I shudder when I look at the amount of pods / resources we use. Not only is it slow, but since the GIL makes python effectively single threaded, you end up inst

I shudder when I look at the amount of pods / resources we use. Not only is it slow, but since the GIL makes python effectively single threaded, you end up instead with loads of separate processes / workers in many contexts, multiplying your need for RAM. And since you can't easily just spin up some background threads, you often end up with loads of different entrypoints also complicating the deployment. At a previous company using the jvm, we used 6x t3.small instances at AWS to handle a much bigger load than what we now have 100+ pods handling in python.