concurrency

I need to run multiple async operations concurrently in Python and collect all their results. Some operations may fail and I want to handle errors per-task. I'm using Python 3.11+ and want to use the ...

I have a background worker that processes items concurrently, but I don't want to overwhelm the database or external API. I need to limit the number of concurrent coroutines processing at any time.

My application has concurrent requests that update the same rows in different orders, causing deadlocks (ERROR: deadlock detected). I need to understand why deadlocks happen and how to prevent them in...

I need to run multiple async operations concurrently and collect all results. I want to handle cases where some may fail independently and need Python 3.11+ structured concurrency approach.

I have concurrent reads and writes and am seeing unexpected behavior: dirty reads, non-repeatable reads, or phantom rows. I need to understand PostgreSQL isolation levels and when to use each.

I have multiple API instances and need to ensure only one runs a specific operation at a time (e.g., leaderboard rebuild, scheduled job). I need a distributed mutex without adding a separate locking s...

Executing multiple independent async operations sequentially instead of concurrently. Using `asyncio.gather()` but need better error handling when one task fails, gather continues other tasks even on ...

Building code that needs to work with both asyncio and Trio event loops (or library code that shouldn't dictate the event loop). Also need nursery-style task cancellation that TaskGroup provides but w...

Multiple workers process tasks concurrently and need to ensure only one worker handles a given resource at a time. Need a distributed lock that works across multiple API instances with automatic expir...

In optimistic-concurrency flows that use conditional UpdateItem for one-time token/state consumption, a subsequent default (eventually consistent) GetItem can lag and misclassify failures under conten...