Anomaly detection and root cause analysis in a multi-tenant environment
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United States of America
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Sep 10, 2024
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app pub date -
Jun 30, 2020
filing date -
Jun 30, 2020
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Abstract
System and methods are described for anomaly detection and root cause analysis in database systems, such as multi-tenant environments. In one implementation, a method comprises receiving an activity signal representative of resource utilization within a multi-tenant environment; detecting a plurality of anomalies in the activity signal; computing a priority score for each of the plurality of anomalies; correlating at least a subset of the plurality of anomalies to one or more performance metrics of the multi-tenant environment; and transmitting a remediation signal to one or more devices in the multi-tenant environment based on the correlations and the priority scores.
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