Python Concurrency — Senior¶

Concurrency design is resource management.

• Bound queues and record rejection or wait time.
• Avoid unstructured background tasks; own and await task lifecycles.
• Design idempotency before parallel retries.
• Separate CPU pools from latency-sensitive event loops.
• Load-test saturation, cancellation, and dependency slowdown.

Use traces and queue metrics to decide where concurrency is actually needed.