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UID:pretalx-pycascades-2026-KVCQQE@pretalx.com
DTSTART;TZID=PST:20260321T151500
DTEND;TZID=PST:20260321T154000
DESCRIPTION:Apache Airflow is famous for orchestrating massive data pipelin
 es\, but what if you could also use it to orchestrate things in your physi
 cal workspace?\n\nIn this talk\, we'll explore how **Airflow 3's new light
 weight architecture** makes *micro-orchestration* possible on resource-con
 strained devices. I'll demonstrate a real working system where an **Airflo
 w Edge Worker** running on a Raspberry Pi controls an **"On Air" LED** tha
 t automatically lights up when a Zoom call starts. All built with standard
  Python and familiar Airflow patterns.\n\nWhat 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 A
 irflow (and Python orchestration in general) not just as a data-engineerin
 g tool\, but as a bridge between the digital and physical worlds. \n\nBasi
 c familiarity with Python is all you need\, no prior Airflow experience re
 quired.
DTSTAMP:20260521T093256Z
LOCATION:Fletcher Auditorium
SUMMARY:Airflow Beyond the Cloud: Python Workflows at the Edge - Constance 
 Martineau
URL:https://pretalx.com/pycascades-2026/talk/KVCQQE/
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