Bridging the Benchmarking Gap: Performance Evaluation of Popular Kubernates-Based Orchestration Frameworks

Kubernetes has emerged as the leading container orchestration platform for cloud-native application development. This study compares and contrasts the performance of some popular Kubernetes-based frameworks in terms of deployment efficiency, resource utilization, scalability, and fault tolerance, namely OpenShift, Rancher, GKE, AKS, and EKS. The performance was evaluated on real-world workloads across uniform environments with consistent configurations of applications. It uses the performance metrics from Prometheus, Grafana, and Apache JMeter, then makes quantitative analyses and statistical comparisons. The results clearly demonstrate the strengths and weaknesses of the frameworks, giving developers and enterprises actionable insights on optimizing their deployments in the cloud-native setup. This paper helps bridge gaps in previous studies regarding benchmarks through comprehensive reviews that are made toward a selection based on choosing the right framework that best fits to use with the solution for advanced acceptance and exploitation in modern ecosystems.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icctdc64446.2025.11159041
Citations
1
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
1.28
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article

Bridging the Benchmarking Gap: Performance Evaluation of Popular Kubernates-Based Orchestration Frameworks

P. K. Sathish, A. Bhat, Sashikanth Reddy Avula, B U Divashree
1 citations
Music Technology and Sound Studies
1.28
article

Bridging the Benchmarking Gap: Performance Evaluation of Popular Kubernates-Based Orchestration Frameworks

P. K. Sathish, A. Bhat, Sashikanth Reddy Avula, B U Divashree
article en
1 citations

Abstract

Kubernetes has emerged as the leading container orchestration platform for cloud-native application development. This study compares and contrasts the performance of some popular Kubernetes-based frameworks in terms of deployment efficiency, resource utilization, scalability, and fault tolerance, namely OpenShift, Rancher, GKE, AKS, and EKS. The performance was evaluated on real-world workloads across uniform environments with consistent configurations of applications. It uses the performance metrics from Prometheus, Grafana, and Apache JMeter, then makes quantitative analyses and statistical comparisons. The results clearly demonstrate the strengths and weaknesses of the frameworks, giving developers and enterprises actionable insights on optimizing their deployments in the cloud-native setup. This paper helps bridge gaps in previous studies regarding benchmarks through comprehensive reviews that are made toward a selection based on choosing the right framework that best fits to use with the solution for advanced acceptance and exploitation in modern ecosystems.

Meenakshi Academy of Higher Education and Research (IN)
Openalex Percentile: Top 16%
Music Technology and Sound Studies
1.28
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