rkt VS distribution-spec

Whole quadlets are cool, this just means me miss the rkt runtime. https://github.com/rkt/rkt It integrated with systemd properly quite a while ago.

rkt (and many other container solutions) was introduced after docker was released and became popular... they even mentioned docker's shortcomings as a motivation for the project creation [0]. It had all the same problems as other replacement software: there were plenty of bugs and missing features, documentation was limited, and there are no community to help you (the announcement explicitly mentions "prototype quality release"). None of those would be fatal if it was significantly better than docker, but it was not -- it was basically the same functionality. So almost no one made the switch. It is closed now [1]

And why "rkt"? There were much better alternative container runtimes. For example Sylabs Singularity [2] -- container-as-a-file, instant mounting, etc... I wish more people knew about it.

[0] https://web.archive.org/web/20141201181834/https://coreos.co...

[1] https://github.com/rkt/rkt#warning-end-of-project-warning

[2] https://github.com/sylabs/singularity#singularityce

Think of Docker as the AWS of the container world in terms of popularity, there is another container platform called rocket (rkt) which can be considered something like Vultr in this analogy.

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