Design a Order Processing Service
Last updated: June 6, 2026
Quick Overview
Design a geo-distributed order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Doordash
June 6, 20260
5
1,287 solved
Design a geo-distributed order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from Doordash's Onsite tests whether you can reason about software design at a deep level. The interviewer expects discussion of maintainability, testability, and operational considerations.
What the Interviewer Expects
- Explain the concept clearly with a practical example
- Discuss when and why to apply this principle
- Identify common mistakes and anti-patterns
- Compare with alternative approaches
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- How would you document this for other engineers?
- How would this design change if the team size doubled?
- How would you handle backward compatibility?
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Core Design Principles
For the Order Processing Service at DoorDash, the key design principles include:
- Separation of Concerns: This enables the system to handle distinct functionalities like order placement, payment ...
Architecture
The architecture of the Order Processing Service will follow a microservices pattern. Each service will be deployed independently across multiple regions to minimize latency for users and ensure high ...
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