Architect a real-time Search Engine
Last updated: October 29, 2025
Quick Overview
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise
October 29, 202524
4
2,297 solved
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise asks this during the Onsite 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 document this for other engineers?
- What testing strategy would you use for this component?
- How would you handle backward compatibility?
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Core Design Principles
For the real-time search engine at Cruise, we will apply the CAP theorem (Consistency, Availability, Partition tolerance) as our primary design principle. Given that we expect millions of requests...
Architecture
The architecture for the search engine will utilize a microservices approach, where each service is responsible for different components of the search functionality. We will implement a **RESTful ...
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