Hotel Reservation System

Design a global hotel reservation system similar to Booking.com or Expedia. The system must support hotel discovery via search (location, dates, room types) and a high-integrity booking flow. A critical requirement is to ensure no two customers can book the same room for overlapping dates (zero overbooking). Consider how the system handles 10 million daily active users, global distribution, and high-concurrency scenarios during peak holiday seasons. Discuss your choice of consistency models, database selection, and how you maintain search performance while ensuring booking accuracy.

PostgreSQLOpenSearchRedisKafkaCDCSaga PatternKubernetesCDNStripe

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Hotel Reservation System Design

Design a global hotel reservation system like Booking.com or Expedia. The system should support hotel discovery (search by location/date), real-time availability management, and a secure booking process. Key challenges include handling high-concurrency bookings for limited inventory without double-booking, ensuring low-latency search across millions of records, and maintaining data consistency across the reservation and payment lifecycles. Discuss how you would handle 10 million daily users and the trade-offs between consistency and availability in a distributed environment.

PostgreSQLPostGISRedisKafkaCDNJWTStripeCDCMicroservices

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Hotel Reservation System Design

Design a global hotel reservation system similar to Booking.com. The system should allow users to search for hotels based on location and date ranges, view real-time room availability, and complete bookings with high concurrency. Address the challenges of inventory consistency (preventing overbooking), handling high-traffic search patterns, and managing the reservation lifecycle (from pending to confirmed). Assume 10M DAU and 1M hotels.

PostgreSQLElasticsearchRedisKafkaRabbitMQStripeKubernetesCDNCDC

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Scalable Hotel Reservation System

Design a high-scale hotel reservation and search system similar to Booking.com. The system must support millions of hotels and room types while providing sub-second search latency and guaranteeing zero double-bookings. Address how you would handle massive read traffic for hotel searches, maintain strict inventory consistency during peak booking periods, and ensure the system remains resilient if external payment providers fail.

PostgreSQLRedisElasticsearchKafkaCDCCQRSRESTJWT

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Hotel Reservation System

Design a high-scale hotel reservation system similar to Booking.com or Expedia. The system must support global hotel search with real-time availability filters, handle high-concurrency booking transactions without overbooking, and manage a massive inventory of room-nights across different time zones. Focus on the data consistency model for reservations, the search indexing strategy, and how to handle the high read-to-write ratio typical of travel platforms. Provide estimations for a system supporting 20 million daily active users and discuss the trade-offs between availability and consistency in the booking flow.

PostgreSQLElasticsearchRedisKafkaDebeziumKubernetesCDNJWTStripe

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Hotel Reservation and Global Search System

Design a global hotel booking platform similar to Booking.com. The system must support searching for properties based on location and real-time availability, and a transactional booking flow that guarantees no double-bookings. Consider the scale of 20 million daily active users, the high-read/low-write nature of the traffic, and the consistency requirements for inventory management during peak seasonal demand.

PostgreSQLElasticsearchRedisKafkaDebeziumCDNAPI GatewayKubernetesgRPC

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Scalable Marketplace & Reservation System Design

Design a global vacation rental platform like Airbnb. The system must support millions of listings and handle high-concurrency search and booking flows. Key challenges include ensuring strict consistency for reservations to prevent double-booking, low-latency geo-spatial search across millions of records, and managing high-volume media assets. Discuss your approach to data consistency, search indexing strategy, and how you would handle scaling to a global user base.