Architect a real-time Search Engine
Last updated: May 3, 2026
Quick Overview
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zillow
May 3, 202610
8
849 solved
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zillow asks this during the Technical Screen 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
- Explain the concept clearly with a practical example
- Discuss when and why to apply this principle
- Identify common mistakes and anti-patterns
- Compare with alternative approaches
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 measure the performance of this component in production?
- How would this design change if the team size doubled?
- How would you handle backward compatibility?
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Core Design Principles
For designing a real-time search engine at Zillow, two core design principles apply: Scalability and Availability.
- Scalability: The system must efficiently handle millions of simultan...
Architecture
The architecture for Zillow's real-time search engine would be a microservices-based architecture. This involves breaking down the search functionality into smaller, independent services that can ...
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