Cloud-native test automation: The future of scalable financial software quality engineering

Palanisamy, Pradeepkumar (2025) Cloud-native test automation: The future of scalable financial software quality engineering. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2371-2379. ISSN 2582-8266

Cloud-native test automation is revolutionizing quality engineering for financial software by addressing the challenges traditional testing methodologies face with distributed systems, containerized applications, and microservices architectures. This article explores how financial institutions leverage containerization technologies, serverless execution platforms, and AI-driven test orchestration to maintain rigorous quality standards while accelerating delivery pipelines. The transformative impact of self-healing automation powered by artificial intelligence enables systems to learn from historical data and automatically adapt testing strategies. Further advancements through parallel test execution in Kubernetes provide massive scalability benefits, while serverless test automation offers cost-efficient testing solutions. Real-time financial transaction monitoring ensures quality in production environments through continuous monitoring tools, synthetic transaction testing, and anomaly detection with automated response mechanisms. These innovations collectively enable financial institutions to achieve unprecedented reliability while accelerating innovation in an increasingly complex digital landscape.