Platform Engineering for Financial Services: Enabling Real-Time Transaction Processing

This article examines key emerging technologies transforming financial platform engineering. Platform engineering plays a pivotal role in building these systems by leveraging microservices architecture, event-driven systems, and cloud-native technologies. This article explores how modern platform engineering practices ensure low latency, high throughput, security, and regulatory compliance while integrating cutting-edge technologies like machine learning and blockchain. Machine learning has revolutionized fraud detection by enabling the analysis of vast transactional datasets to identify patterns invisible to human observers. Blockchain technology has gained adoption for transaction verification, providing distributed ledger systems that ensure security and immutability while enabling smart contracts that automate complex financial agreements. Real-time analytics capabilities allow financial institutions to process streaming data for immediate insights on market trends, customer behavior, and risk factors, supporting data-driven decision-making at market speed. Finally, API ecosystems have created interconnected networks of services that facilitate innovation through standardized interfaces, transforming how financial services are developed and consumed across core banking, partner integration, and public marketplace contexts.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-03-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n98191
Citations
1
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
3.25
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article

Platform Engineering for Financial Services: Enabling Real-Time Transaction Processing

Dilip R. Ahuja
1 citations
European Journal of Computer Science and Information Technology
Service-Oriented Architecture and Web Services
3.25
article

Platform Engineering for Financial Services: Enabling Real-Time Transaction Processing

Dilip R. Ahuja
article en
1 citations

Abstract

This article examines key emerging technologies transforming financial platform engineering. Platform engineering plays a pivotal role in building these systems by leveraging microservices architecture, event-driven systems, and cloud-native technologies. This article explores how modern platform engineering practices ensure low latency, high throughput, security, and regulatory compliance while integrating cutting-edge technologies like machine learning and blockchain. Machine learning has revolutionized fraud detection by enabling the analysis of vast transactional datasets to identify patterns invisible to human observers. Blockchain technology has gained adoption for transaction verification, providing distributed ledger systems that ensure security and immutability while enabling smart contracts that automate complex financial agreements. Real-time analytics capabilities allow financial institutions to process streaming data for immediate insights on market trends, customer behavior, and risk factors, supporting data-driven decision-making at market speed. Finally, API ecosystems have created interconnected networks of services that facilitate innovation through standardized interfaces, transforming how financial services are developed and consumed across core banking, partner integration, and public marketplace contexts.

European Journal of Computer Science and Information TechnologyVol. 13(9)
Public Health England (GB)
Openalex Percentile: Top 9%
Service-Oriented Architecture and Web Services
3.25
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