Issue: Increased CPU and Memory Overhead with Uvicorn Multi-Processing

[jahnavisana2812]

We were previously using Gunicorn with Uvicorn workers for our application. Recently, we decided to shift to using Uvicorn directly, due to improvements in Uvicorn.

However, while Gunicorn used to spawn 5 sub-processes for handling requests, Uvicorn now creates 5 multiprocessing spawn processes using Python's multiprocessing library. This results in noticeable CPU and memory overhead, which we didn't experience with Gunicorn workers.

When running Uvicorn with a single worker, the overhead is not present, but increasing the worker count leads to the issue. I have attached screenshots of our monitoring data, which clearly show the difference in resource usage between configurations.

Is this behavior expected with Uvicorn, or is there a possible fix for reducing the overhead in future updates? Any guidance or suggestions would be appreciated.

Python version:3.11.9
Uvicorn version:0.30.6
With default worker=1

with workers=5

[nikhil-weamai]

same issue I m facing with higher memory usages

[theyashl]

You can check the associated issue thread #2466 if it helps.