The Challenge
Westhaven Financial Services is the client behind this project. A Chicago financial services organization needed to process customer transactions, payments and fund transfers while maintaining accurate records. Real-time status visibility and complete transaction histories were central requirements.
The development challenge went beyond transaction speed. The platform had to manage consistency, reduce duplicate transactions, protect sensitive information and connect external payment services.
What ApexCore Digital built
ApexCore Digital implemented a Spring Boot microservices architecture for account operations, fund transfers and payment processing. Kafka supports asynchronous event handling, while database transactions and validation mechanisms maintain consistency.
Spring Security controls authentication and authorization. Beneficiary management, notifications, account statements, fraud monitoring and audit logs support customer and operational workflows. Redis forms part of the stack alongside REST APIs and financial reporting.
How the workflow supports the business
The platform separates customer account activity from the operational controls needed to process it. Customers require clear transaction status and history; staff require consistent records, reconciliation support and visibility into exceptions. Validation and database transactions address accuracy within the processing workflow, while asynchronous events allow related operations to be handled through the service architecture. Audit logs and financial reports provide supporting records for operational review. The architecture was selected to handle growing transaction activity while keeping individual services modular.
Reported results
- 40% improvement in transaction-processing efficiency.
- 30% reduction in manual reconciliation.
- 9% improvement in transaction-data consistency.
Architecture target: 99.9% system availability; not presented as achieved uptime.
Technology: Angular / React, Java, Spring Boot, Spring Security, Oracle / PostgreSQL, Kafka, Redis, AWS / Azure.
