We've been chasing down similar aiohttp client creation issues (liked to ...aiobotocore usage) for months now.
It's annoying that somehow talking to S3 etc requires so much churn. We have been trying to cache session objects and the like but clearly are still missing something.
Chasing this down has also made me realize how little Python libs use `weakref`, and just will build up so many circular references. The other day I figured out Django request's session infrastructure creates a circular reference meaning that requests have to get GC'd to get cleaned up in CPython.
I have a suspicion that the 3.14 problems are heavily linked to "real" workloads being almost entirely filled with cyclical objects.
It's really fascinating to read this, since I've encountered similar memory issues in other languages (ruby, go, etc.). Debugging these issues is a pain.
Is there a way to make all this much easier to debug and to prevent memory issues in the first place? Is the abstraction level not quite right?