go-concurrency-patterns

You implement a Go worker pool by distributing work across multiple goroutines using channels. This pattern coordinates task execution to build scalable Go services and control resource usage.

Graceful shutdown in goroutines is handled using context for cancellation. This mechanism stops multi-goroutine programs cleanly, terminating pipelines and worker pools without losing active tasks.

Fan-out and fan-in patterns in Go build data processing pipelines by composing parallel stages. Goroutines distribute tasks across workers and aggregate results back through channels.

Bounded concurrency with semaphores limits active goroutines to prevent resource exhaustion. Using sync primitives, this pattern restricts parallel work to a fixed number during high-throughput processing.

Race conditions in multi-goroutine programs occur when goroutines access shared data without synchronization. Debug these issues by applying sync primitives and channels to coordinate safe memory access.

Yes, you need context and sync primitives to coordinate goroutines effectively. They provide the necessary synchronization mechanisms for race-condition debugging and managing concurrent execution.