Race conditions are one of those bugs that can make you question everything.
The application works during development. Testing passes. Even staging looks fine.
Then production traffic arrives.
Two requests update the same record at almost the same time.
One change silently overwrites another.
A transaction gets stuck waiting on a lock.
Now you're chasing a bug that only appears under very specific conditions.
The frustrating part is that these issues aren't easy to reproduce. They only show up when multiple requests interact with the same data at just the wrong moment.
My first instinct is usually to look for a bug in the application code. More often than not, the real problem is how concurrent requests interact with the database.
Understanding transactions, row-level locking, and when to use tools like transaction.atomic() or select_for_update() can make a huge difference once your application starts handling real traffic.
I came across this article while reading about concurrency issues in Django. It explains race conditions and deadlocks with practical examples and walks through a few approaches to avoid them.
https://www.kubeblogs.com/avoid-race-conditions-and-deadlocks-in-django-step-by-step-guide/
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