Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow version 3.2, the latest major release of the popular open-source workflow orchestration framework. Amazon MWAA is a managed service that lets you run Apache Airflow at scale without managing the underlying infrastructure. This release brings new data-aware scheduling capabilities and developer productivity improvements to teams building and operating data pipelines on AWS.
With Apache Airflow 3.2, you can now use asset partitioning to trigger downstream DAGs based on specific slices of data, such as a date-partitioned S3 path, rather than an entire asset, giving data engineering teams more precise control over pipeline execution. This release also expands Human-in-the-Loop (HITL) capabilities with a full audit history view for approvals, HITL support for the AgenticOperator, and synchronous callback support for Deadline Alerts. Additional improvements include Grid View virtualization for faster rendering of large DAGs, full XCom management from the Airflow UI, and async callable support in PythonOperator..
You can launch a new Apache Airflow 3.2 environment on Amazon MWAA, or upgrade from 2.11 or later, with just a few clicks in the AWS Management Console in all currently supported Amazon MWAA regions. To learn more about Apache Airflow 3.2 visit the Amazon MWAA documentation, and the Apache Airflow 3.2 change log in the Apache Airflow documentation. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
Quelle: aws.amazon.com
Amazon MWAA now supports Apache Airflow 3.2
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