AI agents introduce a new generation of distributed systems challenges for platform teams. Moving beyond prototypes requires managing complex interactions across models, MCP servers, and event streams while maintaining security, governance, and cost control.

Co-presented by Red Hat and Kong, this session explores cloud-native patterns for operating autonomous agentic workloads at scale. We examine how open-source projects—including Kubernetes, Knative, Envoy, KServe, and Model Context Protocol (MCP) implementations—establish a robust control plane for AI.

Attendees will learn how AI gateways, MCP gateways, and intelligent LLM routing layers enable policy enforcement, smart model selection, and traffic management. We’ll share a reference architecture demonstrating how to deploy resilient agent swarms across multiple LLM providers using open standards.