The evolution of Airflow has reached a milestone with the introduction of remote execution in Airflow 3, enabling flexible orchestration across distributed environments.
In this episode, Jens Scheffler, Test Execution Cluster Technical Architect at Bosch, shares insights on how his team’s need for large-scale, cross-environment testing influenced the development of the Edge Executor and shaped this major release.
Key Takeaways:
(02:39) The role of remote execution in supporting large-scale testing needs.
(04:44) How community support contributed to the Edge Executor’s development.
(08:41) Navigating network and infrastructure limitations within secure environments.
(13:25) Transitioning from database-heavy processes to an API-driven model.
(14:16) How the new task SDK in Airflow 3 improves distributed task execution.
(16:54) What is required to set up and configure the Edge Executor.
(19:36) Managing multiple queues to optimize tasks across different environments.
(23:30) Examples of extreme distance use cases for edge execution.
Resources Mentioned:
https://www.linkedin.com/in/jens-scheffler/
Bosch | LinkedIn
https://www.linkedin.com/company/bosch/
Bosch | Website
https://www.bosch.com/
https://airflow.apache.org/
Edge Executor (Edge3 Provider Package)
https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/executor/index.html
https://www.astronomer.io/docs/astro/astro-executor/
https://astronomer.io/beyond/dataflowcast
Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning