Patents by Inventor Ingo Averdunk

Ingo Averdunk 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).

  • Patent number: 11782808
    Abstract: A system, computer program product, and method are presented for automatically executing chaos experiments on computing resources, applications, and services through automatically establishing and meeting core requirements for each chaos experiment. The method includes receiving a trigger signal configured to establish one or more condition s to execute one or more chaos experiments on at least a portion of one or more landing zones. The one or more chaos experiments are configured to operationally stress one or more of one or more infrastructure resources, one or more services, and one or more computing applications. The method also includes determining, automatically, the technical support coverage for the execution of the one or more chaos experiments. The method further includes executing, automatically, subject to the technical support coverage determination, the one or more chaos experiments.
    Type: Grant
    Filed: March 25, 2021
    Date of Patent: October 10, 2023
    Assignee: Kyndryl, Inc.
    Inventors: Vishal Anand, Ingo Averdunk
  • Publication number: 20230214311
    Abstract: A method, computer program product, and system include a processor(s) that obtains a request for a transaction to be processed by an application in a computing system. The processor(s) applies, to the request for the transaction, an outlier detection model, to determine whether the transaction comprises attributes matching transaction tuples of one or more historical transactions identified as triggering issues in the computing system when the application processed the historical transactions. The processor(s) classifies the transaction as being an outlier transaction or as being a standard transaction, based on applying the outlier detection model. Based on determining that the transaction is an outlier transaction, concurrently with the application processing the transaction, the processor(s) turn on the debug trace to debug trace the application processing of the transaction.
    Type: Application
    Filed: January 5, 2022
    Publication date: July 6, 2023
    Inventors: Harish Bharti, Ingo Averdunk, Shankar Sundaram Kalyana, Rajesh Kumar Saxena, RAJIB DAS
  • Publication number: 20220308972
    Abstract: A system, computer program product, and method are presented for automatically executing chaos experiments on computing resources, applications, and services through automatically establishing and meeting core requirements for each chaos experiment. The method includes receiving a trigger signal configured to establish one or more condition s to execute one or more chaos experiments on at least a portion of one or more landing zones. The one or more chaos experiments are configured to operationally stress one or more of one or more infrastructure resources, one or more services, and one or more computing applications. The method also includes determining, automatically, the technical support coverage for the execution of the one or more chaos experiments. The method further includes executing, automatically, subject to the technical support coverage determination, the one or more chaos experiments.
    Type: Application
    Filed: March 25, 2021
    Publication date: September 29, 2022
    Inventors: Vishal Anand, Ingo Averdunk
  • Publication number: 20160063379
    Abstract: An approach is provided for providing anonymous crowd sourced software tuning. The approach operates by anonymously receiving usage data from a number of software customer systems. The usage data that is received pertains to a software product. The received usage data is analyzed to identify healthy system patterns. The usage data received from each customer system is compared to at least one of the healthy system patterns. In one embodiment, the usage data from a customer system is compared to healthy system patterns from systems with similar configurations as the customer system. Sets of recommendations are generated based on the comparison with each set of recommendations corresponds to one of the software customers. The generated recommendations are provided to the respective software customers.
    Type: Application
    Filed: September 3, 2014
    Publication date: March 3, 2016
    Inventors: Darryl M. Adderly, Ingo Averdunk, Jonathan W. Jackson, Ajit Jariwala, Eric B. Libow