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Design a Key-Value Store
Design a distributed key-value store like Dynamo or Cassandra with high availability.
Design a high-concurrency ticket booking system (e.g., Ticketmaster) that can sell out millions of tickets in minutes without overselling.
We need to design a backend for a massive concert ticket sale. We expect millions of users to try booking 100,000 tickets within seconds. How do we ensure we do not oversell?
Use this as one discussion aid, not a single correct answer. Your design should follow from the requirements, scale, and trade-offs you establish.
graph LR
A["Design a Ticket Booking System"]
A --> F1["Handling massive traffic spikes 1M+ concurrent users"]
A --> F2["Preventing overselling Inventory Management"]
A --> F3["Database Locking strategies Optimistic vs Pessimistic"]
A --> F4["Virtual Queue / Waiting Room implementation"]
A --> F5["Data Consistency ACID"]Practice drawing this system component-by-component on a live whiteboard while the interviewer probes at your target level.
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Related System Design
Design a distributed key-value store like Dynamo or Cassandra with high availability.
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Design a distributed job scheduler capable of handling recurring and one-time tasks at scale.
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Design a high-throughput distributed message queue similar to Apache Kafka or RabbitMQ.
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Design a scalable notification service that sends emails, SMS, and push notifications to millions of users.