Scaling to 1,000 DAGs: Idelic's Blueprint for Airflow Automation and Reliability

This session details Idelic’s critical journey to a robust, scaled Astronomer Airflow environment. We’ll share technical lessons from overcoming initial orchestration challenges and successfully scaling to over 1,000 active DAGs. The session will showcase our advanced, Jenkins-integrated testing deployment for managing this scale, and the development of a standardized framework that simplifies DAG creation, eliminates code repetition, and enables configuration changes without a full deployment. This is essential for any team managing complex data pipelines, offering a blueprint for standardized Airflow development, maximum data reliability, and future growth at a large scale.