openJDK-docker VS Airflow

Install OpenJDK and Java Runtime Environment (JRE) 11

Reloading is nothing new under the sun for Lisp, I believe. For ML and adequate reload-ability, one might be hard pressed, but it's nothing new under the Sun (hint, hint). Maybe too on the nose, but one probably wants good inlining, and thus more "speculative" de/optimisation to preserve redefinition.

If they don't want Oracle's Java, why can't they use a subset of OpenJDK (licensing noob here)?

I think they use a circular queue of functions that is each executed for around 100 ms. I am guessing the system timer is used to generate an interrupt that pauses execution of the current function and starts executing the next function. Apple's Java code is probably closed source. I did find mention of an openjdk here: https://openjdk.java.net. I haven't looked at the source code yet.

https://openjdk.java.net

$ yum info java-1.8.0-openjdk Available Packages Name : java-1.8.0-openjdk Arch : x86_64 Epoch : 1 Version : 1.8.0.322.b06 Release : 1.el7_9 Size : 314 k Repo : updates/7/x86_64 Summary : OpenJDK 8 Runtime Environment URL : http://openjdk.java.net/ License : ASL 1.1 and ASL 2.0 and BSD and BSD with advertising and GPL+ and GPLv2 and GPLv2 with : exceptions and IJG and LGPLv2+ and MIT and MPLv2.0 and Public Domain and W3C and zlib Description : The OpenJDK 8 runtime environment.

For the rest: -+ PIP3 & Python scripts: export REQUESTS_CA_BUNDLE=/path/to/your/certificate.pem python script.py -+ JAVA =java -D'javax.net.ssl.trustStore'="/opt/site/cacerts.JKS" .....= https://serverfault.com/questions/636612/preserve-imported-ca-certificates-through-java-upgrades/636882 https://github.com/docker-library/openjdk/issues/327 -+ Windows server https://docs.microsoft.com/en-us/troubleshoot/windows-server/identity/valid-root-ca-certificates-untrusted certutil .. root fg.cer

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