Patents by Inventor Muralidharan Balasubramanian

Muralidharan Balasubramanian 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: 20250045193
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: August 8, 2024
    Publication date: February 6, 2025
    Inventors: Muralidharan Balasubramanian, Eric K Barnum, Julie Dallen, David Watson
  • Publication number: 20250036488
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: August 5, 2024
    Publication date: January 30, 2025
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20240427693
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: September 5, 2024
    Publication date: December 26, 2024
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 12164416
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: April 18, 2023
    Date of Patent: December 10, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20240345938
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: March 21, 2024
    Publication date: October 17, 2024
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 12111752
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: July 18, 2023
    Date of Patent: October 8, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 12099438
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: April 28, 2023
    Date of Patent: September 24, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 12079668
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: April 18, 2023
    Date of Patent: September 3, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20240257106
    Abstract: Methods, systems, devices, and computer-readable media for a multi-party transaction decisioning system are provided. The system may analyze a purchase transaction associated with a first user and may identify that the transaction is associated with more than one party based on determining that an amount of the transaction is atypical for the first user. The system may identify a party associated with the multi-party transaction based on analyzing data associated with the first user. The system may generate a delegation request for a portion of the amount of the multi-party transaction to be delegated to the identified party and may transmit the delegation request to the identified party. Subsequently, the system may receive a payment transaction from the identified party, and the system may identify that the payment transaction is associated with the previously transmitted delegation request.
    Type: Application
    Filed: April 10, 2024
    Publication date: August 1, 2024
    Inventors: Vijay Sahebgouda Bantanur, Muralidharan Balasubramanian, Julie Dallen
  • Patent number: 11989721
    Abstract: Methods, systems, devices, and computer-readable media for a multi-party transaction decisioning system are provided. The system may analyze a purchase transaction associated with a first user and may identify that the transaction is associated with more than one party based on determining that an amount of the transaction is atypical for the first user. The system may identify a party associated with the multi-party transaction based on analyzing data associated with the first user. The system may generate a delegation request for a portion of the amount of the multi-party transaction to be delegated to the identified party and may transmit the delegation request to the identified party. Subsequently, the system may receive a payment transaction from the identified party, and the system may identify that the payment transaction is associated with the previously transmitted delegation request.
    Type: Grant
    Filed: August 19, 2021
    Date of Patent: May 21, 2024
    Assignee: Capital One Services, LLC
    Inventors: Vijay Sahebgouda Bantanur, Muralidharan Balasubramanian, Julie Dallen
  • Patent number: 11966324
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: April 23, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20240086872
    Abstract: Methods, systems, devices, and computer-readable media for detecting multi-party events and transactions are provided. User data may be monitored to detect data associated with an event involving multiple individuals, such as by identifying transaction data associated with certain types of merchants and/or scheduling, calendar, or correspondence data indicative of an event. The data may be further analyzed to identify a date, location, and/or parties associated with the event. A multi-party event may be generated. The user data may continue to be monitored to identify transactions associated with multiple parties and occurring during a time and/or at a location of the event. At a conclusion of the event, the transactions may be aggregated and an optimal payment scheme may be determined for settlement of the transactions between the parties. In accordance with the determined payment scheme, delegation of portions of the aggregated transactions may be initiated for settlement amongst the parties.
    Type: Application
    Filed: November 22, 2023
    Publication date: March 14, 2024
    Inventors: Vijay Sahebgouda Bantanur, Muralidharan Balasubramanian, Julie Dallen
  • Patent number: 11868973
    Abstract: Methods, systems, devices, and computer-readable media for detecting multi-party events and transactions are provided. User data may be monitored to detect data associated with an event involving multiple individuals, such as by identifying transaction data associated with certain types of merchants and/or scheduling, calendar, or correspondence data indicative of an event. The data may be further analyzed to identify a date, location, and/or parties associated with the event. A multi-party event may be generated. The user data may continue to be monitored to identify transactions associated with multiple parties and occurring during a time and/or at a location of the event. At a conclusion of the event, the transactions may be aggregated and an optimal payment scheme may be determined for settlement of the transactions between the parties. In accordance with the determined payment scheme, delegation of portions of the aggregated transactions may be initiated for settlement amongst the parties.
    Type: Grant
    Filed: August 19, 2021
    Date of Patent: January 9, 2024
    Assignee: Capital One Services, LLC
    Inventors: Vijay Sahebgouda Bantanur, Muralidharan Balasubramanian, Julie Dallen
  • Patent number: 11868237
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: December 15, 2022
    Date of Patent: January 9, 2024
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20230401143
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: July 18, 2023
    Publication date: December 14, 2023
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20230401114
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: April 18, 2023
    Publication date: December 14, 2023
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20230267074
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: April 28, 2023
    Publication date: August 24, 2023
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Publication number: 20230251955
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Application
    Filed: April 18, 2023
    Publication date: August 10, 2023
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 11675692
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: June 13, 2023
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson
  • Patent number: 11663055
    Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: May 30, 2023
    Assignee: Capital One Services, LLC
    Inventors: Muralidharan Balasubramanian, Eric K. Barnum, Julie Dallen, David Watson