This webinar provides an overview of how to easily and effectively debug your Airflow DAGs when an error inevitably occurs. We cover everything from setting up a local environment for iterative development, to debugging DAG and task issues, to identifying issues with your Airflow infrastructure.

Questions covered in this session include:

• What do I do if my local AIrflow instance won’t start?
• What is the easiest way to implement local testing for Airflow DAGs?
• How do I find my task and scheduler logs, and what do I do if my logs aren’t showing up?
• Where can I get additional help and how do I file an issue in Airflow if I encounter a bug?

All of the code shown in this webinar can be found in this repo. Additional resources mentioned include:

• Debugging DAGs
• Test Airflow DAGs
• DAG scheduling and timetables in Airflow
• Airflow logging
• Astro CLI command reference
• Airflow CLI command reference
• Airflow Config reference
• AirflowException reference
• Example Airflow GitHub issue