Build a scalable Content Delivery Pipeline
Last updated: June 4, 2026
Quick Overview
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Robinhood
System Design
Product Manager
Robinhood
June 4, 2026Product Manager
System Design Round
System Design
Hard
87
12
941 solved
Design a scalable content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Robinhood typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.
What the Interviewer Expects
- Drive the design discussion proactively with minimal interviewer guidance
- Perform detailed capacity estimation and use it to inform design decisions
- Design for global scale with multi-region deployment and data consistency
- Deep dive into 2-3 critical components with implementation-level detail
- Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
- Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
- Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Load balancing and horizontal scaling
Database selection and data modeling
Requirements gathering and capacity estimation
Security and authentication
Consistency models and replication
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?
- How would you handle schema migrations with zero downtime?
- What happens if one of your database nodes goes down?
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Requirements
- Functional Requirements:
- The system must serve content (e.g., stock analysis, news articles) to millions of users globally with low latency.
- It should support real-time updates as ...
Capacity Estimation
- User Base: Assume Robinhood has 10 million active users.
- Requests per User: Estimate an average of 5 content requests per user per day.
- Total Daily Requests: 10 million users...
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