Tag Archives: Distributed Systems

Part 2: Sagas, Fan-In, and Correlation: Solving the Hard Problems of Eventual Consistency in EDA

Choosing event-driven architecture means choosing eventual consistency. The only question is how well you manage it. When payment succeeds but inventory reservation fails, do you refund automatically or let a customer stare at a half-completed order? This guide covers Saga compensation patterns, the callback topic debate (and why it’s really async RPC over event infrastructure), fan-out vs fan-in complexity, and three concrete approaches to multi-topic correlation — with production code in Python, Java, and AWS.

Before You Adopt Event-Driven Architecture: Prerequisites, Red Flags, and Partition Strategy

Most teams adopting event-driven architecture never stop to understand what it actually involves. Before committing to the operational overhead that transforms a three-component system into fifteen, verify you actually have the problems EDA exists to solve. This guide provides a decision framework, prerequisites checklist, and a deep dive into partition strategy — the most consequential design decision you’ll make in EDA.

AWS SQS: Part 1 – Introduction for Developers and Architects

Explore the fundamentals of Amazon SQS, a cornerstone of message queuing within the AWS ecosystem. Learn about its application in microservices, distributed systems, and serverless functions, including the types of queues available, message lifecycle, and the unique features and benefits that SQS offers. Discover how SQS ensures high throughput, system reliability, controlled message delivery, and robust security, making it an essential tool for scalable, reliable, and efficient message handling.