Python asyncio can really screw up your runtime performance if you use it poorly. And it's _really_ easy to use poorly.
Consider a FastAPI server using asyncio instead of threading. _Any_ time you drop down into a synchrononous API, you better be sure that you're not doing anything slow. For example, encoding or decoding JSON in Python actually grabs the GIL depending on what library you're using, and then you have no hope of releasing control back to asyncio.
Python asyncio can really screw up your runtime performance if you use it poorly. And it's _really_ easy to use poorly.
Consider a FastAPI server using asyncio instead of threading. _Any_ time you drop down into a synchrononous API, you better be sure that you're not doing anything slow. For example, encoding or decoding JSON in Python actually grabs the GIL depending on what library you're using, and then you have no hope of releasing control back to asyncio.