Blog Archives

Developing an NVMe over Fibre Channel Strategy

Most All-Flash Arrays (AFA) are setup as block devices connected via a Fibre Channel (FC) Storage Area Network (SAN). The deterministic nature of FC and its inherent low latency are an ideal match for AFAs. As data centers begin to

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New eBook: Hyperscale Performance, Is NVMe Enough?

Hyperscale architectures that support Elastic, Hadoop, and Kafka, often vary wildly between organizations and even within each organization. Each workload often needs its own cluster and IT teams are constantly trying new technology within those clusters, trying to improve performance.

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Answering the “Where’s That File Question?”

One of the biggest challenges users face, and the cause for significant productivity losses, is finding those files later. Where did they store it? What was the file name? The problem is bad enough if they store all their data

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Posted in Briefing Note

StorCentric Acquires Retrospect – Comprehensive Primary through Secondary Storage Capabilities

The lines between primary and secondary storage infrastructures are blurring. Today’s typical backup and disaster recovery workloads require faster performance while production workloads demand growing amounts of capacity. IT requires as consolidated a storage infrastructure as possible for simplicity. At

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The ROI of Extreme Performance

In our recent webinar, “Flash Storage – Deciding Between High Performance and EXTREME Performance”, Storage Switzerland and Violin Systems discussed the use cases that demand extreme performance over high performance. Extreme performance is for applications that can benefit from consistent

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Does the Storage Media Matter Anymore?

It used to be that the storage media was the determining factor of an application’s performance. However, with non-volatile memory express (NVMe) solid-state drives (SSDs) now having reached price parity with Serial-Attached SCSI (SAS) SSDs, the potential to achieve hundreds

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The State of Server Virtualization: Summer 2019

The “software-defined data center” (SDDC) is hailed by many as the data center architecture of the future – promising to bring new levels of hardware utilization and a simplified, public cloud-like user experience on-premises. Previously, Storage Switzerland detailed the key

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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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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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The Problems with Hyperscale Storage

Direct attached storage (DAS) is the default storage “infrastructure” for data intensive workloads like Elastic, Hadoop, Kafka and TensorFlow. 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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