go-concurrency-patterns

To implement a worker pool in Go, you use goroutines and channels to manage a fixed number of workers processing jobs concurrently. This pattern ensures efficient resource utilization by limiting the number of active goroutines processing incoming requests.

Handling errors across multiple goroutines is best done using an error group to collect and propagate failures. The errgroup package synchronizes concurrent operations and returns the first critical error, ensuring reliable concurrent system behavior.

You gracefully shutdown goroutines by using context cancellation alongside channels and sync.WaitGroup. This signals active workers to stop processing, allowing them to finish current tasks and release resources without causing deadlocks.

You can use channels and a ticker to rate limit concurrent API requests in Go. This pattern controls the flow of goroutines accessing external services, preventing resource exhaustion and ensuring reliable concurrent system performance.

The fan-out fan-in pattern distributes work across multiple goroutines and then aggregates their results into a single channel. This approach maximizes parallelism by splitting tasks and collecting outputs, solving challenges in building scalable concurrent pipelines.