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The distributed Grid infrastructure for High Energy Physics experiments atthe Large Hadron Collider (LHC) in Geneva comprises a set of computing centres,spread all over the world, as part of the Worldwide LHC Computing Grid (WLCG).In Italy, the Tier-1 functionalities are served by the INFN-CNAF data center,which provides also computing and storage resources to more than twenty non-LHCexperiments. For this reason, a high amount of logs are collected each day fromvarious sources, which are highly heterogeneous and difficult to harmonize. Inthis contribution, a working implementation of a system that collects, parsesand displays the log information from CNAF data sources and the investigationof a Machine Learning based predictive maintenance system, is presented.

Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre