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SUMMARY:Advanced Observability with OpenTelemetry and Python - Anton Cacer
 es
DTSTART;TZID=Europe/Berlin:20240423T110500
DTEND;TZID=Europe/Berlin:20240423T113500
DTSTAMP:20260812T205227Z
UID:pretalx-pyconde-pydata-2024-AQ8HUM@pretalx.com
DESCRIPTION:As Python expands into serverless and cloud environments\, pop
 ularizing distributed microservice architectures\, we often face observabi
 lity challenges that impact efficiency and complicate error tracing. This 
 presentation introduces OpenTelemetry\, an emerging industry standard that
  provides a framework for tracking the performance of not just our Python 
 code\, but also other system components like databases and message queues.
  Its API and SDK integrate seamlessly with Python\, enabling a unified app
 roach to gather\, process\, and export telemetry data from various sources
  within a distributed system.\n\nWe will explore the setup and usage of Op
 enTelemetry's Python SDK through a practical scenario. The session will de
 monstrate how to convert an existing Flask microservice to use OpenTelemet
 ry\, using both automatic and manual instrumentation. Finally\, we will ex
 amine how to utilize the exported data for enhanced system monitoring.
LOCATION:B05-B06
URL:https://pretalx.com/pyconde-pydata-2024/talk/AQ8HUM/
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