Image Transcription: Meme
A photo of an opened semi-trailer unloading a cargo van, with the cargo van rear door open revealing an even smaller blue smart car inside, with each vehicle captioned as “macOS”, “Linux VM” and “Docker” respectively in decreasing font size. Onlookers in the foreground of the photo gawk as a worker opens each vehicle door, revealing a scene like that of russian dolls.
I’m a human volunteer content transcriber and you could be too!
Just need to put a JIT compiled language logo inside the blue car and caption it as “Containerise once, ship anywhere”.
Hoping somebody organizes a /c/TranscribersOfLemmy or /m/TranscribersOfKbin
Good human
Not just OSX: anyone using WSL on windows is an offender too
But as a WSL user, dockerised Dev environments are pretty incredible to have running on a windows machine.
Does it required 64 gig of ram to run all my projects? Yes. Was it worth it? Also yes
I’m even worse, I have used wsl in a windows vm on my mac before haha
And use that to virtualize Android, to go even further beyond
But why lol
Sweet Jesus
My experience using docker on windows has been pretty awful, it would randomly become completely unresponsive, sometimes taking 100% CPU in the process. Couldn’t stop it without restarting my computer. Tried reinstalling and various things, still no help. Only found a GitHub issue with hundreds of comments but no working workarounds/solutions.
When it does work it still manages to feel… fragile, although maybe that’s just because of my experience with it breaking.
I found the same thing until I started strictly controlling the resources each container could consume, and also changing to a much beefier machine. Running a single project with a few images were fine, but more than that and the WSL connection would randomly crash or become unresponsive.
Databases in particular you need to watch: left unchecked they will absolutely hog RAM.
I work in a windows environment at work and my VMs regularly flag the infrastructure firewalls. So WSL is my easiest way to at least be able to partially work in my environment of choice.
I’ve used WSL to run deepspeed before because inexplicably microsoft didn’t develop it for their own platform…
Don’t forget the ARM64 to AMD64 conversion.
This was one of the reasons we switched to docker in the first place. Our Devs with M series processors spent weeks detangling issues with libraries that weren’t compatible.
Just started using Docker and all of those issues went away
When I was in school I once used a IOS emulator running inside a docker container of MacOS running on a linux machine. It works surprisingly smoothly.
The difference between Docker and a VM is that Docker shares a kernel, but provides isolated processes and filesystems. macOS has a very distinct kernel from Linux (hence why Docker on macOS uses a Linux VM), I would be shocked if it could run on a Linux Docker host. Maybe you were running macOS in a VM?
Nope, Mac OS as a Docker container, it’s a thing: https://hub.docker.com/r/sickcodes/docker-osx
Also you don’t need a Linux VM to run docker containers on a Mac host btw
TIL, good to know!
The first layer in that docker container is actually KVM. So you run the container to run kvm, which then emulates osx.
- bdonvr ( @bdonvr@thelemmy.club ) English9•1 year ago
Now add
dind
We’re reaching levels of containerization that shouldn’t even be possible!
Add a JVM just for the hell of it
And of course, all of the above installed via Homebrew for extra recursion
Time to check out Podman.
Podman does the same. Podman runs fedora.
reminds me of a russian doll
I would not be surprised to learn this photo was taken in Russia.
it’s like an automotive turducken
At least it’s UNIX all the way down.
Now run a KinD cluster inside that, with containers running inside the worker containers.
I mean I have Debian running an Ubuntu VM running docker. It’s VMs all the way down baby
I’ve run a VM on Proxmox which was running in VirtualBox on my Linix desktop to try out Proxmox and see if I could.
Yo dawg
Add the JVM on here too for my Scala-writing self.