Service regression detection using real-time anomaly detection of application performance metrics
US10445217B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2018 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Feb 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/875
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present system uses delegates installed in remote environments to called and transmit, to a remote manager, time series metric data (or data from which metrics can be determined) in real-time. The numerical time series data is persisted, and a learned representation is generated from the data, for example by discretization. The learned representation is then clustered, the clusters are compared to new data, anomalies are determined, and deviation scores are calculated for the anomalies. The derivation scores are compared to thresholds, and results are reported through, for example, a user interface, dashboard, and/or other mechanism.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.