Patents by Inventor Laura Ann Zuchlewski

Laura Ann Zuchlewski 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: 20240037464
    Abstract: An incident that requires a resolution responsive to an event detected in a managed information technology environment is triggered. An incident type is obtained for the incident, where the incident type is selected from a set that includes a rare type, a novel type, and a frequent type. Responsive to determining that the incident is of the rare type or the frequent type, a list of recommended responders to address the incident is generated using a machine-learning model. Responsive to determining that the incident is of the novel type, a list of recommended responders to address the incident is generated based on a seniority level of responders. A selection of one of the recommended responders is received. The one of the recommended responders is associated with the incident.
    Type: Application
    Filed: July 29, 2022
    Publication date: February 1, 2024
    Inventors: Sanghamitra Goswami, Laura Ann Zuchlewski
  • Publication number: 20230385135
    Abstract: Pausing alert notifications includes determining that an alert is likely transient responsive to identifying, based on data in a rolling table, that 1) a first number of most recently resolved alerts that are similar to the alert is greater than a predetermined minimum number and 2) at least a predetermined second number of the most recently resolved alerts that are similar to the alert were transient. Responsive to determining that the alert is likely transient, transmission of a notification associated with the alert is withheld during a pause period. A determination is made as to whether the alert is unresolved after a lapse of the pause period. Responsive to determining that the alert is unresolved after the lapse of the pause period, a responder is notified of the alert.
    Type: Application
    Filed: August 14, 2023
    Publication date: November 30, 2023
    Inventors: Laura Ann Zuchlewski, Irena Grabovitch - Zuyev, Shaheen Bundhoo
  • Patent number: 11768720
    Abstract: Pausing alert notifications includes triggering an alert responsive to an event in a managed environment. A normalized title is obtained from a title of the alert. Using the normalized title, it is determined whether the alert is of a likely transient type, where the alert is of the likely transient type when it is predicted to resolve without human intervention. A transmission of notifications for the alert during a pause period is withheld responsive to determining that the alert is the likely transient type. A notification for the alert is transmitted to a responder responsive to determining that the alert is unresolved after the pause period.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: September 26, 2023
    Assignee: PagerDuty, Inc.
    Inventors: Laura Ann Zuchlewski, Irena Grabovitch-Zuyev, Shaheen Bundhoo
  • Publication number: 20230106027
    Abstract: An incident that requires a resolution responsive to an event detected in a managed information technology environment is triggered. A masked title is obtained from a title of the incident. Using the masked title, a title template is obtained for the incident. Using the title template, an incident type is obtained for the incident, where the incident type is selected from a set that includes a rare type, a novel type, and a frequent type. Responsive to determining that the incident is of the rare type or the novel type, an output of the incident is prioritized so as to focus an attention of a responder on the incident; and, responsive to determining that the incident is of the frequent type, a runbook of tasks associated with the title template is automatically executed.
    Type: Application
    Filed: September 28, 2021
    Publication date: April 6, 2023
    Inventors: Nigel Antony Knott, Vijay Shankar Venkataraman, Laura Ann Zuchlewski
  • Publication number: 20230105150
    Abstract: Pausing alert notifications includes triggering an alert responsive to an event in a managed environment. A normalized title is obtained from a title of the alert. Using the normalized title, it is determined whether the alert is of a likely transient type, where the alert is of the likely transient type when it is predicted to resolve without human intervention. A transmission of notifications for the alert during a pause period is withheld responsive to determining that the alert is the likely transient type. A notification for the alert is transmitted to a responder responsive to determining that the alert is unresolved after the pause period.
    Type: Application
    Filed: September 29, 2021
    Publication date: April 6, 2023
    Inventors: Laura Ann Zuchlewski, Irena Grabovitch-Zuyev, Shaheen Bundhoo
  • Publication number: 20220036264
    Abstract: Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
    Type: Application
    Filed: October 18, 2021
    Publication date: February 3, 2022
    Inventors: Justin David Kearns, Ophir Ronen, Laura Ann Zuchlewski
  • Patent number: 11151502
    Abstract: Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: October 19, 2021
    Assignee: PagerDuty, Inc.
    Inventors: Justin David Kearns, Ophir Ronen, Laura Ann Zuchlewski
  • Publication number: 20180285798
    Abstract: Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
    Type: Application
    Filed: November 6, 2017
    Publication date: October 4, 2018
    Inventors: Justin David Kearns, Ophir Ronen, Laura Ann Zuchlewski
  • Patent number: 9811795
    Abstract: Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: November 7, 2017
    Assignee: PagerDuty, Inc.
    Inventors: Justin David Kearns, Ophir Ronen, Laura Ann Zuchlewski
  • Patent number: 9582781
    Abstract: Embodiments are directed to managing operations. If Operations events are provided, event clusters may be associated with one or more Operations events, such that the Operations events may be associated with the event clusters based on characteristics of the Operations events. Metrics including resolution metrics, root cause analysis, notes, and other remediation information may be associated with the event clusters. Then a modeling engine may be employed to train models based on the Operations events, the event clusters, and the resolution metrics, such that the trained model may be trained to correlate and predict the resolution metrics from real-time Operations events. If real-time Operations events may be provided, the trained models may be employed to predict the resolution metrics that are associated with the real-time Operations events. If model performance degrades beyond accuracy requirements, new observations may be added to the training set and the model re-trained.
    Type: Grant
    Filed: September 1, 2016
    Date of Patent: February 28, 2017
    Assignee: PagerDuty, Inc.
    Inventors: Justin David Kearns, Ophir Ronen, Laura Ann Zuchlewski