Question

Your team runs a customer-facing web API instrumented with Application Insights. Leadership wants to be automatically notified when the failure rate of the API rises abnormally compared to its typical baseline, without manually defining static numeric thresholds that would need constant tuning as traffic patterns change throughout the day. You must configure this with the least ongoing maintenance. What should you use?

Accepted Answer

Application Insights Smart Detection (failure anomalies) to detect abnormal rises in the failure rate using machine learning against the historical baseline

Answer

A static metric alert rule in Azure Monitor on the 'Failed requests' metric with a fixed threshold of 50 failures over 5 minutes

Answer

A scheduled log query alert that runs a KQL query every hour counting exceptions and emails the team a summary

Answer

A Container Insights alert on pod restart count in the AKS cluster hosting the API