go-concurrency-patterns

To implement a worker pool in Go, you use goroutines for concurrent execution and channels to distribute and collect jobs. This pattern manages concurrent task processing while preventing resource exhaustion in high-throughput services.

The best way to handle errors in concurrent Go operations is using `errgroup`. It manages multiple goroutines, propagating the first encountered error to synchronize concurrent execution and ensure safe error handling.

Context management for graceful shutdown uses `context.Context` to propagate cancellation signals. This mechanism stops active goroutines safely during shutdown, preventing data loss and ensuring clean resource release.

Building a fan-out/fan-in pipeline in Go involves distributing work across multiple goroutines and merging results through channels. This pattern maximizes throughput by parallelizing data processing stages.

Rate limiting in Go concurrent applications uses `golang.org/x/sync/semaphore` to restrict active goroutines. This controls resource utilization, preventing system overload during peak traffic in backend systems.

You need synchronization primitives like `sync.Mutex` and `sync.WaitGroup` when managing shared state across goroutines. They prevent race conditions and coordinate concurrent execution safely within your application.