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Analyze Application Insights Using Kusto Query Language (KQL)

In this lab, you will learn how to use Kusto Query Language (KQL) in Application Insights to analyze an Azure App Service application’s performance. You’ll enable Application Insights on an existing web app, generate traffic to capture telemetry, and then run a series of KQL queries in the Logs interface. These queries will provide insights into request counts, response codes, and average request durations, helping you understand your site’s traffic patterns and pinpoint potential performance issues.

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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 45m
Published
Clock icon Mar 17, 2025

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Table of Contents

  1. Challenge

    Enable Application Insights and Generate Traffic

    Enable Application Insights in our App Services application, then generate sample traffic on our website to capture.

  2. Challenge

    Submit KQL Queries in Application Insights

    Enter several KQL queries to get insights on the performance of our website.

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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