Design URL Shortening Infrastructure for mobile apps

Last updated: November 10, 2025

Quick Overview

Design a distributed url shortening system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Jump Trading
System Design
Software Engineer
Jump Trading
November 10, 2025
Software Engineer
Onsite
System Design
Hard

387

12

3,338 solved


Design a distributed url shortening system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during Onsite at Jump Trading. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Jump Trading values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Requirements gathering and capacity estimation
Monitoring, logging, and alerting
Message queues and async processing
API design and rate limiting
Consistency models and replication
High-level architecture and component design
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How do you ensure data consistency across multiple services?
  • How would you handle a region-wide outage?
  • What happens if one of your database nodes goes down?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For URL Shortening Infrastructure for mobile apps, key functional require...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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