Design a Load Balancing Service

Last updated: February 16, 2026

Quick Overview

Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Microsoft
Software Engineering Fundamentals
Software Engineer
Microsoft
February 16, 2026
Software Engineer
Onsite
Software Engineering Fundamentals
Easy

61

4

518 solved


Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Software engineering fundamentals questions at Microsoft test your understanding of core CS concepts and their practical application. This Onsite question evaluates how you apply engineering principles to build maintainable, scalable software.

What the Interviewer Expects
  • Explain the concept clearly with a practical example
  • Discuss when and why to apply this principle
  • Identify common mistakes and anti-patterns
  • Compare with alternative approaches
Key Topics to Cover
Code review best practices
Design patterns (Factory, Observer, Strategy, etc.)
Performance optimization
API design and RESTful conventions
Testing strategies (unit, integration, e2e)
Concurrency and thread safety
How to Approach This
  1. Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
  2. Choose data structures based on access patterns, not familiarity.
  3. Prefer immutable data and message passing over shared mutable state for concurrency.
  4. Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
  • How would you handle backward compatibility?
  • What testing strategy would you use for this component?
  • How would you document this for other engineers?
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Sample Answer
Core Design Principles

For the load balancing service, the CAP theorem is crucial, as it emphasizes the trade-offs between consistency, availability, and partition tolerance. Given that we expect to handle millions of r...

Architecture

The architecture will utilize a Microservices approach, where the load balancing service is composed of multiple independently deployable services. We can implement a Layered Architecture with...


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