Design a scalable Content Delivery System
Last updated: October 14, 2025
Quick Overview
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Coinbase
October 14, 202544
0
2,877 solved
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Technical Screen at Coinbase. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Coinbase values engineers who can think about scalability from day one.
What the Interviewer Expects
- Clearly define functional and non-functional requirements
- Propose a reasonable high-level architecture with core components
- Choose appropriate data storage solutions with basic justification
- Discuss basic scaling strategies (horizontal scaling, caching)
- Identify potential bottlenecks and suggest simple solutions
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 optimize costs as the system scales?
- How do you ensure data consistency across multiple services?
- How would you handle a 10x increase in traffic overnight?
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Requirements
- Functional Requirements:
- Support for delivering various types of content (e.g., images, videos, documents) to users with low latency.
- RESTful API to retrieve content, with support for pa...
Capacity Estimation
Assuming Coinbase has approximately 5 million active users, and each user makes an average of 10 requests per day:
- Total Requests per Day: 5 million users * 10 requests = 50 million requests/day...