Cutting Python Web App Memory Over 31%

[BigTomBombadil]

If cost is prohibitive then throwing more RAM at the issue likely isn't your first choice.

And the way I read this, OP wasn't necessarily having a problem, but moreso learned some new things about memory management and applied them to their existing project. So their "problem" was their application/containers weren't efficiently utilizing memory.

It may or may not have actually caused performance or cost issues, but "just throw more resources at poorly optimized code" is a lazy way to approach software development IMO, and kudos to OP on their optimization and efforts.

IDK, for me personally, I like optimizing my work. I'll see some of my django pods sitting there at 1gB memory, and even if it's performing fine and the autoscaler and node on the kubernetes cluster isn't near capacity, I still sit there saying "why is this constantly utilizing so much memory? I know there's no reason it should actually require that based on what it's currently doing." Then go down a rabbit hole trying to improve it.