When atomic is actually faster than Mutex

This Habr article explores multithreaded programming in Go, specifically focusing on the choice between synchronization primitives sync/atomic and sync.Mutex. The author examines how both tools work, explaining how to avoid data races when accessing shared resources from multiple goroutines. The primary focus is on performance, detailing the architectural scenarios where atomic operations prove more efficient than mutex-based locking. The article helps developers better understand Go's internals and optimize critical code sections where high performance is essential during concurrent access. The author argues that the choice between atomic and Mutex should be based on specific tasks and workload characteristics rather than just implementation convenience. Readers can find the full analysis and code examples in the original publication on Habr.