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:
- Inspiration about the future of message queueing
Target Audience:
- All levels