Hybrid Mainframe–Cloud Modernization Framework for Resilient and Scalable Financial Infrastructure
DOI:
https://doi.org/10.70917/ijcisim-2026-5710Keywords:
Change Data Capture, Financial Infrastructure, Hybrid Architecture, Mainframe Modernization, Resilience Engineering, Workload ClassificationAbstract
Financial institutions operating complex, mission-critical infrastructure face a persistent modernization dilemma: mainframe systems provide hardware-enforced transactional integrity, deterministic performance, and decades of regulatory validation, while cloud infrastructure offers elastic scalability, managed service ecosystems, and consumption-based cost efficiency. Attempts to resolve this dilemma through wholesale mainframe replacement have produced documented operational failures; indefinite mainframe retention accepts escalating cost structures and growing talent scarcity. This article proposes the Hybrid Mainframe–Cloud Modernization Framework (HMCF), a structured approach to distributing financial workloads between mainframe and cloud environments based on systematic workload characterization across six analytical dimensions. The HMCF produces a four-tier workload classification routing each function to its optimal platform, connected through a governed Hybrid Connectivity Layer (HCL) comprising Change Data Capture event publication, cloud-to-mainframe API gateways, schema governance services, and cross-environment observability. Resilience engineering patterns — Active-Active and Active-Passive availability architectures, and federated chaos engineering — are specified for the four primary hybrid failure domains. Governance and regulatory engagement strategies complete the framework. The HMCF addresses a structural gap in the modernization literature between generic cloud migration guidance and mainframe-specific replacement programs, providing a reference model for the large population of established financial institutions that will operate hybrid environments for a decade or more.