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.
When you start building applications, it’s standard practice to have services talk directly to each other via synchronous HTTP requests. But what happens when a service slows down, goes offline, or experiences a sudden traffic spike? This is where message queues come into play.
This session is a pure introduction to RabbitMQ and the fundamentals of message queuing (AMQP). We will skip the high-level philosophy and focus entirely on breaking down the core concepts from scratch, helping you understand exactly how data moves through a decoupled system.
We will cover:
We will also look at basic Patterns, how to distribute heavy background tasks among multiple workers and how acknowledgments (ACKs) prevent data loss.
This is a back-to-basics session designed for developers who want a solid, technical foundation in how RabbitMQ operates.
Key Takeaways:
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.
Key Takeaways:
Target Audience: