Blog Archives

What is SRMaaS?

To keep up with the capacity and performance demands, IT is continually adding new storage systems to the data center. At Storage Switzerland, we find it is not uncommon for an organization to have seven or more different storage systems

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Posted in Blog

Webinar: Three Reasons SRM is Broken and How to Fix It

Storage Resource Management (SRM), given the growth in storage capacity, the increased emphasis on performance, and the number of storage systems IT is implementing, should be the most popular application category within the storage market. The reality is that SRM

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Posted in Webinar

Lightboard Video: What is SRM as a Service?

Storage Resource Management is too complicated, doesn’t provide a complete enough view of the storage infrastructure, and is incredibly expensive. As a result, most organizations count on vendor tools to capture storage data. Then they manually consolidate that data in

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Posted in Video

Lightboard Video: 5 Essential Storage Needs for Global 1000 Cloud Deployments

As the large enterprises look to the cloud to deliver agility and remove complexity and cost, data requirements and storage infrastructure often stands right in the way of achieving organizational goals. To get storage out of the way so IT

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Posted in Video

Lightboard Video: Maximizing AI Performance with Dedicated Infrastructure

High-Performance Computing (HPC) and scalable Artificial Intelligence (AI) workloads typically use parallel file systems to make sure that all the computing nodes in a cluster can directly access the data they need without being bottlenecked by control nodes. Organizations running

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Posted in Video

StorageSwiss Report 64 – A Decade’s Worth of Predictions

The StorageSwiss Report is a weekly discussion about hot trends and topics going on in the storage, cloud, and data protection markets. We don’t just cut & paste press releases. We provide insight as to why or why not the

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Posted in Blog

Can The Storage Infrastructure Keep Pace with Data Center Modernization?

The modern data center is increasingly microservice or container-based. These workloads are dynamic and unpredictable. The datasets within these workloads range from thousands of large files to billions of small files. Artificial Intelligence (AI) and Machine Learning (ML) are being

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Posted in Briefing Note

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