For the vast majority of docker images, the documentation only mention a super long and hard to understand “docker run” one liner.
Why nobody is placing an example docker-compose.yml in their documentation? It’s so tidy and easy to understand, also much easier to run in the future, just set and forget.
If every image had an yml to just copy, I could get it running in a few seconds, instead I have to decode the line to become an yml
I want to know if it’s just me that I’m out of touch and should use “docker run” or it’s just that an “one liner” looks much tidier in the docs. Like to say “hey just copy and paste this line to run the container. You don’t understand what it does? Who cares”
The worst are the ones that are piping directly from curl to “sudo bash”…
Of course, but the amount of overhead completely depends per container. The reason I am willing to accept the -in my experience- very small amount of overhead I typically get is that the repeatability is amazing with docker.
My first server was unRAID (freebsd, not Linux), I setup proxmox (debian with a webui) later. I took my unRAID server down for maintenance but wanted a certain service to stay up. So I copied a backup from unRAID to another server and had the service running in minutes. If it was a package, there is no guarantee that it would have been built for both OSes, both builds were the same version, or they used the same libraries.
My favorite way to extend the above is Docker Compose. I create a folder with a
docker-compose.ymlfile and I can keep EVERYTHING for that service in a single folder. unRAID doesn’t use Docker Compose in its webui. So, I try to stick to keeping things in Proxmox for ease of transfer and stuff.Makes sense! I have a bunch of services (plex, radarr, sonarr, gluetun, etc) on my media server on Armbian running as docker containers. The ease of management is just something else! My HC2 doesn’t seem to break a sweat running about a dozen containers, so the overhead can’t be too bad.
Yeah, that’s going to come completely down to the containers you’re running and the people who designed them. If the container is built on Alpine Linux, you can pretty much trust that it’s going to have barely any overhead. But if a container is built on an Ubuntu Docker image. It will have a bunch of services that probably aren’t needed in a typical docker container.
Good point. Most containers I’ve used do seem to use Alpine as a base. Found this StackOverflow post that compared native vs container performance, and containers fair really well!
It seems like that data is from 2014 as well. I’m sure the numbers would have improved in almost ten years too!