goroutine-patterns

Implement a worker pool in Go by launching a fixed number of goroutines that consume jobs from a shared channel. This Skill provides examples for setting up efficient worker pools to process jobs concurrently and manage parallel task execution safely.

Managing goroutine lifecycles requires proper synchronization and cancellation mechanisms. This Skill demonstrates using context.Context for timeouts and cancellation, alongside synchronization primitives like WaitGroups, to coordinate concurrent tasks and ensure safe goroutine termination.

Build a concurrent pipeline by distributing work across multiple goroutines and aggregating the results. This Skill implements fan-out and fan-in concurrency patterns, enabling stages to process data in parallel and communicate safely through channels.

Use sync primitives like Mutexes when protecting shared state, and channels for safe communication and coordination between concurrent tasks. This Skill addresses both approaches to help you manage state and synchronization effectively in parallel systems.

Yes, you can handle concurrent web server requests by utilizing error groups and worker pools. This Skill guides you in setting up efficient request processing and managing concurrent operation lifecycles to build scalable web servers.