Azure Monitor Smart Detection: Autonomous Telemetry Anomaly Alerts

Smart Detection applies statistical & ML analysis to App Insights telemetry to surface unusual failure, performance, and usage patterns.

Core Features

• Outlier Modeling: Baselines normal request/exception patterns.
• Contextual Alert Payloads: Suspected root cause dimensions (endpoint, dependency).
• Noise Reduction: Aggregated anomaly notices vs. raw metric flood.

Maintenance Use Cases

• Early detection of regressions after releases.
• Performance degradation and resource leak identification.

Integrations

• Azure Monitor / App Insights portals, alert routing to Teams, DevOps.

Adoption Indicators

• Widely enabled across millions of Azure-instrumented apps.

Best For

• DevOps/SRE teams seeking turnkey anomaly detection.

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