go-concurrency-patterns

Implement a worker pool in Go by coordinating goroutines and channels to process tasks concurrently. This pattern balances workload distribution across parallel workers, preventing resource exhaustion while maintaining safe concurrent execution.

Graceful shutdown using context involves propagating cancellation signals to active goroutines. This mechanism ensures concurrent operations terminate safely, preventing goroutine leaks when applications stop or timeouts occur.

Prevent race conditions in Go concurrent applications by applying safe coordination patterns with sync primitives and channels. Proper synchronization ensures data access remains protected across multiple executing goroutines.

The fan-out fan-in pattern distributes workload by dispatching tasks to multiple goroutines and aggregating their results via channels. This approach maximizes parallel processing throughput while maintaining safe result collection.

Handle errors across concurrent Go pipeline operations by propagating them through dedicated channels alongside data streams. This ensures error handling remains centralized without blocking concurrent processing stages.

Use pipelines for streaming data through sequential concurrent stages, and worker pools for processing independent parallel tasks. Choose based on whether your workload requires ordered data transformation or parallel job execution.