Log analysis using ELKSTACK

This bachelor thesis describes a solution that can be used to use ELKSTACK technology (Elasticsearch, Logstash, Kibana) to analyze existing text logs of the web application. First, the general meaning of text logs is theoretically described. The following is a description of the ELKSTACK technology and a description of the environment in which this technology was implemented. The production environment of the Datacruit ATS web application generates text logs that need to be analyzed. Because the application developed by Datacruit s.r.o. moves fast forward it is necessary to have an overview of the application. Because of overview make it easier to prioritize which fixes, modifications or new features in each module of application to focus on in terms of user satisfaction of the application. The application contains Nginx log, uWSGI log and application server log. These logs can be used to analyze access to individual modules or features. The main goal of this work is to create and configure tools for analysis of Nginx log, uWSGI log and application server log using ELKSTACK. The goal of the thesis was successfully done and in the practical part of this bachelor's thesis, which is divided into installation, configuration and demonstration of solution validation, I described the process of meeting the goal. After creating and configuring ELKSTACK, Datacruit s.r.o should be able to permanently analyze the use of individual modules or functions of the Datacruit ATS application.