Comments (8)
There are plenty of how-to's out there on building cross platform images, but here's how I do it to build python based images (FROM python) for my PC and Raspberry Pi in one go on my Windows 10 machine:
You first need to enable docker buildx (experimental CLI). Check docker documentation on how to do that for your platform.
docker buildx create --name rpibuilder
docker buildx use rpibuilder
docker buildx inspect --bootstrap
docker buildx build --platform linux/amd64,linux/arm/v7 -t <imagename>:<tag> <path to dockerfile> --push
docker buildx imagetools inspect <imagename>:<tag>
The last line is just to check if all went well.
Hope this helps!
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Oh nice. Will try to add it to github action deploy pipeline.
from docker-host.
just released qoomon/docker-host:latest
and qoomon/docker-host:2.4.2
to dockerhub for following platforms
- linux/amd64
- linux/arm/v7
- linux/arm64
from docker-host.
How to?
from docker-host.
like this https://www.docker.com/blog/getting-started-with-docker-for-arm-on-linux/?
from docker-host.
I guess yes. The other approach might be to use an ARM container in travis for building, but I don't know how the tagging is done then in order to get a result like this: https://hub.docker.com/_/alpine?tab=tags
Unfortunately, I don't have experience with deploying Docker images or building for other architectures.
My current solution is to just build your image directly on ARM and that works fine. So at least I can confirm there are no architecture-specific changes necessary.
from docker-host.
enable experimental features is easy as export DOCKER_CLI_EXPERIMENTAL=enabled
:-D
from docker-host.
If you have Docker Desktop, just go to settings -> command line and set "Enable experimental features" to on.
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from docker-host.