Architect a event-driven Order Processing Engine

Last updated: November 28, 2025

Quick Overview

Design a event-driven order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Discord
System Design
Software Engineer
Discord
November 28, 2025
Software Engineer
Technical Screen
System Design
Medium

5

15

4,421 solved


Design a event-driven order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during Technical Screen at Discord. 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. Discord values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
  • Design a scalable architecture with clear component responsibilities
  • Make well-reasoned database and caching decisions with trade-off analysis
  • Address consistency vs availability trade-offs specific to the use case
  • Discuss partitioning strategy, replication, and data modeling
  • Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
Monitoring, logging, and alerting
High-level architecture and component design
Partitioning and sharding strategies
Message queues and async processing
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 would you implement rate limiting to protect the system?
  • What happens if one of your database nodes goes down?
  • How would you handle a 10x increase in traffic overnight?
  • How do you ensure data consistency across multiple services?
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Sample Answer
Requirements

Functional Requirements

  1. Order Submission: Users can place orders for virtual items in real-time.
  2. Order Status Tracking: Users can check the status of their orders (pending, completed...
Capacity Estimation

Back-of-Envelope Calculations

  • Daily Active Users: Assume 1 million active users on Discord.
  • Order Rate: If 10% of users place an order daily, that results in 100,000 orders.
  • **Peak Q...

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