Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures

Carlos Vega*, Paula Roquero, Rafael Leira, Ivan Gonzalez, Javier Aracil

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)


Nowadays, most systems and applications produce log records that are useful for security and monitoring purposes such as debugging programming errors, checking system status, and detecting configuration problems or even attacks. To this end, a log repository becomes necessary whereby logs can be accessed and visualized in a timely manner. This paper presents Loginson, a high-performance log centralization system for large-scale log collection and processing in large IT infrastructures. Besides log collection, Loginson provides high-level analytics through a visual interface for the purpose of troubleshooting critical incidents. We note that Loginson outperforms all of the other log centralization solutions by taking full advantage of the vertical scalability, and therefore decreasing Capital Expenditure (CAPEX) and Operating Expense (OPEX) costs for deployment scenarios with a huge volume of log data.

Original languageEnglish
Pages (from-to)3879-3900
Number of pages22
JournalJournal of Supercomputing
Issue number9
Publication statusPublished - 1 Sept 2017
Externally publishedYes


  • Data repositories for log collection
  • Large datacenters
  • Log analysis
  • Operational intelligence


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