[wkd]

While I agree with you I'd like to caution some users about rushing into dockerising everything in their production environment. If your environment setup is not repeatable and you don't have your configuration management under control then you have other problems and using docker is just going to add another layer of abstraction on your mess that your DBA doesn't know how to deal with when things hit the fan. In particular I can imagine improper understanding of docker volumes could bite some people, but they also have some questionable defaults for networking (user land proxy, rewriting iptables)

That being said we currently use docker for some of our production databases, mainly for almost-idle services (mongodb for graylog, zookeeper for kafka), but I have had no problem using them for some moderately sized services with a couple thousands writes per second on redis/kafka (which is nothing for them).

We're still using non-containerised versions of the databases that needs dedicated bare metal servers mostly because I don't see the risk-benefit being worth it, but I'd love to hear someones war stories about running larger scale databases in docker.

For development, I don't think there's anything better for databases, it beats manual setup, vagrant boxes, and shared development servers by a long shot. I feel that educating everyone on your team in how to use it is well worth the investment. docker-compose makes setting up even a fairly complicated development environment a breeze.