Architectural strategies for robust EKS cluster management: A systematic approach

Kubernetes has become the dominant container orchestration platform across enterprise environments, with Amazon EKS gaining substantial adoption for managed deployments. This article presents a systematic framework for architectural decision-making in EKS environments, addressing challenges in infrastructure provisioning, network design, security posture, and operational efficiency. The framework delineates critical design considerations across foundational cluster architecture, resilience patterns, scaling strategies, and operational excellence. By examining multi-availability zone deployments, micro-segmentation approaches, fault isolation techniques, autoscaling implementations, and observability solutions, the article provides a structured approach to balancing operational simplicity with performance optimization. Targeted at cloud engineers and DevOps practitioners, the framework enables organizations to construct Kubernetes environments that meet immediate operational needs while supporting long-term scalability requirements through evidence-based architectural patterns and operational best practices.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17773960
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
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article

Architectural strategies for robust EKS cluster management: A systematic approach

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Architectural strategies for robust EKS cluster management: A systematic approach

article en

Abstract

Kubernetes has become the dominant container orchestration platform across enterprise environments, with Amazon EKS gaining substantial adoption for managed deployments. This article presents a systematic framework for architectural decision-making in EKS environments, addressing challenges in infrastructure provisioning, network design, security posture, and operational efficiency. The framework delineates critical design considerations across foundational cluster architecture, resilience patterns, scaling strategies, and operational excellence. By examining multi-availability zone deployments, micro-segmentation approaches, fault isolation techniques, autoscaling implementations, and observability solutions, the article provides a structured approach to balancing operational simplicity with performance optimization. Targeted at cloud engineers and DevOps practitioners, the framework enables organizations to construct Kubernetes environments that meet immediate operational needs while supporting long-term scalability requirements through evidence-based architectural patterns and operational best practices.

Zenodo (CERN European Organization for Nuclear Research)
Fair Isaac Corporation (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Software System Performance and Reliability
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