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Cloud-Native Platform Modernization for Scalable FinTech Whitelabel Solutions

altoroslabs.com

Financial services

Challenges in Rapid Feature Delivery and Platform Scalability

Existing platform suffered from slow release cycles (months), difficulty in customizing for diverse client technology stacks, complex integration requirements with enterprise systems, and security vulnerabilities when handling sensitive financial data. Needed to support whitelabeling strategy for 95+ corporate clients with varying compliance requirements.

About the Client

FinTech company specializing in currency risk management solutions for investors and financial institutions

Strategic Objectives for Platform Transformation

Reduce feature delivery cycles from months to weeks
Enable seamless whitelabeling with minimal customization
Implement enterprise-grade security controls
Achieve elastic scalability and 99.95% platform availability
Reduce infrastructure maintenance costs by 50%

Core System Capabilities

Machine learning-based anomaly detection system
End-to-end data encryption with role-based access control
GitOps-driven CI/CD pipelines with automated code quality checks
Modular architecture for rapid integration with corporate ERP systems
Real-time exchange rate analytics dashboard with reporting engine

Technology Stack Requirements

Heroku PaaS with containerized microservices

Code Climate for automated code review

RuboCop for Ruby code linting

AWS KMS for encryption management

System Integration Needs

Corporate identity providers (SAML/OAuth)
Third-party financial data APIs
Enterprise monitoring tools (Datadog/NewRelic)
Payment gateway interfaces

Operational Requirements

Auto-scaling to handle 10x traffic spikes
Zero-downtime deployment capability
SOC 2 Type II compliance
Real-time security vulnerability scanning
Infrastructure-as-code provisioning

Expected Business Impact of Platform Modernization

Enable 2-4x faster time-to-market for new features, reduce client onboarding time by 60%, support 2x growth in corporate client base without increasing DevOps staff, and achieve 30% reduction in total cost of ownership through cloud-native architecture optimizations