golang-concurrency-patterns

To prevent goroutine leaks, propagate context cancellation signals through all goroutines so they exit gracefully when the context is done. This ensures concurrent tasks shut down cleanly without leaking resources.

The best way to handle errors with errgroup during fan-out fan-in is letting the group coordinate concurrent execution and capture the first error. This pattern automatically cancels remaining goroutines when a failure occurs, propagating the error back to the main caller.

Implement bounded parallelism using worker pools or semaphores to limit active goroutines. This prevents resource exhaustion by ensuring your service only spins up a fixed number of concurrent workers to process items, maintaining stable memory and CPU usage.

The race detector flags data races because concurrent goroutines are accessing shared variables without proper synchronization. You can resolve these common race and deadlock pitfalls by applying mutexes or channels to protect memory access across concurrent operations.

Yes, you need prior understanding of Go's concurrency primitives like channels and mutexes. This Skill provides advanced, production-ready patterns for building reliable services and assumes you are already familiar with these foundational synchronization concepts.

You should avoid using channels for simple state protection when a mutex provides clearer and more efficient synchronization. Understanding common race and deadlock pitfalls helps determine when mutexes or channels best fit your specific concurrency pattern.