Description
Apache Airflow is famous for orchestrating massive data pipelines, but what if you could also use it to orchestrate things in your physical workspace?
In this talk, we'll explore how Airflow 3's new lightweight architecture makes micro-orchestration possible on resource-constrained devices. I'll demonstrate a real working system where an Airflow Edge Worker running on a Raspberry Pi controls an "On Air" LED that automatically lights up when a Zoom call starts. All built with standard Python and familiar Airflow patterns.
What starts as a desk toy points to a bigger trend: orchestration breaking free from the data centre and moving closer to where work actually happens. You'll walk away seeing Airflow (and Python orchestration in general) not just as a data-engineering tool, but as a bridge between the digital and physical worlds.
Basic familiarity with Python is all you need, no prior Airflow experience required.