What is Anomaly Detection?
Anomaly Detection The automated identification of abnormal patterns, outliers, or deviations from expected behavior in monitored metrics, logs, or events, indicating potential incidents or performance issues.
Source: ITIL v4, AWS Well-Architected Framework, Kubernetes Documentation, CNCF
How is “Anomaly Detection” Used in Practice?
Real-time anomaly detection in CPU usage alerts operators to suspicious spikes and potential security threats.
Certification Exam Relevance
Who Needs to Know This Term?
- DevOps Engineers
- SREs
- Platform Engineers
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What is Anomaly Detection?
The automated identification of abnormal patterns, outliers, or deviations from expected behavior in monitored metrics, logs, or events, indicating potential incidents or performance issues.
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