Architect a scalable Order Processing Engine
Last updated: April 14, 2026
Quick Overview
Design a scalable order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Anthropic
April 14, 202647
11
3,118 solved
Design a scalable 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 Onsite at Anthropic. 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. Anthropic values engineers who can think about scalability from day one.
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 optimize costs as the system scales?
- How would you implement rate limiting to protect the system?
- How do you ensure data consistency across multiple services?
- How would you handle a region-wide outage?
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Requirements
Functional Requirements
- Order Creation: Users should be able to create, update, and cancel orders through a RESTful API.
- Order Status Tracking: Users can track the status of their or...
Capacity Estimation
Assuming Anthropic anticipates processing 1 million orders per day, we can break down the capacity requirement as follows:
- Peak Load: If we assume peak traffic occurs during a 1-hour window,...
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