The promise of cloud computing’s flexibility, scalability, and cost-efficiency is often undermined by the widespread issue of overprovisioning. A study by CAST AI highlights that a significant portion of provisioned resources in Kubernetes clusters remain unused, leading to substantial waste. My experience aligns with these findings, showing that poorly controlled cloud sprawl is a common problem. While CAST AI and other providers offer solutions for optimization, cloud providers themselves are beginning to offer similar tools, despite it being in their financial interest to encourage overprovisioning. Effective cloud resource management requires a shift from cautious overprovisioning to proactive optimization to truly realize the benefits of cloud computing.
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