Salesforce Com, Inc.

Salesforce, Inc.

Xiaohong Huang

Lauren Valdivia

Ana Bertran

Sudhish Iyer

Daisuke Kawamoto

Nicholas Murray

Dmitry Volkov

Nicholas Roan

Kyle Gilson

Anish Kanchan

Yuriy Loukachev

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.

Anomaly detection and root cause analysis in a multi-tenant environment

Among other things, embodiments of the present disclosure relate to detecting performance degradation in database systems. For example, some embodiments of the present disclosure help to identify events associated with anomalous database system parameter states and assess the severity of such anomalous events. Other embodiments may be described and/or claimed.

Database system performance degradation detection

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San Francisco, CA, United States of America

Xiaohong Huang