性能监控

实战案例

https://github.com/daheige/hg-mux