Case Studies
How the world's most demanding products are engineered — fan-out feeds, real-time messaging, CDNs, ride matching, and search, broken down into the decisions that made them work at scale.
Amazon Shopping Cart
How Amazon handles flash sales, DynamoDB, and Prime Day traffic spikes with microservices and chaos engineering.
Discord Real-Time Communication
How Discord handles 19M+ servers and trillions of messages using Elixir, ScyllaDB, and custom C++ voice infrastructure.
Google Search
How Google handles 8.5B searches/day with Caffeine indexing, PageRank, and distributed infrastructure like Spanner and BigTable.
Netflix Video Streaming
How Netflix delivers content to 250M+ subscribers using Open Connect CDN, chaos engineering, and 500+ microservices.
TikTok Video Delivery
How TikTok's AI-powered recommendation engine and video pipeline serve 1B+ users with personalized content.
Twitter/X News Feed
How Twitter delivers 500M+ tweets/day to hundreds of millions of users using hybrid fan-out strategies.
Uber Ride Matching
How Uber matches riders to drivers in real-time using H3 geospatial indexing, surge pricing, and event-driven architecture.
WhatsApp Real-Time Messaging
How WhatsApp delivers 100B+ messages/day to 2B+ users with only ~50 engineers using Erlang and XMPP.