System Design Overview
Ramply's technical architecture is built on a robust, scalable, and secure foundation that enables instant cross-border payments through blockchain technology. Our system is designed for high availability, security, and seamless user experience.
Architecture Principles
Microservices Architecture
Modular Design: Each service handles specific functionality independently
Scalability: Services can scale individually based on demand
Fault Tolerance: Failure in one service doesn't affect the entire system
Maintainability: Easy to update and maintain individual components
Event-Driven Architecture
Asynchronous Processing: Real-time event handling for payment processing
Message Queues: Reliable message delivery between services
Event Sourcing: Complete audit trail of all system events
CQRS Pattern: Separate read and write models for optimal performance
Core Infrastructure
Cloud Platform: AWS
Global Deployment: Multi-region deployment for low latency
Auto-scaling: Automatic scaling based on traffic patterns
High Availability: 99.99% uptime SLA with redundancy
Security: Enterprise-grade security with AWS security services
Container Orchestration
Kubernetes: Container orchestration for microservices
Docker: Containerized applications for consistency
Service Mesh: Istio for service-to-service communication
Load Balancing: Intelligent traffic distribution
Key Components
Payment Processing Engine
Real-time Processing: Sub-second transaction processing
Multi-currency Support: 50+ fiat currencies
Blockchain Integration: Seamless crypto-fiat conversions
Compliance Engine: Automated regulatory compliance
Security Layer
Zero-Trust Architecture: Every request is authenticated and authorized
End-to-End Encryption: All data encrypted in transit and at rest
API Security: Rate limiting, DDoS protection, and input validation
Audit Logging: Comprehensive logging for security monitoring
Data Management
Distributed Databases: PostgreSQL for transactional data
Caching Layer: Redis for high-performance data access
Data Lake: S3 for analytics and reporting
Backup & Recovery: Automated backups with point-in-time recovery
Performance Characteristics
Scalability
Horizontal Scaling: Add more instances as needed
Database Sharding: Distribute data across multiple databases
CDN Integration: Global content delivery for optimal performance
Caching Strategy: Multi-level caching for fast response times
Reliability
Circuit Breakers: Prevent cascade failures
Retry Mechanisms: Automatic retry for transient failures
Health Checks: Continuous monitoring of service health
Disaster Recovery: Multi-region backup and failover
Monitoring & Observability
Real-time Monitoring
Application Metrics: Performance and business metrics
Infrastructure Monitoring: Server and network monitoring
Log Aggregation: Centralized logging with search capabilities
Alerting: Proactive alerting for issues and anomalies
Analytics
Business Intelligence: Real-time dashboards and reports
User Analytics: User behavior and usage patterns
Performance Analytics: System performance optimization
Fraud Analytics: Advanced fraud detection and prevention
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