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Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s terms what an event-driven architecture (EDA) is and contrast it with service-oriented architecture (SOA). On a humorous note, perhaps SOA should really be called CDA for client-driven architecture.
Service Oriented Architecture (SOA) was the great hope of organizations decades ago when they sought to advance legacy system integration, reduce and bypass layers, and rapidly access the system of record. The post Microservices: The Advantages of SOA Without Its Drawbacks appeared first on DevOps.com.
Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.
Architectures is now out from O'Reilly as of this month. Amazon UK nearly sold out almost immediately and we're making it standard issue for the architecture course at Web 2.0 architectures in design pattern form (in fact, the book was originally entitled Web 2.0 Architectures Hacking the Web's Network Effect.
The problem lies in our classical views of enterprise architecture and business architecture both. and SOA is one that I deeply explored in the 2005-2007 timeframe, and my ideas on this even made the cover story of the SOA/Web Services Journal at one point. As against the simpler, fractal approach of ecosystems?
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