Build a high-throughput Inventory Management Pipeline
Last updated: September 25, 2025
Quick Overview
Design a high-throughput inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise
September 25, 202539
7
76 solved
Design a high-throughput inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Cruise typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.
What the Interviewer Expects
- Drive the design discussion proactively with minimal interviewer guidance
- Perform detailed capacity estimation and use it to inform design decisions
- Design for global scale with multi-region deployment and data consistency
- Deep dive into 2-3 critical components with implementation-level detail
- Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
- Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
- Propose a phased rollout plan from MVP to full-scale system
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 do you ensure data consistency across multiple services?
- What monitoring and alerting would you set up on day one?
- What would the deployment pipeline look like for this system?
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Requirements
Functional Requirements:
- High-Throughput Request Handling: The system should handle millions of inventory-related requests per minute, including queries, updates, and deletions.
- **Real-T...
Capacity Estimation
Estimation Calculations:
- Daily Transactions: Let's assume an average of 10 million requests per day, leading to approximately 115 requests per second.
- Data Size: Assuming each invent...
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