[ OK ]f1885f22-5f9a-4fe0-8c3b-f1c31b627528 — full writeup
[ INFO ]category: Behavioral · System Design difficulty: 6 freq: first seen: 2026-01-30
[6][SYSTEM DESIGN]System DesignRate Limiter
$catproblem.md
Netflix — Software Engineer ✅ Passed
Level: Mid-Level
Round: Phone Screen · Type: System Design · Difficulty: 6/10 · Duration: 60 min · Interviewer: Unfriendly
Topics: System Design, Rate Limiter
Location: Los Gatos, CA
Interview date: 2025-02-20
Summary
I had a technical phone screen with Netflix where I was asked about the Log rate limiter. First, we discussed the implementation of the rate limiter itself. Then, we discussed what problems might arise if the data volume is particularly large or if the rate limiter needs to run for a long time. We then discussed how to delete data and I implemented the data deletion part. These were practical questions, and reviewing the system design of rate limiters beforehand was very helpful.
Details
The interview focused on the design and implementation of a log-based rate limiter. I needed to discuss the core implementation, potential issues with large data volumes or long runtimes, and the data deletion process. I implemented the data deletion part during the interview.
Preparation Tips & Key Takeaways
What I Learned
It's important to understand the practical considerations of system design, such as data volume and long-term operation.
Implementing data deletion strategies is a crucial aspect of maintaining system performance.
Recommended Preparation
System Design
Study different rate limiting algorithms, including token bucket, leaky bucket, and log-based rate limiters.
Review strategies for handling large data volumes and long-term data storage.
Coding Practice
Practice implementing rate limiters in a programming language of your choice.
Focus on writing clean, efficient, and scalable code.
Resources I Recommend
System design interview preparation materials.
Articles and blog posts on rate limiting techniques.
Common Pitfalls to Avoid
Neglecting the practical aspects of system design, such as data volume and long-term operation.