Introducing AI-Assisted Migrations with Otto: Your Airflow Expert for the Translation Work that Stalls Every Project

Organizations' AI initiatives rely on modern data pipelines, prompting many to migrate from outdated orchestration tools like Control-M and AutoSys to Apache Airflow, which supports dynamic, event-driven workflows essential for AI. However, these migrations often stall due to the complexity of converting legacy systems to Airflow's format and the rarity of expertise in both systems. Otto, Astronomer's data engineering agent, addresses this by incorporating Astronomer's extensive knowledge of Airflow best practices, enabling smoother and more efficient migrations. Otto ensures that the converted Dags are optimized for specific environments, retaining institutional knowledge and conventions for future use. It supports migrations from various schedulers and Airflow environments, providing a deterministic and traceable output that aligns with the source job definitions. By storing migration patterns and conventions in Otto Memory, organizations can maintain a context layer for future tasks, enhancing operational efficiency across the data pipeline lifecycle. Otto is now available for early access, offering organizations a structured plan for transitioning to managed Airflow environments like Astro, which alleviates the operational burdens associated with self-managed Airflow.