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Apple keeps flogging 8GB of RAM for its Mac computers but it's still a dead horse (www.pcgamer.com)

submitted 8 months ago by [email protected] to c/[email protected]

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[–] [email protected] 1 points 7 months ago (1 children)

I'd appreciate hearing your thoughts about this medium article describing the use of Lima VM for docker on MacOS.

https://medium.com/@guillem.riera/the-most-performant-docker-setup-on-macos-apple-silicon-m1-m2-m3-for-x64-amd64-compatibility-da5100e2557d

[–] sugar_in_your_tea 1 points 7 months ago

A couple things to start:

I don't need x86 compatibility - we run native aarch64 on M-series Macs, and x86 on older Intel macs; prod is x86, but we're considering moving to aarch64
our app is more memory intensive than CPU intensive - basically a bunch of Python microservices

That said, after some research into colima, it looks like it wins on I/O. So if you workload is relatively heavy on I/O, then it's probably worth trying out.

My issue is memory. I just need so many Python interpreters running Flask, FastAPI, and Django (we use all three). On macOS, I need to reserve the memory for the VM, which means I need to balance how much I can run vs what other stuff I want to run on my system. On Linux, there is no VM, so I benefit from all of the disk caching that the kernel does and can get a much better experience, even when running a lot of services (most of those services are idle most of the time).

So switching to colima probably wouldn't solve my problem, but maybe it would solve yours.