Design an online ticket marketplace

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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.

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.

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.

Read the full Walmart Labs Software Engineer interview experience this question came from

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Walmart Labs
Mar 4, 2026
mediumSoftware EngineerTechnical ScreenSystem Design
15
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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