🚀 Is your Go application ready to scale under pressure?
If you’ve ever faced long-running database queries, uncontrolled goroutines, or unresponsive APIs, you know how quickly things can spiral out of control.

What if I told you there’s a simple, yet powerful solution?
Go’s context.Context provides a robust way to handle timeouts, cancellations, and task lifecycles, ensuring your application remains efficient, predictable, and resilient—even during traffic surges.

🔑 In this guide, you'll learn:

How context.Context works and why it’s essential for scalability.
Real-world examples with Go middleware, database queries, and HTTP APIs.
Common pitfalls to avoid (like forgetting to cancel contexts 👀).
Best practices for clean and maintainable Go code.
🧑‍💻 Key Highlight: I break down a complete example of using context.Context in an HTTP server to manage long-running tasks with timeouts and graceful cancellations.

👉 Check out the full article here: https://www.linkedin.com/pulse/from-beginner-pro-unlocking-power-contextcontext-scalable-agarwal-pglmc

🔥 If you’re serious about building scalable Go applications, this is a must-read!

I’d love to hear your thoughts—how are you managing timeouts and cancellations in your Go projects? Share your experiences in the comments below! 🚀