Root-Cause Analysis with In-Query Machine Learning in Application Insights Analytics
There are now several language constructs in Application Insights Analytics that implement machine learning algorithms.
There are now several language constructs in Application Insights Analytics that implement machine learning algorithms.
Application Insights has new tools to empower your development team to better understand how customers use your web apps.
We are excited to announce the general availabilty of Application Insights Profiler for Azure App Service.
In this post we announce the Snapshot Debugger for Azure. Using Application Insights and Visual Studio.
Starting today, Application Insights is releasing several new features and enhancements to help you monitor the performance and usage of your apps.
A little over a year ago, the Application Insights team re-introduced release annotations so that users would have the ability to correlate occurrences of app and services releases with their APM…
Imagine if you could get a dynamic, end-to-end view of your IT environment, and respond to issues as they arise.
We have integrated Application Insights into a multi-tenant service in such a way that each tenant gets its own separate performance and usage monitoring.
we are excited to announce our new version of Search Traffic Analytics, a pattern on how to structure, instrument, and monitor search queries and clicks, that will provide you with actionable insights about your search application.
We’ve upgraded Smart Detection – Failure Anomalies so that it monitors your web app’s outgoing dependencies and AJAX calls as well as incoming server requests.