Skip to main content

Platform Architecture

Technical overview of the botsKYC platform infrastructure and design.

High-Level Architecture​

Core Components​

API Gateway​

Entry point for all API requests.

Responsibilities:

  • Load balancing across servers
  • Authentication and authorization
  • Rate limiting and throttling
  • Request routing
  • SSL/TLS termination

Features:

  • Multi-region deployment
  • Auto-scaling
  • Health checks
  • Circuit breakers

Verification Services​

Document Verification​

Handles all document processing requests.

  • Identity documents
  • Address verification
  • Income documents
  • Business entities
  • Compliance documents

Liveness Detection​

Manages biometric verification.

  • Session creation
  • Face liveness checks
  • Face comparison
  • Anti-spoofing detection

Data Extraction​

Extracts structured data from documents.

  • AI-powered OCR
  • Field extraction
  • Data validation
  • Confidence scoring

Processing Layer​

AI Engine​

Core AI processing capabilities.

Functions:

  • Image analysis
  • Document classification
  • Data extraction
  • Pattern recognition

Optimization:

  • Model caching
  • Batch processing
  • Parallel execution
  • GPU acceleration

Fraud Detection​

Real-time fraud analysis.

Capabilities:

  • Document authenticity checks
  • Tampering detection
  • Pattern analysis
  • Risk scoring

Data Layer​

Primary Database​

Stores verification results and metadata.

  • Encrypted at rest
  • Automated backups
  • High availability
  • Read replicas

Object Storage​

Secure document storage.

  • Encrypted storage
  • Access controls
  • Lifecycle policies
  • Geographic distribution

Cache Layer​

High-performance caching.

  • In-memory cache
  • Distributed caching
  • TTL management
  • Cache invalidation

Processing Flows​

Synchronous Flow​

Real-time verification (< seconds).

Use Cases:

  • Interactive onboarding
  • Real-time verification
  • Mobile apps
  • Point-of-sale

Asynchronous Flow​

Background processing (5-0 seconds).

Use Cases:

  • Batch processing
  • High-volume verification
  • Backend integrations
  • Scheduled jobs

Geographic Distribution​

Multi-Region Deployment​

Infrastructure distributed for low latency.

Regions:

  • 🇼 Botswana - Primary data center
  • Global CDN - Static assets

Benefits:

  • Low latency (< 00ms locally)
  • Data sovereignty
  • High availability
  • Disaster recovery

Scalability​

Horizontal Scaling​

Auto-scaling based on demand.

Features:

  • Dynamic instance scaling
  • Load-based triggers
  • Health-based scaling
  • Predictive scaling

Capacity:

  • Baseline: ,000 req/min
  • Peak: 0,000+ req/min
  • Auto-scale: < minutes

Performance Optimization​

Caching Strategy​

Multi-layer caching for speed.

Layers: . CDN Cache - Static assets . API Cache - Response caching . Database Cache - Query results 4. Model Cache - AI predictions

Hit Rates:

  • CDN: 95%+
  • API: 60%+
  • Database: 80%+
  • Model: 70%+

Asynchronous Processing​

Queue-based architecture.

  • Message queues for jobs
  • Worker pools for processing
  • Priority queues
  • Dead letter queues

Reliability​

High Availability​

Built for 99.9% uptime.

Design:

  • Multi-zone deployment
  • Redundant components
  • Automated failover
  • Health monitoring

Recovery:

  • RTO: < 5 minutes
  • RPO: < minute
  • Auto-recovery
  • Manual override

Monitoring and Observability​

System Monitoring​

Real-time infrastructure monitoring.

Metrics:

  • CPU, memory, disk
  • Network throughput
  • Request latency
  • Error rates

Application Monitoring​

Track application performance.

Metrics:

  • Response times
  • Success rates
  • Throughput
  • Queue depth

Logging​

Centralized log aggregation.

Logs:

  • Application logs
  • Access logs
  • Error logs
  • Audit logs

Retention: 90 days (configurable)

Security Architecture​

Network Security​

Multiple layers of protection.

  • DDoS Protection - Cloud-level mitigation
  • WAF - Web application firewall
  • VPC - Isolated networks
  • Security Groups - Firewall rules

Data Security​

End-to-end encryption.

  • TLS . - In transit
  • AES-56 - At rest
  • Key Management - HSM storage
  • Access Controls - IAM policies

Application Security​

Secure development practices.

  • Code Scanning - Automated vulnerability detection
  • Dependency Checks - CVE monitoring
  • Penetration Testing - Annual audits
  • Bug Bounty - Responsible disclosure

Integration Patterns​

REST API​

Standard HTTP/HTTPS endpoints.

POST /api/v/kyc/verify/identity
Content-Type: multipart/form-data

files: document.jpg

WebSocket​

Real-time bidirectional communication.

ws://api.botskyc.com/ws
{
  "type": "verification.status",
  "id": "ver_"
}

Webhooks​

Event-driven notifications.

POST https://your-app.com/webhook
Content-Type: application/json

{
  "event": "verification.completed",
  "data": { ... }
}

Technology Stack​

Backend​

  • Modern application framework
  • RESTful API design
  • Microservices architecture
  • Container-based deployment

Infrastructure​

  • Cloud-native platform
  • Container orchestration
  • Infrastructure as code
  • Automated deployment

Data​

  • Relational database
  • Object storage
  • In-memory cache
  • Message queues

AI/ML​

  • Document processing models
  • Computer vision
  • OCR engines
  • Fraud detection algorithms

Next Steps​