go-concurrency-patterns

A Go worker pool limits concurrent goroutines by managing a fixed set of workers that process jobs from a channel. This pattern prevents resource exhaustion and ensures controlled concurrency for high-throughput tasks.

Graceful shutdown in Go uses context cancellation to signal goroutines to stop processing and clean up. This ensures clean termination and proper lifecycle management when your application receives an interrupt signal.

Fan-out fan-in concurrency in Go parallelizes work across multiple goroutines and safely merges results back into a single channel. This pattern maximizes throughput for data processing pipelines by distributing and collecting results concurrently.

Synchronization primitives like mutexes protect shared state, while Go channels facilitate communication and bounded concurrency between goroutines. You need synchronization for direct memory access, but channels for coordinating worker pools and pipelines.

Yes, Go concurrency patterns are designed for high-throughput servers and background tasks. Using worker pools and context cancellation ensures your server handles concurrent requests efficiently while maintaining safe and scalable resource management.

Goroutine leaks in Go pipelines occur when workers are not properly signaled to exit. Implementing bounded concurrency with context cancellation ensures all goroutines terminate cleanly during graceful shutdown, preventing resource leaks.