Centralized vs Distributed VCS: Architecture, Trade-offs, and When to Use Each
Compare centralized (SVN, CVS) vs distributed (Git, Mercurial) version control systems — their architectures, trade-offs, and when to use each approach.
Compare centralized (SVN, CVS) vs distributed (Git, Mercurial) version control systems — their architectures, trade-offs, and when to use each approach.
Explain Git's three-state architecture with diagrams and practical examples — understand how files flow between working, staging, and committed states.
Separate read and write models. Command vs query models, eventual consistency implications, event sourcing integration, and when CQRS makes sense.
Storing state changes as immutable events. Event store implementation, event replay, schema evolution, and comparison with traditional CRUD approaches.
Learn how Amazon pioneered service-oriented architecture, the famous 'two-pizza team' rule, and how they built the foundation for AWS.
Deep dive into asynchronous communication patterns for microservices including event-driven architecture, message queues, and choreography vs orchestration.
Explore client-side service discovery patterns, how clients directly query the service registry, and when this approach works best.
Learn about Command Query Responsibility Segregation and Event Sourcing patterns for managing distributed data in microservices architectures.
Learn how to implement the database per service pattern, manage data ownership, handle cross-service queries, and maintain data consistency.
A practical introduction to distributed systems fundamentals. Learn about failure modes, replication strategies, consensus algorithms, and the core challenges of building distributed software.