Most of today’s modern storage systems have a scale-out design, meaning they can expand to meet almost all of the data center’s capacity requirements. Also, since an increasing number of these systems are all-flash, they can meet most data center’s…
There is a difference between availability and backup. Providing a workload with high availability means that if a component of the infrastructure fails, adequate measures are in place to ensure that the use of the workload continues with little or…
The modern data center is increasingly microservice or container-based. These workloads are dynamic and unpredictable. The datasets within these workloads range from thousands of large files to billions of small files. Artificial Intelligence (AI) and Machine Learning (ML) are being…
One part of File Virtualization is a global file system that abstracts the physical location of data from the logical directory structure. Even though data may move between physical file servers or network-attached storage (NAS) systems, users continue to access…
The public cloud is typically looked on as the great consolidator. Organizations, small and large, use the cloud as a hub for data storage and distribution. Recently, however, there has been a proliferation of edge use cases, and the major…
When organizations try to establish a cloud strategy, one of the challenges they face is where to begin. The problem is the cloud can do so much, like run applications, and provide advanced services and store data, to name just…
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) projects can all have varying types of data associated with them. Some projects consist of a relatively small number of huge files, and others have an incredibly high number of…
Backup applications, generally speaking, store the data they protect for a given amount of time. Increasingly, the default setting for most organizations is forever. While we are not opposed to a forever retention strategy, long term retention should not be…