Bringing predictability to the data protection process is not a lost cause. The problem is that IT lacks a purchasing model to make data protection predictable and a software/hardware stack that works well with that model. As discussed in the…
Bringing predictability to the data protection process is not a lost cause. The problem is that IT lacks a purchasing model to make data protection predictable and a software/hardware stack that works well with that model. As discussed in the…
IT Services Agent or Provider Managed Service Providers (MSP) often become MSPs by evolving from a traditional IT reseller to the more services oriented approach. Other organizations specifically choose to start as MSPs after watching the challenges that traditional IT…
Enterprises will continue to shift away from centralized data centers, in lieu of smaller edge locations that provide the latency, bandwidth, autonomy and privacy required by future forward workloads such as virtual reality (VR) and Internet of Things (IoT) driven…
Modern workloads such as analytics of data generated at the edge require vast amounts of data to be processed in parallel. As discussed in our previous blog, the advent of solid-state drive (SSD) storage media has caused the interface between…
For decades, data centers have tried to use the data protection process to not only provide the organization with rapid recovery capabilities but also long-term data retention. Many organizations go so far as to use the backup process as an…
Copy Data is secondary copies of data that already exists on primary storage. These copies are used for recovery, reporting, analytics and testing. Most copy data management solutions are really just advanced snapshot management tools. They don’t provide a robust…
Many organizations are considering switching to a cloud backup solution to meet their data protection needs. Cloud backup promises to reduce the data protection headache by reducing the investment in on-premises infrastructure. And while cloud backup does provide almost automatic…
Enterprises are relying on a growing number of applications to run their business. At the same time, these applications carry requirements including performance levels that are simultaneously more divergent and dynamic than ever before. New applications are being spun up…
Workload modeling is the process of capturing the IO patterns of a workload so that it can be played back later in a different environment. The goal is to provide a very close simulation of how that workload will respond…