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US Patent 11853753 Detection, presentation, and resolution of bottlenecks in monolith decomposition

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118537530
Patent Inventor Names
Vivek Chawda0
Samartha Chandrashekar0
Sophia Tsang0
Date of Patent
December 26, 2023
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Patent Application Number
174094480
Date Filed
August 23, 2021
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Patent Citations
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US Patent 9740480 Apparatus and methodologies for code refactoring
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US Patent 10116679 Privilege inference and monitoring based on network behavior
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US Patent 10223104 Optimizing a build process by scaling build agents based on system need
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US Patent 10496935 System modernization using machine learning
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US Patent 10545738 Containerized deployment of microservices based on monolithic legacy applications
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US Patent 10579370 Method to disintegrate a monolith service to microservices
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US Patent 10628152 Automatic generation of microservices based on technical description of legacy code
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US Patent 10911477 Early detection of risky domains via registration profiling
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...
Patent Citations Received
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US Patent 12067386 Systems and methods for determining software parity
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US Patent 12001312 Data center monitoring and management operation for provisioning a data center asset using unstructured data
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Patent Primary Examiner
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Francisco J Aponte
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CPC Code
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G06F 8/77
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Patent abstract

Techniques are described for identifying resource bottlenecks in decomposing monolithic software applications as part of software modernization processes. An application modernization system constructs a graph model of a software application based on an analysis of application artifacts associated with the software application. The graph model includes nodes representing independent application components, and further includes edges representing identified dependency relationships among the application components. An application modernization system further generates application profile metrics associated with the identified dependencies, and weights derived from the metrics are applied to the nodes and/or the edges of the graph model to generate a weighted graph model that identifies the resource bottlenecks among the application components and the identified dependency relationships. The weighted graph model is transmitted to a computing device for display to a user.

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