Enterprise financial organizations are rapidly modernizing legacy application ecosystems to improve scalability, deployment efficiency, operational resilience, and security compliance. However, migration from traditional Platform-as-a-Service (PaaS) environments to containerized cloud-native infrastructures introduces substantial challenges involving service orchestration, dependency management, runtime stability, and secure workload transformation. This research proposes an adaptive cloud-native migration framework for secure enterprise financial systems using OpenShift Container Platform (OCP), distributed microservices, and automated deployment orchestration. The framework integrates containerized service transformation, Kubernetes-based workload scheduling, secure API communication, and infrastructure-aware deployment automation to support large-scale enterprise modernization. The proposed architecture incorporates Kafka-based asynchronous messaging, Vault-driven secret management, Docker image optimization, and CI/CD pipeline automation for improving migration reliability and deployment consistency across distributed environments. Mathematical workload-balancing models and distributed performance analysis are utilized to evaluate scalability, recovery efficiency, deployment latency, and infrastructure utilization under enterprise-scale financial workloads. The study aims to establish a scalable and secure migration strategy capable of improving operational continuity, deployment flexibility, and infrastructure resilience in modern financial cloud ecosystems.
Amir Siddiki (Thu,) studied this question.