Python's asyncio primitives have a fundamental flaw when coordinating concurrent tasks around shared state. Developers building Inngest's Python SDK discovered that standard tools like asyncio.Event and asyncio.Condition break down under real concurrency pressure, particularly when managing WebSocket connection states.

Polling loops waste CPU cycles or add latency, while Event objects proliferate as each new condition requires its own boolean flag. Condition variables seem promising but fail when state transitions happen faster than consumers can wake up. In a single-threaded event loop, rapid transitions can cause consumers to miss intermediate states entirely - a critical bug when draining pending requests during connection shutdown.

The solution involves per-consumer queues that buffer every state transition. Instead of waking consumers to check the current value, each consumer gets its own queue that receives every (old, new) state pair. This guarantees no intermediate state is lost, even during rapid transitions. The final implementation includes thread safety, timeouts, atomic registration, and a full async/sync API. This approach solves the lost update problem that plagues Condition-based coordination and provides reliable state management for concurrent async Python applications.