System Design for Developers

System Design for Developers is the guide to designing large-scale distributed systems — whether for a real project or for technical interviews at top tech companies. This book covers: - Scalability fundamentals: vertical vs. horizontal scaling - Load balancing strategies and algorithms - Database scaling: sharding, replication, read replicas - Caching architectures: CDN, application cache, database cache - Message queues and event-driven architectures - Microservices vs. monolith: when to split - API gateways and service mesh - CAP theorem and consistency trade-offs - Real-world case studies: design Twitter, YouTube, Uber, and more - System design interview frameworks - Back-of-envelope calculation techniques - Building for 99.9% vs. 99.99% availability