Discover how to take your Spring Boot GraphQL APIs to the next level with Apollo Federation. This article dives deep into building federated subgraphs, handling distributed schemas, and integrating multiple services seamlessly. Perfect for developers seeking scalable, future-proof API architectures beyond REST.
Introduction Spring Boot has become the de facto framework for building Java-based microservices and web backends, thanks to its convention-over-configuration […]
Discover how the IT world is wrestling with the great return-to-office debate of 2025. From Amazon’s rigid five-day mandates to Pinterest’s remote-first boldness, this article delves into the clash over productivity, trust, and culture. Explore hybrid models, career growth dilemmas, and psychological safety challenges that shape modern work. Gain insights into outcome-based leadership and learn how top tech firms balance flexibility with collaboration: Join the debate and redefine future of work.
In today’s landscape of distributed microservices, ensuring data consistency across multiple services without sacrificing scalability is a formidable challenge. The Saga pattern offers a pragmatic solution by breaking down a global transaction into a sequence of local transactions, each with its own compensating action in case of failure. In this article, we’ll explore the orchestration-style Saga, implement an orchestrator in Node.js using Express, dive into code examples demonstrating step-by-step transaction management and failure recovery, and discuss best practices for testing, observability, and extending the pattern in real-world scenarios. Whether you’re grappling with complex workflows or seeking resilient transaction strategies, this deep dive will equip you with the tools to orchestrate reliable distributed transactions in your microservices architecture.
