Design Order Processing Infrastructure for IoT devices

Last updated: September 1, 2025

Quick Overview

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

Microsoft
System Design
Software Engineer
Microsoft
September 1, 2025
Software Engineer
System Design Round
System Design
Easy

31

9

3,123 solved


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

Microsoft asks this during the System Design Round to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.

What the Interviewer Expects
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Load balancing and horizontal scaling
API design and rate limiting
High-level architecture and component design
Failure handling and fault tolerance
Caching strategies (local, distributed, CDN)
Monitoring, logging, and alerting
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 migrate from a monolithic to a microservices architecture?
  • How would you implement rate limiting to protect the system?
  • How do you ensure data consistency across multiple services?
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Sample Answer
Requirements

Functional Requirements

  1. Order Submission: IoT devices must be able to submit orders in real-time.
  2. Order Processing: System must process orders and trigger necessary workflows (invent...
Capacity Estimation

Assuming we have:

  • 10 million IoT devices each sending orders at peak times.
  • Each device sends an order every 5 seconds during peak hours.

Calculation:

  • Requests per second (RPS) = 10,000...

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