Architecture Overview
Scalable and Secure Technical Infrastructure
CashKey's architecture is designed for high availability, scalability, and security. Our microservices-based approach ensures robust performance while maintaining flexibility for future enhancements and global expansion.
🏗️ Architecture Overview
High-Level System Design
graph TB
subgraph "Frontend Layer"
A[Telegram MiniApp]
B[Web Portal]
C[Mobile Apps]
end
subgraph "API Gateway"
D[Load Balancer]
E[Rate Limiting]
F[Authentication]
end
subgraph "Core Services"
G[User Service]
H[Content Service]
I[Evaluation Service]
J[Reward Service]
K[Notification Service]
end
subgraph "AI Layer"
L[LLM Engine]
M[Preprocessing]
N[Quality Assessment]
O[Fraud Detection]
end
subgraph "Data Layer"
P[PostgreSQL]
Q[Redis Cache]
R[File Storage]
S[Search Engine]
end
subgraph "Blockchain Layer"
T[Smart Contracts]
U[Token Management]
V[Point Tracking]
end
A --> D
B --> D
C --> D
D --> G
D --> H
D --> I
D --> J
D --> K
I --> L
I --> M
I --> N
I --> O
G --> P
H --> P
I --> P
J --> P
K --> Q
H --> R
H --> S
J --> T
J --> U
J --> VCore Principles
Scalability
Horizontal scaling capabilities
Microservices architecture
Cloud-native design
Auto-scaling infrastructure
Security
Zero-trust security model
End-to-end encryption
Multi-layer authentication
Regular security audits
Reliability
99.9% uptime guarantee
Fault-tolerant design
Automated failover systems
Comprehensive monitoring
Performance
Sub-second response times
Optimized database queries
Intelligent caching layers
CDN distribution
🔧 Core Components
Frontend Architecture
Telegram MiniApp
Framework: React.js with TypeScript
State Management: Redux Toolkit
UI Components: Custom design system
Build Tool: Vite for fast development
Testing: Jest and React Testing Library
Progressive Web App
Responsive Design: Mobile-first approach
Offline Capabilities: Service worker implementation
Push Notifications: Web Push API
Performance: Lighthouse score 95+
Cross-Platform Mobile
Framework: React Native for future expansion
Native Features: Camera, notifications, biometrics
App Store Compliance: Platform-specific guidelines
Performance Optimization: Bundle splitting and lazy loading
Backend Infrastructure
API Gateway
Technology: Kong or AWS API Gateway
Features: Rate limiting, authentication, monitoring
Load Balancing: NGINX with health checks
SSL/TLS: Certificate management and rotation
Microservices
Language: Node.js with TypeScript
Framework: Express.js with Helmet security
Communication: REST APIs and gRPC
Documentation: OpenAPI/Swagger specifications
Message Queue
Technology: Apache Kafka
Use Cases: Event streaming, background jobs
Reliability: Message persistence and replay
Scalability: Horizontal partition scaling
Database Architecture
Primary Database
Technology: PostgreSQL 14+
Features: ACID compliance, JSON support
Scaling: Read replicas and connection pooling
Backup: Automated daily backups with point-in-time recovery
Cache Layer
Technology: Redis Cluster
Use Cases: Session storage, API caching, rate limiting
Performance: Sub-millisecond response times
Reliability: Master-slave replication
Search Engine
Technology: Elasticsearch
Features: Full-text search, analytics, monitoring
Indexing: Real-time content indexing
Performance: Optimized for fast query responses
File Storage
Technology: AWS S3 or compatible object storage
Features: CDN integration, lifecycle management
Security: Encrypted storage and secure access
Scalability: Unlimited storage capacity
🤖 AI Infrastructure
LLM Evaluation Engine
Primary Model Architecture
Base Model: GPT-4 fine-tuned for content evaluation
Custom Training: Domain-specific datasets
Optimization: Model quantization for faster inference
Monitoring: Performance metrics and drift detection
Supporting Models
BERT: Semantic understanding and similarity
RoBERTa: Context analysis and classification
Custom Classifiers: Category-specific evaluation
Ensemble Methods: Combined model predictions
Processing Pipeline
graph LR
A[Content Input] --> B[Preprocessing]
B --> C[Tokenization]
C --> D[Model Inference]
D --> E[Score Calculation]
E --> F[Quality Assurance]
F --> G[Result Output]
style A fill:#e1f5fe
style D fill:#f3e5f5
style G fill:#e8f5e8Infrastructure
Compute: GPU clusters for model inference
Scaling: Auto-scaling based on demand
Optimization: Model caching and batching
Monitoring: Real-time performance tracking
Data Processing
ETL Pipeline
Technology: Apache Airflow for orchestration
Data Sources: User submissions, external APIs
Processing: Real-time and batch processing
Quality: Data validation and cleaning
Machine Learning Pipeline
Training: Automated model retraining
Deployment: Blue-green deployment strategy
Monitoring: Model performance and accuracy tracking
Feedback Loop: Continuous learning from user interactions
⛓️ Blockchain Integration
Smart Contract Architecture
Token Contract
Standard: ERC-20 with additional features
Functions: Transfer, staking, governance voting
Security: Multi-signature controls, time locks
Upgradability: Proxy pattern for future improvements
Reward Contract
Function: Point-to-token conversion tracking
Features: Batch processing, gas optimization
Security: Reentrancy protection, access controls
Transparency: Event logging for all transactions
Governance Contract
Features: Proposal submission, voting, execution
Mechanisms: Quorum requirements, time locks
Security: Vote verification, proposal validation
Flexibility: Parameter adjustments through governance
Blockchain Infrastructure
Network Selection
Primary: Ethereum mainnet for security
Secondary: Layer 2 solutions for efficiency
Future: Multi-chain deployment capability
Considerations: Gas costs, security, decentralization
Integration Layer
Technology: Web3.js or Ethers.js
Features: Transaction monitoring, event listening
Reliability: Retry mechanisms, error handling
Performance: Connection pooling, caching
🔐 Security Architecture
Security Layers
Application Security
Authentication: Multi-factor authentication
Authorization: Role-based access control
Input Validation: Comprehensive data sanitization
API Security: Rate limiting, request signing
Infrastructure Security
Network: VPC isolation, firewall rules
Encryption: TLS 1.3, encrypted storage
Monitoring: Real-time threat detection
Compliance: SOC 2 Type II certification
Data Security
Encryption: AES-256 for data at rest
Access Control: Least privilege principle
Backup: Encrypted backup storage
Privacy: GDPR and CCPA compliance
Security Monitoring
Real-time Monitoring
Technology: ELK Stack (Elasticsearch, Logstash, Kibana)
Metrics: Security events, anomaly detection
Alerting: Immediate notification of threats
Response: Automated threat mitigation
Security Auditing
Frequency: Quarterly security assessments
Scope: Code review, infrastructure audit
Partners: Third-party security firms
Compliance: Industry standard certifications
📊 Monitoring and Observability
Application Monitoring
Performance Metrics
Response Times: API endpoint performance
Throughput: Requests per second handling
Error Rates: Success/failure ratios
Resource Usage: CPU, memory, storage utilization
Business Metrics
User Activity: Active users, submission rates
Platform Health: Evaluation accuracy, system uptime
Token Economics: Transaction volume, staking rates
Community Growth: User acquisition, retention
Infrastructure Monitoring
System Health
Technology: Prometheus and Grafana
Metrics: Server performance, database health
Alerting: PagerDuty integration for incidents
Dashboards: Real-time visualization
Log Management
Collection: Centralized log aggregation
Analysis: Pattern recognition and anomaly detection
Retention: Configurable log retention policies
Security: Tamper-proof audit trails
🚀 Scalability Strategy
Horizontal Scaling
Microservices Scaling
Container Orchestration: Kubernetes deployment
Auto-scaling: CPU and memory-based scaling
Load Distribution: Intelligent traffic routing
Service Mesh: Istio for service communication
Database Scaling
Read Replicas: Multiple read-only database copies
Sharding: Horizontal data partitioning
Connection Pooling: Efficient database connections
Caching: Multi-layer caching strategy
Performance Optimization
Frontend Optimization
Code Splitting: Lazy loading of components
CDN: Global content distribution
Compression: Gzip and Brotli compression
Caching: Browser and proxy caching
Backend Optimization
Query Optimization: Efficient database queries
Connection Pooling: Reusable database connections
Async Processing: Non-blocking operations
Resource Management: Memory and CPU optimization
🔄 Deployment Strategy
CI/CD Pipeline
Development Workflow
Version Control: Git with feature branching
Code Review: Peer review requirements
Testing: Automated test suites
Quality Gates: Code coverage and linting
Deployment Process
Staging: Complete environment replication
Blue-Green: Zero-downtime deployments
Rollback: Instant rollback capabilities
Monitoring: Post-deployment health checks
Environment Management
Development Environment
Local Development: Docker containers
Testing: Automated testing environment
Integration: Continuous integration server
Sandbox: Feature testing environment
Production Environment
High Availability: Multi-region deployment
Disaster Recovery: Automated backup and restore
Maintenance: Scheduled maintenance windows
Capacity Planning: Proactive resource management
🏗️ Built for the Future: CashKey's architecture is designed to scale globally while maintaining security and performance. Our technical foundation supports millions of users and billions of information exchanges.
Key Features:
Microservices Architecture: Modular and scalable design
AI-Powered Evaluation: Advanced machine learning infrastructure
Blockchain Integration: Secure and transparent token economy
Enterprise Security: Bank-level security and compliance
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