[KronisLV]

> Back when we had Jenkins slaves, one of our devops guys set a pipeline up that pip installed different versions over the top of system packages causing weird intermittent failures everywhere.

Not everyone might like containers, but using them for CI seems like a good way to avoid situations like this, at least when viable (e.g. web development). You get to choose what container images you need for your build, do whatever is necessary inside of them and they're essentially thrown away after once you're done with what you need to do, cache aside. They also don't have any significant impact or dependencies on the system configuration either, as long as you have some sort of a supported container runtime.

[kkielhofner]

Second containers (however controversial they may otherwise be). The official python Alpine container is < 20mb and the slim Debian variants are < 45mb. For many of my Python projects I end up needing to install various system dependency libs like CUDA, libav, libsndfile, etc. I tend to be a "fan" of containers generally and containers seem like the best way to handle situations like mine.