As AI agents transition from prototypes to production, infrastructure needs shift toward low-latency secure communication, standards-based interoperability (A2A and MCP), and enterprise-ready governance with full observability at scale.

This session presents a practical stack for real-world AI agent deployments, built on three open-source components:

k0s: A lightweight, CNCF-aligned Kubernetes distribution ideal for edge and hybrid setups with minimal ops overhead.

kgateway: A modern, lightweight gateway built for Kubernetes and agentic workloads, fine-grained traffic routing.

AgentGateway: An AI-native data plane purpose-built for agent-to-agent (A2A) and multi-component (MCP) workflows, enabling governance and policy enforcement where API gateways fall short.

Together, they form a golden foundation for scalable, secure, and standards-aligned agent infrastructure. The session covers architecture patterns, lessons learned, and best practices from production AI deployments.