Azure Integration Services Interview Prep Part 4: Application Insights, Log Analytics, Distributed Tracing, and Debugging a Broken Pipeline
Part 1 covered the messaging services. Part 2 covered orchestration. Part 3 covered how the whole pipeline gets secured. None of that matters if something breaks at 2am and there's no way to find out why. This part covers the actual toolkit for debugging and monitoring a real Azure integration pipeline, and deliberately ties every tool back to the specific services already built across Parts 1…
Part 4 of the Azure Integration Services interview preparation series delves into Application Insights, Log Analytics, distributed tracing, and debugging broken pipelines. The focus is on the toolkit for monitoring and debugging Azure integration pipelines, connecting each tool back to the services covered in Parts 1-3.
Application Insights, Azure's Application Performance Monitoring service, automatically collects telemetry from applications, capturing requests, dependencies, exceptions, and custom log messages. To activate it, install the Microsoft.ApplicationInsights.AspNetCore NuGet package in a Function App or ASP.NET Core project and call AddApplicationInsightsTelemetry with the connection string. For Logic Apps, diagnostic settings are used instead of code.
Log Analytics Workspace serves as the queryable data store for Application Insights telemetry and diagnostic logs from other Azure services. It collects telemetry from Application Insights, Function Apps, Logic Apps, Service Bus, SQL, and APIM. One workspace can receive data from multiple sources, enabling correlation across services through KQL queries. Create a Log Analytics workspace or use an existing one via Azure Portal, then point each service's diagnostic settings at the same workspace.
KQL query patterns are essential for debugging this pipeline. By using KQL in the Logs blade or Application Insights' own Logs view, you can write queries to trace a single request across all services in the Part 2 end-to-end pipeline. This eliminates the need for manual checks in separate places and provides a comprehensive view of the entire pipeline's activity.
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