Capital One Services, LLC

Sathiyamurthy Thiruvengadathan

Nirmit Patel

Uday Kumar Dikshit

Lakshmi Ph Kommaraju

Philip Austin Kedy

Christina Garcia

Vijayasuriya Ravi

Nathan Robert Oster

Mallikarjuna Rao Sambaraju

Lakshmi Phani Kommaraju

Raja Kavuru

David Parsons

Systems, methods, apparatuses, and computer-readable media are provided for rules execution testing using live production data. Live production authorization requests may be received at a production computing device. Production authorization decisions may be determined at the production computing device for the live production authorization requests using a set of production rules. The production authorization requests, data used to arrive at the corresponding production authorization decisions, and/or the corresponding authorization decisions may be streamed in real-time to a test device. Test authorization decisions may be determined at the test device for the received live production authorization requests using the received data used to arrive at the production authorization decisions, and using a set of test rules. Production and test authorization decisions may be compared to determine decision differences. One or more user interfaces or reports may be generated for outputting the decision differences.

Automated rules execution testing and release system

A system for processing and verifying real-time calculations in a cloud computing environment is disclosed. In embodiments, the system performs implements methods to receive, at a first data center, a request from a point of sale (POS) system to perform a real-time calculation, where the real-time calculation is used to make automated decisions about a transaction. The system can transmit the request to a decision handler. The decision handler can determine which of a plurality of decision engine queues to further transmit the request to. The decision handler can transmit the request to a decision engine queue from the plurality of decision engine queues. The decision engine queue can scatter the request to at least two decision engines. The decision engine queue can receive a result of the real-time calculation and transmit the results through other components to the POS system.

Replica reliability

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Glen Allen, VA, United States of America

Sathiyamurthy Thiruvengadathan