Agents in Kubernetes 101 - A Crash Course on Cloud Native AI Agents

Learn about AI agents and their implementation in Kubernetes environments through this 23-minute conference talk from KubeCon + CloudNativeCon. Discover what AI agents are as programs that utilize large language models (LLMs) to interact with tools, retrieve data, and communicate with other agents. Explore the practical benefits of deploying AI agents on Kubernetes for automation and reduced operational complexity. Understand how to build Kubernetes-native agents using CNCF tools such as Kagent, and examine emerging protocols including Model Context Protocol (MCP) and Agent to Agent (A2A). Gain insights into the CNCF Working Group on AI's efforts to establish guidelines and publish whitepapers covering security, sustainability, and agent implementation best practices. Bridge the gap between AI concepts and practical cloud native implementations to build foundational knowledge for developing autonomous cloud-native AI applications, regardless of your experience level with Kubernetes or AI technologies.