OSS + ELC EU 2026

Agentic AI systems are rapidly evolving from research experiments into production workloads. However, while building a proof-of-concept agent can take only a few hours, building a reliable, scalable, and observable agentic platform remains a significant challenge.

This session explores how modern open source technologies can be combined to build production-ready agentic systems on Kubernetes. We will walk through a complete architecture that includes large language models, agent orchestration, retrieval systems, tool execution, memory management, observability, and infrastructure automation.

Using technologies such as Kubernetes, Kubeflow, LangGraph, Model Context Protocol (MCP), vector databases, and open-source serving frameworks, we will demonstrate how to move from a simple agent prototype to a resilient platform capable of supporting enterprise-scale workloads.