By
Ryan Hatter
Airflow 3 brings several exciting new features that better support MLOps:
- Native, intuitive backfills
- Removal of the unique execution date for dag runs
- Native support for event-driven scheduling
These features, combined with the Airflow AI SDK, enable dag authors to easily build scalable, maintainable, and performant LLMOps pipelines.
In this talk, we’ll go through a series of workflows that use the Airflow AI SDK to empower Astronomer’s support staff to more quickly resolve problems faced by Astronomer’s customers.
Ryan Hatter
Senior Airflow Engineer at Astronomer