Optimizing a FinOps Framework

March 3, 2020

Companies spend millions of dollars on their Cloud performance. Much of this is overspend, but large enterprises cannot risk downtime, and so they hugely over-provision in order to buy peace of mind. In this article, we’ll reveal how AI-based Continuous Optimization can put a stop to this wastage, and employ automated Machine Learning to help companies save up to 70% on their spend. One of FinOps’ objectives has always been to enable shifts in companies and organizations – shifts that empower teams to participate in the process of increasing efficiency, optimizing utilization and reducing spend – through a combination of systems, best practices, and culture.

Read more: Why AI is Both a Risk and a Way to Manage Risk\

An effective FinOps stance cannot be adopted if a company’s applications are habitually running hot because, in such a scenario, a company is not managing its Cloud finances well.

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