Parallelism in Go — Part 1: goroutines and WaitGroup

📰 Dev.to · Odilon HUGONNOT

Learn how to use goroutines and WaitGroup in Go to achieve parallelism and speed up tasks, like fetching 10 URLs in 1s instead of 10s

intermediate Published 11 Apr 2026
Action Steps
  1. Create a new Go program using goroutines to fetch multiple URLs concurrently
  2. Use sync.WaitGroup to wait for all goroutines to finish
  3. Avoid the classic loop closure trap by using a closure or a separate function
  4. Run the Go program with the race detector to identify potential concurrency issues
  5. Compare the execution time of the parallel program with a sequential one
Who Needs to Know This

Developers and software engineers working with Go can benefit from this knowledge to improve the performance of their applications. Team leads and tech leads can also use this to guide their team members in implementing parallelism in their Go projects.

Key Insight

💡 Using goroutines and WaitGroup can significantly improve the performance of Go programs by allowing concurrent execution of tasks

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🚀 Speed up your Go programs with parallelism using goroutines and WaitGroup! 💻

Key Takeaways

Learn how to use goroutines and WaitGroup in Go to achieve parallelism and speed up tasks, like fetching 10 URLs in 1s instead of 10s

Full Article

Learning Go parallelism from scratch: goroutines, sync.WaitGroup, the classic loop closure trap and the race detector. With a concrete example — 10 URLs in 1s instead of 10s.
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