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Automating Rightsizing Recommendations for Underutilized Kubernetes Cluster Nodes
Автор: SystemDR - Scalable System Design
Загружено: 2026-01-10
Просмотров: 71
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In this video, we explore automating rightsizing recommendations for underutilized cluster nodes to reduce cloud spend and improve Kubernetes cost efficiency. You’ll learn how to detect idle and overprovisioned nodes, analyze CPU and memory utilization, and generate automated rightsizing insights using real workload data. This session is ideal for DevOps engineers, SREs, and FinOps teams looking to optimize Kubernetes infrastructure costs.
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