| 10:30-11:00 |
From Chaos to Control: Navigating Airflow Sprawl with Centralized Observabilityby Jon Hiett |
| 11:00-11:30 |
Stop Debugging in Production: Shift-Left Airflow for Streaming Pipelines with AIby Sean Anderson |
| 11:30-12:00 |
From Data Pipelines to Business Outcomes: Unifying Airflow and Enterprise Workflowsby Minh Nguyen & Stoney Gwitira |
| 12:00-12:30 |
How We Taught an Agent Airflow: Building Self-Healing Pipelines with Ottoby Stephanie Niu & Christine Shen |
| 13:30-14:00 |
UX to manage Dags to Assets to Agents - The evolution of the Airflow UIby Brent Bovenzi & Pierre Jeambrun |
| 14:00-14:30 |
Managed Workflow for Apache Airflow (MWAA): Latest and Greatest!by Aritra Ghosh & Jen Dunham |
| 14:30-15:00 |
Apache Airflow, AI Agents and Iby Rafal Biegacz, Michal Modras & Piotr Wieczorek |
| 15:00-15:30 |
Reliability Patterns from Large-Scale Distributed Systems — and What They Mean for Your DAGsby Tejas Pravinbhai Patel |
| 16:00-16:30 |
A SQL Query is Just a DAG: Building an SQL Engine on Apache Airflowby Hussein Awala |
| 16:30-17:00 |
When Airflow Meets Yunikorn: Enhancing Airflow on Kubernetes with Yunikorn for Higher Efficiencyby Xiaodong Deng |
| 17:00-17:30 |
Orchestrating GenAI & ML Pipelines with Apache Airflowby Sneha Rao, Sushmita Barthakur & Suba Palanisamy |
| 17:30-18:00 |
Airflow 3 as a Dungeon Master: Orchestrating a Text Adventureby Jed Cunningham |