workstation VS batect

I am on a similar journey

I built https://github.com/mikadosoftware/workstation

I actually do do this - https://github.com/mikadosoftware/workstation

I like the idea of using k8s as suggested upthread. I just have not had much time to push changes / work on it recently. One thing worth thinking about is i have moved to podman - seems a lot slower to start up but is user space which seems sensibke

https://batect.dev/ this is like Act but agnostic and public

If you're dockerizing a dev environment check out batect, it's kind of like the combo of docker-compose + make (i.e. simple script running) that is really the tool we all just want: https://batect.dev/ It can easily define one-off container tasks like integration test runs with just a couple lines of config.

Earlier this year at $DAYJOB I was on a project to uplift the deployment pipelines and DevOps capabilities within the team. Today we have full Continuous Deployment, Trunk Based Development, and SlackOps. I've written a couple of articles below on the approach we took which was around heavy use of Docker and the tool Batect.

Go the next step and run a local kubernetes cluster with kind or k3s (it will take you 30 seconds to have a k8s cluster going). IMHO the kubectl CLI is a lot more logical than docker's CLI. You can create all your local storage volumes ahead of time, create a pod that attaches to it, and then just kubectl exec into the pod vs. writing a long fiddly docker command line string (or crafting a docker-compose.yml). It's easy to adjust the pod as necessary while it runs too, like adding a service to expose ports without rerunning the container.

But if you do like the idea of docker dev environemnts, check out a tool like batect: https://github.com/batect/batect It's somewhat like if docker-compose had make-like commands you could define. Your whole dev environment and workflow can be defined in a simple yaml config that anyone can use.