Enterprise Risk Broker (ERB) - Real-Time Risk Verification Platform
Project Overview
Refactored legacy Agent application into Spring Boot services paired with modern Angular frontends.
Project at a glance
The problem we set out to solve
Modernizing legacy monolithic codebases (Struts/JSP) to cloud-native microservice standards without service disruption.
Migrating critical third-party vendor integrations under strict security protocols.
Ensuring high availability for real-time multi-level verification modules (ID, Business, Financial, Device).
Discovery Planning
How we scoped the work
Audited Struts and JSP legacy components to plan phase-wise decomposition into microservices.
Designed secure vendor migration workflows for Device Verification.
Planned containerized deployment pipelines targeting Google Kubernetes Engine.
Our approach
Refactored legacy Agent application into Spring Boot services paired with modern Angular frontends.
Seamlessly executed vendor migration for the Device Verification module with zero downtime.
Established automated CI/CD deployment pipelines targeting Google Kubernetes Engine (GKE).
The systems we composed
A production-grade architecture designed for scale, observability and cost efficiency. Each layer built with modern, battle-tested tooling.
Spring Boot microservices architecture coupled with modern Angular single-page interfaces.
Oracle Database integration optimized for rapid real-time verification processing.
Cloud-native containerized architecture running on Google Kubernetes Engine clusters.
How we built and shipped
- Phase 01
Uplifted core Agent application architecture from legacy Core Java and JSP to Spring Boot and Angular.
- Phase 02
Executed complete vendor migration for Device Verification to a new secured provider.
- Phase 03
Implemented automated CI/CD pipelines to Google Kubernetes Engine for continuous cloud deployment.
What we shipped
Multi-Factor Verification Engine: Modules for ID, Business, Financial, and Device verification.
Automated Fraud Prevention: Real-time relationship mapping and business risk scoring.
Entry 3: Mo
Modernized Agent Dashboard: Responsive Angular UI for internal risk agents.
Complex problems, resolved
Standardizing deployments across legacy JBOSS servers and modern GKE clusters.
Optimizing Oracle Database connectivity and query execution for rapid verification processing.
Maintaining strict security protocols during third-party vendor integrations.
The engineering matrix
A curated stack that balances velocity, reliability and long-term cost.
Measurable impact
mproved onboarding decision-making speed through automated risk evaluation.
Streamlined cloud deployment efficiency via automated Kubernetes CI/CD.
Boosted application performance and UI responsiveness for risk verification agents.
Final takeaway
Successfully modernized legacy risk verification systems into a high-performance cloud architecture.
Delivered seamless vendor migration while upholding strict enterprise security standards.
Enhanced system resilience and reduced operational maintenance overhead.
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