Design a distributed Content Delivery System
Last updated: September 10, 2025
Quick Overview
Design a distributed content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Booking.com
September 10, 20257
6
2,753 solved
Design a distributed content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
ML system design at Booking.com goes beyond model selection. This Technical Screen question evaluates your ability to design end-to-end ML pipelines, from data collection to model serving, while considering production constraints like latency and reliability.
What the Interviewer Expects
- Design the full ML lifecycle from data collection to model monitoring
- Address cold start, exploration/exploitation, and model freshness
- Discuss multi-objective optimization and ranking systems
- Plan for model debugging, fairness, and bias mitigation
- Design the feature store and training pipeline for scale
- Address model versioning, canary deployments, and rollback strategies
- Discuss the data flywheel and long-term system evolution
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
- What would you do if model performance degrades over time?
- How would you handle the cold start problem?
- How would you handle a 10x increase in prediction requests?
- How would you debug a model that works well offline but poorly online?
Practice a Similar Problem on Codemia
Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.
Solve on CodemiaSample Answer
Requirements
Functional Requirements
- Content Delivery: Serve millions of user requests for booking-related content, including images, reviews, and pricing information, with low latency.
- **Dynamic Con...
Capacity Estimation
Assuming Booking.com handles 100 million daily users.
- Daily Requests: Each user makes an average of 10 requests, leading to approximately 1 billion requests per day.
- Peak Traffic: Assume p...
Submit Your Answer
