Lux Hotels

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Lux Hotels a leading hotel chain sought to upgrade its online booking system to handle a significant increase in customer demand They needed a highperformance scalable and faulttolerant platform capable of serving 1 million daily booking requests


Lux Hotels

Project Scope

  • Design and implement a microservices architecture for flexibility and scalability.
  • Develop a user-friendly website and mobile app for guests.
  • Create a robust backend for managing reservations, pricing, and availability.
  • Implement real-time room inventory updates and booking confirmations.
  • Ensure secure payment processing and guest data protection.
  • Enable hotel staff to manage reservations and room allocations efficiently.
  • Implement a recommendation engine for personalized booking suggestions.
  • Monitor and optimize system performance for high availability.

Key Features

  • Microservices Architecture: A modular system with independent microservices for bookings, payments, reservations, and recommendations.
  • User-Friendly Interface: A responsive and intuitive website and mobile app for guests and hotel staff.
  • Real-time Inventory Updates: Instantaneous updates to room availability and booking confirmations.
  • Secure Payments: Integration with secure payment gateways for customer transactions.
  • Admin Dashboard: A dashboard for hotel staff to manage reservations, check-ins, and room allocations.
  • Recommendation Engine: Personalized recommendations based on user preferences and historical data.
  • High Availability: Scalability and fault tolerance to handle 1 million daily requests.
  • Data Analytics: Monitoring and analytics tools for performance optimization.

Technologies Used

  • Microservices: Node.js with Express.js, Docker, Kubernetes for container orchestration.
  • Frontend: React.js for the website and React Native for the mobile app.
  • Database: MongoDB for reservation and user data, Redis for caching.
  • Payment Processing: Integration with industry-standard payment gateways.
  • Cloud Hosting: AWS for scalability, load balancing, and disaster recovery.
  • Machine Learning: Python, TensorFlow for recommendation algorithms.

Challenges Faced

  • Ensuring high availability and scalability to handle a million daily requests.
  • Coordinating microservices for seamless communication and data consistency.
  • Managing secure and efficient payment processing for bookings.
  • Handling real-time room inventory updates and booking confirmations.
  • Personalizing recommendations based on user data.


The “High-Performance Hotel Booking System with Microservices Architecture” project led to a highly scalable, performant, and user-friendly booking platform for Lux Hotels. The system successfully handled 1 million daily booking requests, improving guest satisfaction and revenue. The recommendation engine contributed to increased bookings and personalized experiences.

Key Takeaways

  • Effective implementation of microservices for scalability and maintainability.
  • Meeting the high-performance demands of 1 million daily requests.
  • Enhanced user experience and personalized recommendations.
  • Improved revenue and guest satisfaction for Lux Hotels.
  • This hotel booking system portfolio project demonstrates the software company’s expertise in building a complex, scalable, and high-traffic platform using microservices. It showcases their skills in microservices architecture, real-time updates, and personalized recommendations to meet the specific needs of the hospitality industry.
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