Case Study: Real-Time Fraud Scoring on Serverless with Cold-Start Hiding

case-study
Received: Jul 9, 2024
Published: Aug 2, 2024
Authors: Maya Hall ✉

Abstract

A fintech deployed shadow pools and pre-warmer policies to mask cold-starts for fraud APIs, improving P99 by 22%.

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Cite this article

Hall, M. (2024). Case Study: Real-Time Fraud Scoring on Serverless with Cold-Start Hiding. Research Explorations in Global Knowledge & Technology (REGKT), 3 (7). Retrieved from https://regkt.com/article.php?id=264&slug=case-study-real-time-fraud-scoring-serverless-coldstart-hiding

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