In Apache Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer.
This eBook provides a comprehensive guide to debugging Airflow DAGs, offering best practices and examples. You’ll learn how to:
- Create a standardized process for debugging that will help you quickly diagnose errors in your DAGs
- Identify common issues with DAGs, tasks, connections, and more
- Distinguish between Airflow-related issues and external system failures
- Conduct thorough root cause analysis for production pipelines
- Leverage the Airflow community for additional resources and support
By the end of this eBook, you’ll understand how to tackle a wide range of DAG-related challenges to ensure that your pipelines remain reliable, robust, and ready to deliver critical insights to your organization.
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