kaniko VS distribution-spec

If all you need to do is build container, you can use https://github.com/GoogleContainerTools/kaniko

Kaniko for building the container images

kaniko

You should maybe look into Kaniko or use some other build tool

If you are using the docker socket just for building container images, you might want to look into kaniko. It doesn't use docker to build images. If you use the socket also for starting containers (we are actually doing that in our CI pipelines), you could think about limiting the pods Kubernetes schedules on a node (you can change the default of 110 using the kubelet config file).

Check out Kaniko for building containers https://github.com/GoogleContainerTools/kaniko . Only issue is it doesnt support windows containers.

It took less than 5 minutes to install. It quickly analysed the repo and identified easy ways to make the project more secure. Priya Wadhwa, Kaniko

I'd suggest to take a look at the Kaniko project, combined with custom container images in Lambda functions.

kaniko is a tool that allows you to build container images inside Kubernetes without the need for the Docker daemon. Effectively, it allows you to build Docker images without docker build.

Kubernetes prefers to pull containers from registries. You may be able to work around it by specifying a local image in your Kube manifest. Both https://github.com/GoogleContainerTools/kaniko and/ or https://www.devspace.sh/ may help.

Back in 2013, a little company called Docker made it really easy to start using containers to package up applications. A big key to their success was the OCI (you can learn about that here), an industry wide initiative to have standards around how we package up our applications. Because of OCI standards, we have hundreds (maybe thousands?) of tools that can be combined to manage and deploy applications. So why aren’t we using this for packaging up Notebooks and AI models as well? It would make deploying, sharing, and managing our models easier for everyone involved.

Kubernetes on the backend used to utilize docker for much of its container runtime solutions. One of the modular features of Kubernetes is the ability to utilize a Container Runtime Interface or CRI. The problem was that Docker didn't really meet the spec properly and they had to maintain a shim to translate properly. Instead users could utilize the popular containerd or cri-o runtimes. These follow the Open Container Initiative or OCI's guidelines on container formats.

OCI stands for Open Container Initiative, and its goal as an organization is to define a specification for container formats and runtime.

https://opencontainers.org/

Here is Containerfile from the repo: https://github.com/ublue-os/bazzite/blob/main/Containerfile

apko allows us to build OCI container images from .apk packages.

Flagger's load testing service can be installed via a Kustomization resource based on manifests packaged as an artifact in an Open Container Initiative (OCI) registry

CRI-O is a lightweight container runtime for Kubernetes. It is an implementation of Kubernetes CRI to use Open Container Initiative (OCI) compatible runtimes for running pods. It supports runc and Kata Containers as the container runtimes, but any OCI-compatible runtime can be integrated.

So somebody else created runj (runj is an experimental, proof-of-concept OCI-compatible runtime for FreeBSD jails.) https://github.com/samuelkarp/runj