Patents Assigned to OPSRAMP, INC.
  • Publication number: 20230133541
    Abstract: Alert correlation helps reduce the number of alerts that IT staff have to act upon. Methods include a computer program product that applies a machine driven deep learning model to effectively correlate alerts caused by a common root cause. The methods of correlation provide the user the context of the root cause for the alerts. Therefore, it helps the user to quickly identify, understand and resolve the problem thereby reducing the mean time to identification and resolution. Alerts caused by the same root cause therefor come together.
    Type: Application
    Filed: August 25, 2022
    Publication date: May 4, 2023
    Applicant: OPSRAMP, INC.
    Inventors: Jiayi Gu HOFFMAN, Mahesh RAMACHANDRAN, Bhanu Pratap SINGH
  • Publication number: 20210243069
    Abstract: Alert correlation plays an important role in IT event management. It helps reduce the number of alerts that IT staff have to act upon. The disclosure describes a method, a computer program product that applies a machine driven deep learning model to effectively correlate alerts caused by a common root cause. In addition, this method of correlation provides the user the context of the root cause. Therefore, it helps the user to quickly identify, understand and resolve the problem thereby reducing the mean time to identification and resolution. Alerts that are caused by the same root cause therefor come together. In the machine learning world, language sequence models are doing very well on learning the sequence patterns between words. For example, the machine can learn the subtle difference between choice of words and the order of words in order to fake a person's writing.
    Type: Application
    Filed: May 18, 2020
    Publication date: August 5, 2021
    Applicant: OPSRAMP, INC.
    Inventors: Jiayi Gu HOFFMAN, Mahesh RAMACHANDRAN, Bhanu Pratap SINGH