Design Ride Matching Infrastructure for mobile apps
Last updated: December 30, 2025
Quick Overview
Design a low-latency ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Visa
System Design
Machine Learning Engineer
Visa
December 30, 2025Machine Learning Engineer
Onsite
System Design
Easy
173
15
3,266 solved
Design a low-latency ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Visa 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
Load balancing and horizontal scaling
Consistency models and replication
API design and rate limiting
Message queues and async processing
Partitioning and sharding strategies
High-level architecture and component design
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?
- What would the deployment pipeline look like for this system?
- How do you ensure data consistency across multiple services?
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Requirements
- Functional Requirements:
- Real-time Ride Matching: The system should match riders with drivers in real-time, optimizing for distance and estimated time of arrival (ETA).
- **User Regi...
Capacity Estimation
- User Base: Assume 5 million active users per month.
- Daily Requests: If each user makes an average of 2 ride requests per day, that amounts to 10 million requests daily.
- Peak Load: As...
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