StayHub
Modern Hospitality Management Platform with microservices architecture, real-time availability, and A/B testing capabilities
Overview
StayHub is a comprehensive hospitality management platform built with microservices architecture, demonstrating modern full-stack development practices and scalable system design. It features end-to-end booking management, advanced search capabilities, and data-driven optimization through A/B testing - designed as a realistic demonstration platform for the travel industry.
Key Features
Advanced Search
Elasticsearch-powered search with faceted filtering, autocomplete, and relevance scoring for optimal property discovery.
Real-time Availability
Dynamic availability management with instant updates, preventing double bookings and optimizing occupancy rates.
A/B Testing Framework
Built-in experimentation platform for conversion optimization with statistical significance testing.
Dynamic Pricing
Intelligent pricing engine that adjusts rates based on demand, seasonality, and competitor analysis.
Technical Implementation
┌─────────────────┐ ┌─────────────────┐ │ Next.js UI │ │ GraphQL Layer │ └────────┬────────┘ └────────┬────────┘ │ │ ┌────┴───────────────────────┴────┐ │ Spring Cloud Gateway │ └────┬───────┬────────┬──────┬────┘ │ │ │ │ ┌────┴───┐ ┌─┴────┐ ┌┴───┐ ┌┴────────┐ │Property│ │Book │ │User│ │Analytics │ │Service │ │Service│ │Svc │ │ Engine │ └────┬───┘ └──┬───┘ └─┬──┘ └────┬────┘ │ │ │ │ ┌────┴────────┴───────┴─────────┴────┐ │ PostgreSQL + Redis │ └────────────────────────────────────┘
Microservices Breakdown
- •Property Service: Manages property listings, amenities, and media assets with CDN integration
- •Booking Service: Handles reservations, availability checking, and payment processing
- •User Service: Authentication, authorization, and user profile management with JWT tokens
- •Search Service: Elasticsearch integration for advanced property search and filtering
- •Analytics Engine (Perl): High-performance data processing for A/B testing and conversion tracking
Performance Optimization
- • Sub-200ms response times under load
- • Horizontal scaling supporting 1000+ concurrent users
- • Redis caching layer with intelligent invalidation
- • CDN integration for static assets
- • Database query optimization with proper indexing
Testing Strategy
- • Comprehensive unit tests with JUnit 5
- • Integration testing with Testcontainers
- • Load testing with performance benchmarks
- • E2E testing for critical user flows
- • Automated CI/CD pipeline with quality gates
Project Details
- Role
- Full-Stack Developer & Architect
- Context
- Portfolio Demonstration
- Timeline
- Jun 2025 - Present
- Status
- Active Development