airflow-dag-artifact

Airflow Dag Artifact versioning and alias Management for blue/green, canary deployment, and roll back for production failure.

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Development Status
- 4 - Beta
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- Developers
License
- OSI Approved :: MIT License
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- English
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Programming Language

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Welcome to airflow_dag_artifact Documentation

A lot of serverless AWS Service supports versioning and alias for deployment. It made the blue / green deployment, canary deployment and rolling back super easy.

However, Airflow DAG does not support this feature yet. This library provides a way to manage Airflow DAG versioning and alias so you can deploy Airflow DAG with confidence.

Please read this tutorial to learn how to use this library.

It also has native AWS MWAA support for DAG deployment automation, with the DAG versioning manage, which is not official supported by Apache Airflow. Please read this example to learn how to use this library with AWS MWAA.

Install

airflow_dag_artifact is released on PyPI, so all you need is to:

$ pip install airflow-dag-artifact

To upgrade to latest version:

$ pip install --upgrade airflow-dag-artifact

Project details

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
Programming Language

Release history Release notifications | RSS feed

This version

0.2.1

Jul 13, 2023

0.1.1

Jul 12, 2023

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