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1.发明授权公开(公告)号：US11940894B2
公开(公告)日：2024-03-26
申请号：US17888104
申请日：2022-08-15
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Michael D. Trapani , Jeevan Kumar Goud Bandharapu
CPC classification number: G06F11/3409 , G06F11/3055 , G06F11/3457 , G06F17/18 , G06N20/00 , H04L41/145 , H04L43/045 , H04L43/08
Abstract: A computer system includes processor hardware configured to execute instructions from memory hardware. The instructions include training first and second machine learning models with the measured historical performance metrics to generate a component health status output and a component health score output, respectively, and generating a plurality of elements for display in a multi-level application monitoring interface. The measured historical performance metrics include at least one of a component response time, a component volume, a component memory utilization, and a component processor utilization. The instructions include obtaining measured performance metrics of an application infrastructure component, processing the measured performance metrics with the first machine learning model to produce the component health status output for the component, processing the measured performance metrics with the second machine learning model to produce the component health score output for the first component, and generating an output to transform a display visible to an operator.
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2.发明授权公开(公告)号：US11416369B1
公开(公告)日：2022-08-16
申请号：US17126250
申请日：2020-12-18
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Michael D. Trapani , Jeevan Kumar Goud Bandharapu
Abstract: A computer system includes processor hardware configured to execute instructions from memory hardware. The instructions include training first and second machine learning models with the measured historical performance metrics to generate a component health status output and a component health score output, respectively, and generating a plurality of elements for display in a multi-level application monitoring interface. The measured historical performance metrics include at least one of a component response time, a component volume, a component memory utilization, and a component processor utilization. The instructions include obtaining measured performance metrics of an application infrastructure component, processing the measured performance metrics with the first machine learning model to produce the component health status output for the component, processing the measured performance metrics with the second machine learning model to produce the component health score output for the first component, and generating an output to transform a display visible to an operator.
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3.发明公开公开(公告)号：US20240211369A1
公开(公告)日：2024-06-27
申请号：US18598448
申请日：2024-03-07
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Michael D. Trapani , Jeevan Kumar Goud Bandharapu
CPC classification number: G06F11/3409 , G06F11/3055 , G06F11/3457 , G06F17/18 , G06N20/00 , H04L41/145 , H04L43/045 , H04L43/08
Abstract: A system for automated detection of anomalous performance of application infrastructure components includes memory hardware and processor hardware communicatively coupled together. The processor hardware is configured to train the at least one machine learning model using measured historical performance metrics of a first component of the application infrastructure components. The processor hardware is configured to use the at least one machine learning model to generate key performance indicators for the first component, based on a reporting window time period associated with measured performance metrics. The processor hardware is configured to, in response to the key performance indicators indicating a performance anomaly condition for the first component, automatically perform a self-healing operation associated with the key performance indicators. The self-healing operation includes automatically modifying operation of the first component, including at least one of restarting the first component, and starting a new instance of the first component.
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4.发明申请公开(公告)号：US20220391300A1
公开(公告)日：2022-12-08
申请号：US17888104
申请日：2022-08-15
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Michael D. Trapani , Jeevan Kumar Goud Bandharapu
Abstract: A computer system includes processor hardware configured to execute instructions from memory hardware. The instructions include training first and second machine learning models with the measured historical performance metrics to generate a component health status output and a component health score output, respectively, and generating a plurality of elements for display in a multi-level application monitoring interface. The measured historical performance metrics include at least one of a component response time, a component volume, a component memory utilization, and a component processor utilization. The instructions include obtaining measured performance metrics of an application infrastructure component, processing the measured performance metrics with the first machine learning model to produce the component health status output for the component, processing the measured performance metrics with the second machine learning model to produce the component health score output for the first component, and generating an output to transform a display visible to an operator.
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