End-to-End Validation Strategies for Microservice Architectures in Regulated Financial Systems
DOI:
https://doi.org/10.15662/IJEETR.2020.0203004Keywords:
microservices, financial systems, regulatory compliance, end-to-end validation, contract testing, distributed transactions, resilience engineering, audit trail, data reconciliationAbstract
Financial institutions have, over the past decade, migrated an increasing share of their core transaction processing, payments, lending, and account servicing capability away from monolithic cores and toward architectures composed of many independently deployed microservices. This migration brings well documented benefits in deployment velocity and organizational scalability, but it also multiplies the number of seams across which a defect, a regulatory control gap, or a data integrity failure can hide. In a regulated financial context, these seams are not merely technical risks; they are compliance risks, audit risks, and in some cases risks to the institution's standing with its supervisors. This article examines end-to-end validation, defined as the coordinated set of practices that establish confidence in a distributed financial system's correctness, resilience, and regulatory compliance across every service boundary a transaction crosses, from the moment it enters the system to the moment it is settled, recorded, and reported. The article reviews the testing, resilience, and distributed systems literature that underlies modern microservice validation practice, examines why regulated financial systems impose validation obligations that go beyond conventional software quality assurance, and proposes a layered End to End Validation Framework for Regulated Microservice Systems, referred to throughout as EVF-RMS. The framework is organized around five validation layers, spanning contract level validation, data integrity and reconciliation validation, distributed transaction validation, resilience and degradation validation, and regulatory and audit validation, and is accompanied by a description of the architectural components, validation techniques, governance practices, and illustrative scenarios needed to operate it. Several simple summary tables are included to make the framework's structure easy to reference, and all numeric figures are presented as indicative, order of magnitude observations drawn from publicly discussed industry and regulatory practice prior to May 2020, intended to motivate the discussion rather than to serve as a validated empirical result. The article closes with a discussion of limitations and directions for continued practice
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