International Journal on Science and Technology

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Externalizing Sticky-Session State in Legacy WebSphere FinTech Systems: A Cloud-Native Migration Framework for AWS EKS

Author(s) Raja Vala
Country United States
Abstract Legacy FinTech platforms built on IBM WebSphere Application Server bind transactional session state to JVM heap memory, enforced at the network layer by F5 BIG-IP cookie-insert persistence. We prove formally that this model is structurally incompatible with Kubernetes Horizontal Pod Autoscaling (HPA) under steady-state traffic: the sticky routing invariant renders scale-out liveness unachievable within any bounded time interval, while heap-resident state guarantees session loss on pod eviction with probability approaching unity. We present a three-phase state-externalization framework resolving this impedance mismatch without a big-bang cutover, using NGINX Plus sticky-learn as a transitional bridge and Amazon DynamoDB as a durable, pod-agnostic session store delivered via a custom WebSphere HttpSessionActivationListener provider through wsadmin with zero application downtime. Validated across three production FinTech migration scenarios of increasing dependency complexity, the framework eliminates session loss on pod eviction, raises HPA scaling efficiency from 31% to 89 – 94%, and reduces session error rate by 94.1%, while sustaining uninterrupted PCI-DSS v4.0.1 compliance throughout every phase.
Keywords sticky sessions; WebSphere migration; AWS EKS; DynamoDB; NGINX Plus; F5 BIG-IP; session externalization; FinTech; PCI-DSS; Strangler Fig; cloud-native; HPA; Java EE
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-05-08
DOI https://doi.org/10.71097/IJSAT.v17.i2.11322
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