MWAA Serverless takes the managed Airflow experience a significant leap forward - eliminating even more operational overhead and allowing teams to focus purely on building and running their workflows. In this session, we’ll explore what makes MWAA Serverless different from MWAA Provisioned, including its auto-scaling compute, pay-per-use pricing model, and zero-infrastructure management, and provide practical guidance on when to choose each option. We’ll also cover the latest enhancements across the MWAA platform. Whether you’re running complex multi-team data pipelines or looking for the simplest path to production Airflow, this session will help you choose the right MWAA deployment model for your workloads. Finally, we’ll dive into Airflow 3.3 and the latest contributions from the MWAA open-source team, including the highly anticipated multi-team support, Deadline Alerts, and upcoming S3 DAG Bundle Versioning. These enhancements demonstrate Amazon’s continued investment in making Apache Airflow more accessible and scalable for the Airflow community.
Aritra Ghosh
Senior Product Manager, Amazon
Jen Dunham
AWS Data & Analytics GTM