BruSwain

This is definitely a take.

I thought there was a name for this(cant find it), but its not just devs, its most people with a deep technical expertise.

I remember watching a youtube video about this, where they used Neil deGrasse Tyson as a case study. Showing cases of him confidently saying wrong things in fields he's not very knowledgeable in.

I think k8s has a learning curve, absolutely, and there are absolutely cases where it can be unnecessary overhead. But I actually think those cases are pretty small. If you're running multiple apps, k8s is valuable. There is initial investment in learning the system, but its v-extensible, flexible, & portable. (Yes, every hyperscaler's implementation of k8s has its own nuance in certain places, but the core concept of k8s translates very well)

If you are out of the magnetosphere, wouldn't your data be subject to way more cosmic ray interference, to the point that its actually a consideration?