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公开(公告)号：US12079668B2
公开(公告)日：2024-09-03
申请号：US18135816
申请日：2023-04-18
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F9/54 , G06F9/3838 , G06F9/541 , G06F9/542 , G06F11/079 , G06F18/23 , G06N20/00
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. Such tests may be used to train the machine learning model.
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公开(公告)号：US11966324B2
公开(公告)日：2024-04-23
申请号：US17833689
申请日：2022-06-06
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
IPC: G06F11/36 , G06F11/00 , G06F11/30 , G06F16/903 , G06N20/00
CPC classification number: G06F11/3672 , G06F16/90335 , G06N20/00
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. Such tests may be used to train the machine learning model.
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3.发明授权公开(公告)号：US11868237B2
公开(公告)日：2024-01-09
申请号：US18081821
申请日：2022-12-15
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F11/3672 , G06N20/00
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. Such tests may be used to train the machine learning model.
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4.发明公开公开(公告)号：US20230401114A1
公开(公告)日：2023-12-14
申请号：US18135816
申请日：2023-04-18
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F9/54 , G06F9/3838 , G06F9/541 , G06N20/00 , G06F11/079 , G06F9/542 , G06F18/23
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. Such tests may be used to train the machine learning model.
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公开(公告)号：US20220300398A1
公开(公告)日：2022-09-22
申请号：US17833689
申请日：2022-06-06
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
IPC: G06F11/36 , G06F16/903 , G06N20/00
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. Such tests may be used to train the machine learning model.
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Patent Agency Ranking
公开(公告)号：US11354222B2
公开(公告)日：2022-06-07
申请号：US16454595
申请日：2019-06-27
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
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. Such tests may be used to train the machine learning model.
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7.发明公开公开(公告)号：US20230401143A1
公开(公告)日：2023-12-14
申请号：US18223208
申请日：2023-07-18
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F11/3672 , G06N20/00
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. Such tests may be used to train the machine learning model.
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公开(公告)号：US20230267074A1
公开(公告)日：2023-08-24
申请号：US18140712
申请日：2023-04-28
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F11/3692 , G06F11/3684 , G06F11/3495 , G06F9/546 , G06F11/302 , G06F11/3688
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. Such tests may be used to train the machine learning model.
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公开(公告)号：US11663055B2
公开(公告)日：2023-05-30
申请号：US17571984
申请日：2022-01-10
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
CPC classification number: G06F9/3838 , G06F9/541 , G06F9/542 , G06F11/079 , G06K9/6218 , G06N20/00
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. Such tests may be used to train the machine learning model.
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10.发明授权公开(公告)号：US11556459B2
公开(公告)日：2023-01-17
申请号：US17181618
申请日：2021-02-22
Applicant: Capital One Services, LLC
Inventor： Muralidharan Balasubramanian , Eric K. Barnum , Julie Dallen , David Watson
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. Such tests may be used to train the machine learning model.
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