Best practices for debugging your Airflow Dags

Apache Airflow® is an extremely flexible and powerful tool, capable of orchestrating almost any complex workflow touching a myriad of tools. But with all that flexibility and complexity, it can be difficult to know what to do if something goes wrong and you need to debug your pipelines.

Join this webinar to learn a systematic approach for fixing pipeline failures and how to future proof your Dags to make them more reliable and easier to debug.

You’ll learn:

• How to debug the most common Airflow issues
• The most important reliability best practices, from retries, to Dag validation tests, to proper CICD for your pipelines
• How observability can aid you in quickly debugging across complex data dependencies