Telemetry-Driven Predictive Failure Models for High-Scale Financial  Databases

Raghu Gollapudi

Telemetry-Driven Predictive Failure Models for High-Scale Financial Databases

Authors

Raghu Gollapudi

Keywords:

Predictive Failure Modeling, Financial Databases, Telemetry Analytics, Anomaly Detection, Infrastructure Reliability

Abstract

Financial institutions face database failures that create systemic economic disruptions rather than isolatedtechnical incidents. High-volume payment systems depend on continuous database reliability. Trading engines require uninterrupted persistence layer health

References

RTS Labs, "Predictive Analytics in Finance: Use Cases, Benefits & More (2025)," 2025. Available: https://rtslabs.com/predictive-analytics-in-finance/

Downloads

Published

2025-12-21

How to Cite

Raghu Gollapudi. (2025). Telemetry-Driven Predictive Failure Models for High-Scale Financial Databases . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 1035–1049. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4835