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US Patent 10339457 Application performance analyzer and corresponding method

Patent 10339457 was granted and assigned to New Relic on July, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
New Relic
New Relic
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Current Assignee
New Relic
New Relic
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103394570
Patent Inventor Names
Stijn Polfliet0
Bart De Vylder0
Frederick Ryckbosch0
Date of Patent
July 2, 2019
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Patent Application Number
150101210
Date Filed
January 29, 2016
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Patent Citations Received
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US Patent 11474892 Graph-based log sequence anomaly detection and problem diagnosis
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US Patent 11513930 Log-based status modeling and problem diagnosis for distributed applications
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US Patent 11244012 Compliance by clustering assets according to deviations
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US Patent 11243835 Message-based problem diagnosis and root cause analysis
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US Patent 10942801 Application performance management system with collective learning
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US Patent 11599404 Correlation-based multi-source problem diagnosis
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US Patent 11403326 Message-based event grouping for a computing operation
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US Patent 11995562 Integrating documentation knowledge with log mining for system diagnosis
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Patent Primary Examiner
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Michael B. Holmes
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Patent abstract

An application performance management system is provided, which is adapted to analyze the performance of one or more applications running on information technology (IT) infrastructure. The application performance management system includes a data collector, an anomaly detector, an anomaly correlator, an anomaly ranking unit, and a source problem detector. The data collector collects performance metrics for one or more applications running on the IT infrastructure. The anomaly detector analyzes the performance metrics and detects anomalies, which may include performance metrics whose values deviate from historic values with a deviation that exceeds a predefined threshold. The anomaly correlator detects dependencies between plural anomalies and generates anomaly clusters. Each anomaly cluster includes anomalies that are correlated through one or more of the dependencies. The anomaly ranking unit ranks anomalies within an anomaly cluster. The source problem detector pinpoints a problem source from the lowest ranked anomaly in an anomaly cluster.

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