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UID:pretalx-pyconde-pydata-2026-U9KQU9@pretalx.com
DTSTART;TZID=CET:20260414T171000
DTEND;TZID=CET:20260414T174000
DESCRIPTION:In the daily work of a data engineer\, building new data pipeli
 nes often takes priority\, while maintaining them and ensuring their corre
 ctness becomes an afterthought. This focus can quickly turn into a pitfall
 : failures go undetected\, incorrect data silently propagates\, and compla
 ints from stakeholders arrive before engineers notice any issues. In pract
 ice\, incorporating observability into every new data pipeline helps avoid
  these problems and enables teams to steadily increase system complexity w
 hile maintaining trust and peace of mind.\n\nIn this talk\, I introduce ob
 servability in the context of data pipelines\, covering its three core pil
 lars: metrics\, alarms\, and logs. We will explore concepts like the four 
 golden signals\, alarm fatigue and structured logging and how they apply t
 o data pipelines. I will show easy to implement first steps and share real
 -world experiences\, where improved observability helped uncover previousl
 y unknown incorrect behavior and build trust in data systems.\n\nThis talk
  is well suited for data engineers that had little exposure to observabili
 ty and want to learn about strategies how to keep sane while managing a ju
 ngle of pipelines.
DTSTAMP:20260523T180009Z
LOCATION:Titanium [2nd Floor]
SUMMARY:Building Trust in Your Data Pipelines with Observability - Stefan D
 ienst
URL:https://pretalx.com/pyconde-pydata-2026/talk/U9KQU9/
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