Capital One Services, LLC

Devi Kiran Gonuguntla

Ajmal Karuthakantakath

Maz Jawed Baig

Raghuram Madiraju

Suresh Navayamkunnil Raghavan

Palak Mathur

Jordan Donais

Venkata Sudha Reddennagari

Jack Farrington

Rajani Kumar Reddy Naini

Grace Kaldawi

Trent Jones

Jacques Morel

Systems and methods are disclosed herein for improving data migration operations including testing and setup of computing environments. In one example, the method may include receiving data for one or more application programming interfaces (APIs). The method may further include generating one or more tests to test the one or more APIs in a first computing environment, testing the APIs, storing the results in a database, and performing a change data capture operation. The method may further include augmenting the one or more tests with the CDC data to generate an updated test. The method may further include testing, using the updated test, a second set of the one or more APIs and comparing the test results. The method may also include outputting a confidence score indicating a correlation between the first environment and the second environment.

Systems and method for testing computing environments

Aspects described herein may allow for the application of dynamically generating APIs using API generator based on database metadata. An API generator may extract metadata associated with store procedures. The API generator may generate a first layer of API that communicates with an enterprise application via a first data format. The API generator may generate a second layer of the API that communicates with a database via a second data format. The API generator may receive a request to invoke a stored procedure in a first data format. In response to receiving the request, the generated API may generate a converted request in the second data format.

Application programming interface generator using database metadata

This disclosure pertains to a dynamic pipeline for processing images. The pipeline can receive inventory data or records from an upstream process. These records can include one or more URLs for images relating to a product listing or any other listing. An orchestration layer of the pipeline can carry these records through a series of processes or steps. Each step can be performed by a cluster in the pipeline. Individual task workers in each cluster can pick up each record, perform the task assigned to the cluster, and pass the record to the next step.

Distributed image processing and manipulation

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Flower Mound, TX, United States of America

Devi Kiran Gonuguntla