CQRS and Event Sourcing: Distributed Data Management
Learn about Command Query Responsibility Segregation and Event Sourcing patterns for managing distributed data in microservices architectures.
Learn about Command Query Responsibility Segregation and Event Sourcing patterns for managing distributed data in microservices architectures.
Learn how CRDTs enable strongly consistent eventual consistency in distributed databases. Explore G-Counters, PN-Counters, LWW-Registers, OR-Sets, and practical applications.
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.
Learn how DNS-based service discovery works in microservices platforms like Kubernetes, Consul, and etcd, including DNS naming conventions and SRV records.
Deep dive into etcd architecture using Raft consensus, watches for reactive configuration, leader election patterns, and Kubernetes integration.
Explore exactly-once semantics in distributed messaging - why it's hard, how Kafka and SQS approach it, and practical patterns for deduplication.
Explore the classic assumptions developers make about networked systems that lead to failures. Learn how to avoid these pitfalls in distributed architecture.
The FLP impossibility theorem proves that no consensus algorithm can guarantee termination in an asynchronous system with even one faulty process.
Discover GitOps principles and practices for managing microservices infrastructure using Git as the single source of truth.