System Design Mastery
Build scalable architecture patterns and design resilient distributed systems with practical techniques for enterprise-level applications.
Start the GuideBuild scalable architecture patterns and design resilient distributed systems with practical techniques for enterprise-level applications.
Start the GuideSystem design is the process of defining components, modules, interfaces, and data for a system to satisfy specified requirements. This guide covers architectural patterns, scalability principles, fault tolerance, and performance optimization for large-scale software systems.
Learn to evaluate tradeoffs between monolithic vs microservices architectures, balance high availability with latency concerns, and implement robust monitoring and backup strategies for mission-critical systems.
14 Chapters
Complete Guide
Master these fundamental building blocks of large-scale distributed systems
Vertical vs horizontal scaling techniques, load balancing, auto-scaling, and rate limiting strategies for high-traffic systems.
CAP theorem fundamentals, eventual consistency vs strong consistency patterns, conflict resolution strategies, and distributed consensus algorithms.
Redundancy patterns, replication strategies, failover mechanisms, circuit breakers, and health check architectures for resilient distributed systems.
Architecting for performance, reliability, and maintainability through foundational design principles
Decompose complex systems into manageable, loosely-coupled components to enable independent development and deployment
Understand tradeoffs between Consistency, Availability, and Partition Tolerance in distributed systems
Optimize read performance with multi-level caching strategies including in-memory, distributed, and edge caches
Design data sharding and partitioning strategies to scale databases, handle large datasets
Deep dive into specialized architecture patterns and scalability techniques
Implement advanced service-to-service communication patterns using technologies like Istio and Linkerd
Implement application performance monitoring with distributed request tracing for microservices
Design event-driven architectures with event sourcing patterns for persistent state management
Apply principles to practical implementation examples for different system types
Design a global CDN using edge caching, Anycast routing, and content pre-warming techniques for media delivery