Where do you stop short? I'm conflicted. I sometimes look at Docker and am like "this is great", but I also sometimes look at a plethora of Dockerfiles and I'm like... what are we doing wrong? Do you, for instance, Dockerize small Python tools (or similar)? How well does this work?

I remember one project where we had tons of small Pipenv projects and one pain was that a few were Python 3.5 and a few others were Python 3.6. I guess Dockerizing these would have mitigated the pain but honestly I am a complete Docker n00b and wouldn't know how to go about setting this up in a way that wouldn't cause more pain and another layer of abstraction.

Any tips? Reference material, etc?

> we had tons of small Pipenv projects and one pain was that a few were Python 3.5 and a few others were Python 3.6

Isn't pipenv supposed to take care of that? You pipenv run the tool and it's automatically executed in the right virtual environment.

You can't set it up without the Python binary you want already being on the machine which may be a hassle if you are chasing "latest" and you have machines in your ecosystem that run old stuff, for instance, Jenkins nodes.

You'd have to combine it with pyenv to allow for multiple interpreters and automatic switching between them.