Agentic AI: Design reliable workflows across the hybrid cloud

This article discusses the design of agentic AI workflows across hybrid cloud environments by parallelly drawing insights from microservices architecture. It emphasizes the importance of decomposing workflows into smaller components, establishing explicit contracts for agents, and adopting reliability patterns to ensure robustness. The discussion includes the role of Red Hat's AI portfolio in supporting these systems, facilitating efficient inference and lifecycle management, while promoting observability and operational excellence in AI applications.