BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2024//talk//XPXYWD
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-europython-2024-XPXYWD@programme.europython.eu
DTSTART;TZID=CET:20240712T123000
DTEND;TZID=CET:20240712T130000
DESCRIPTION:In the evolving landscape of serverless and cloud technologies\
 , Python stands out as a key player for building microservices. Yet\, as t
 hese systems grow\, tracking their performance and catching bugs become in
 creasingly complex.\n\nThis presentation introduces OpenTelemetry\, a risi
 ng standard that equips us with tools to monitor not just Python code but 
 also vital components like databases and message queues. It's designed to 
 blend seamlessly with Python\, offering a unified method to collect\, proc
 ess\, and share telemetry data across different parts of a distributed sys
 tem.\n\nThis talk starts by discussing the importance of observability in 
 modern distributed environments. Then\, we'll dive into OpenTelemetry\, fo
 cusing on its Python SDK's basics. We'll walk through a hands-on example\,
  showing how to integrate OpenTelemetry into a Python project for automate
 d and manual tracking.\n\nFinally\, we'll explore how to leverage the insi
 ghts gained from OpenTelemetry for more effective system monitoring\, ensu
 ring smoother operation and easier troubleshooting.
DTSTAMP:20260513T161358Z
LOCATION:North Hall
SUMMARY:Python Observability Perfected: Advanced Techniques with OpenTeleme
 try - Anton Caceres
URL:https://programme.europython.eu/europython-2024/talk/XPXYWD/
END:VEVENT
END:VCALENDAR
