containerdevs.com - Airflow DAGs Repository

This repository contains complex and reusable DAGs for Apache Airflow, designed with best practices for production environments.

Overview

This project is structured to support a robust Airflow implementation, including:

• DAGs: Core workflow definitions.
• Plugins: Custom operators, hooks, and sensors.
• Tests: Unit and integration tests for DAGs and plugins.
• Configuration: Environment-specific settings.
• Documentation: Detailed information about the DAGs and their usage.

Getting Started

Prerequisites

• Apache Airflow 2.x
• Python 3.8+

Installation

1. Clone this repository.
2. Copy the contents of the dags, plugins, and config directories to your Airflow environment.

Usage

Detailed usage instructions are available in the docs directory.

Contributing

Contributions are welcome! Please follow the guidelines in CONTRIBUTING.md.

License

This project is licensed under the MIT License - see the LICENSE file for details.