python
17 minPython Async Runtime Advanced: GIL, ASGI Lifecycles, and Safe Concurrency
Understand event-loop scheduling, CPU versus I/O concurrency, ASGI worker lifecycles, per-request sessions, and cancellation-safe background work.
Loading page...
python
17 minUnderstand event-loop scheduling, CPU versus I/O concurrency, ASGI worker lifecycles, per-request sessions, and cancellation-safe background work.
Q&A
Q&AEvery accepted item has been acknowledged, not necessarily committed successfully.
A bounded queue limits waiting items; workers hold additional active items. task_done releases unfinished-item accounting, while business success and durable retries require separate records.
Q&A
Q&AIt cancels unfinished siblings, waits for cleanup, and surfaces failures as a group.
Child cancellation is cooperative, so cleanup must run and cancellation should normally be re-raised. A task group scopes lifetimes; it does not roll back remote effects or make partial success a business policy.
Q&A
Q&AAsync is best for I/O-bound work, while threads and workers are better for CPU-bound tasks or blocking libraries.
Use async when the code is mostly waiting on IO such as database calls, HTTP requests, or message queues. Use threads or process pools for CPU-intensive work or code that cannot cooperate with the event loop. The key is matching the concurrency model to the bottleneck, not adding async everywhere because it seems modern.
Q&A
Q&ABound concurrency and queue depth at the scarce resource, and enforce an end-to-end deadline.
Use bounded connection pools, semaphores or worker queues, request deadlines, and deliberate overload responses. Local limits must account for replica count because each replica has its own pool. Avoid unbounded in-memory tasks and retries that amplify load during an incident.
Q&A
Q&ARelease owned resources in cleanup and normally propagate cancellation after cleanup.
Cancellation is delivered at an await point. Use finally blocks or async context managers to close resources, then re-raise CancelledError unless there is a deliberate reason to suppress it. A blocking synchronous call may not respond promptly, so keep the event loop cooperative and bound background work.
python
8 minA practical guide to request concurrency, connection pools, timeouts, and overload behavior in async Python APIs.
python
8 minFastAPI is fast, but speed is not the same as correctness. Learn where async, background jobs, and bounded concurrency matter in Python services.