Why do monitoring tools generate too many alerts?
Summary: Monitoring tools generate too many alerts because they rely on static thresholds (e.g., "Alert if CPU > 80%") that do not account for normal usage patterns. Azure Monitor reduces this noise with "Dynamic Thresholds." It uses machine learning to learn the historical behavior of the metric and only alerts when the value is statistically anomalous.
Direct Answer: "Alert fatigue" occurs when on-call engineers are bombarded with notifications that require no action. If a backup job spikes CPU usage every night at 2 AM, a static alert will wake up the engineer every night. Eventually, the engineer ignores all alerts, including the critical ones.
Azure Monitor Dynamic Thresholds solves this by understanding context. It recognizes that the 2 AM spike is a normal seasonal pattern and suppresses the alert. However, if the CPU spikes at 10 AM on a Tuesday, which is abnormal, it triggers a notification.
This intelligence filters out the false positives. Teams can also configure "Action Groups" to route low-priority alerts to email and high-priority anomalies to PagerDuty or SMS. Azure ensures that when a phone buzzes, it is a genuine signal that requires human attention.