Blog Archives

What is a End-User Data Management Strategy?

Users are more mobile than ever and while devices like tablets and smartphones are commonplace, most road warriors get most of their work done on laptops. A lot of the data on these laptops is unique and is never stored

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Software Defined Storage vs. Hyperconvergence

Hyperconvergence makes a lot of sense for many organizations. Hyperconvergence lets data centers leverage the excess compute in their virtual infrastructure to run the hyperconverged solution. The goal is to create a simpler architecture that converges compute, storage and networking.

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Scaling Unstructured Data in the Cloud Era

Unstructured data presents two scaling challenges to the data center. The first is capacity. It comes as no surprise to any IT professional that unstructured data is growing at an alarming rate. The second is performance, which may take some

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Preparing for Recovery

Most of the time IT spends focusing on disaster recovery planning is actually spent on protection, making sure data is being copied to a secondary storage system and a secondary site either by backup or replication. Some advanced recovery planners

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NAS 2.0 Must Preserve Data

About 85% of the data most organizations store has not been accessed in 90 days and most of it hasn’t been accessed in years. The reality is data managers really don’t know what’s in that data or if it is

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Leveraging the Cloud For Data Distribution

For organizations with multiple offices where employees need access to the same data at the same time, leveraging the cloud for unstructured data storage make sense. Not only does it help with data distribution, it also helps ease data management

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Real-time Storage Requires Real-time Analysis

All-Flash arrays enable applications to deliver real-time, instantaneous results to the applications using them. But to make sure those applications are getting the full benefit of the all-flash array requires an infrastructure that is also performing optimally. Real-time analysis is

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Unified Storage 2.0

There are so many ways that organizations use data and for the most part each use case needs a different storage system. The problem is a “storage system for every use case” strategy is expensive, complex to manage and very

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Storage Architecture 3 – Composable Storage

The data center needs a new storage architecture. The first architecture, dedicated scale-up storage, provides high performance and efficiency but is operationally complex at scale. The second architecture, scale-out shared everything architectures provides operational simplicity at scale but is less

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Will NVMe Over Fabrics Kill DAS?

Many advanced application architectures use Direct Attached Storage (DAS) instead of centralized shared storage for two reasons. First, in most cases sever drives are less expensive than drives found in shared storage systems. Second, storage that is internally accessed has

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