Design a multi-tenant Order Processing System
Last updated: July 26, 2025
Quick Overview
Design a multi-tenant order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HashiCorp
July 26, 2025353
8
1,986 solved
Design a multi-tenant order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HashiCorp 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
- 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
- How would you handle schema migrations with zero downtime?
- How would you optimize costs as the system scales?
- What would the deployment pipeline look like for this system?
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Requirements
Functional Requirements
- Multi-Tenancy Support: The system should support multiple tenants, allowing them to manage their orders independently.
- Order Management: Tenants can create, r...
Capacity Estimation
Assuming the system needs to handle 1 million orders per day:
- Requests Per Second (QPS):
- 1 million orders / 24 hours = ~11.57 orders/second
- Considering peak times, we should estimate ...
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