The most popular community resource is the repository. This curated list provides a comprehensive reading list for building scalable, reliable, and performant large-scale systems, featuring case studies from battle-tested systems and serving millions to billions of users.
While not typically free, the principles discussed in this book are foundational. Many developers create summaries or GitHub repos dedicated to DDIA notes. Core Topics to Study foundations of scalable systems pdf github free
You cannot build scalable systems without understanding the trade-offs dictated by computer science theory: The CAP Theorem The most popular community resource is the repository
Complex calculations, serialization/deserialization, or cryptographic operations. Many developers create summaries or GitHub repos dedicated
The fastest database query is the one you never make. Caching stores computed results in ultra-fast, in-memory key-value systems. Cache Topologies
Adding more power (CPU, RAM) to a single machine.
The best way to understand Redis, Kafka, or Nginx is to look at their official GitHub repositories or study open-source reference architectures that deploy these tools via Docker Compose or Kubernetes. Step-by-Step Roadmap to Master Scalability