Once an AI agent moves beyond a prototype, teams must decide where and how to run it. Should an agentic workload use Azure Container Apps or Azure Kubernetes Service? This session compares both approaches through the lens of production AI agents. We will examine containerization, scaling, networking, workload identity, secrets, observability, resiliency, background workers, tool services, deployment strategies, and cost. Using practical agent architectures, attendees will learn how runtime requirements influence platform selection, how to avoid unnecessary Kubernetes complexity, and when AKS provides the control and extensibility a production system actually requires.

Focus: Choosing and designing the runtime platform for production AI agents using Azure Container Apps or Azure Kubernetes Service.