The Challenge
A major investment bank was struggling with their legacy trading platform that had grown organically over 15 years. The system consisted of multiple monolithic applications running on physical servers with manual deployment processes that took 6+ hours and often failed.
Key Pain Points
Operational Challenges
- Manual deployment processes with high failure rates
- Frequent system outages affecting trading operations
- Inability to scale during high-volume trading periods
- Complex disaster recovery procedures
Regulatory Compliance
- Difficulty maintaining audit trails for trades
- Inconsistent data retention policies
- Limited ability to demonstrate compliance controls
- Manual reporting processes prone to errors
Business Impact
- $2M+ annual losses due to system downtime
- Competitive disadvantage due to slow time-to-market
- High operational costs from manual processes
- Limited ability to offer new trading products
Our Approach
We implemented a comprehensive platform modernization strategy focused on maintaining business continuity while achieving regulatory compliance.
Phase 1: Assessment and Planning (Month 1-2)
Current State Analysis
- Comprehensive architecture review
- Risk assessment and mitigation planning
- Regulatory requirement mapping
- Performance baseline establishment
Future State Design
- Cloud-native architecture blueprints
- Microservices decomposition strategy
- Data migration and synchronization plans
- Compliance-by-design patterns
Phase 2: Foundation Setup (Month 2-4)
Infrastructure Modernization
- AWS multi-account landing zone setup
- Kubernetes cluster deployment with enterprise security
- Network segmentation and security controls
- Monitoring and logging infrastructure
Compliance Framework
- Automated audit logging for all transactions
- Data encryption at rest and in transit
- Role-based access control (RBAC) implementation
- Automated compliance reporting
Phase 3: Application Migration (Month 4-7)
Strangler Fig Pattern Implementation
- Gradual migration from monolith to microservices
- API gateway for traffic routing and management
- Event-driven architecture with Kafka
- Real-time data synchronization
Trading Engine Modernization
- High-performance order matching system
- Real-time risk calculation services
- Market data processing pipeline
- Settlement and clearing integration
Phase 4: Optimization and Handover (Month 7-8)
Performance Tuning
- Load testing and optimization
- Database performance improvements
- Caching strategy implementation
- Network optimization
Team Training and Knowledge Transfer
- Platform operations training
- Incident response procedures
- Monitoring and troubleshooting
- Ongoing maintenance best practices
Technical Architecture
Microservices Design
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Order Service │ │ Risk Service │ │Settlement Service│
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌─────────────────┐
│ Event Bus │
│ (Apache Kafka) │
└─────────────────┘
Deployment Pipeline
# Simplified CI/CD pipeline
stages:
- security_scan
- unit_tests
- integration_tests
- compliance_check
- staging_deployment
- regulatory_approval
- production_deployment
- post_deployment_verification
Monitoring Stack
- Metrics: Prometheus + Grafana for real-time trading metrics
- Tracing: Jaeger for distributed transaction tracing
- Logging: ELK stack for centralized audit logs
- Alerting: PagerDuty integration for critical trading alerts
Key Technologies Used
Infrastructure
- Kubernetes: Container orchestration on AWS EKS
- Terraform: Infrastructure as Code for consistent deployments
- Istio: Service mesh for security and observability
- AWS: Cloud platform with financial services compliance
Data Layer
- PostgreSQL: Primary transactional database with high availability
- Redis: Caching layer for high-frequency trading data
- Apache Kafka: Event streaming for real-time data processing
- S3: Object storage for compliance data retention
Security
- HashiCorp Vault: Secrets management and encryption
- AWS KMS: Key management for data encryption
- OAuth 2.0: Authentication and authorization
- Network policies: Microsegmentation for zero-trust architecture
Results Achieved
Trade Settlement Time
- Before: 6 hours average settlement time
- After: 90 minutes average settlement time
- Impact: 75% reduction enabling same-day settlement
System Availability
- Before: 99.2% uptime with frequent outages
- After: 99.95% uptime with automated failover
- Impact: $2M+ annual savings from reduced downtime
Deployment Frequency
- Before: Monthly deployments with high risk
- After: Daily deployments with automated rollback
- Impact: 20x increase in deployment frequency
Regulatory Compliance
Audit Readiness
- 100% automated audit trail generation
- Zero compliance findings in regulatory examination
- 90% reduction in compliance reporting time
- Real-time risk monitoring and alerting
Data Governance
- Automated data retention policies
- Immutable transaction records
- End-to-end data lineage tracking
- GDPR compliance for customer data
Business Impact
Operational Efficiency
- 80% reduction in manual operational tasks
- 60% decrease in infrastructure costs
- 90% improvement in developer productivity
- 50% faster time-to-market for new products
Risk Management
- Real-time position monitoring
- Automated risk limit enforcement
- Predictive analytics for market exposure
- Enhanced stress testing capabilities
Challenges Overcome
Regulatory Approval Process
Working closely with compliance and risk teams to ensure all changes met regulatory requirements while maintaining system performance.
Zero-Downtime Migration
Implementing sophisticated blue-green deployment strategies to migrate critical trading systems without affecting market operations.
Data Consistency
Ensuring transactional consistency across microservices using event sourcing and saga patterns for distributed transactions.
Meeting sub-millisecond latency requirements for high-frequency trading while maintaining system reliability and compliance.
Client Testimonial
“Platformbuilds transformed our entire trading infrastructure while maintaining the highest standards of regulatory compliance. The 75% reduction in settlement time has given us a significant competitive advantage, and the improved system reliability has eliminated the costly outages that were impacting our business. Their expertise in both platform engineering and financial services compliance made this complex project a success.”
— VP of Technology, Major Investment Bank
Lessons Learned
- Compliance-First Architecture: Designing compliance into the platform from the beginning rather than retrofitting
- Gradual Migration Strategy: Using strangler fig patterns to minimize risk during legacy system migration
- Automated Testing: Comprehensive test automation crucial for financial services reliability requirements
- Stakeholder Engagement: Regular communication with compliance, risk, and business teams essential for success
Next Steps
Following the successful platform modernization, we continue to work with the client on:
- Advanced analytics and machine learning integration
- Multi-cloud disaster recovery implementation
- Additional product line migrations
- Ongoing optimization and cost management
This case study demonstrates how thoughtful platform engineering can drive significant business value while meeting the stringent requirements of regulated industries.
Interested in modernizing your financial services platform? Contact us to discuss how we can help you achieve similar results.