Azure Monitor-Application Insights

Welcome to the Azure Application Insights UserVoice site. This site is for suggestions and ideas for all aspects of Application Insights such as our SDKs, Web tests, Analytics, etc. We look forward to hearing from you!

The Application Insights team

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  1. 1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  2. Have the ability to display metrics associated with requests/dependencies onto the Application map

    I am adding some of our own metrics to the requests and dependencies for our application. i.e. Things like num deals booked, KiB processed etc...

    It would be very cool to see these on the application map, perhaps floating nearby the associated components/links.

    This would probably need to be configurable to avoid information overflow.

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    0 comments  ·  Metrics & charting  ·  Flag idea as inappropriate…  ·  Admin →

    Thanks for the valid suggestion. Your feedback is now open for the user community to upvote which allows us to effectively prioritize your request against our existing feature backlog and also gives us insight into the potential impact of implementing the suggested feature.

  3. Usage Blades (Users, Sessions, Events, etc., etc.) usable across App Insights Resources

    Even though I can create Analytics queries across multiple AI resources, I do not have a way to view information across AI resources in a view like the blades in the Usage section. I would really, really like to be able to use these blades across AI resources, not unlike the way that the Transaction view automatically spans AI resources when looking at telemetry.

    Our system is composed of 30+ different ASP.NET applications and one SaaS non-.NET site that users interact with as if it were a single system. We have all pieces of it instrumented with App Insights, each…

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    0 comments  ·  Usage Analytics  ·  Flag idea as inappropriate…  ·  Admin →

    Thanks for the valid suggestion. Your feedback is now open for the user community to upvote which allows us to effectively prioritize your request against our existing feature backlog and also gives us insight into the potential impact of implementing the suggested feature

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