Cache Stampede Prevention: Protecting Your Cache
Learn how single-flight, request coalescing, and probabilistic early expiration prevent cache stampedes that can overwhelm your database.
Learn how single-flight, request coalescing, and probabilistic early expiration prevent cache stampedes that can overwhelm your database.
A practical introduction to distributed systems fundamentals. Learn about failure modes, replication strategies, consensus algorithms, and the core challenges of building distributed software.
Explore the classic assumptions developers make about networked systems that lead to failures. Learn how to avoid these pitfalls in distributed architecture.
Learn how gossip protocols enable scalable state sharing in distributed systems. Covers epidemic broadcast, anti-entropy, SWIM failure detection, and real-world applications like Cassandra and Consul.
Understand the fundamental differences between monolithic and microservices architectures, their trade-offs, and how to decide which approach fits your project.
A practical learning path covering relational modeling, NoSQL patterns, indexing strategies, query optimization, and distributed data systems — everything you need to design databases that actually hold up under production load.
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.