Metric events: Set up anomaly detection based on your business needs

Dynatrace Davis® AI offers automatic analysis of IT infrastructure, identifying abnormal situations, their impact, and root causes while supporting various observability use cases without needing configuration. The introduction of "metric events" allows for domain-specific customization, enabling users to observe metrics, select appropriate monitoring strategies, and create event triggers for anomalies. Davis processes billions of events to autonomously detect and analyze root causes, but businesses can tailor it to detect critical anomalies relevant to them. The system features two anomaly detectors: the metric key for monitoring raw data with static thresholds, and the metric selector for analyzing historical data with strategies like auto-adaptive thresholds. Users can configure and preview alert settings, adjust the sensitivity of alerts, and customize event messages with contextual information. Dynatrace version 1.253 will automatically enable these features across SaaS environments, encouraging user feedback for continuous improvement.