Workshop

On Demand: Build AI Agents in Kubernetes

Learn how to design and deploy AI agents directly in Kubernetes in this live, hands-on workshop with Lin Sun and Christian Posta. You'll work through the foundational building blocks of agentic systems—agents, tool integrations (MCP), and gateways—while gaining a practical understanding of how these components fit together in real environments. This session focuses on getting you hands-on with the core primitives so you can confidently start building and iterating on your own agent-based systems.

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In this workshop, you will:

  • Deploy and explore AI agents in Kubernetes using kagent
  • Inspect and understand agent configuration, including models, YAML, and tool connections
  • Learn the challenges of running MCP services in Kubernetes and simplify them with kmcp
  • Install and configure agentgateway to expose and route agent traffic
  • Work across both local and Kubernetes environments using real configurations
  • Build and run a functional agent setup that forms the foundation for more advanced systems

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By the end, you'll have a working foundation for running AI agents in Kubernetes—and a clear path to expanding it into more complete, production-ready systems.

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Frequently asked questions

What do I need to build AI agents on Kubernetes?

A Kubernetes cluster (a local cluster works), access to an LLM provider, and kagent to define and run agents declaratively. The workshop walks through agent configuration, including models, YAML, and tool connections, so basic kubectl familiarity is enough to follow along.

Where do MCP and agentgateway fit?

MCP (Model Context Protocol) is how AI agents discover and call tools, and kmcp simplifies building and running MCP servers in Kubernetes. agentgateway sits in front of agents, MCP servers, and LLMs to route, secure, and observe that traffic, giving you a production-ready control point as your agent system grows.

Is this workshop suitable for beginners?

Yes, for engineers who are new to AI agents. It is hands-on and focuses on the core building blocks: agents, MCP tools, and gateways. Some familiarity with Kubernetes and YAML helps, but no prior experience with agent frameworks is required.

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On Demand: Build AI Agents in Kubernetes
On Demand: Build AI Agents in Kubernetes
Workshop
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Speakers

Lin Sun
Lin Sun
Director of Open-Source
Lin is the Head of Open Source at Solo.io, contributing full-time to the open-source community. She serves on the CNCF Technical Oversight Committee (TOC), is a CNCF Ambassador, and is a maintainer for Istio, kgateway, and kagent. An international speaker at tech conferences, Lin frequently blogs about gateways, service meshes, cloud-native connectivity, AI agents, and MCP. She is the author of "Sidecar-less Istio Explained", is currently writing "AI Agents in Kubernetes", and holds more than 200 patents.
Christian Posta
Christian Posta
VP, Global Field CTO
Christian Posta (@christianposta) is Global Field CTO at Solo.io supporting customers and end users in their adoption of cloud-native technologies. He is an author for Manning and O’Reilly publications, open source contributor, blogger and sought after speaker on Envoy Proxy and Kubernetes technologies. Prior to Solo.io, Chrisitian was a Chief Architect at Red Hat, FuseSource and held engineering positions at organizations like Wells Fargo, Apollo Group, Intel.

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