Agentic AI is all the hype right now, but how do you actually implement such a system for real enterprise use cases?

The challenge for developers, architects and platform engineers alike lies in custom building agents, and even more so, orchestrating these agents to collaborate effectively towards a common goal. Unfortunately though, despite all the promises from vendors, a "one-size-fits-all" or “off-the-shelf” approach just doesn't work due to the complex nature of software. In addition, just like traditional apps, these agentic systems will likely need to be deployed, managed and observed in cloud environments.

In this session we'll explore:
* The spectrum of Agentic AI patterns
* A real world-ish implementation of a highly performant agentic system with Java
* Deploying this agentic system to Kubernetes
* Other considerations such as observability and fault tolerance to get it all running smoothly in production.