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Kubernetes Deployment Options for On-Prem Clusters

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arxiv 2407.01620 v1 pith:UROTJ6TG submitted 2024-06-28 physics.comp-ph cs.DC

Lincoln Bryant , Robert W. Gardner , Fengping Hu , David Jordan , Ryan P. Taylor This is my paper · ORCID
classification physics.comp-phcs.DC
keywords kubernetesdeployingdeploymentmanyadministratorsalternativesapplicationarticle
verification ladder T0 review T1 audit T2 compute T3 formal
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Over the last decade, the Kubernetes container orchestration platform has become essential to many scientific workflows. Despite its popularity, deploying a production-ready Kubernetes cluster on-premises can be challenging for system administrators. Many of the proprietary integrations that application developers take for granted in commercial cloud environments must be replaced with alternatives when deployed locally. This article will compare three popular deployment strategies for sites deploying Kubernetes on-premise: Kubeadm with Kubespray, OpenShift / OKD and Rancher via K3S/RKE2.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Enabling Secure and Ephemeral AI Workloads in Data Mesh Environments

    cs.DC 2025-05 reject novelty 4.0 of 10

    A proposed tool, sskuba-ctl, claims to create ephemeral, self-service Kubernetes clusters in under ten minutes across clouds using an immutable OS and infrastructure-as-code.

  2. Distributedness based scheduling

    cs.DC 2025-06 reject novelty 3.0 of 10

    A variance-based Kubernetes scheduling heuristic that spreads similarly labeled pods across nodes is proposed, but with no experimental validation.

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