Blog Archives

Your Path to Smarter Secondary Storage

The volume of data that must be backed up continues to increase, to meet compliance regulations and to serve secondary business purposes such as business analytics. At the same time, recovery requirements are becoming more demanding. In the event of

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Veeam and HPE Consumption-Based Data Management

Consumption-based IT enables the customer to obtain the pay-as-you-go cost effectiveness of cloud services while retaining an on-premises footprint. It also dramatically simplifies IT infrastructure management and planning. Data protection administrators in particular can benefit from this method of acquiring

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Consumption-Based Data Protection Brings Predictability

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

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How Can On-Premises Data Protection Make Business Sense?

Cloud-based data protection is appealing and many IT planners are considering it as an option. Can on-premises data protection infrastructures still compete? An on-premises infrastructure still has some technical competitive advantages and with consumption based IT the cloud business model

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Keep Your Disaster Recovery Budget in Check with Object Storage

Storage managers face the paradox of needing to store seemingly unlimited pools of data for business analytics and compliance, and at the same time enabling recovery of Tier One applications instantaneously and with zero data loss. Against this backdrop, a

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Object Storage: Two Critical Capabilities To Look For

Unstructured data continues to grow exponentially in volume, and it is playing a strategic role in fueling business intelligence and analytics. As discussed in a previous Storage Switzerland blog, object storage has emerged as a solution well able to address

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How is Consumption-based IT Different than Cloud Services and Leasing?

Modern businesses are storing a greater volume and variety of data, and they are looking to get more out of that data – accessing it more frequently and analyzing it in greater depth to facilitate better decision making. Against this

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Why Data Protection-as-a-Service is Unpredictable

Economic unpredictability is the most significant challenge associated with data protection. The pool of data that must be protected continues to grow exponentially, and meanwhile, recoveries must be nearly instantaneous. Our previous blog discussed the challenges inherent in meeting these

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Keeping Up With the Data Center, Modernizing Data Protection – Veeam 9.5 Update 4 Briefing Note

The data center continues to evolve, and data protection has to keep pace. Organizations want to intelligently leverage cloud resources to augment their on-premises data protection capabilities, and they need to respond to increased scrutiny of protected copies from regulations

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The Impact of Unpredictable Data Protection

Most production IT projects are planned months, if not years, in advance of deployment. However, advanced planning of infrastructure upgrades for the data protection architecture seldom occurs. The problem is that updates to the backup infrastructure can often be expensive

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