How we built an event-driven setup on Taskiq at PDP and stopped chasing status race conditions
At PDP, we built an event-driven architecture on Taskiq: business actions generate events, handlers run in parallel, and Redis persistence plus idempotency help us avoid losing data.
In one place, a status can arrive from several subsystems at once — classic distributed systems behavior: someone has “updated” it, someone is “still updating” it, and you’re sitting there with a coffee watching the show 👀
At PDP, we built an event-driven architecture on Taskiq: every business action generates an event, and we run handlers in parallel with asyncio.gather(). The nice part is that if one handler crashes with an unhappy stack trace, the others don’t get blocked and keep working.
We used a fire-and-forget pattern with Redis persistence and idempotency: the event doesn’t get lost, and reprocessing it doesn’t break the data. For systems where everything runs in an async rhythm and real-time is no longer hype but the baseline, this is a real must-have.
In short, we made the system stop panicking when events start flying in from all sides 😌