


In Go applications, logging and monitoring are critical to health and observability. Best practices include choosing log levels based on importance and logging only necessary information. Use structured logging and centralized logging. Set up custom metrics and use monitoring tools like Prometheus. Set alert rules and integrate distributed tracing.
Go framework logging and monitoring common issues and best practices
In the Go framework, logging and monitoring are important to the health and observability of the application Crucial. This article focuses on common logging and monitoring issues and provides best practices to help you effectively utilize these tools in your Go applications.
Logging best practices
- Choose the appropriate log level: According to the importance of the application, select INFO, DEBUG, WARN, ERROR levels, only record Necessary logs.
- Use structured logs: Use a log library such as logrus to provide structured logs for easy parsing and filtering.
- Logging related events: In addition to error messages, request details (such as IP address, HTTP method) and stack traces are also logged.
- Centralized logging: Use a centralized logging service such as ELK Stack to collect all application logs into one place for easy analysis and search.
Monitoring Best Practices
- Set Custom Metrics: Create application-specific metrics such as number of API calls, processing time, and error rate .
- Use a monitoring tool like Prometheus: Prometheus is a popular monitoring system that supports metric collection, alerting, and data visualization.
- Set alarm rules: Establish alarm rules to send you an alert when specific conditions are triggered (such as the error rate reaching a threshold).
- Integrated distributed tracing: Distributed tracing of requests through a framework such as OpenCensus or Jaeger to understand the flow of requests in the application.
Practical case
Configure logrus for structured logging
import ( "io" "github.com/sirupsen/logrus" ) func main() { // 创建一个带格式化程序的日志记录器 logger := logrus.New() logger.Formatter = &logrus.JSONFormatter{} // 记录一个结构化日志记录 logger.WithFields(logrus.Fields{ "level": "info", "module": "main", "message": "Application started", }).Info("Application started successfully") // 将日志记录写入文件 f, err := os.OpenFile("mylog.log", os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644) if err != nil { panic(err) } defer f.Close() logger.SetOutput(io.MultiWriter(f, os.Stdout)) }
Use Prometheus to collect custom indicators
import ( "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/client_golang/prometheus/promhttp" "net/http" ) var requestCount = prometheus.NewCounter( prometheus.CounterOpts{ Name: "http_requests_total", Help: "HTTP 请求总数", }, ) func main() { // 注册指标 prometheus.MustRegister(requestCount) http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { // 增加请求计数 requestCount.Inc() // 发送响应 w.Write([]byte("Hello, world!")) }) // 导出指标 http.Handle("/metrics", promhttp.Handler()) http.ListenAndServe(":8080", nil) }
The above is the detailed content of Golang framework logging and monitoring common issues and best practices. For more information, please follow other related articles on the PHP Chinese website!

go语言有缩进。在go语言中,缩进直接使用gofmt工具格式化即可(gofmt使用tab进行缩进);gofmt工具会以标准样式的缩进和垂直对齐方式对源代码进行格式化,甚至必要情况下注释也会重新格式化。

本篇文章带大家了解一下golang 的几种常用的基本数据类型,如整型,浮点型,字符,字符串,布尔型等,并介绍了一些常用的类型转换操作。

go语言叫go的原因:想表达这门语言的运行速度、开发速度、学习速度(develop)都像gopher一样快。gopher是一种生活在加拿大的小动物,go的吉祥物就是这个小动物,它的中文名叫做囊地鼠,它们最大的特点就是挖洞速度特别快,当然可能不止是挖洞啦。

是,TiDB采用go语言编写。TiDB是一个分布式NewSQL数据库;它支持水平弹性扩展、ACID事务、标准SQL、MySQL语法和MySQL协议,具有数据强一致的高可用特性。TiDB架构中的PD储存了集群的元信息,如key在哪个TiKV节点;PD还负责集群的负载均衡以及数据分片等。PD通过内嵌etcd来支持数据分布和容错;PD采用go语言编写。

在写 Go 的过程中经常对比这两种语言的特性,踩了不少坑,也发现了不少有意思的地方,下面本篇就来聊聊 Go 自带的 HttpClient 的超时机制,希望对大家有所帮助。

go语言需要编译。Go语言是编译型的静态语言,是一门需要编译才能运行的编程语言,也就说Go语言程序在运行之前需要通过编译器生成二进制机器码(二进制的可执行文件),随后二进制文件才能在目标机器上运行。

删除map元素的两种方法:1、使用delete()函数从map中删除指定键值对,语法“delete(map, 键名)”;2、重新创建一个新的map对象,可以清空map中的所有元素,语法“var mapname map[keytype]valuetype”。


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Zend Studio 13.0.1
Powerful PHP integrated development environment
