MLflow & Agent Observability

Interactive demo•1 min• Red Hat Enterprise Linux

Veröffentlicht am May 10, 2026 von Roberto Carratalá

Explore how MLflow supports AgentOps by helping you evaluate and compare AI model performance. This demo shows how to navigate experiments, review metrics, and analyze runs - making it easier to understand and improve your models.
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About the author of this page

Roberto Carratalá, Cloud Services Black Belt, Red Hat headshot

Roberto Carratalá

Principal AI Architect - AI BU

Roberto is a Principal AI Architect working in the AI Business Unit specializing in Container Orchestration Platforms (OpenShift & Kubernetes), AI/ML, DevSecOps, and CI/CD. With over 10 years of experience in system administration, cloud infrastructure, and AI/ML, he holds two MSc degrees in Tel...