Amazon MWAA best practices for managing Python dependencies
Big Data Blog
This article discusses best practices for managing Python dependencies in Amazon Managed Workflows for Apache Airflow (Amazon MWAA).
Specifically, the article covers:
- Specifying package versions in requirements.txt to ensure consistency across environments
- Using constraints files for compatibility with specific Apache Airflow versions
- Creating a .zip archive of all dependencies for local installation
- Testing the requirements.txt file and dependencies using the MWAA local runner
- Deploying the requirements.txt and dependencies to a non-production Amazon MWAA environment for further testing
- The article provides a step-by-step solution overview demonstrating these best practices
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