go-concurrency-patterns

A worker pool in Go processes tasks concurrently by spawning a fixed number of goroutines that consume jobs from a channel. This pattern ensures safe parallel task processing and limits resource usage.

A fan-out/fan-in pipeline in Go distributes data across multiple goroutines for parallel processing and merges the results back into a single channel. This pattern streamlines streaming and concurrent data processing.

Context enables graceful shutdown in Go by propagating cancellation signals across goroutines. It coordinates safe termination during concurrent operations, ensuring services and CLIs exit cleanly without synchronization bugs.

You need bounded concurrency with semaphores in Go when managing massive parallel operations that risk exhausting system resources. This pattern limits active goroutines to prevent resource exhaustion and ensure stable execution.

Prevent race conditions in Go by applying established concurrency patterns with sync primitives and channels. Coordinating goroutines with worker pools and context ensures safe synchronization and reduces bugs.