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Design a geo-distributed rate limiter

Last updated: Apr 23, 2026

Quick Overview

This question evaluates a candidate's competency in designing geo-distributed, globally consistent rate limiting systems that enforce per-API-key and additional constraints while balancing low-latency request paths and regional failure tolerance.

  • easy
  • Plaid
  • System Design
  • Software Engineer

Design a geo-distributed rate limiter

Company: Plaid

Role: Software Engineer

Category: System Design

Difficulty: easy

Interview Round: Technical Screen

Design a rate limiting system that works across multiple geographic regions (e.g., us-east, eu-west, ap-south). Requirements: - Enforce per-API-key limits (e.g., 100 requests/sec) and possibly additional limits (per-IP, per-endpoint). - Requests can hit any region; the limit should be respected globally (not multiplied by number of regions). - Low latency in the request path; tolerate region failures. Follow-up: You have a worker system that must execute tasks under rate limiting, and you are considering two scheduling strategies: 1) Prioritize tasks with the largest cost/weight first. 2) Prioritize executing as many tasks as possible (maximize throughput / number of tasks). Explain pros/cons of each strategy and when you would choose which.

Quick Answer: This question evaluates a candidate's competency in designing geo-distributed, globally consistent rate limiting systems that enforce per-API-key and additional constraints while balancing low-latency request paths and regional failure tolerance.

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Feb 4, 2026, 12:00 AM
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Technical Screen
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Design a rate limiting system that works across multiple geographic regions (e.g., us-east, eu-west, ap-south).

Requirements:

  • Enforce per-API-key limits (e.g., 100 requests/sec) and possibly additional limits (per-IP, per-endpoint).
  • Requests can hit any region; the limit should be respected globally (not multiplied by number of regions).
  • Low latency in the request path; tolerate region failures.

Follow-up: You have a worker system that must execute tasks under rate limiting, and you are considering two scheduling strategies:

  1. Prioritize tasks with the largest cost/weight first.
  2. Prioritize executing as many tasks as possible (maximize throughput / number of tasks).

Explain pros/cons of each strategy and when you would choose which.

Solution

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