Optimizing Containerized Architectures: Improving System Reliability for High-Traffic FinTech Applications
Abstract
The increased pace of digitalisation of financial-technology (FinTech) systems has made containerised architectures the key to the reliability, scalability, and compliance of high-traffic systems. However, even with the widespread use of Docker, Kubernetes, and other cloud-native solutions, studies on reliability optimisation in the context of FinTech are still disjointed on the technical, organisational, and governance levels. This review explores the studies on container orchestration, observability, and secure DevOps to propose a theoretical framework on how reliability may be systematically improved in FinTech infrastructures. The study conceptualises the idea of reliability in terms of an emergent consequence of integrated subsystems, which are technological, procedural, and human, based on the socio-technical systems theory (Bostrom and Heinen, 1977) and general systems theory (von Bertalanffy, 1968). The review examines the main mechanisms of existing industry examples and literature, such as the dynamic resource optimisation, automated fault recovery, policy-as-code governance, and cross-cluster observability. These processes are modelled as a conceptual framework- Container Reliability Optimisation Framework (CROF), which connects system design with operational resilience and regulatory compliance. This paper contributes a structured lens to re-evaluate reliability as technical uptime but as a socio-technical ability to trust, perform, and be flexible within FinTech ecosystems.
Citations
IRE Journals:
Oreoluwa Omoike "Optimizing Containerized Architectures: Improving System Reliability for High-Traffic FinTech Applications" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 1911-1916 https://doi.org/10.64388/IREV9I5-1711762-4577
IEEE:
Oreoluwa Omoike
"Optimizing Containerized Architectures: Improving System Reliability for High-Traffic FinTech Applications" Iconic Research And Engineering Journals, 9(4) https://doi.org/10.64388/IREV9I5-1711762-4577
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