Optimizing JMeter on Performance Testing Using the Bulk Data Method

Company X is one of the companies engaged in the telecommunications business.  To improve customer service, the company developed an Application Programming Interface).  The developed API is used to promote product packages to customers.  Sending data via API to millions of customers at the same tim...

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Veröffentlicht in:Journal of information systems and informatics (Palembang.Online) Jg. 4; H. 2; S. 205 - 215
Hauptverfasser: Husufa, Nurullah, Prihandi, Ifan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Informatics Department, Faculty of Computer Science Bina Darma University 02.06.2022
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ISSN:2656-5935, 2656-4882
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Zusammenfassung:Company X is one of the companies engaged in the telecommunications business.  To improve customer service, the company developed an Application Programming Interface).  The developed API is used to promote product packages to customers.  Sending data via API to millions of customers at the same time, can lead to failures due to the inability of the server to process that data.  JMeter is one of the tools that can be used to perform performance testing of an API by providing TPS calculation output. Bulk data files are used as input to process large amounts of customer data on JMeter.  Proper thread properties  settings affect the TPS  value, and the study has managed to achieve  the TPS  value to be achieved with error rate = 0, which means success.
ISSN:2656-5935
2656-4882
DOI:10.51519/journalisi.v4i2.244