Design a large-scale Ride Matching Platform
Last updated: February 7, 2026
Quick Overview
Design a high-throughput ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Roblox
February 7, 202630
6
1,643 solved
Design a high-throughput ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Roblox 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
- 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
- What happens if one of your database nodes goes down?
- How would you implement rate limiting to protect the system?
- How do you ensure data consistency across multiple services?
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Requirements
Functional Requirements
- User Registration and Authentication: Users must be able to create accounts and log in securely.
- Ride Request Submission: Users can submit requests for rides ...
Capacity Estimation
Assuming Roblox's user base is around 200 million active users, if we estimate that:
- 10% of users request a ride daily = 20 million ride requests
- Peak times might see a 4x increase in requ...
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