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Informative Article | Science and Technology | India | Volume 9 Issue 7, July 2020
Optimizing Resource Utilization in Kubernetes: Definitive Best Practices for Efficient Cluster Management
Abstract: This article embarks on an extensive exploration of strategies aimed at optimizing resource utilization within Kubernetes clusters, pivotal for achieving cost-efficiency, enhanced application performance, and robust cluster stability in modern IT infrastructures. Grounded in a meticulous synthesis of current literature, best practices, and theoretical models, this study delves into advanced pod scheduling techniques, including affinity and anti-affinity rules, node selectors, and cluster-wide distribution strategies, illuminating their profound impact on resource allocation dynamics. Furthermore, it scrutinizes the nuanced orchestration of resource requests and limits, unraveling their crucial role in averting resource contention and fostering predictable, harmonious system behavior. The discourse extends to dissecting the intricate mechanisms of autoscaling, particularly Horizontal Pod Autoscaling (HPA), highlighting its instrumental role in facilitating adaptive, demand-responsive resource management. Although devoid of specific empirical case studies, this analysis provides a conceptual framework and a holistic understanding of resource optimization in Kubernetes environments, offering valuable insights and guiding principles that resonate across diverse deployment scenarios. By converging theoretical insights with practical guidelines, this study aspires to equip practitioners and scholars with the knowledge to navigate the complexities of resource management in Kubernetes, steering towards an era of enhanced efficiency and stability in container orchestration.
Keywords: Kubernetes, Pod Scheduling, Resource Utilization, Horizontal Pod Autoscaler
Edition: Volume 9 Issue 7, July 2020,
Pages: 1999 - 2003