No matter how well you author your Airflow Dags, eventually a task will fail, often due to circumstances beyond your control.
In this webinar, we’ll share a practical framework for failure recovery: when to retry automatically, page the right team, or let an AI agent take the first pass at investigating and fixing the issue.
Join us to learn:
- How to use the new Airflow 3.3 pluggable retry policies to make retry decisions based on exceptions and other Dag run information
- Your options for alerting in Airflow, from callbacks to Astro alerts, to data product SLAs
- How to automatically investigate and fix Dag failures with Otto, Astronomer’s data engineering agent
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