Patents by Inventor Archana KATARIA

Archana KATARIA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Web service usage anomaly detection and prevention
    Patent number: 11799889
    Abstract: Certain aspects of the present disclosure provide techniques for detecting and preventing web service usage anomalies. Embodiments include forecasting, based on a model, a number of resource instances for one or more web services for a time period. Embodiments include receiving, after the time period has elapsed, a detected number of resource instances for the one or more web services for the time period. Embodiments include comparing the detected number of resource instances to the forecasted number of resource instances. Embodiments include determining, based on the comparing, a usage anomaly. Embodiments include determining an impact of the usage anomaly. Embodiments include outputting an indication of the usage anomaly and the impact of the usage anomaly.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: October 24, 2023
    Assignee: INTUIT, INC.
    Inventors: Debasish Das, Guoli Sun, Deepesh Ramachandran Vijayalekshmi, Venkatesh Ravichandran, Salil Deshmukh, Archana Kataria
  • Inference-based incident detection and reporting
    Patent number: 11651254
    Abstract: Systems and methods that may be used to provide an inference-based incident detection and reporting process. In one or more embodiments, an inference model may be used to track and analyze changes and incident data from various sources of record to quickly predict potential sources of errors and help focus in on the root cause of a software incident.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: May 16, 2023
    Assignee: INTUIT INC.
    Inventors: Archana Kataria, Sankararaman Chidambaram
  • INFERENCE-BASED INCIDENT DETECTION AND REPORTING
    Publication number: 20220012602
    Abstract: Systems and methods that may be used to provide an inference-based incident detection and reporting process. In one or more embodiments, an inference model may be used to track and analyze changes and incident data from various sources of record to quickly predict potential sources of errors and help focus in on the root cause of a software incident.
    Type: Application
    Filed: July 7, 2020
    Publication date: January 13, 2022
    Applicant: INTUIT INC.
    Inventors: Archana KATARIA, Sankararaman CHIDAMBARAM
  • WEB SERVICE USAGE ANOMALY DETECTION AND PREVENTION
    Publication number: 20210203680
    Abstract: Certain aspects of the present disclosure provide techniques for detecting and preventing web service usage anomalies. Embodiments include forecasting, based on a model, a number of resource instances for one or more web services for a time period. Embodiments include receiving, after the time period has elapsed, a detected number of resource instances for the one or more web services for the time period. Embodiments include comparing the detected number of resource instances to the forecasted number of resource instances. Embodiments include determining, based on the comparing, a usage anomaly. Embodiments include determining an impact of the usage anomaly. Embodiments include outputting an indication of the usage anomaly and the impact of the usage anomaly.
    Type: Application
    Filed: December 31, 2019
    Publication date: July 1, 2021
    Inventors: Debasish DAS, Guoli SUN, Deepesh Ramachandran VIJAYALEKSHMI, Venkatesh RAVICHANDRAN, Salil DESHMUKH, Archana KATARIA