One of the greatest lessons of the cloud era is that the economic advantages of the cloud come to those who make them happen. The cloud on its own does not deliver improvements in application performance or financial payoffs — in fact, the opposite can be true if cloud managers are not diligent. Manual processes for managing cloud complexity are impossible to perform at scale.
Automation is required to effectively guide cloud optimization processes. In this paper, PeerSpot members who use Turbonomic weigh in on best practices for selecting an AI-driven cloud optimization solution. In their view, the right solution will be one that puts application performance first, leverages automation, supports Kubernetes, and increases IT productivity.
Read this PeerPaper based on real user reviews from PeerSpot.
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