Amazon Managed Workflows for Apache Airflow (MWAA) now offers a serverless deployment option that eliminates the operational overhead of managing Apache Airflow environments while optimizing costs through true serverless scaling. This new offering addresses key challenges that data engineers and DevOps teams face when orchestrating workflows: operational scalability, cost optimization, and access management.
Amazon MWAA Serverless provides seamless workflow orchestration with automatic resource provisioning and scaling. You can define workflows using either YAML configurations or Python-based DAGs, with support for over 80 AWS Operators from Apache Airflow v3.0. Each workflow runs in isolation with distinct AWS Identity and Access Management (IAM) permissions, ensuring secure access to AWS services and data. The service handles all infrastructure scaling automatically, with you paying only for the actual compute time used during task execution.
Amazon MWAA Serverless is available in 15 AWS regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Ireland), Europe (Stockholm), Europe (Frankfurt), Europe (London), Europe (Paris), South America (Sao Paulo), US East (N. Virginia), US East (Ohio), and US West (Oregon). To learn more about Amazon MWAA Serverless and supported AWS Operators, visit the Amazon MWAA Serverless documentation and the Amazon MWAA Serverless Launch Blog.
Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
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Source: Amazon Web Services
