Airflow VS Moby

Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.

In week Two, I contributed to the Apache Airflow repository.

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.

Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring.

AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic!

I agree there are many options in this space. Two others to consider:

- https://airflow.apache.org/

- https://github.com/spotify/luigi

There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file showing up in a directory…

You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte

Having been featured in our February 2023, and January 2024 Release Radars, Moby is the original Linux Container runtime. This new version adds a bunch of changes to the Docker CLI and Moby itself with additional features. There's bug fixes and enhancements, with the main thing for users to be on the look out for containers that were created using Docker Engine 25.0.0. These containers might have duplicate MAC addresses, and thus must be recreated. The same goes for those containers created with Moby 25.0+ and with user defined MAC addresses. Read up on all these changes in the release notes.

Formlabs does this as well for their 3d printers, my earliest encounter of this was when Docker started getting popular: https://github.com/moby/moby/blob/master/pkg/namesgenerator/...

Try to use moby instead since that is the engine in Docker.

https://github.com/moby/moby

> Podman is designed to help with this by providing stronger default security settings compared to Docker. Features like rootless containers, user namespaces, and seccomp profiles, while available in Docker, aren't enabled by default and often require extra setup.

Seccomp has been enabled by default since 2015: https://github.com/moby/moby/pull/18780

It is true that Rootless isn't enabled by default but its "extra setup" can be done with a single command (`dockerd-rootless-setuptool.sh install`)

Perhaps.

Thing is, https://github.com/moby/moby/blob/670bc0a46c4ca03b75f1e72f73... is using https://github.com/mistifyio/go-zfs which features code like `out, err := zfsOutput("get", "-H", key, d.Name)` (Source: https://github.com/mistifyio/go-zfs/blob/master/zfs.go#L315) to get a single zfs property.

Somebody chose to use a library as abstraction that looks good but is implemented as a MVP (nothing wrong with that). "In the future, we hope to work directly with libzfs" should have raised an alarm somewhere, though.

AppArmor can restrict /proc and this is even used by docker: https://github.com/moby/moby/blob/master/contrib/apparmor/te...