go-concurrency-patterns

Structuring Go concurrency safely requires repeatable patterns using context, errgroup, and channels. These primitives coordinate multiple goroutines, enforce proper synchronization, and prevent race conditions and resource leaks.

Implementing a Go worker pool involves coordinating a fixed number of goroutines to process jobs concurrently. This pattern provides controlled concurrency, routing data safely through channels to process jobs without exhausting resources.

Graceful shutdown in Go uses context for cancellation and signals to trigger clean termination across multiple goroutines. This pattern enforces proper cleanup of resources and stops workers safely during cancellation.

Propagating errors and canceling remaining work in Go pipelines requires using context and errgroup. This approach routes data through multiple stages, merges results, and cancels remaining goroutines on failure.

Yes, this approach supports fan-out and fan-in data routing in Go. It routes data through multiple concurrent stages and merges results with proper synchronization to handle scaled workloads.

Goroutines deadlock or leak resources without proper synchronization and cleanup patterns. Using context, errgroup, and channels correctly enforces best practices that reduce deadlocks and prevent resource leaks during execution.