Analizator dnevničkih zapisa u skoro realnom vremenu

master's thesis

• Title (english): Near Real Time Log Data Analyser
• Author: Tomislav Barišić
• Mentor: Igor Mekterović (mentor)
• Committee member: Igor Mekterović (predsjednik povjerenstva)
• Committee member: Damir Kalpić (član povjerenstva)
• Committee member: Ivica Botički (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U radu su definirani ključni pojmovi vezani za dnevničke zapise. Opisani su problemi koji nastaju tijekom analize velikog broja dnevničkih zapisa u realnom vremenu. Provedena je implementacija jednog analizatora dnevničkih zapisa koji nastaju na realnom sustavu. Analizirani su zahtjevi koje takav sustav mora zadovoljavati. Obrađene su ključne tehnologije koje su bile korištene tijekom razvijanja sustava i pokazana je njihova integracija u razvijeni sustav. Analizirane su komponente razvijenog sustava i njihovo korištenje. Uz rad je priložen razvijeni sustav i upute za njegovu instalaciju i pokretanje

Abstract (english)

This document defines basic theory about log data. Problems that come up during analysis of large amount of log files in real time are defined. During work on this document a system for analysis of log files generated on real system was developed. In document are described what requirements such system must fulfill. Key technologies used during development of this system are described and shown how to integrate with developed system. All parts of the system are analyzed and shown how to use. Alongside this work are given instructions for installation and use of developed system.

• Keywords: dnevnički zapis; analiza teksta; analiza teksta u skoro realnom vremenu; elasticsearch; logstash; kibana; velika količina podataka
• Keywords (english): log; log files; text analysis; real time log analysis; elasticsearch; kibana; logstash; bigdata
• Language: croatian
• URN:NBN: urn:nbn:hr:168:324445
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 07:46:12