programming

Building Production-Ready HTTP Logging Middleware for Go’s Mux Router Observability is the cornerstone of modern web applications. When your API starts experiencing issues at 3 AM, comprehensive logging can mean the difference between a quick fix and hours of frustrated debugging. In this guide, we’ll build a production-grade HTTP logging middleware for Gorilla Mux that goes beyond simple request logging to provide actionable insights into your application’s behavior. Why HTTP Logging Middleware Matters Every HTTP request tells a story.

Building Production-Ready Rate Limiting Middleware in Go Rate limiting is your application’s first line of defense against abuse, whether from malicious actors launching denial-of-service attacks, buggy clients stuck in retry loops, or legitimate users inadvertently overwhelming your system. Without proper rate limiting, a single misbehaving client can bring down your entire service, impacting all users and potentially costing your business significant revenue and reputation. In this comprehensive guide, we’ll build a production-grade rate limiting middleware for Go HTTP servers that protects your APIs while maintaining performance and flexibility.

A logging middleware is a piece of software that sits between the incoming request and the final handler function in a web application. Its primary purpose is to log information about each request that comes through the application.

This blog post will discuss how to use the OpenAI Chat API in Golang. For this purpose we will create a simple REPL (Read-Eval-Print-Loop) that will use the GPT-3 API to generate the responses.

Even if you don’t know about signed Git commits, you might have seen this on GitHub:

No mater if you are creating a simple rest service or a complex one, you will need to handle panics in order to provide a good resiliency.

Businesses use the SOCKS5 proxy all of the time, mostly for security purposes. Since security is a major point of any data-driven organization, including a SOCKS5 proxy could significantly ramp up the digital security of the company’s data.

Besides securing their data, it can restrict access to particular digital services through advanced authentication, which is completely optional and comes as a courtesy of SOCKS5.

Honeypots are a security tool that is used to protect networks and systems from malicious attacks. They are designed to mimic the behavior of a real network or system, making them appear attractive to potential attackers. When an attacker targets a honeypot, they are led to believe that they have successfully breached a valuable asset, when in reality, they are interacting with a decoy. Honeypots are a valuable tool for security professionals, as they can provide valuable information about an attacker’s tactics and motivations, as well as alerting the security team to potential threats.

Request-based tracing provides a way to determine what exactly is happening with your requests and why.

It is handy when you want to reproduce and understand the problem that you are experiencing.

If you’re running a HTTP server and want to rate limit user requests, and most of the frameworks are providing their own middleware.

But if you want something simple and lightweight – or just want to learn – it’s not too difficult to roll your own middleware to handle rate limiting.