Architect a low-latency Load Balancing Engine

Last updated: December 7, 2025

Quick Overview

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

Expedia
System Design
Software Engineer
Expedia
December 7, 2025
Software Engineer
System Design Round
System Design
Easy

5

8

876 solved


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

Expedia asks this during the System Design Round to assess your understanding of the full ML lifecycle. They want to see how you translate a business problem into an ML objective, design the feature pipeline, and plan for model monitoring and retraining.

What the Interviewer Expects
  • Map the business problem to a concrete ML objective
  • Propose reasonable features and a baseline model
  • Discuss basic model evaluation metrics
  • Outline a simple serving architecture
Key Topics to Cover
A/B testing and experimentation
Training pipeline and infrastructure
Monitoring and model degradation detection
Online vs offline evaluation
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • What is your model retraining strategy?
  • How would you handle the cold start problem?
  • How would you handle a 10x increase in prediction requests?
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Sample Answer
Requirements

Functional Requirements

  1. Request Routing: The load balancer must route incoming traffic to the most appropriate backend server based on predefined rules.
  2. Health Checks: The system mus...
Capacity Estimation

To estimate capacity, consider the following:

  • Expected Peak Requests: Assume 10 million requests per second.
  • Average Request Size: Assume an average request size of 1KB.
  • **Total Data Thr...

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