Application-level optimization in the cloud requires AI-powered, full-stack optimization, not just infrastructure-level predictions.

Companies are embracing the cloud looking for cost savings, faster time to market, and innovation. Leading vendors like AWS, Microsoft Azure, or Google Cloud are offering compelling pay-as-you-go services, with unlimited scale, relieving cloud adopters from the burden of infrastructure management.

The value proposition is obvious but: many organizations pay for the cloud higher monthly bills than they expected, moving applications to the cloud turns their performance behavior into a black box with zero visibility and the true cloud optimization is overwhelmingly complex. Cloud and third-party vendors offer tools that purportedly help customers right-size their cloud infrastructure, but can’t fully optimize the applications that run on that infrastructure.

Discover how our AI-driven performance approach optimizes cloud configurations considering the real impact they have on application performance.

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