Design a low-latency Inventory Management System
Last updated: July 21, 2025
Quick Overview
Design a low-latency inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HashiCorp
July 21, 202511
12
2,672 solved
Design a low-latency inventory management 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 HashiCorp. 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. HashiCorp values engineers who can think about scalability from day one.
What the Interviewer Expects
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
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 would the deployment pipeline look like for this system?
- How would you handle a region-wide outage?
- How would you migrate from a monolithic to a microservices architecture?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements:
- Real-time Inventory Updates: The system should provide real-time updates on inventory levels when items are added, sold, or modified.
- Search and Filter: User...
Capacity Estimation
Assuming HashiCorp manages inventory for multiple products across various regions:
- Users: 1 million active users.
- Requests Per User: Average of 5 requests per minute.
- Peak Load: 10x ...
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