Jul 2026· American Journal of Technology· Vol 5, pp. 15-37· 0 citations
TL;DR
The findings indicate that cloud-native architectures can substantially improve the scalability, operational resilience, and regulatory readiness of real-time payment systems compared with conventional monolithic designs.
Abstract
Aim: This study aimed to design and evaluate a cloud-native reference architecture for real-time payment processing that integrates microservices, event-driven communication, infrastructure-as-code, and federated AIOps to improve scalability, resilience, regulatory compliance, and operational efficiency. The novelty of the study is the federated three-tier integration model that combines ITIL-aligned governance, DevOps continuous delivery, and AIOps-driven anomaly detection within a single payment-specific reference architecture.
Methods: A mixed-methods design was employed, combining a structured synthesis of peer-reviewed and industry literature with quantitative benchmarking of instrumented cloud-native reference deployments. The deployments were scaled from 1 to 128 service replicas across two public clouds and an on-premise environment and were evaluated against a representative monolithic baseline.
Results: The findings show that the proposed cloud-native architecture reduced end-to-end p99 latency from approximately 850 ms in the monolithic baseline to approximately 180 ms, representing a 4.7× improvement. Sustained throughput scaled near-linearly to 78,000 transactions per second across 128 service replicas, compared with approximately 3,800 transactions per second in the baseline. Federated AIOps reduced Mean Time to Detect (MTTD) by 60% and Mean Time to Resolve (MTTR) by 50%, while alert volume and false-positive rates decreased by 70% and 82%, respectively. The architecture achieved 99.99% availability, with a Recovery Time Objective (RTO) of less than five minutes and a Recovery Point Objective (RPO) of less than 30 seconds across multi-region active-active deployments. The study also identifies operational complexity, multi-cloud cost overhead, and managed-service vendor lock-in as key limitations.
Conclusion: The findings indicate that cloud-native architectures can substantially improve the scalability, operational resilience, and regulatory readiness of real-time payment systems compared with conventional monolithic designs.
Recommendation: Financial institutions planning payment modernization should consider a phased adoption of cloud-native architectures supported by integrated governance, automation, and observability practices. The proposed framework should also be validated across diverse production payment environments.
The paper addresses the transformation of enterprise application infrastructure out of on-premise legacy resource setting into service-based cloud environments properly configured to scale horizontally, and presents experimental evaluations of the response time, throughput, service resiliency, and infrastructure utiliz...
Kanya Mohammed, Naree Thongchai· International Journal of Mod...· 0 citations
Organizations operating regulated database workloads across two or more public clouds should prioritize federated identity management, policy-as-code security baselines, centralized telemetry, and automated audit-evidence generation before expanding provider-specific security tooling.
Sai Vamsi Krishna Vadlamudi· American Journal of Technolo...· 0 citations
Cloud-based applications require architectures that can maintain efficient application loading and performance as workload increases. This study developed and experimentally evaluated three functionally equivalent e-commerce implementations: Monolithic, Baseline Microservices, and Proposed Microservices architectures....
Ikediego Henrietta Onyinyechi, A. Godspower, Chekwube Georgina Nwankwo et al.· International journal of re...· 0 citations
The study concludes that real-time analytical performance must be evaluated through both engineering and operational outcomes, and recommends use-case-driven architectural selection, resilient hybrid deployment, embedded security and governance, automated quality assurance, transparent AI-assisted pipeline management a...
Ogochukwu T. Izuchukwu, Dominic Feboh, Ayokunle Olamide Ijagbemi et al.· International Journal of Mul...· 0 citations
Key findings reveal that serverless and disaggregated databases enable elastic scaling and significant cost reductions through pay-as-you-go models and resource pooling, while performance optimization benefits from AI-driven scheduling and hardware co-design; however, challenges persist in cold-start latency, orchestra...
Khagendra Mishra, Suresh Gautam· International Journal of Inn...· 0 citations
Centralized data operations are often using in Small and medium-sized enterprises (SMEs) for easy data management, but there suffering from few limitations like cloud platform integration with bigdata yet many still face difficulties integrating cloud platforms with big-data capabilities in a scalable and governed mann...
B. Madhu Uthej, Dudde Lohith, Atluru Sai Charan Reddy et al.· 2026 7th International Confe...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.