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.
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
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.
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.

