Practical KQL Queries for Azure Application Insights Troubleshooting

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A software engineer at Blue Yonder has shared a set of production-tested KQL queries for troubleshooting Azure integrations using Application Insights. The guide focuses on querying key telemetry tables — including requests, dependencies, exceptions, and traces — to quickly diagnose failures in live systems. One highlighted query filters failed HTTP requests by status code and endpoint name, helping teams pinpoint which specific operations are breaking rather than grouping unrelated errors together. Another approach uses percentile-based latency analysis instead of flat thresholds, allowing engineers to identify genuine outliers relative to each endpoint's normal behavior. The article positions these queries as practical, immediately usable tools for on-call troubleshooting rather than a general syntax introduction to KQL.

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