Intelligent Traffic Shaping & Geo-Redundancy: Architectural Strategies for Payment Systems During Peak Traffic Events

Authors

  • Madhavi Latha Bhairavabhatla Independent Researcher, USA

DOI:

https://doi.org/10.32996/jcsts.2025.4.1.86

Keywords:

Traffic Shaping, Geo-redundancy, Payment Architecture, Resilience Framework, Capacity Optimization

Abstract

Payment processing systems face unprecedented demanding situations at some point of high-traffic activities like seasonal sales and product launches, while transaction volumes surge exponentially beyond baseline capacity. This record affords architectural techniques that integrate smart site visitors shaping with geo-redundancy to create resilient infrastructures that are able to maintain service level objectives through extreme situations. Intelligent traffic shaping employs dynamic routing algorithms, adaptive price restricting, and priority-primarily based frameworks to optimize transaction distribution across resources. Geo-redundancy enhances those talents by means of dispersing processing potential throughout a couple of geographic regions, disposing of single points of failure even as addressing information synchronization, regulatory compliance, and latency demanding situations. The mixing of these complementary strategies creates comprehensive resilience frameworks that enable charge systems to face up to nearby outages, traffic spikes, and partial infrastructure disasters without provider degradation. Organizations implementing these techniques obtain appreciably better availability metrics while optimizing operational expenses through dynamic aid.

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Published

2025-09-23

Issue

Section

Research Article

How to Cite

Madhavi Latha Bhairavabhatla. (2025). Intelligent Traffic Shaping & Geo-Redundancy: Architectural Strategies for Payment Systems During Peak Traffic Events. Journal of Computer Science and Technology Studies, 7(9), 724-729. https://doi.org/10.32996/jcsts.2025.4.1.86