Patent ID: 11921612
Assignee: ORACLE INTERNATIONAL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of operating a computer system to identify computer performance anomalies for individual user computer services based on Key Performance Indicators (KPIs), the method comprising:
physical databases hosting logical databases, generating physical database KPIs, and converting the physical database KPIs into logical database KPI vectors for the individual user computer services;
physical application servers hosting logical application servers, generating physical application server KPIs, and converting the physical application server KPIs into logical application server KPI vectors for the individual user computer services;
physical web servers hosting logical web servers, generating physical web server KPIs, and converting the physical web server KPIs into logical web server KPI vectors for the individual user computer services; and
a physical KPI server combining the logical database KPI vectors, the logical application server KPI vectors, and the logical web server KPI vectors into user service KPI vectors for the individual user computer services, detecting outlier ones of the user service KPI vectors, storing vector patterns of the outlier ones of the user service KPI vectors, and detecting individual ones of the computer performance anomalies for ones of the individual user computer services based on matching the user service KPI vectors corresponding to the individual ones of the computer performance anomalies to the vector patterns of the outlier ones of the user service KPI vectors,
wherein detecting the outlier ones of the user service KPI vectors comprises evaluating the user service KPI vectors by a machine learning model trained to detect outlier user service KPI vectors from a library of normal and non-anomalous KPI vectors, and wherein the outlier ones of the user service KPI vectors are correlated to the individual ones of the computer performance anomalies for the individual user computer services.