Impact of the cloud application programming language on the performance of its implementation in selected serverless environments

Krzysztof Bezrąk

krzysztof.bezrak@pollub.edu.pl
Lublin University of Technology (Poland)

Sławomir Przyłucki


Lublin University of Technology (Poland)

Abstract

Recent years of cloud technology development have brought a sharp increase in interest in solutions known as serverless systems. Their performance, and thus usefulness in potential applications, strongly depends on the method of program implementation of specific tasks. The article analyzes the impact of selected, currently the most popular, programming languages on the performance of the serverless test infrastructure running in an environment managed by the Kubernetes system. The collected data were used to formulate conclusions regarding the suitability of individual languages in the conditions of varying serverless system loads.


Keywords:

Kubernetes; serverless; Kubeless

[1] Everything You Need to Know about Containers, Part III: Orchestration with Kubernetes, https://www.linuxjournal.com/content/everything-you-need-know-about-containers-part-iii-orchestration-kubernetes [14.10.2019]
[2] What Is Serverless Computing, https://www.cloudflare.com/learning/serverless/what-is-serverless/ [10.10.2019]
[3] Jarosław Krochmalski, Docker: projektowanie i wdrażanie aplikacji, Wydawnictwo Helion (2017), 16-18
[4] Łukasz Wróbel, Trzy powody, dla których warto przejść z architektury monolitycznej na mikroserwisową, PC World Komp-Wiadomości, 2018.
[5] Jonathan Baier, Getting Started with Kubernetes, Packt Publishing (2015), 6-7
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Published
2020-03-30

Cited by

Bezrąk, K., & Przyłucki, S. (2020). Impact of the cloud application programming language on the performance of its implementation in selected serverless environments. Journal of Computer Sciences Institute, 14, 31–36. https://doi.org/10.35784/jcsi.1572

Authors

Krzysztof Bezrąk 
krzysztof.bezrak@pollub.edu.pl
Lublin University of Technology Poland

Authors

Sławomir Przyłucki 

Lublin University of Technology Poland

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