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Anomaly Detection

AI-powered anomaly detection

Dynatrace AI detects statistically significant deviations from normal behavior and prioritizes them by customer impact, with no manual threshold configuration required.

Static thresholds can't keep up with dynamic environments

In cloud-native environments, "normal" changes by the minute. Dynatrace AI learns your environment continuously and alerts only when something genuinely warrants attention, with no manual threshold tuning required.

  • No manual threshold
    configuration

    Dynatrace autogenerates baselines for every component automatically and adjusts them as your environment changes.

  • Alerts that reflect customer
    impact

    Not every anomaly is serious. Dynatrace AI determines whether a deviation has actual or potential impact on customers before notifying your team.

  • Built for dynamic
    environments

    Containers, microservices, and multi-cloud architectures are handled natively, with no static rules to maintain.

A deterministic AI-powered approach to anomaly detectio

From dynamic baselining to predictive analytics, here is how Dynatrace detects what matters and ignores what does not.

DYNAMIC ENVIRONMENTS

Anomaly detection built for cloud-native complexity

Traditional static threshold alerting breaks down in environments where "normal" changes constantly. Dynatrace uses real-time topology awareness, multidimensional baselining, and dynamic dependency detection to identify anomalies based on what your system is doing, not what someone configured months ago.

PROBLEM PRIORITIZATION

Focus on problems that affect customers, not alert noise

Dynatrace AI automatically classifies anomalies by severity and customer impact, so your team sees fewer, more meaningful notifications. Problem detection is based on 100% of customer transactions, not averages or samples, so nothing that matters gets missed.

SMART BASELINING

Detect anomalies and predict problems before they occur

Dynatrace learns your application traffic patterns and raises alerts when a statistically relevant deviation is detected, including a quantified customer impact and root cause insight. Predictive analytics also forecast upcoming traffic levels and seasonal patterns, catching issues before they escalate.

With Dynatrace, we have shortened the time to identify and solve performance problems by 60%, and have achieved 100% application performance visualization.
Yunpeng Qiao Senior Manager, Global Application Operation, Lenovo

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Dynatrace AI detects statistically significant deviations from normal behavior and prioritizes them by customer impact, with no manual threshold configuration required.
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