Design Recommendation Infrastructure for real-time analytics
Last updated: January 17, 2026
Quick Overview
Design a real-time recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cockroach Labs
January 17, 202632
3
1,762 solved
Design a real-time recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Software engineering fundamentals questions at Cockroach Labs test your understanding of core CS concepts and their practical application. This Technical Screen question evaluates how you apply engineering principles to build maintainable, scalable software.
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 this design change if the team size doubled?
- What are the security implications of this design?
- What testing strategy would you use for this component?
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Core Design Principles
For the real-time recommendation system, the following core design principles apply:
- SOLID Principles:
- Single Responsibility Principle: Each component (like data ingestion, processi...
Architecture
The architectural approach for this real-time recommendation system at Cockroach Labs can be structured as follows:
- Microservices Architecture: Each service (e.g., User Profile Service, Recomm...
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