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Study on efficient analyzing method of operation manuals for runbook automation

Recently, server consolidation using virtualization is increasing and needs for IT system operation automation are increasing, as well. To shift to automated operation, it is necessary to analyze operation manuals and to standardize procedures by selecting suitable ones. In an environment of server consolidation using virtualization, operation manuals for different systems are gathered for analysis. However, analysis of operation manuals for automation requires high computational complexity. Therefore, analyzing them manually is almost impossible and it is one of the causes that prevent migration from manual to automated operation. In this paper, we propose efficient and comprehensive analysis focused on the characteristic wording of operation manuals and apply natural language processing and data processing algorithms. We apply this approach to a real case of automated operation migration and show that it can accurately and quickly process the entire operation manual.