Apache Airflow is the go-to tool for data and engineering teams of all sizes, but large companies like Uber, Ford, LinkedIn, Apple, and Robinhood must orchestrate hundreds of thousands of tasks on Airflow every day.
At this massive scale, getting Airflow to run efficiently and reliably is no small feat.
Join Astronomer's Airflow experts tomorrow to learn how bottlenecks & suboptimal developer efficiency can be avoided while scaling Airflow.
Learn how teams:
• Optimize Airflow resources and configurations for large workloads
• Automate the management of Airflow deployments and users
• Monitor the health of Airflow deployments with observability & alerting
