Configure an app or service to use Application Insights

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Microsoft Lean

Modules

• Instrument an app for monitoring
• Monitor app performance

Documentation

• Application Insights overview
• Application monitoring for Azure App Service overview
• Application Insights API for custom events and metrics

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Your team is developing a new feature for an existing Azure-based application that relies heavily on real-time data processing. The feature involves integrating multiple Azure services and third-party APIs.

You need to create a strategy to ensure that the integration of these services does not introduce any performance issues or failures. You need to design the monitoring solution to detect and address potential issues

What should you do?

• Create a single availability test in Application Insights to monitor the endpoint of the new feature.
• Deploy a custom logging solution to capture and review logs manually at the end of each day.
• Schedule nightly runs of Azure Automation runbooks to check the health of each service individually.
• Use Live Metrics in Application Insights to observe the activity of the deployed application in real-time.

Note

Option D is correct because Live Metrics provides real-time observation of the application's activity, allowing for immediate detection and response to performance issues. Option C is incorrect as nightly checks may not be sufficient for real-time data processing needs. Option A is incorrect because a single availability test does not provide comprehensive monitoring of all integrated services. Option B is incorrect as manual review of logs is not efficient for real-time monitoring and may delay the response to issues.

Monitor app performance - Training | Microsoft Learn
Analyze metrics with Azure Monitor metrics explorer - Azure Monitor | Microsoft Learn

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A development team is using Application Insights to monitor their web application deployed on Azure. They have noticed discrepancies in the reported metrics due to high telemetry volume.

You need to ensure that the reported metrics accurately reflect the application's performance without being affected by telemetry sampling.

What should you implement to achieve this goal?

• Configure Application Insights to use preaggregated standard metrics for dashboarding and real-time alerting.
• Create a custom Kusto query in Application Insights to manually aggregate log-based metrics.
• Disable all telemetry sampling in Application Insights to ensure all events are collected.
• Increase the sampling rate in Application Insights to collect more data points for log-based metrics.

Note

Preaggregated standard metrics are not affected by telemetry sampling and provide accurate real-time data, which makes them suitable for dashboarding and alerting. Increasing the sampling rate or disabling sampling altogether would increase costs and may still not provide accurate metrics due to the volume of data. Creating a custom Kusto query would require manual effort and does not address the issue of sampling affecting the metrics.

Azure Application Insights log-based metrics - Azure Monitor | Microsoft Learn
Discover log-based metrics - Training | Microsoft Learn