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Advanced~93 min·4 systemsBig Tech Systems Explained
The architectures behind Netflix, TikTok, Airbnb, and the stock exchange — each one a masterclass in a different hard problem at scale.
After this path you will be able to
Understand how the world's most-studied production systems actually work — and use them as reference architectures when an interviewer asks you to design 'something like Netflix' or 'a marketplace like Airbnb'.
Interview approach for this path
- 1.Use the real system as a reference architecture, but make sure you can explain why each design decision was made, not just what it is.
- 2.Identify the one hard problem that makes this system interesting: CDN edge caching for Netflix, fan-out at Twitter scale, marketplace double-booking at Airbnb, microsecond matching at the exchange.
- 3.Explain the bottleneck tier and how the real system solved it. Interviewers want depth on the hardest part, not breadth across the whole thing.
- 4.Address scale numbers honestly. Netflix serves 200M subscribers. The exchange processes millions of orders per second. Make sure your design math supports those numbers.
- 5.Call out the trade-offs the real system made and whether you agree. 'Netflix chose to precompute recommendations offline and accept some staleness, which makes sense because freshness matters less than personalization quality.'
- 6.Finish with what you'd do differently if you were starting from scratch today versus when the system was originally built.
Systems in this path
4 total1
Netflix (Video Streaming)Advanced·25 min
CDN-first, adaptive bitrate, recommendation.
→2
TikTok (For You Feed)Advanced·25 min
Video pipeline, ML-driven recommendation, infinite scroll.
→3
Airbnb (Marketplace)Intermediate·18 min
Geo-search, atomic seat-holds, authorize-then-capture payments, async fan-out.
→4
Stock Exchange (Matching Engine)Advanced·25 min
Single-threaded per-symbol matching, in-memory order book, microsecond latency.
→
Concepts reinforced throughout