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
September 1, 202531
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
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- 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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Requirements
Functional Requirements
- Order Submission: IoT devices must be able to submit orders in real-time.
- 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...