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Some people seem to hate on it, but I love Docker, it works well for what it has to do and has relatively low overhead as far as I can tell. I personally virtualize a Debian server on Proxmox for my containers just so as to keep everything even more compartmentalized, but it takes more work than it's worth to set up.
And if you don't like Docker for whatever reason, you can also try Podman which is API compatible with Docker for the most part.
i use it for gitea, nextcloud, redis, postgres, and a few rest servers and love it!, super easy
it can suck for things like homelab stablediffusion and things that require gpu or other hardware.
postgres
I never use it for databases. I find I don't gain much from containerizing it, because the interesting and difficult bits of customizing and tayloring a database to your needs are on the data file system or in kernel parameters, not in the database binaries themselves. On most distributions it's trivial to install the binaries for postgres/mariadb or whatnot.
Databases are usually fairly resource intensive too, so you'd want a separate VM for it anyway.
There are teachings I have read/ discovered through YouTube (can't remember exactly where) about the reasons and the philosophy behind moving to docker, or having it as a state machine.
Have you considered looking into dockers alternatives, also ?
Here is 1 of the sources that may give you insights:
https://www.cloudzero.com/blog/docker-alternatives/
-- There has been some concerns over docker's licensing and, as such, some people have started preferring solutions such as podman and containerd.
Both are good in terms of compatibility and usability, however I have not used them extensively.
Nonetheless, I am currently using docker for my own hyperserver [Edit2: oops, I meant hypervisor ✓, not hyperserver] purposes. And I am also a little concerned about the future of docker, and would consider changing sometime in the future.
[Edit1: I am using docker because it is easy to make custom machines, with all files configurations, and deploy them that way. It is a time saver. But performance wise, I would not recommend it for major machines that contain major machine processes and services. And that's just the gist of it].