Blog Archives

Hitachi Vantara Updates its Content Platform

Going Beyond Archive with Denser, More Intelligent Object Storage Object storage has long been viewed as an archive and long-term retention platform. But in the age of data-driven business intelligence, more frequent and more sophisticated cyberattacks, and data privacy regulations,

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Posted in Briefing Note

DriveScale Composable Infrastructure: Elastic and Efficient Resources for Modern Workloads

Modern workloads such as Hadoop, Kafka and machine learning are demanding in terms of the volume of data that must be processed, the speed at which that data much be processed, and the fact that their capacity and performance requirements

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Posted in Blog

Is NVMe Enough for Efficient Hyperscale Data Centers?

Hyperscale architectures typically sacrifice resource efficiency for performance by using direct attached storage instead of a shared storage solution. That lost efficiency though, means the organization is spending money on excess compute, graphics processing units (GPUs) and storage capacity that

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Posted in Blog

What is High versus Extreme Performance?

While some applications in the data center require extreme performance, high performance is now a default requirement for all production applications. How performance is measured varies by application (for example, one application might require very high throughput while others might

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Posted in Blog

The Problems with Hyperscale Storage

Direct attached storage (DAS) is the default storage “infrastructure” for data intensive workloads like Elastic, Hadoop, Kafka and Splunk. The problem, as we detailed in the last blog, is using DAS creates a brittle, siloed environment. Compute nodes can’t be

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Posted in Blog

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