Amazon Technologies, Inc.

Sophia Yeemei Tsang

Vivek Chawda

Samartha Chandrashekar

Roland Mesde

Sushil Ravoori

Ekanth Sethuramalingam

Raviprasad Venkatesha Murthy Mummidi

Nagaraju Shiramshetti

Javier Arturo Thiele-Ruiz

Sriram Venkatadri

Sudharsan Balakrishnan Sripadham

Koushik Rajagopal

Divya Balasubramanian

Amita Ekbote

Hari Subramanian

Daniel John Scholl

Shailaja Yadav

Raviprasad V Mummidi

Keshav Sethi Attrey

Sumeet Talwar

Sagar Kumar

Sukwon Kim

Swetha Sundar

Tianyi Luo

Anbuselvan Ramanathan

Julian Ozen

Nikhil Kumar Jadhav

Nikhilkumar Jadhav

Frederick Lee Von Wurden

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.

Detection, presentation, and resolution of bottlenecks in monolith decomposition

Techniques are described for automatically identifying monolithic software applications in users' computing environments for software modernization purposes. A monolithic patent application typically refers to a single-tiered application with self-contained functionality designed largely without modularity, although many types of applications can have monolithic characteristics. In many cases, modularity in a software application's design is desirable and thus developers may often seek to decompose monolithic applications into more modular 'microservices' or other subunits when possible. A software modernization system includes a software analysis service that obtains, for one or more software applications undergoing evaluation, a collection of application artifacts, application profiling metrics, and other application profile data. A collection of features is extracted from the application artifacts and metrics and used as input to a ML model trained to determine whether a software application likely is monolithic.

Machine learning-based identification of monolithic software application

Disclosed are various embodiments for anti-pattern detection in extraction and deployment of a microservice. A software modernization service is executed to analyze a computing application to identify various applications. When one or more of the application components are specified to be extracted as an independently deployable subunit, anti-patterns associated with deployment of the independently deployable subunit are determined prior to extraction. Anti-patterns may include increases in execution time, bandwidth, network latency, central processing unit (CPU) usage, and memory usage among other anti-patterns. The independently deployable subunit is selectively deployed separate from the computing application based on the identified anti-patterns.

Anti-pattern detection in extraction and deployment of a microservice

Disclosed are various embodiments for isolated code detection from application code analysis. Various application components may be identified from a source code file or a bytecode file of a computing application. A graph model representative of the computing application is generated having nodes and bridges that connect some nodes to other nodes. The graph model is generated such that at least one of the nodes is an isolated node having less than a threshold number of bridges connecting to other nodes, which is indicative that a corresponding one of the application components can be implemented as an independently deployable component of the computing application.

Isolated code detection from application code analysis

Disclosed are various embodiments for the extraction of isolated nodes during source code refactoring. A graph model representative of a computing application is generated having nodes and bridges that connect some nodes to other nodes. An application component corresponding to a selected one of the nodes may be extracted from the computing application. An independently deployable component of the computing application may be generated and deployed on a network service such that the independently deployable component is accessible through a network-based call.

Automated extraction of isolated nodes during source code refactoring

Disclosed are various embodiments for the refactoring of local calls to network calls during software modernization. First and second application components are identified based on analysis of a computing application. A local call from the first application component to a process of the second application component is identified, and an independently deployable microservice is created from the computing application. The independently deployable subunit comprises the second application component having a network endpoint. The independently deployable microservice is deployed such that the process is accessible to the first application component via the network endpoint. The local call is programmatically refactored into a network call from the first application component to the process of the second application component.

Software modernization refactoring of local calls to network calls

Disclosed are various embodiments for domain-driven application breakout. Application components are identified based on analysis of a computing application, where the application components are different portions of the computing application. Individual ones of the application components are associated with a category, where the category may include a business domain category. One or more of the application components associated with the category are extracted as an independently deployable subunit, which may include a microservice. The independently deployable subunit is generated for the category using the at least one of the application components and deployed separate from the computing application. A local call in the computing application to the extracted application components is refactored to a network call to the independently deployable subunit.

Domain-driven application breakout

A migration system or service may implement event-driven replication for migrating a computing resource from a source network to a destination network. A replication event may be detected to obtain a state of a data volume for a computing resource hosted in a client network. A request to a replication agent hosted in the source network may instruct the replication agent to copy at least some of the data of the data volume and send the data to the destination network. The migration service may generate a state of the data volume from the received data in a format that is operable to host the computing resource in the destination network and store the generated state of the data volume.

Event-driven replication for migrating computing resources

Techniques are described for importing and using virtual machine images in configured manners, such as by a virtual machine image importation service on behalf of clients. An image may be retrieved based on a client-provided location, and various characteristics of the image may be identified via application of multiple heuristic or other assessment tests to various aspects of the retrieved image such as a master boot record, filesystem, or directory structure of the image to determine a testing vector that is compared to identification vectors associated with known operating systems, in order to automatically determine a specific operating system installed on the image to be imported. Modifications may be made to drivers, configuration and system files of the retrieved image based on the identified operating system and other image characteristics.

Performing configuration and operating system identification for virtual machine images

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Saratoga, CA, United States of America

Sophia Yeemei Tsang