Client-Side Discovery: Direct Service Routing in Microservices
Explore client-side service discovery patterns, how clients directly query the service registry, and when this approach works best.
Posts tagged with #distributed-systems
Clock Skew in Distributed Systems: Problems and Solutions
Explore how clock skew affects distributed systems, causes silent data corruption, breaks conflict resolution, and what you can do to mitigate these issues.
CQRS and Event Sourcing: Distributed Data Management
Learn about Command Query Responsibility Segregation and Event Sourcing patterns for managing distributed data in microservices architectures.
CRDTs: Conflict-Free Replicated Data Types
Learn how CRDTs enable strongly consistent eventual consistency in distributed databases. Explore G-Counters, PN-Counters, LWW-Registers, OR-Sets, and practical applications.
Distributed Systems Primer: Key Concepts for Modern Architecture
A practical introduction to distributed systems fundamentals. Learn about failure modes, replication strategies, consensus algorithms, and the core challenges of building distributed software.
etcd: Distributed Key-Value Store for Configuration
Deep dive into etcd architecture using Raft consensus, watches for reactive configuration, leader election patterns, and Kubernetes integration.
Exactly-Once Delivery: The Elusive Guarantee
Explore exactly-once semantics in distributed messaging - why it's hard, how Kafka and SQS approach it, and practical patterns for deduplication.
The Eight Fallacies of Distributed Computing
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 Result
The FLP impossibility theorem proves that no consensus algorithm can guarantee termination in an asynchronous system with even one faulty process.
Google Chubby: The Lock Service That Inspired ZooKeeper
Explore Google Chubby's architecture, lock-based coordination, Paxos integration, cell hierarchy, and its influence on distributed systems design.