Blog Archives

Is it Time for Application-Focused Storage?

Service level agreements (SLAs) for application availability for business continuity, and for performance, are more demanding than ever before. Each application often has specific SLA requirements, which results in multi-vendor, heterogeneous IT infrastructures that are challenging to manage. As a

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Top Four Data Analytics Challenges – Challenge 1: Business and IT Disconnect

Data analytics has become table stakes for competitive differentiation. As a result, businesses require their analytics-driven insights as quickly as possible. The reality is, however, that queries often take weeks or even months to complete. One of the key logjams

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How to Prepare for Site-Wide Disasters

It used to be that natural disasters, such as major hurricanes, were arguably the worst thing that could happen to the enterprise from an IT continuity perspective. Practically speaking, nothing else could really result in a site-wide data center failure.

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How to Avoid Cloud Pitfalls to Obtain an Infrastructure-Less Backup Strategy

Meeting requirements for infinite data retention and always-on business continuity is, practically speaking, not possible without using cloud resources in some way. On-premises backup and disaster recovery infrastructures are fraught with unpredictable costs and heavy operational overhead. At the same

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How to Facilitate Rapid Recovery

It’s no secret that rapid recovery is a non-negotiable business requirement today. Very few applications can stand even moments of downtime, never mind hours. However, getting there requires multiple steps that are not always immediately clear. The first step to

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Understanding the Azure Hybrid Cloud On-Ramp

Most organizations approach the cloud without a formal strategy. They pick a pain point, like backup and disaster recovery, as a starting point with the hope of adding more services as they become more cloud savvy. What often happens, however,

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Data Management vs Data Protection

Storing data comes with responsibilities, two of which are managing that data and protecting it. Many organizations however, focus most of their attention on protecting the data and almost no attention to managing it. However, focusing attention solely on data

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