We've been impacted by this. I migrated our services to Python 3.14 so we could attach profilers during runtime.

A couple of services looked like they had a memory leak. Memory was continuously increasing over time. Thanks to Python 3.14, we were able to use memray to understand what was going on. Those services were recreating HTTP clients (aiohttp) for every inbound request, and memory allocated by the downstream SSL lib was growing faster than it was being released.

We ended up rolling back to 3.13, which fixed the issue. I'll try again with 3.14.5.