Design a Rate Limiting Service

Last updated: December 7, 2025

Quick Overview

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

Oracle
System Design
Software Engineer
Oracle
December 7, 2025
Software Engineer
Technical Screen
System Design
Medium

4

15

4,202 solved


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

System design interviews at Oracle typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.

What the Interviewer Expects
  • Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
  • Design a scalable architecture with clear component responsibilities
  • Make well-reasoned database and caching decisions with trade-off analysis
  • Address consistency vs availability trade-offs specific to the use case
  • Discuss partitioning strategy, replication, and data modeling
  • Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
Partitioning and sharding strategies
Security and authentication
High-level architecture and component design
Caching strategies (local, distributed, CDN)
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
  • How do you ensure data consistency across multiple services?
  • How would you implement rate limiting to protect the system?
  • What would the deployment pipeline look like for this system?
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Sample Answer
Requirements
  • Functional Requirements:
    1. Limit the number of requests from a user or IP address to a defined threshold over a specific time window (e.g., 100 requests per minute).
    2. Provide an API f...
Capacity Estimation
  • Estimated Users and Requests:
    Assume Oracle's service has 10 million active users. If each user makes an average of 60 requests per hour, this equates to:

    • Total Requests per Hour = ...

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