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TZID:Asia/Hong_Kong
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DTSTART:20231117T000000
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SUMMARY:Operate with Confidence -- OpenTelemetry in Python - Alex Au
DTSTART;TZID=Asia/Hong_Kong:20241116T144000
DTEND;TZID=Asia/Hong_Kong:20241116T151000
DTSTAMP:20260817T113429Z
UID:pretalx-pyconhk2024-9HHTWK@pretalx.com
DESCRIPTION:In this era of microservices\, the '3 Pillars of  System Obser
 vability'\, a.k.a. **logging**\, **metrics monitoring** and **traffic trac
 ing** are pivotal in giving developers quick feedbacks on the **performanc
 e** and **behaviour** of their application. With good observability practi
 ces\, not only developers can understand the bottleneck and stability of t
 heir app\, they can even be benefited from faster iteration cycle due to r
 eliable feedback loops.\n\nIn this talk\, the usage of **OpenTelemetry** p
 ackage\, a well-known open-source Observability stack\, in Python will be 
 addressed. OpenTelemetry is a **vendor-** and **tool-agnostic**\, Observab
 ility stack integrating with a broad variety of Observability backends\, i
 ncluding open source tools like **Jaeger** and **Prometheus**\, as well as
  commercial offerings. \n\nWith the introduction of usage of OpenTelemetry
  in Python\, it is hoped that users have more **understanding on the '3 Pi
 llars of System Observability'**\, **actively and confidently monitor** th
 eir Python workloads\, and define a **suitable and meaningful Service Leve
 l Objective (SLO)** for their program.
LOCATION:LT8
URL:https://pretalx.com/pyconhk2024/talk/9HHTWK/
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