go-concurrency-patterns

To implement a worker pool in Go, you use goroutines for parallel task execution and channels to distribute and collect work. This pattern ensures scalable task execution while preventing resource exhaustion.

The best way to handle graceful shutdown in Go is using context-aware cancellation and timeouts. This ensures active goroutines terminate predictably without leaking resources or dropping ongoing tasks.

Fan-out fan-in pipeline concurrency in Go works by distributing a single input channel across multiple goroutines for parallel processing, then merging their output channels back into a single stream.

You need bounded concurrency in Go programs when managing large task volumes that could overwhelm system resources. It limits simultaneous goroutine execution using synchronization primitives to ensure safe, predictable behavior.

To prevent goroutine leaks when using context cancellation, enforce context checks within your goroutines and close channels properly. This synchronization ensures all workers exit cleanly when a context times out or is cancelled.