goappmonitor

Golang application performance data monitoring.

GoAppMonitor is a library which provides a monitor on your golang applications. It contains system level based monitoring and business level monitoring(custom monitoring).Just add the repository into your apps and register what you want to monitoring.

Summary

Using GoAppMonitor to monitor the golang applications, in general as following:

In your golang application code, the user calls the statistics function provided by goappmonitor; when the statistics function is called, the appmonitor generates a statistical record, and is stored in memory.GoAppMonitor will automatically and regularly record these statistics push to the agent such as Open-Falcon agent.

Version

version support agent:

v0.0.1 - Open-Falcon (Open source monitoring system of Xiaomi)

todo....

support more type metrics,such as ewma and flow type.
remove third-part library.
support more agent frameworks,such as elasticsearch...

Install

go get github.com/wgliang/goappmonitor

Demo

Usage

Below is an example which shows some common use cases for goappmonitor. Check example for more usage.

Detail API

package main

import (
	"math/rand"
	"time"

	appm "github.com/wgliang/goappmonitor"
)

// Base or system perfomance data,such as memeory,gc,network and so on.
func baseOrsystem() {
	for _ = range time.Tick(time.Second * time.Duration(10)) {
		// (commonly used) Meter, used to sum and calculate the rate of change. Use scenarios
		// such as the number of home visits statistics, CG etc..
		pv := int64(rand.Int() % 100)
		appm.Meter("appm.meter", pv)
		appm.Meter("appm.meter.2", pv-50)

		// (commonly used) Gauge, used to preserve the value of the instantaneous value of the
		// type of record. Use scenarios such as statistical queue length, statistics CPU usage,
		// and so on.
		queueSize := int64(rand.Int()%100 - 50)
		appm.Gauge("appm.gauge", queueSize)

		cpuUtil := float64(rand.Int()%10000) / float64(100)
		appm.GaugeFloat64("appm.gauge.float64", cpuUtil)
	}
}

// Custom or business perfomance data,such as qps,num of function be called, task queue and so on.
func customOrbusiness() {
	for _ = range time.Tick(time.Second) {
		// Histogram, using the exponential decay sampling method, the probability distribution of
		// the statistical object is calculated. Using scenarios such as the probability distribution
		// of the statistics home page to access the delay
		delay := int64(rand.Int() % 100)
		appm.Histogram("appm.histogram", delay)
	}
}

func main() {
	var ch chan int
	go baseOrsystem()
	go customOrbusiness()
	<-ch
}

Credits

Repository is base on goperfcounter of niean

Logo is desigend by xuri

andylau004/goappmonitor