Patents by Inventor Or Raz

Or Raz 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).

  • Publication number: 20240289224
    Abstract: Sources of node failures in distributed computing environments can be determined using machine learning according to some aspects described herein. For example, prior to rebooting a node in a distributed computing environment, a computing system can execute a software agent to detect a failure with respect to the node. In response to detecting the failure, the computing system can input characteristics for the node into a trained machine learning model. The computing system can receive a source of the failure with respect to the node. The computing system can then automatically execute a recovery operation for the node based on the source of the failure.
    Type: Application
    Filed: May 10, 2024
    Publication date: August 29, 2024
    Applicant: RED HAT, INC.
    Inventor: Or Raz
  • Patent number: 12013757
    Abstract: Sources of node failures in distributed computing environments can be determined using machine learning according to some aspects described herein. For example, prior to rebooting a node in a distributed computing environment, a computing system can execute a software agent to detect a failure with respect to the node. In response to detecting the failure, the computing system can input characteristics for the node into a trained machine learning model. The computing system can receive a source of the failure with respect to the node. The computing system can then automatically execute a recovery operation for the node based on the source of the failure.
    Type: Grant
    Filed: October 31, 2022
    Date of Patent: June 18, 2024
    Assignee: Red Hat, Inc.
    Inventor: Or Raz
  • Publication number: 20240143446
    Abstract: Sources of node failures in distributed computing environments can be determined using machine learning according to some aspects described herein. For example, prior to rebooting a node in a distributed computing environment, a computing system can execute a software agent to detect a failure with respect to the node. In response to detecting the failure, the computing system can input characteristics for the node into a trained machine learning model. The computing system can receive a source of the failure with respect to the node. The computing system can then automatically execute a recovery operation for the node based on the source of the failure.
    Type: Application
    Filed: October 31, 2022
    Publication date: May 2, 2024
    Inventor: Or Raz