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Auto-Instrument Your Apps Using the OpenTelemetry Operator 

OpsVerse
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Instrumenting your apps to emit traces make them highly observable. Before the OpenTelemetry Operator for Kubernetes, we achieved quasi-auto instrumentation by pulling in client libraries for our specific programming languages into our code.
This webinar will demonstrate how the OpenTelemetry Operator enables auto-instrumentation of the app - without manually changing the code!
We will start by deploying a simple NodeJS app into Kubernetes along with a database (Python, Java, and .NET will work exactly the same). Then, by adding specific annotations to the pod, we'll show the app get automatically instrumented to emit traces.
We'll then interact with the app to see traces being sent to the OpenTelemetry Collector, which make their way to Jaeger (or whichever tracing system you have) for rich insights into your distributed system!

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8 сен 2024

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Комментарии : 6   
@PavelZagalsky
@PavelZagalsky 7 месяцев назад
Clear and succinct. Thank you very much for this video!
@DanielPradoBurgos
@DanielPradoBurgos Год назад
Amazing presentation! I'll be trying this out with our apps!
@muhamadasep4654
@muhamadasep4654 Год назад
please share kubemanifest and code please I want to try it
@alloutblitz85
@alloutblitz85 8 месяцев назад
They're actually in the slides, starting at around 19:32 :)
@sagarhm2237
@sagarhm2237 Год назад
I able to response times with out instrumentation
@Anu-uq1oq
@Anu-uq1oq Год назад
otlp-collecter files
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