If you're wondering how and when distributed locking can be useful, here's the practical guide. I explained why distributed locking is needed in real-world scenarios. Explored how popular tools and systems implement locks (Redis, ZooKeeper, databases, Kubernetes single-instance setups, etc.). Discussed potential pitfalls—like deadlocks, lock expiration, and single points of failure—and how to address them. By the end, you should have a decent grasp of distributed locks, enough to make informed decisions about whether (and how) to use them in your architecture.
Good stuff
Thank you!
Nice explanation