Service provider instance recommendations using machine-learned classifications and reconciliation
US11715051B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2019 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Dec 19, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example method includes collecting, at a computing system of a data intake and query system, source data corresponding to an instance of a service hosted by a service provider, wherein the service provider hosts the service on a network of the service provider, identifying in the source data a set of metrics for the instance of the service, applying a machine learning model to the set of metrics to determine a classification for the set of metrics, generating, using the classification, a recommendation, wherein the recommendation relates to usage by the instance of the service of one or more physical resources of the service provider, and transmitting, for receipt by a client device, data comprising the recommendation, wherein the data enables display on the client device of a visualization comprising the recommendation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.