Service regression detection using real-time anomaly detection of log data
US11086919B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Jun 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present system provides continuous delivery and service regression detection in real time based on log data. The log data is clustered based on textual and contextual similarity and can serve as an indicator for the behavior of a service or application. The clusters can be augmented with the frequency distribution of its occurrences bucketed at a temporal level. Collectively, the textual and contextual similarity clusters serve as a strong signature (e.g., learned representation) of the current service date and a strong indicator for predicting future behavior. Machine learning techniques are used to generate a signature from log data to represent the current state and predict the future behavior of the service at any instant in time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.