Uber's Architecture: From Monolith to Microservices at Scale
Explore how Uber evolved from a monolith to a microservices architecture handling millions of real-time marketplace transactions daily.
Posts tagged with #distributed-systems
Vector Clocks: Detecting Concurrent Updates in Distributed Systems
Learn how vector clocks track full causal history to detect concurrent updates, enable conflict detection, and support automatic conflict resolution in distributed databases.
View-Stamped Replication
View-Stamped Replication (VSR) is a distributed consensus protocol that uses views and timestamps to achieve agreement in asynchronous systems.
Distributed Systems Roadmap: From Consistency Models to Consensus Algorithms
Master distributed systems with this comprehensive learning path covering CAP theorem, consensus algorithms, distributed transactions, clock synchronization, and fault tolerance patterns.
Microservices Architecture Roadmap: From Monolith to Distributed Systems
A practical learning path for decomposing monoliths, designing service boundaries, handling distributed data, deploying at scale, and keeping a microservices system healthy in production.
System Design Roadmap: From Fundamentals to Distributed Systems Mastery
Master system design with this comprehensive learning path covering distributed systems, scalability, databases, caching, messaging, and real-world case studies for interview prep.
Apache Kafka: Distributed Streaming Platform
Learn how Apache Kafka handles distributed streaming with partitions, consumer groups, exactly-once semantics, and event-driven architecture patterns.
Consistency Models in Distributed Systems: Complete Guide
Learn about strong, weak, eventual, and causal consistency models. Understand read-your-writes, monotonic reads, and picking the right model for your system.
Consistent Hashing: Data Distribution Across Systems
Learn how consistent hashing works in caches, databases, and CDNs, including hash rings, virtual nodes, node additions, and redistribution strategies.
Database Replication: Master-Slave and Failover Patterns
Database replication explained: master-slave, multi-master, synchronous vs asynchronous strategies, failover patterns, and consistency.