Scalable Railway Reservation System

Design a high-concurrency railway booking system similar to IRCTC capable of handling 10 million daily users and extreme traffic surges (e.g., millions of concurrent users during a 1-hour window). The system must support train searches, real-time availability checks, and atomic booking transactions with strong consistency. Address how you would prevent overbooking, handle massive spikes in traffic, and ensure low-latency search results under load.

PostgreSQLRedisKafkaCDNWAFElasticsearchIstioDebezium

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Cinema Ticket Booking System Design

Design a high-scale cinema ticket booking platform capable of handling millions of users. The system must support movie discovery, real-time seat availability, and a secure booking process. A critical constraint is preventing double-booking during high-concurrency events (e.g., blockbuster releases). Address how you would handle temporary seat holds, payment consistency, and system reliability under bursty traffic patterns.

PostgreSQLRedisKafkaCDNKubernetesgRPCJWTStripe

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Cinema Ticket Booking System Design

Design a high-scale cinema ticket booking platform (like Fandango or BookMyShow) that can handle millions of users and peak traffic during blockbuster movie releases. The system must support movie browsing, real-time seat selection, and a secure booking workflow. Key challenges include preventing double-booking of seats under high concurrency, managing temporary seat holds during payment, and ensuring low latency for seat map availability.

PostgreSQLRedisKafkaCDNKubernetesJWTgRPCPrometheus

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Cinema Ticket Booking System Design

Design a high-scale cinema ticket booking platform like Fandango or BookMyShow. The system must support searching for movies by location, viewing real-time seat availability, and reserving seats for a limited window (e.g., 10 minutes) during checkout. Focus on handling extreme traffic spikes for blockbuster releases where thousands of users may attempt to book the same seats simultaneously. Address data consistency, high availability, and the management of temporary seat holds.

PostgreSQLRedisElasticsearchKafkagRPCCDNJWTMicroservices

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Cinema Ticket Booking System Design

Design a high-scale cinema ticket booking platform (e.g., BookMyShow or Fandango) capable of handling millions of users and high-concurrency 'opening night' events for blockbusters. The system must ensure no two users can book the same seat, handle seat locks during a 10-minute payment window, and remain responsive under heavy search traffic. Detail your strategy for data consistency, concurrency control, and handling external payment gateway integrations.

PostgreSQLRedisKafkaDockerKubernetesCDNJWTPrometheusGrafanaStripe

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Cinema Ticket Booking System

Design a high-scale cinema ticket booking platform similar to Fandango or BookMyShow. The system must support movie discovery, real-time seat availability visualization, and a secure booking flow. Key challenges include handling massive traffic spikes for blockbuster releases, preventing double-bookings of the same seat, and managing temporary seat locks during payment. Discuss your approach to data consistency, concurrency control, and how you would ensure high availability while maintaining strict transactional integrity.

PostgreSQLRedisKafkaKubernetesCDNAPI GatewaymTLSOCC

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Design a Scalable Ticket Booking System

Design a system like BookMyShow or Ticketmaster capable of handling extreme concurrency during high-demand events. The system must support movie and event discovery, real-time seat availability, and a secure booking process. Address critical challenges including the prevention of double-bookings, handling payment failures, and maintaining low latency during traffic spikes. Explain your choice of data storage, locking mechanisms, and how you would scale the system for millions of concurrent users.