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Implementation av ELK Stack
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering.
2018 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Implementation of ELK Stack (English)
Abstract [sv]

ELK Stack är ett open source loggningssystem består av Elasticsearch, Logstash och Kibana. Elasticsearch är en noSQL sökdatabas som används för lagring av data. Pipeline Programmet Logstash tar emot data från inputs och skickar till outputs, filtrering av datan sker i Logstash mellan input och output. Kibana presenterar datan i en visuell miljö där diagram skapas för att enkelt få en överblick. Rapporten görs i samarbete med Högskolan Västs IT-avdelning som önskar ett nytt loggningssystem för att ersätta deras nuvarande lösning. Den nya lösningen ELK Stack bygger vidare på den befintliga där syslog används. ELK Stack installeras här i en testmiljö och testas enligt IT-avdelningens krav.

Abstract [en]

ELK Stack is an open source log system which consists of Elasticsearch, Logstash and Kibana. Elasticsearch is a noSQL search database that is used for data storage. The pipeline program Logstash receives data from inputs and sends it to outputs, filtering of the data occurs in Logstash between input and output. Kibana presents data in a graphical environment where diagram is created to provide a simple overview. This report is made as a collaboration with University Wests IT-department which is in need of a new loggingsystem, to replace their current solution. The new solution ELK Stack builds on the existing one where syslog is used. ELK Stack was installed in a test environment and tested according to the IT-departments demands.

Place, publisher, year, edition, pages
2018. , p. 19
Keywords [en]
ELK Stack, Logging, logs, Kibana, Elasticsearch, Logstash
Keywords [sv]
ELK Stack, loggning, loggar, Kibana, Elasticsearch, Logstash
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hv:diva-12810Local ID: EXM301, EXN300OAI: oai:DiVA.org:hv-12810DiVA, id: diva2:1237500
Subject / course
Computer science
Educational program
Nätverksteknik med IT-säkerhet
Supervisors
Examiners
Available from: 2018-08-20 Created: 2018-08-09 Last updated: 2018-08-20Bibliographically approved

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