SRE-Driven Cost Optimization in Kubernetes Using Resource Profiling
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Information Technology | United States of America | Volume 14 Issue 5, May 2025 | Popularity: 5.1 / 10


     

SRE-Driven Cost Optimization in Kubernetes Using Resource Profiling

Kiran Thankaraj


Abstract: In today's cloud-native era, managing the cost of Kubernetes is more business requirement than a tech issue. In this journal, we look at how Site Reliability Engineers (SREs) can face cost inefficiency head-on through resource profiling. Through the use of hands-on tools and production-grade workflows, SREs can identify what is over-provisioned, under-used, or mis-configured. We guide you through a hands-on, step-by-step method to optimizing Kubernetes workloads without compromising reliability. Along the way, we?ll highlight key lessons, real challenges, and proven practices that empower SRE teams to make smarter, cost-conscious decisions.


Keywords: Kubernetes, Site Reliability Engineering, Cost Optimization, Resource Profiling, Observability, Cloud-Native, Performance Tuning


Edition: Volume 14 Issue 5, May 2025


Pages: 354 - 357


DOI: https://www.doi.org/10.21275/SR25504223646


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Kiran Thankaraj, "SRE-Driven Cost Optimization in Kubernetes Using Resource Profiling", International Journal of Science and Research (IJSR), Volume 14 Issue 5, May 2025, pp. 354-357, https://www.ijsr.net/getabstract.php?paperid=SR25504223646, DOI: https://www.doi.org/10.21275/SR25504223646

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