That's about how much it cost my company to move the flagship off of z/OS. That kept the language (Cobol) and DB2 intact (moved to DB2LUW); just a new build target basically.
It took like 5 or 6 years and that $10M represents the cost of only 10 months of operations on Z.
"you're either with me or you're against me" is an indicator for a bad decision being forced upon you, often by a bad person. Best to just disregard and move on.
Fork on Linux should use copy-on-write vmpages now, so if you fork inside python it should be cheap. If you launch a new Python process from let's say the shell, and it's already in the buffer cache, then you should only have to pay the startup CPU cost of the interpreter, since the IO should be satisfied from buffer cache...
I just replaced my HP z800 from 2008 because it was holding it's own with the addition of a few ssd's and an RX580 GPU over the years. Went from 6c12t Xeon to 16c32t (R9950x) and 7900xt.
Performance just hasn't out paced people's needs in the last 15 years the way it used to...
It sounds like the view of some person with zero experience in the real world of professional software engineering. My experience is the opposite. The USA has a very diverse software workforce.
It's not at all a mental illness. That's ignorant.
Some of the most technically adept people I know are on the spectrum and they are incredibly valuable. We're talking Chief architects, lead/senior engineers, Network engineers, and the list goes on.
People like that probably have divergent neurochemistry compared to you.
Learn to leverage that asset and stop being a Karen.
I've used o365 copilot to analyze a COBOL app I had source code to, and it was great at explaining how the code worked. Made writing an interface to it a breeze with some sample code and I swear I am not a COBOL person, I'm just the Linux guy trying to help a buddy out...
It also does a reasonable job of generating working COBOL. I had to fix up just a few errors in the data definitions as the llm generated badly sized data members, but it was pretty smooth. Much smoother than my experiences with llm's and Python. What a crap shoot Python is with llm's...