Tracking Application Health With OpenTelemetry Metrics in .NET

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  • Опубликовано: 18 окт 2024
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    Hello everyone. My name is Marinko Spasojevic and in this video, I will show you how to use OpenTelemetry metrics to gain insight into the health and performance and even issues our applications may be experiencing.
    Metrics are one of the 3 fundamental pillars of OpenTelemetry, and they represent an aggregation of numeric data over time, providing measurements for our applications.
    As I already said, a metric is a measurement of a service or application that we capture at runtime, and aggregate over a given time period. These metrics provide insight into our applications' availability, health, and performance.
    The OpenTelemetry project provides a set of client libraries for .NET that allows us to collect metrics on measurements such as HTTP requests/responses, and memory allocation.
    LINKS MENTIONED IN THE VIDEO
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Комментарии • 7

  • @CodeMaze
    @CodeMaze  2 дня назад +1

    Thank you all for watching and for your support.
    ►► If you want to master Web API development using best practices, check out our Web API book: bit.ly/3x75ZMM
    ►► Also, to build great full-stack apps with Blazor, check out our course: bit.ly/3Pw3Y33

  • @shabanelmogy7912
    @shabanelmogy7912 2 дня назад

    Thanks

    • @CodeMaze
      @CodeMaze  День назад

      Welcome. Thank you for watching the video

  • @codeDotnet
    @codeDotnet 2 дня назад

    Thanks 🎉

    • @CodeMaze
      @CodeMaze  День назад

      You're welcome 😊

  • @olamidejames7968
    @olamidejames7968 10 часов назад

    what's the best way to run Prometheus in production, I have the opensource exe on a dedicated server but keeps shutting down after a period of time

    • @CodeMaze
      @CodeMaze  9 часов назад

      Hmmm... the best way... I can't tell, there are situations for different approaches for sure. I was talking to my team and we always ran it through Docker, generally in a Kubernetes cluster. That way it is resilient to restarts (handled by Kubernetes) and means we can have multiple instances should it be required.