Watch the recording
Most Airflow mistakes don't hurt on day one. They run fine with a handful of Dags, then quietly compound. Six months and a few hundred Dags later, they surface as a strained scheduler, a bloated metadata database, and backfills that fail when you need them most.
In this webinar, we will walk through the five Airflow mistakes we see most often in the field, and how you can fix each one before it compounds.
You'll learn how to:
- Spot the anti-patterns that quietly break pipelines at scale
- Fix the most common reliability, idempotency, and resource issues
- Keep Airflow fast, stable, and cost-efficient as you grow
