Build a low-latency URL Shortening Pipeline
Last updated: April 18, 2026
Quick Overview
Design a low-latency url shortening system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zoom
April 18, 2026503
5
1,972 solved
Design a low-latency url shortening system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zoom 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
- Design a complex system component applying multiple engineering principles
- Reason about system-level trade-offs: performance, reliability, developer experience
- Discuss advanced patterns: event sourcing, CQRS, distributed transactions
- Address cross-cutting concerns: observability, security, backward compatibility
- Demonstrate depth in both theoretical foundations and practical implementation
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
- What testing strategy would you use for this component?
- What are the security implications of this design?
- How would you handle backward compatibility?
- How would you document this for other engineers?
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Core Design Principles
In designing a low-latency URL shortening system for Zoom, we must adhere to several core design principles:
- Single Responsibility Principle: Each component in our architecture should have a s...
Architecture
For the URL shortening service at Zoom, we will adopt a microservices architecture:
- API Gateway: This will handle incoming requests, routing them to the appropriate microservice (e.g., URL sho...