go-concurrency-patterns

Implement a worker pool in Go by spawning a fixed number of goroutines that consume jobs from a shared channel, process them concurrently, and return results via a separate channel to control resource utilization and throughput.

The fan-out fan-in concurrency pattern in Go distributes work across multiple goroutines to process data in parallel, then fans the results back into a single channel to aggregate outputs for efficient concurrent pipeline processing.

Handle graceful shutdown in Go concurrent applications by using context cancellation to signal goroutines to stop processing, ensuring worker pools and pipelines drain remaining tasks and terminate cleanly without losing data.

Limit concurrent goroutines in Go by implementing a bounded concurrency semaphore using buffered channels, which restricts the number of parallel executions and prevents resource exhaustion during heavy concurrent processing.

Manage errors across multiple goroutines in Go by using error groups with cancellation, such as sync groups combined with context, to propagate failures and halt execution when concurrent operations encounter issues.

Race conditions in Go occur when multiple goroutines access shared data without proper synchronization, which you can debug using the built-in race detector and resolve by applying mutexes or channel-based coordination.