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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. It carries information about who’s accessing your system, what they’re requesting, how long it takes, and whether it succeeds or fails.

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.

No matter if you are creating a simple REST service or a complex one, you will need to handle panics to provide good resiliency and stability. Without panic recovery mechanisms in place, an uncaught panic in your HTTP handler will crash your entire server, leaving your clients without service and no meaningful error response.

Static site generators are a fantastic way to manage a website. Static sites are faster and safer than dynamic sites. Nginx is an ideal web server for serving these static files.

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.