How we built an event-driven system on Taskiq and stopped worrying about race conditions
At PDP, almost every business action emits an event. We run handlers in parallel with `asyncio.gather()`, and Redis persistence plus idempotency help us avoid losing events or processing bad duplicates.
At PDP, almost every business action emits an event. After that comes the magic without the magic: we run handlers in parallel with asyncio.gather(). If one fails, the others keep going — and that matters a lot when a room status can arrive from several subsystems at once. Otherwise, it’s the usual story: one service sneezes, and the whole chain falls over.
We went with fire-and-forget: send the event and don’t hold the thread, as if you were waiting for a colleague to join a call 🙂 At the same time, we don’t cut corners on reliability: Redis persistence + idempotency make sure the event is not lost and not processed incorrectly more than once.
Against the backdrop of the hype around realtime and event-first systems, this is no longer a “nice to have” — it’s the baseline for live products. In practice, we saw less coupling, more resilience, and a system that doesn’t panic under load.