Neo Kim’s system‑design list
Neo Kim shared 19 essential system‑design case studies — from YouTube and Google Docs to Kafka, Uber ETA and ChatGPT — with direct deep‑dive links that map to common interview prompts. It’s a compact reading list for building system‑design instincts at scale. (x.com)
Neo Kim publishes The System Design Newsletter on Substack and the publication shows “hundreds of thousands” of subscribers and a steady cadence of technical case studies and templates. (newsletter.systemdesign.one) A single curated list ties concrete, high‑scale case studies to measurable numbers—YouTube (2.49 billion users), Tinder (1.6 billion swipes per day), Cloudflare (55 million requests/sec using 15 Postgres clusters) and Disney+ Hotstar (5 billion emojis delivered in real time). (substack.com) Neo offers a free “system design playbook” and explicit templates that map case studies to interview tasks, and his posts repeatedly invite engineers to download that playbook (the newsletter has promoted the template to 100,000+ engineers in past posts). (newsletter.systemdesign.one) The author maintains a public GitHub account and repo (systemdesign42/systemdesign42) that advertises “Join 200,000+ engineers” for the playbook, while community forks and third‑party mirrors (e.g., Caliber‑X and zerocodes forks) have replicated the syllabus for classroom or interview prep use. (github.com) Several list entries double as interview prompts focused on clear engineering lessons—Uber’s ETA system (described at ~500,000 requests/sec) and Uber’s nearby‑driver index (≈1,000,000 requests/sec) are used to teach spatial indexing, stream processing and rate‑limit strategies. (substack.com) Many posts link to deep‑dive explainers that highlight real tooling choices used in production, for example the YouTube case study emphasizes Vitess as the MySQL scaling layer that enabled serving billions of users. (youtube.com)
