go-concurrency-patterns

To implement a worker pool in Go, use goroutines to process tasks concurrently and channels to distribute work. Apply context for cancellation support to ensure graceful shutdown when stopping the pool.

Graceful shutdown in Go concurrency uses context for cancellation and channels to propagate errors. Ensure goroutines monitor context cancellation and exit cleanly while forwarding errors through channels.

Go channels and pipelines connect goroutines in stages, passing data downstream for scalable task processing. Each stage reads from an inbound channel, processes data, and writes to an outbound channel.

Use sync primitives like Mutex for protecting shared state, and channels for coordinating goroutines and passing data. Choose channels when sharing values, and sync primitives when managing access to shared memory.

Apply backpressure in Go services using buffered channels to limit concurrent work, and use context timeouts to cancel long-running tasks. This prevents resource exhaustion under heavy load.

Yes, Go context works with goroutines to signal cancellation and timeouts. You can propagate errors by checking context cancellation within goroutines and returning errors through dedicated error channels.