Design a Rate Limiting for Stripe

Last updated: January 17, 2026

Quick Overview

Design a event-driven rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Stripe
System Design
Software Engineer
Stripe
January 17, 2026
Software Engineer
System Design Round
System Design
Easy

25

15

363 solved


Design a event-driven rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Stripe asks this during the System Design Round 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
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Caching strategies (local, distributed, CDN)
Failure handling and fault tolerance
Partitioning and sharding strategies
Monitoring, logging, and alerting
Requirements gathering and capacity estimation
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 monitoring and alerting would you set up on day one?
  • What happens if one of your database nodes goes down?
  • How do you ensure data consistency across multiple services?
  • How would you handle a 10x increase in traffic overnight?
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Sample Answer
Requirements

Functional Requirements:

  1. Rate Limit Policies: Ability to define rate limits per API endpoint based on user type (e.g., individual, business) and usage patterns.
  2. Dynamic Configuration...
Capacity Estimation

Assuming Stripe processes 10 billion API requests per day:

  • Requests per second = 10 billion / (24 * 60 * 60) ≈ 115,740 requests per second.
  • If we assume a rate limit of 100 requests per second...

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