Operationalize AI agents with OpenShift and Kubernetes primitives

This blog post discusses operationalizing AI agents using Red Hat OpenShift and Kubernetes, emphasizing the benefits of externalized configuration management for AIOps systems. It explains how to handle model swaps, routing rules, and specialist knowledge updates without downtime, showcasing operational agility and efficient management of AI workflows. The article is part 2 of a series aimed at enhancing AI operations with practical examples and best practices.