Design a large-scale Content Delivery Platform
Last updated: December 29, 2025
Quick Overview
Design a multi-tenant content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Booking.com
December 29, 202579
14
3,917 solved
Design a multi-tenant content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Booking.com asks this during the Technical Screen to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
What the Interviewer Expects
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you handle a 10x increase in traffic overnight?
- How would you handle schema migrations with zero downtime?
- How do you ensure data consistency across multiple services?
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Requirements
- Functional Requirements:
- Support multi-tenant architecture, allowing multiple clients (e.g., hotels, travel agencies) to upload and serve their content (images, videos, etc.).
- Provide an...
Capacity Estimation
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User Base: Assume Booking.com serves 1 million tenants, each generating an average of 10 requests per second during peak hours.
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Calculations:
- Total QPS = 1,000,000 tenants * 10 reques...
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