go-concurrency-patterns

Go concurrency patterns use goroutines and channels to build worker pools for parallel task processing. This approach prevents resource exhaustion by limiting active workers while efficiently distributing incoming jobs across available concurrent processes.

The best way to handle errors in concurrent Go applications is using the errgroup package with context.Context. This synchronizes goroutines, propagates cancellation signals, and ensures graceful shutdown when a concurrent task fails.

The fan-out/fan-in pipeline in Go distributes data from one channel across multiple goroutines for parallel processing, then merges results into a single output channel. This pattern maximizes throughput for concurrent data pipelines.

To use semaphores for rate limiting in Go, acquire a weighted token before launching a goroutine to restrict concurrent execution. This limits parallelism, preventing system overload while safely managing concurrent resource access.

You need context.Context in Go to enforce timeouts and cancellation signals across spawned goroutines. It ensures concurrent tasks initiate graceful shutdown when a parent operation aborts, preventing deadlocked or leaked processes.

Prevent race conditions and deadlocks in Go concurrency by using sync.Mutex for safe data access and sync.WaitGroup to coordinate goroutine lifecycles. These synchronization primitives ensure robust concurrent execution without common pitfalls.