Design a large-scale Load Balancing Platform
Last updated: March 30, 2026
Quick Overview
Design a multi-tenant load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
NVIDIA
March 30, 2026135
14
3,315 solved
Design a multi-tenant load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
NVIDIA 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
- 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?
- How would you optimize costs as the system scales?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
Functional Requirements
- Multi-Tenant Support: The system must support multiple tenants (e.g., NVIDIA's internal teams, external partners) with isolated environments.
- **Dynamic Load Balan...
Capacity Estimation
To estimate capacity:
- User Base: Assume 1 million active users with a request rate of 10 requests per minute per user.
- Total Requests:
- 1,000,000 users * 10 requests/minute = 10,000...
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