Integration Architecture Types — Explained Through Middleware body { font-family: "Segoe UI", sans-serif; background-color: #f9f9f9; color: #333; padding: 2rem; max-width: 800px; margin: auto; line-height: 1.6; } .episode-container { background: #ffffff; padding: 2rem; border-radius: 12px; box-shadow: 0 4px 16px rgba(0,0,0,0.05); } h1 { font-size: 2rem; color: #222; margin-bottom: 0.5rem; } .tagline { font-size: 1rem; color: #666; margin-bottom: 1.5rem; } .highlight { background-color: #f0f8ff; padding: 0.3rem 0.6rem; border-radius: 6px; font-weight: 500; } ul { margin-top: 1rem; } li { margin-bottom: 0.5rem; } .footer { margin-top: 2rem; font-style: italic; color: #555; } 🎙️ Integration Architecture Types - Explained Through Middleware A behind-the-scenes look at how data flows… and the middleware that makes it possible. What actually happens between systems when data moves from one to another? In this episode of Data Flow Radio, we take a deep dive into the world of integration architecture — but from the unique perspective of middleware. From point-to-point basics to event-driven models and API-led strategies, you’ll discover how middleware platforms like Boomi, Workato, MuleSoft, and Kafka shape the way systems communicate, scale, and evolve. In this episode, you’ll learn: What middleware is and how it operates under different architectures The differences between hub-and-spoke, ESB, event-driven, and API-led models When to use each pattern, and why it matters Real-world examples from modern integration platforms Whether you’re designing integrations, prepping for an interview, or just curious about how things work behind the scenes, this one’s packed with practical insight and clarity. 🎧 Hit play, and let’s keep the data flowing.

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