Design a Inventory Management Service
Last updated: September 4, 2025
Quick Overview
Design a high-throughput inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cloudflare
September 4, 202581
12
192 solved
Design a high-throughput inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cloudflare asks this during the Technical Screen 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
- What happens if one of your database nodes goes down?
- How would you handle a 10x increase in traffic overnight?
- What would the deployment pipeline look like for this system?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements & Constraints
## Functional Requirements - Create/update/read inventory items across multiple warehouses globally - Reserve inventory for orders with rollback capab...
Capacity Estimation
## Traffic Breakdown - **Peak RPS**: 300k requests/second globally (accounting for uneven distribution) - **Regional breakdown**: US-WEST 40%, US-EAST...
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