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

Airflow Committer and Sales Engineer at Astronomer