Design a Rate Limiting for Snowflake
Last updated: February 15, 2026
Quick Overview
Design a event-driven rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Snowflake
System Design
Software Engineer
Snowflake
February 15, 2026Software Engineer
Technical Screen
System Design
Medium
7
8
529 solved
Design a event-driven rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Snowflake asks this during the Technical Screen 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
Data collection and labeling strategy
A/B testing and experimentation
Training pipeline and infrastructure
Online vs offline evaluation
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
- What is your model retraining strategy?
- How would you run A/B tests on different model versions?
- How would you handle the cold start problem?
- How would you handle a 10x increase in prediction requests?
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Requirements
- Functional Requirements:
- The system must limit the number of requests from users to prevent abuse and ensure fair resource allocation.
- It should support dynamic rate limiting based...
Capacity Estimation
- User Base and Requests:
- Assume a user base of 1 million users.
- If each user makes an average of 10 requests per minute, that results in 10 million requests per minute.
- Over ...
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