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.
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.
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