https://pyvideo.org/2026-03-21T00:00:00+00:002026-03-21T00:00:00+00:002026-03-21T00:00:00+00:00Constance Martineautag:pyvideo.org,2026-03-21:/pycascades-2026/airflow-beyond-the-cloud-python-workflows-at-the-edge.html

<h3>Description</h3><p>Apache Airflow is famous for orchestrating massive data pipelines, but what if you could also use it to orchestrate things in your physical workspace?</p> <p>In this talk, we'll explore how <strong>Airflow 3's new lightweight architecture</strong> makes <em>micro-orchestration</em> possible on resource-constrained devices. I'll demonstrate a real working system where an …</p>

<h3>Description</h3><p>Apache Airflow is famous for orchestrating massive data pipelines, but what if you could also use it to orchestrate things in your physical workspace?</p> <p>In this talk, we'll explore how <strong>Airflow 3's new lightweight architecture</strong> makes <em>micro-orchestration</em> possible on resource-constrained devices. I'll demonstrate a real working system where an <strong>Airflow Edge Worker</strong> running on a Raspberry Pi controls an <strong>&quot;On Air&quot; LED</strong> that automatically lights up when a Zoom call starts. All built with standard Python and familiar Airflow patterns.</p> <p>What starts as a desk toy points to a bigger trend: <strong>orchestration breaking free from the data centre and moving closer to where work actually happens.</strong> 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.</p> <p>Basic familiarity with Python is all you need, no prior Airflow experience required.</p>