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Research Paper | Information Technology | India | Volume 9 Issue 1, January 2020 | Rating: 4.9 / 10
Cloud Cost Monitoring Strategies for Large-Scale Amazon EKS Clusters
Babulal Shaik
Abstract: Managing costs in cloud environments has become increasingly important as organizations scale their infrastructure. Keeping track of cloud spending can be a significant challenge for Kubernetes-based systems like Amazon EKS, where multiple services and workloads run across dynamic and complex clusters. This article proposes a robust cost-monitoring approach for large-scale EKS clusters, helping organizations optimize their cloud expenditure while maintaining efficient performance. The focus is leveraging key strategies, tools, and methodologies that enable real-time cost visibility and accountability across multiple tenants and workloads. It highlights the importance of integrating cost-tracking solutions with Kubernetes-native monitoring tools and practices, such as Prometheus and AWS Cost Explorer, to gather detailed insights into resource utilization and cost distribution. By adopting these strategies, enterprises can identify inefficiencies, reduce wastage, and better understand their cloud spending patterns. Ultimately, this article guides organizations seeking to implement a practical cost-monitoring framework, providing a clear, actionable solution for managing and optimizing cloud expenses in large, multi-tenant EKS environments.
Keywords: Amazon EKS, Cloud Cost Monitoring, Cost Allocation, Multi-Tenant Clusters, Kubernetes, Real-Time Monitoring
Edition: Volume 9 Issue 1, January 2020,
Pages: 1983 - 1991