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<rss version="2.0"><channel><title>PyVideo.org - Constance Martineau</title><link>https://pyvideo.org/</link><description></description><lastBuildDate>Sat, 21 Mar 2026 00:00:00 +0000</lastBuildDate><item><title>Airflow Beyond the Cloud: Python Workflows at the Edge</title><link>https://pyvideo.org/pycascades-2026/airflow-beyond-the-cloud-python-workflows-at-the-edge.html</link><description>&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;Apache Airflow is famous for orchestrating massive data pipelines, but what if you could also use it to orchestrate things in your physical workspace?&lt;/p&gt;
&lt;p&gt;In this talk, we'll explore how &lt;strong&gt;Airflow 3's new lightweight architecture&lt;/strong&gt; makes &lt;em&gt;micro-orchestration&lt;/em&gt; possible on resource-constrained devices. I'll demonstrate a real working system where an &lt;strong&gt;Airflow Edge Worker&lt;/strong&gt; running on a Raspberry Pi controls an &lt;strong&gt;&amp;quot;On Air&amp;quot; LED&lt;/strong&gt; that automatically lights up when a Zoom call starts. All built with standard Python and familiar Airflow patterns.&lt;/p&gt;
&lt;p&gt;What starts as a desk toy points to a bigger trend: &lt;strong&gt;orchestration breaking free from the data centre and moving closer to where work actually happens.&lt;/strong&gt; 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.&lt;/p&gt;
&lt;p&gt;Basic familiarity with Python is all you need, no prior Airflow experience required.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Constance Martineau</dc:creator><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid isPermaLink="false">tag:pyvideo.org,2026-03-21:/pycascades-2026/airflow-beyond-the-cloud-python-workflows-at-the-edge.html</guid><category>PyCascades 2026</category></item></channel></rss>