Datacenter architectures must meet the changing needs of many applications, while also supporting demanding workloads today. Datera’s design focuses on data movement, to allow flexibility for growth as requirements change. It uses commodity hardware and machine learning to create an optimal and cost-effective storage platform for the modern datacenter.
When discussing modern applications, infrastructure is often not given much though except to say that it should be easy to provision according to the needs of the application itself. Those who provide the infrastructure to applications developers and end users know this is no trivial task. Ken Nalbone looks at how Datera’s software defined storage platform helps bridge the this gap.
The public cloud certainly has profoundly changed enterprise IT. It provides limitless scale, impressive utilization, and changed capital investments. However, it often fails to provide enterprise level performance on a consistent level, and can lack the fine tune controls organizations have come to expect. Datera is building a cloud data management foundation for on-site clouds. Their goal is to make this autonomous and transparent layer to the organization to offer the agility of the public cloud, but with enterprise class performance and control.