Performance analysis Of Kubernetes Rolling Updates under stress environments

Authors

DOI:

https://doi.org/10.5335/rbca.v12i3.10993

Keywords:

Kubernetes, Rolling Updates, Performance Analysis, System Overload

Abstract

This work presents, via a case study, a performance analysis of Kubernetes’ Rolling Updates features with cluster machines under different types of stress. Test environments, possible scenarios, and proper parameters’ settings were proposed for data collection. After the presentation of the collected data, it is shown an analysis of the results and a discussion on the impact that the types of stress can have on the user experience at the time of an update. The results show that the update mechanism in production systems is feasible and configurable to minimize side effects on the system’s performance.

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Published

2020-08-08

Issue

Section

Original Paper

How to Cite

[1]
2020. Performance analysis Of Kubernetes Rolling Updates under stress environments. Brazilian Journal of Applied Computing. 12, 3 (Aug. 2020), 70–84. DOI:https://doi.org/10.5335/rbca.v12i3.10993.