Almost every backup solution on the market today claims some form of cloud storage support. IT planners need to understand what type of cloud storage their backup solution provides and if the architecture of the solution can genuinely take advantage…
Consolidation of backup hardware and software is perpetually on the mind of IT professionals. At some point, a well-meaning IT Manager initiates a consolidation effort to try to simplify backup operations by consolidating backup hardware and software onto a single…
The promise of software-defined storage (SDS) aims to unify all of your organization’s storage assets through a single user interface. But that interface is supposed to do more than provide a single pane of glass for monitoring. It is also…
If disaster strikes, the purpose of a disaster recovery plan (DRP) is to guide the available IT personnel through the process of recovering the data center, either at an alternate site owned by the company or a facility owned by…
Artificial Intelligence (AI) and Machine Learning (ML) workloads are fundamentally different from any other workload. These workloads deal in data sets measured in dozens of petabytes of capacity, and large percentages of it can go from dormant to active at…
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
Most data protection solutions use the public cloud as a digital dumping ground to lower the cost of on-premises data protection infrastructure. To save costs, vendors often store the backup data set in a low-cost object store like Amazon’s Simple…
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…
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