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As HPC systems grow in complexity, efficient and manageable operation isincreasingly critical. Many centers are thus starting to explore the use ofOperational Data Analytics (ODA) techniques, which extract knowledge frommassive amounts of monitoring data and use it for control and visualizationpurposes. As ODA is a multi-faceted problem, much effort has gone intoresearching its separate aspects: however, accounts of production ODAexperiences are still hard to come across.  In this work we aim to bridge the gap between ODA research and production useby presenting our experiences with ODA in production, involving in particularthe control of cooling infrastructures and visualization of job data on two HPCsystems. We cover the entire development process, from design to deployment,highlighting our insights in an effort to drive the community forward. We relyon open-source tools, which make for a generic ODA framework suitable for mostscenarios.

Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments