Architect a multi-tenant Order Processing Engine
Last updated: October 2, 2025
Quick Overview
Design a multi-tenant order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Tesla
October 2, 202570
13
523 solved
Design a multi-tenant order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Tesla 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
- 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 a 10x increase in traffic overnight?
- What would the deployment pipeline look like for this system?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Multi-Tenant Support: The system must support multiple tenants (e.g., different Tesla regions or divisions) with data isolation.
- Order Management: Enable creati...
Capacity Estimation
To estimate capacity, we will make the following assumptions:
- Daily Active Users: Assume 10 million users.
- Orders Per User: Assume an average of 1 order per user per day.
- *Peak Traffic...
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