An Intellyx Brain Candy Brief
Cloud cost optimization traditionally focuses on selecting the optimal cloud instance types to minimize public cloud costs over time.
CAST.AI goes well beyond this traditional approach by optimizing cloud costs for Kubernetes deployments in one or more public clouds – both Kubernetes-as-a-Service as well as Kubernetes installed on IaaS.
The company can even optimize cloud costs for multicloud Kubernetes deployments that deploy Kubernetes clusters across public clouds.
Customers install CAST’s AI engine in their Kubernetes-based applications. From there it automatically optimizes both choice of instance type (within and across public clouds) as well as the choice of spot over reserved instances for the best possible cloud cost over time.
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