Introducing Apache Airflow® 2.9

Airflow 2.9 has been released with over 35 exciting new features, over 70 improvements, and more than 30 bug fixes, building on trends and requests from the community, including enhancements to data-aware scheduling and dynamic task mapping, which are leveraged by over 40% of Airflow users for common use cases like ETL and MLOps. The release introduces advanced options for scheduling DAGs on datasets with conditional expressions, revamped UI for an intuitive dataset experience, object storage support for datasets, custom task instance names, and object storage updates, including scalable and efficient inter-task communication. Additionally, there are numerous user interface improvements, such as a new task duration page, collapsible sections in task logs, and a button to clear only failed tasks. The release is available for free with a 14-day trial of Astro, offering same-day support for all new Airflow releases.

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