Concurrency with Goroutines, Channels, and Worker Patterns
Learn the most famous part of Go: practical concurrency patterns that make parallel and asynchronous work easier to reason about.
Inside this chapter
- Why Go Concurrency Feels Different
- Starting a Goroutine
- Channels
- Common Patterns
- Real Example
Series navigation
Study the chapters in order for the clearest path from Golang basics to advanced concurrency, service design, and production engineering. Use the navigation at the bottom to move smoothly through the full tutorial series.
Why Go Concurrency Feels Different
Go includes goroutines and channels directly in the language, which makes concurrent programming feel more natural than in many environments where concurrency is mostly library-driven. This is one reason Go is so popular for servers and distributed systems.
Starting a Goroutine
go sendEmail(user)A goroutine runs a function concurrently. Goroutines are lightweight compared to traditional threads, which makes them practical at scale.
Channels
messages := make(chan string)
go func() {
messages <- "done"
}()
msg := <-messagesChannels let goroutines communicate safely and coordinate work. They are one of the core synchronization and data-flow tools in Go.
Common Patterns
- Worker pools
- Fan-out and fan-in pipelines
- Background processing
- Timeout and cancellation flows
- Concurrent I/O processing
Real Example
An image-processing service may start multiple goroutines to resize uploaded images in parallel while a channel collects results. This can significantly improve throughput when designed carefully.