Master distributed systems with this comprehensive learning path covering CAP theorem, consensus algorithms, distributed transactions, clock synchronization, and fault tolerance patterns.
A practical learning path for decomposing monoliths, designing service boundaries, handling distributed data, deploying at scale, and keeping a microservices system healthy in production.
Learn how API gateways work, when to use them, architecture patterns, failure scenarios, and implementation strategies for production microservices.
Master system design with this comprehensive learning path covering distributed systems, scalability, databases, caching, messaging, and real-world case studies for interview prep.
Learn essential high availability patterns including redundancy, failover, load balancing, and SLA calculations. Practical strategies for building systems that stay online.
Learn about strong, weak, eventual, and causal consistency models. Understand read-your-writes, monotonic reads, and picking the right model for your system.
Learn how consistent hashing works in caches, databases, and CDNs, including hash rings, virtual nodes, node additions, and redistribution strategies.
Deep dive into chat system design. Learn about WebSocket management, message delivery, presence systems, scalability patterns, and E2E encryption.
Deep dive into Netflix architecture. Learn about content delivery, CDN design, microservices, recommendation systems, and streaming protocols.
Deep dive into Twitter system design. Learn about feed generation, fan-out, timeline computation, search, notifications, and scaling challenges.