Design a Feed Generation Service

Last updated: February 19, 2026

Quick Overview

Design a fault-tolerant feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Google
System Design
Software Engineer
Google
February 19, 2026
Software Engineer
Onsite
System Design
Medium

47

4

4,102 solved


Design a fault-tolerant feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Google asks this during the Onsite 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
  • Define clear ML objectives with appropriate loss functions and metrics
  • Design a comprehensive feature engineering pipeline
  • Discuss model selection with trade-offs (complexity vs interpretability vs latency)
  • Plan online and offline evaluation strategies including A/B testing
  • Address serving infrastructure: batch vs real-time, latency requirements
  • Consider data quality, labeling strategy, and feedback loops
Key Topics to Cover
Feedback loops and model retraining
Model selection and architecture
A/B testing and experimentation
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
  • How would you ensure fairness and reduce bias in the model?
  • What would you do if model performance degrades over time?
  • How would you handle a 10x increase in prediction requests?
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Sample Answer
Requirements

Functional Requirements

  1. User Feed Generation: The service should generate personalized feeds for users based on their interactions, preferences, and demographic data.
  2. **Real-time Updates...
Capacity Estimation

Capacity Estimation

Assuming Google has 1 billion active users and that each user requests a feed update every 30 seconds:

  • Total Requests per Second:

    [ ext{Total Requests} = rac{1,0...


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