Amogh Rajesh Desai

A harness humans and agents can both follow Airflow’s evolution toward a client-server architecture faced a fundamental challenge: splitting a monolithic codebase into independent distributions (airflow-core, task-sdk, providers) without triggering dependency hell.

This talk focuses on leveraging the Task State Management (AIP-103) and Enhanced Retry Policy work (AIP-105) being released in Airflow 3.3 to enable enhanced execution of long running tasks including checkpointing, sophisticated (and automated) retry policies, and intra-task observability.

Ready to contribute to Apache Airflow? In this hands-on workshop, we’ll help you jump straight into the project with real, beginner-friendly issues matched to your skills and interests.

Apache Airflow® 3 is here, bringing major improvements to data orchestration. In this keynote, core Airflow contributors will walk through key enhancements that boost flexibility, efficiency, and user experience.

Airflow v2 architecture has strong coupling between the Airflow core & the User Code running in an Airflow task. This poses barriers in security, maintenance, and adoption.

Have you ever wondered why Apache Airflow builds are asymptotically() green? That thrive for “perennial green build” is not magic, it’s the result of continuous, often unseen engineering effort within our CI/CD pipelines & dev environments.

Ready to contribute to Apache Airflow? In this hands-on workshop, you'll be expected to come prepared with your development environment already configured (Breeze installed is strongly recommended, but Codespaces works if you can't install Docker).