Amazon Managed Workflows for Apache Airflow and Glue Workflows
Amazon Managed Workflows for Apache Airflow (MWAA) and AWS Glue Workflows serve as orchestration layers for complex data pipelines. MWAA is ideal for intricate workflows with multiple dependencies and cross-service interactions, while Glue Workflows provide a simpler, serverless option for Glue-native tasks. Both services require careful selection based on workflow complexity and operational needs. Effective troubleshooting involves monitoring logs in CloudWatch to identify common issues such as resource exhaustion and permission errors. Together, these tools enhance the management of AWS data pipelines, facilitating efficient orchestration and error handling.
When data pipelines grow beyond simple event-driven triggers into multi-step workflows with branching logic, retries, and cross-service dependencies, you need a dedicated orchestration layer. The AWS Certified Data Engineer – Associate exam tests your ability to select and troubleshoot the right managed orchestration service for a given scenario. This lesson covers two critical services, Amazon Managed Workflows for Apache Airflow (MWAA) and AWS Glue Workflows, and equips you with the decision framework and troubleshooting strategies that the exam demands.
In the previous lesson, you explored Amazon EventBridge as a reactive, event-driven trigger mechanism. EventBridge excels at responding to individual events, but it was never designed to manage complex directed acyclic graphs in which dozens of tasks depend on one another, require conditional branching, or need backfill capabilities. That gap is precisely where Amazon MWAA and Glue Workflows fit.
Consider a real-world migration scenario. An organization runs Apache Airflow on-premises to orchestrate ETL dependencies across EMR clusters and S3 data lakes. Managing the Airflow scheduler, metadata database, and worker nodes consumes significant engineering effort. Migrating to Amazon MWAA eliminates that operational overhead while preserving full Airflow compatibility. If the pipeline is strictly Glue-centric, AWS Glue Workflows provides an even simpler, serverless alternative.
By the end of this lesson, you will be able to build workflows with both MWAA and Glue Workflows, select the correct service based on scenario requirements, and troubleshoot common failures in managed orchestration environments.
Amazon MWAA architecture and DAG management
Amazon MWAA is a fully managed Apache Airflow service that provisions and operates the Airflow scheduler, worker fleet, and web server entirely within your VPC. You never patch, scale, or maintain the underlying infrastructure because AWS handles it.
Deployment model and configuration
The deployment model centers on an S3 bucket that stores your directed acyclic graph (DAG) files, custom plugins, and requirements.txt for Python dependencies. MWAA automatically syncs DAG definitions from this bucket into the running environment. You choose between public network mode, where the Airflow web UI is accessible over the internet, and private network mode, which restricts access to your VPC through VPC endpoints.
Several configuration parameters appear frequently on the exam: ...