swarm-cronjob VS Airflow

Anything from simple crontab entry to something like this: https://crazymax.dev/swarm-cronjob/

So, I found a really nice little tool that solves a problem I have in a really nice way. Specifically, cron jobs on Docker Swarm. This project: https://github.com/crazy-max/swarm-cronjob It uses labels on your services to schedule jobs. Thus it needs access to the docker api, and all the security concerns that go along with it...

As i said, if it's not exposed to the outside world and doesn't work with untrusted data, that claim is not entirely valid.

Imagine something like this getting abandoned, or someone running a year old version of it: https://github.com/crazy-max/swarm-cronjob/blob/master/READM...

Its only job is to run containers on a particular schedule, no more no less. There are very few attack vectors for something like that, considering that it doesn't talk to the outside world, nor processes any user input data.

Then again, it's not my job to pass judgement on situations like that, merely acknowledge that they exist and therefore the consequences of those suddenly breaking cannot be ignored.

I also found swarm-cronjob and ofelia both seems promising. BUT , I really like the idea of an interface to watch log files etc.

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