Design a Content Delivery for Cockroach Labs
Last updated: May 17, 2026
Quick Overview
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cockroach Labs
System Design
Software Engineer
Cockroach Labs
May 17, 2026Software Engineer
System Design Round
System Design
Medium
137
13
782 solved
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cockroach Labs asks this during the System Design Round 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
Requirements gathering and capacity estimation
Message queues and async processing
High-level architecture and component design
Monitoring, logging, and alerting
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 the deployment pipeline look like for this system?
- What monitoring and alerting would you set up on day one?
- How would you implement rate limiting to protect the system?
- How would you optimize costs as the system scales?
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Requirements
Functional Requirements
- Content Delivery: Serve static and dynamic content (e.g., documentation, tutorials, and API references) efficiently to users worldwide.
- User Authentication: A...
Capacity Estimation
Capacity Estimation
- User Base: Assume 10 million monthly active users.
- Requests Per Second (QPS): If each user makes 5 requests on average per day, this results in:
- Daily Reques...
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