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