Design Ride Matching Infrastructure for IoT devices
Last updated: October 20, 2025
Quick Overview
Design a geo-distributed ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zillow
October 20, 20254
5
234 solved
Design a geo-distributed ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zillow asks this during the System Design Round to assess your depth in software engineering. They want to see understanding of design patterns, system architecture, and the trade-offs involved in different technical approaches.
What the Interviewer Expects
- Apply engineering principles to a realistic design scenario
- Discuss trade-offs between different approaches with concrete examples
- Demonstrate understanding of testability, maintainability, and extensibility
- Connect theoretical concepts to production engineering practices
- Discuss how the approach scales with team and codebase size
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- How would you handle backward compatibility?
- What are the security implications of this design?
- How would you document this for other engineers?
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Core Design Principles
For the ride matching infrastructure at Zillow, the following core design principles apply:
- Single Responsibility Principle (SRP): Each component of the ride matching system should focus on a ...
Architecture
The architectural approach for this geo-distributed ride matching system will leverage a microservices architecture. Key components include:
- API Gateway: Acts as a single entry point for all r...