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In reality, a core part of data engineering is managing failures. This spans proactively designing pipelines that are adaptable when something goes sideways, and responding to failures when they inevitably do occur.
Apache Airflow® 3.3 is coming this July, and the headlining features were implemented specifically to make Airflow more resilient and to make managing failures easier. This applies whether your data pipelines are orchestrating agents, or running core ETL workflows.
In this webinar, we’ll cover everything you need to know about what’s in version 3.3, including:
- How new key features like Task State Management and Pluggable Retries make your Dags more efficient.
- Important updates to existing features like asset partitions and the Airflow UI.
- Other improvements, bug fixes, and upgrading tips so you can get the most out of 3.3.
Whether you're running Airflow 3.0 or earlier versions, this session will prepare you to take advantage of what 3.3 offers.
dbt is a registered trademark of dbt Labs. Astronomer and Cosmos are not affiliated with dbt Labs.

