Automating log analysis for industrial equipment maintenance using elastic stack

Contemporary technological equipment generates a substantial amount of data that can provide insights into system performance and help predict failures critical errors. However, manual analysis this is time-consuming, hence there need for automated tools to collect, process, store log files. In context, the study aims develop an information streamline file using ELK software solutions from IT industry. The article explores structure components develops solution's structural diagram architecture practical use. Based on conducted research, solution was implemented, provided by NASA Ames Research Center analyzed visualized through graphs histograms. study's novelty lies in stack equipment, which widely used proposed reduce time make informed decisions about maintenance.