Amazon MWAA, a managed orchestration service for Apache Airflow, now offers Provisioned environments in the Mexico (Central) Region, allowing customers to run workflows closer to data sources and end users.
Amazon MWAA integrates with the Agent Toolkit for AWS to provide built-in AI agent skills for authoring, debugging, testing, and upgrading MWAA workflows.
Amazon MWAA Serverless is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West). It automates Apache Airflow infrastructure management and scales compute resources on demand with a pay-per-use model.
Amazon MWAA now features a built-in monitoring experience with a CloudWatch metrics dashboard and alarms table, plus one-click creation of recommended alarms
Amazon MWAA Serverless allows users to run custom Python functions and shell scripts directly in the serverless runtime using PythonOperator and BashOperator.
Amazon SageMaker Unified Studio Workflows adds 19 new operators for Amazon Bedrock, S3 Tables, S3 Vectors, AWS Glue Data Catalog, and Amazon MWAA Serverless, allowing users to orchestrate these services visually without custom integration code.
Amazon SageMaker Unified Studio adds support for connecting existing Amazon MWAA environments, allowing data engineers and platform teams to manage Airflow workflows from the same interface used for analytics and machine learning.
Amazon MWAA Serverless now correctly validates subnet ownership in shared VPC configurations, enabling workflow creation in member accounts using shared subnets via AWS RAM.
Amazon MWAA Serverless can now emit workflow and task state change events to Amazon EventBridge, enabling event-driven automation for Apache Airflow workflows
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