Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace version 1.198 introduces auto-adaptive baselines for both built-in and custom metrics, enhancing root cause analysis and alerting by dynamically adjusting to changing metric behaviors over time, thus reducing false-positive alerts. Unlike static thresholds, these baselines learn and adapt based on historical data, making them particularly effective in dynamic cloud environments where manual analysis is not feasible. Auto-adaptive baselines extend beyond application performance metrics to include infrastructure and cloud metrics, offering a more comprehensive monitoring strategy. The system uses a sliding evaluation window and signal fluctuations to fine-tune alert sensitivity and integrates seamlessly with the Dynatrace environment, requiring no additional licenses. This development allows users to leverage AI-powered analysis more effectively, providing deeper insights into metric fluctuations and enhancing the reliability of monitoring systems.

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