Grokking Concurrency in Go
Learn to write concurrent Go programs that are correct, fast, and easy to debug. The course covers goroutines, channels, select, the sync and context packages, atomics and the memory model, the standard concurrency patterns, flow control, testing, and the Go scheduler, with runnable Go 1.27 programs throughout.
Course Overview
Go makes it easy to start work at the same time: one keyword starts a goroutine, and a channel carries values between goroutines. Writing concurrent programs that stay correct under load is harder. A missing receive leaves a goroutine blocked forever, a shared variable without a lock gives a different answer on each run, and a request that nobody cancels keeps working after the caller has gone. This course teaches Go concurrency from the first goroutine to production code. Each chapter adds one tool (channels, select, sync, atomics, context), explains how it behaves when something goes wrong, and ends with an assessment. Later chapters combine the tools into patterns such as pipelines, worker pools, and rate limiters, show how to find and test for deadlocks, races, and leaks, and build complete case studies: a web crawler, a pub/sub broker, a rate-limited API client, and a parallel file indexer. The example programs run in the browser on Go 1.27.
What you'll learn in Grokking Concurrency in Go
- Tell concurrency from parallelism, and see why goroutines speed up IO bound work while CPU bound work needs more cores.
- Wait on several channels at once with select, add timeouts with timers, and write long-running for-select loops.
- Recognize data races, read race detector reports, and use atomics and compare-and-swap where they fit.
- Cancel work and enforce deadlines across goroutines with the context package, including causes and AfterFunc.
- Handle errors and panics in goroutines, and shut a service down without losing work in progress.
- Find deadlocks, livelocks, and goroutine leaks, including with the goroutine leak profile that is standard in Go 1.27.
- See how the scheduler, channels, and mutexes work inside the runtime, and trace programs with the flight recorder.
- Use channels correctly: direction, closing, nil channels, ownership, and what each operation does in each channel state.
- Protect shared state with Mutex and RWMutex, and coordinate goroutines with WaitGroup, Once, Cond, Map, and Pool.
- Learn the Go memory model, so you know when a write in one goroutine is visible to another.
- Build generators, pipelines, fan-out and fan-in, worker pools, semaphores, and error groups.
- Control load with rate limiting, bounded queues, retries with jitter, heartbeats, circuit breakers, and hedged requests.
- Test concurrent code deterministically with synctest and the race detector, and benchmark lock contention.
- Apply it all in case studies: a web crawler, a pub/sub broker, a rate-limited API client, and a parallel file indexer.
Course Content
Data Races, Atomics, and the Memory Model
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About the Author
Arslan Ahmad
Industry Expertise & Leadership
Arslan Ahmad is the lead author of Grokking Concurrency in Go. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.
He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.
The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.
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FAQs
What is Grokking Concurrency in Go?
It is a text course on writing concurrent Go programs that stay correct under load. It starts with goroutines and channels, adds select, the sync package, atomics, the memory model, and the context package one at a time, combines them into the standard concurrency patterns, and then covers flow control, finding and testing concurrency bugs, the runtime internals, and complete case studies.
Who is this course for?
It is for developers who know basic Go and want to write concurrent code with confidence, for back-end engineers who build services in Go, and for engineers preparing for interviews where Go concurrency questions come up.
What should I know before starting?
You should be comfortable with basic Go: variables, slices, maps, structs, methods, interfaces, errors, closures, and starting a goroutine. You do not need to know select, the sync package, or context, because the course teaches each of them from the start. Grokking Go covers everything the course assumes.
How is this different from Grokking Go?
Grokking Go teaches the language and ends with an introduction to goroutines and buffered and unbuffered channels. This course starts where that one stops and covers concurrency in depth: select, the sync package, atomics, the memory model, context, patterns, flow control, debugging, testing, and the runtime.
How is this different from Grokking Multithreading and Concurrency for Coding Interviews?
That course teaches threads and synchronization in Python, Java, C++, and C#, built around threading interview problems. This course is about Go only, and it teaches the tools Go provides instead of threads: goroutines, channels, select, the sync and context packages, and the Go runtime.
Which version of Go does the course use?
Go 1.27. It uses current features such as WaitGroup.Go, per-iteration loop variables, typed atomics, the synctest package for testing, the flight recorder, and the goroutine leak profile, and it says which Go version added each recent feature.
Do I need to install Go?
No. The example programs run in the browser, so you can start immediately. The testing chapter shows its test and benchmark files together with the output of go test, and you can run those with a local Go installation if you want to.
Does the course use third-party packages?
The runnable programs use only the standard library. Where a widely used package helps, such as errgroup, semaphore, or the rate limiter from the golang.org/x modules, the lesson builds a small version by hand and then shows how the package is used.
Is there any practice, or is it only reading?
The lessons are built around programs that you can edit and run in the browser, every chapter after the introduction ends with an adaptive assessment, and the last chapter includes classic concurrency exercises with solutions, such as printing odd and even numbers from two goroutines and the dining philosophers.
Will this course help with interviews?
Yes. The case studies are common interview tasks, such as a concurrent web crawler and a rate-limited client, and several lessons end with a short section on how to explain the topic in an interview. The rest of each lesson teaches the subject itself, so what you learn applies to production code as well.
Is the course text-based or video-based?
It is text-based, with diagrams and runnable code in the lessons. You read an explanation, change the example, run it, and see the result without pausing or rewinding anything.
Do I get a certificate of completion?
Yes. Design Gurus issues a certificate once you have completed the course, and you can share the link directly or add it to your LinkedIn profile.
