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Design an online ticket marketplace

Last updated: Mar 29, 2026

Quick Overview

This question evaluates system design and distributed systems skills, including scalability, high-availability architecture, concurrency control to prevent overselling, data modeling, API design, security and observability for an online ticket marketplace.

  • medium
  • Walmart Labs
  • System Design
  • Software Engineer

Design an online ticket marketplace

Company: Walmart Labs

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Design a Ticketmaster-like system for discovering events and buying tickets. Your design should cover: - Functional requirements (e.g., browse/search events, view seating/sections, select seats or quantity, checkout, payment, confirmation, ticket delivery, cancellations/refunds). - Non-functional requirements (e.g., high availability, low latency browsing, correctness under high contention for popular events, scalability for spikes/queueing, security/fraud prevention, observability). - Data model (key entities and relationships). - Core APIs (request/response shapes at a high level). - High-level architecture diagram and key components. - How you prevent overselling and handle concurrent seat purchases. - Any tradeoffs (consistency vs availability) and failure handling.

Quick Answer: This question evaluates system design and distributed systems skills, including scalability, high-availability architecture, concurrency control to prevent overselling, data modeling, API design, security and observability for an online ticket marketplace.

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Walmart Labs logo
Walmart Labs
Mar 4, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
9
0

Design a Ticketmaster-like system for discovering events and buying tickets.

Your design should cover:

  • Functional requirements (e.g., browse/search events, view seating/sections, select seats or quantity, checkout, payment, confirmation, ticket delivery, cancellations/refunds).
  • Non-functional requirements (e.g., high availability, low latency browsing, correctness under high contention for popular events, scalability for spikes/queueing, security/fraud prevention, observability).
  • Data model (key entities and relationships).
  • Core APIs (request/response shapes at a high level).
  • High-level architecture diagram and key components.
  • How you prevent overselling and handle concurrent seat purchases.
  • Any tradeoffs (consistency vs availability) and failure handling.

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