Lovisa Johansson is an accomplished expert in RabbitMQ and distributed messaging systems, known for her clear and pedagogical approach to simplifying complex concepts. With over a decade of experience, she is highly regarded for creating widely-adopted educational content that empowers developers globally. Outside of her professional endeavors, Lovisa finds joy in caring for her chickens and enjoys kite surfing adventures.
For years, message queues have been the quiet heroes of the tech world. They are stable, reliable, and working perfectly in the background while everyone else chased flashy frontend trends.
Then came the AI revolution.
Suddenly, everyone started building LLM apps, only to realize that the traditional web instantly breaks under the weight of AI traffic spikes, strict rate limits, and slow response times.
In this talk, we will explore why the AI boom has quietly re-centered the tech universe around message queues.
Using the real-world architecture of 84bot, an AI agent powered by a message broker, we will move past the hype to look at the infrastructure patterns needed to run long-running, multi-step AI workloads reliably and at scale.
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