Revisiting Message Brokers for AI Inference
Over the past decade, message brokers have quietly powered some of the most scalable systems we’ve built—handling events, decoupling services, and enabling distributed architectures. But with the rapid rise of AI inference systems, especially around LLMs and real-time ML, their role is being redefined. This isn’t just another “tech trend.” It’s a structural shift in how backend systems are designed. And for senior developers, the question is no longer “Should I learn AI?” It’s: “How do I adapt...
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