Question

A cloud operations team monitors a customer-facing API whose traffic varies significantly by time of day and day of week. Static threshold alerts on request latency generate misses during low-traffic periods (real spikes go unnoticed) and false alarms during known peak hours. Which monitoring approach best improves alert accuracy across these varying traffic patterns?

Accepted Answer

Enable anomaly-detection (dynamic baseline) alerting that learns normal patterns over time and alerts on statistically significant deviations

Answer

Raise the static latency threshold to a higher fixed value so peak-hour traffic no longer triggers alerts

Answer

Reduce the alert evaluation period to one minute so alerts fire faster during any latency increase

Answer

Disable latency alerting during peak hours and rely on manual dashboard checks instead