Home icon

Automated tag-based DAG permission management in Amazon MWAA

Big Data Blog



This article explains how to automate DAG permission management in Amazon MWAA using Apache Airflow tags, eliminating manual role-based access control configuration.

  • Tag-based system automatically assigns DAG permissions based on Airflow tags without manual configuration
  • IAM roles map to Airflow roles; users authenticate via IAM and receive corresponding permissions
  • Scheduled DAG scans active DAGs for permission tags and updates RBAC metadata automatically
  • Supports granular permissions: can_read, can_edit, can_delete per role and DAG
  • Reduces operational overhead, human error, and scales to 500+ DAGs without performance degradation
  • Requires Amazon MWAA 2.7.2+, custom roles created manually in Airflow UI with Viewer permissions
  • Solution includes parameterized SQL queries preventing injection, comprehensive troubleshooting guide

This approach streamlines permission management at scale while maintaining security through least-privilege principles and audit logging.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Apr 22
2024
Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA
Sep 3
2024
Using attribute-based access control for tag-based access authorization with Amazon DynamoDB
Feb 28
2024
Introducing Amazon MWAA support for Apache Airflow version 2.8.1
Apr 29
2025
Best practices for least privilege configuration in Amazon MWAA

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.