ABSTRACT
Since log file monitoring is indispensable in the development
and repair of an application, it is also of paramount importance
to obtain a clear and direct interpretation when analyzing the
files. Often due to the increase in data generated per second in
current systems and the dispersion that cloud computing can
cause in these files, this action can become quite complicated,
having to analyze the file several times until the reported error is
found. This task can take a long time, depending on the number
of files, data, and components available on the system. In this
study, the Elastic Stack log management tools were used:
Elasticsearch, Filebeat, and Kibana for filtering, managing,
centralizing, and viewing the logs. The tests were performed on
LexisNexis' Big Data HPCC Systems platform. With the creation
of interactive dashboards, the log visualizations and the search
for errors were facilitated, which can help find solutions for
reported errors.