Master the art of building systems that scale. From CAP theorem to consensus algorithms, learn how companies like Netflix, Uber, and WhatsApp architect their infrastructure.
Welcome to ScaleWiki, the definitive system design encyclopedia created for software engineers, architects, and technical leaders. Designing applications that scale to millions of users requires a deep understanding of distributed systems, from the foundational theories like the CAP Theorem and Paxos/Raft consensus, to practical implementations involving database sharding, consistent hashing, and caching strategies.
Modern software architecture moves fast, and interview preparation or production troubleshooting often demands more than just superficial explanations. Our meticulously researched database features over 80 in-depth articles, interactive diagrams, and real-world case studies breaking down the exact architectural decisions made by industry giants like Netflix, Uber, and WhatsApp.
Whether you are optimizing a microservices architecture, investigating the internal mechanics of a Write-Ahead Log (WAL), or preparing for a rigorous senior engineering system design interview, ScaleWiki provides the high-fidelity technical knowledge you need. Explore our curated categories below to begin mastering the art of massive scale.
Deep dives into massive scale systems like Uber, Netflix, and WhatsApp.
The building blocks of distributed systems.
Data structures and consensus protocols for scale.
Databases, replication, and storage engines.
Protocols, APIs, and messaging.
Additional topics.