Salesforce, Inc.

Yuriy Loukachev

Lauren Valdivia

Ana Bertran

Nicholas Roan

Xiaohong Huang

Nicholas Murray

Kyle Gilson

Anish Kanchan

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

Growing community of inventors

San Francisco, CA, United States of America

Yuriy Loukachev