"Why is our service slow?" "I don't know, the heap is only 200MB". "But we're allocating... wait, how much?" "12 terabytes". "...in how long?" "30 seconds profile". That's when we realized: we weren't running a service. We were running a garbage factory that occasionally served API requests. The Go garbage collector was heroically trying to clean up our mess, and we were blaming it for not cleaning fast enough. This deep dive into GC internals, profiling tools, and production war stories will teach you how to stop fighting the garbage collector and start working with it.

Bitmasking is one of those computer science tricks that feels like wizardry, until you realize it's just some clever shifting and binary math. This blog explores the idea, shows how we use it in Go, and why it's surprisingly useful when working with databases like Couchbase.

In Go, method receivers determine whether a method acts on a copy of a value or a reference to it. This choice isn't just about performance; it affects correctness and behavior, especially when dealing with synchronization primitives (mutex, wait group, etc), slices, and embedded types.

When it comes to writing clean, maintainable code, there are a few fundamental rules that can help improve the overall structure and quality of your codebase. As engineers, our goal should be to keep things simple, clear, and scalable. With this in mind, here are some guidelines which prioritize code readability, functional clarity, and the overall maintainability of a project. These guidelines are based on principles from clean code, SOLID, and functional programming while emphasizing simplicity over unnecessary complexity.

SOLID and functional programming principles explained and implemented in Go