Earlier quoted context omitted.
> using it for anything less than dozens of machines is overkill The question isn't really whether you need dozens of machines, it's whether you can foresee eventually maybe needing dozens of machines. Remember the bad old days when people said that relational databases were worthless because they "don't scale", that using Mongo and other NoSQL databases were practically a necessity for doing anything modern and "web…
You don't really need to jump into Kubernetes to be prepared to eventually migrate to it. As long as you're using some kind of compatible containerization platform it is not incredibly hard to shift those workloads to Kubernetes. If you're really only needing to run a small handful of containers, running them directly in Docker or rkt isn't challenging and has very little operational overhead compared to running a fu…
Personally I really like Docker Compose files - virtually no overhead to maintain alongside a handful of Dockerfiles coupled with really simple syntax for expressing the relationships between them. Containers themselves seems conceptually challenging for some newcomers in my experience (concepts like image immutability etc don't have many similar analogues I'd argue if you are new to containers, and I've seen some very experienced developers get stuck trying to map them conceptually to VM images which is not a good fit), but the payoff in the ease of deploying your work is huge. It's nothing a reasonable developer can't learn in a few hours though, and the documentation is pretty good.
I especially find Docker great for projects I worked on years ago - I no longer really need to keep track of how to install/configure the side project I haven't touched in age's software dependencies, just hit 'docker-compose up' and I'm running.
I also really like Docker-Compose as a replacement for things like Vagrant scripts to create developer environments in some scenarios - way less overhead than a vagrant script spinning up multiple VMs on your laptop, and generally much faster deployments.