Blog Archives

What the Enterprise Needs to Learn from HPC Environments – DDN Briefing Note

HPC data centers are the harbinger of what the enterprise will look like in the coming years. As such enterprise data centers should pay close attention to a recent survey of HPC data centers, which was sponsored by DataDirect Networks.

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A 3 Step Cloud Storage Strategy

The desired final step of a cloud strategy is to use the services available in the cloud to the fullest extent possible. The problem is for most organizations the first step, leveraging the cloud for backup or archive, which typically

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Do You Still Need a Dedicated Backup Server?

For over a decade the classic data protection architecture included a server whose sole purpose was to receive data from endpoints. This server was responsible for pulling data from the endpoints or receiving data from the endpoints. It might also

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Using DRaaS For Test-Dev

Almost every data center needs to test operating system updates and new code releases. A DRaaS solution can meet the need. The problem is these testing needs require a copy of the server being tested with a most recent copy

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How to Find Good Backup Software Support

A vendor’s support of their backup application is an important priority for IT to understand as it looks for potential new backup solutions. Enterprise backup is unlike any other application in the data center. At some point in the backup

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Preventing S3 Data Leaks With a NAS

It seems like every week there is news of another Amazon S3 Bucket being left wide open and its data exposed to anyone that figures out the bucket’s URL. Companies experiencing these data leaks include large Fortune 500 organizations and

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Can an All-Flash Array Drive Down Costs?

When an organization implements an all-flash array, its objective is to meet user demand for improved application responsiveness. But the organization should also expect the flash array to drive down the cost of delivering that level of performance. The problem

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Storage for Deep Learning

Deep Learning is a machine learning method that uses algorithms to determine a predictable behavior by analyzing seemingly disparate types of data. Use cases include fraud prevention, image classification, speech recognition, and countless others. To deliver a frictionless interaction with

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Why Do Primary Storage Providers Resist the Public Cloud?

Public cloud storage is highly scalable and very cost effective. It also happens to be located next to an almost infinite supply of compute. Why then do most primary storage vendors pretend the resource doesn’t exist? The answer is quite

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What’s The Best Way To Rapidly Recover Data?

There are more methods to recover data than ever. It used to be that recovery meant loading a tape drive, scanning the whole tape to find the job that had the needed data, extracting that data from the job and

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