Thesis Details

Sběr výkonnostních parametrů systému MES PHARIS

Master's Thesis Student: Oháňka Martin Academic Year: 2021/2022 Supervisor: Smrčka Aleš, Ing., Ph.D.
English title
Performance Data Collection of MES PHARIS
Language
Czech
Abstract

This master's thesis deals with monitoring of automated tasks on integration servers and obtaining data from these tasks. Another area of this work is performance testing and to obtain information about hardware utilization from it. Thanks to this, it is possible to perform performance analysis of the implemented solution from different performance perspectives. The result of this master's thesis is a software solution that can obtain data about tasks from DevOps and Jenkins integration servers. In the area of performance testing, there is created a solution for parallel execution of tasks. The output of this work an output passed in JSON format. The data is then transferred to the Elastic platform, specifically Logstash, where it is subsequently visualized using Kibana. The Beat platform is used to collect data from performance testing. The solution was applied to the production information system MES PHARIS of the UNIS company.

Keywords

monitorig, automated processes, continuous integration, performance testing, DevOps, Jenkins, Elasticsearch, Logstash, .NET, C#, manufacturing execution systems, MES PHARIS

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology and Artificial Intelligence, Specialization Software Engineering
Files
Status
defended, grade B
Date
22 June 2022
Reviewer
Hruška Martin, Ing.
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
OHÁŇKA, Martin. Sběr výkonnostních parametrů systému MES PHARIS. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-22. Supervised by Smrčka Aleš. Available from: https://www.fit.vut.cz/study/thesis/25213/
BibTeX 
@mastersthesis{FITMT25213,
    author = "Martin Oh\'{a}\v{n}ka",
    type = "Master's thesis",
    title = "Sb\v{e}r v\'{y}konnostn\'{i}ch parametr\r{u} syst\'{e}mu MES PHARIS",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25213/"
}

Theses

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