From Javascript errors to HTML errors, plugins, CDN issues, and SSL websites are prone to multiple errors. Websites have a lot of technologies behind them that can go wrong. Why do websites need an anomaly detection system? The AI and ML engine also predicts future trends based on these observations. Based on these insights, it identifies when there is a deviation from the observed behavior and notifies you about it. The AI and ML engine studies behavior over a prescribed period to understand regular patterns. How does AI and ML help in anomaly detection? It is critical in areas where anomalies are less likely to happen and when recurring patterns are not easy to monitor without proper anomaly and threshold-based alerting in place. With IT monitoring, anomaly detection is when a metric behaves differently when compared to how it generally behaves or how it behaved in the past.Īnomaly detection takes into account seasonal trends including certain times of day, days of the week, and months of the year during which any deviation from the norm is typical. It could be an indication of a technical glitch or a potential loophole for attacks. What is anomaly detection?Īnomaly detection is the process of identifying any deviation from normal behavior. Anomalies could be a sudden spike in website traffic, a steep rise in application response time, or a slowed-down website connection. In terms of monitoring, an anomaly is a significant deviation from how a metric usually behaves or behaved in the past. Anomalies can occur in databases and servers. It is a data point that differs from other observations. Anomaly Detection FAQ What are anomalies?Īn anomaly is something that deviates from the norm.
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