Blog Archives

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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Kaminario Drives Composable Storage 2.0

Accelerated performance and usage-based storage for business critical applications A new generation of composable infrastructure that is truly software-only is required to deliver the levels of multi-cloud data mobility, automation, efficiency and flexibility, which are required by modern workloads. These

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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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Multi-Cloud Needs Composable Infrastructure

Most organizations now live in a multi-cloud world. Workloads can run on-premises one day and then in the cloud the next, only to return back to on-premises soon after. A challenge for organizations looking for this type of workload mobility

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The Problems that Scale-Out Architectures Create

Data intensive workloads like Elastic, Hadoop, Kafka and Splunk, are unpredictable, making it very difficult to design flexible storage architectures to support them. In most cases, scale-out architectures utilize direct attached storage (DAS). While DAS delivers excellent performance to the

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15 Minute Webinar: Composing Infrastructure for Elastic, Hadoop, Kafka and Cassandra to Drive Down Cloud Data Center Costs

Hyperscale applications like Elastic, Hadoop, Kafka and Cassandra typically use a shared nothing design where each node in the compute cluster operates on its data. Hyperscale architectures, to maximize storage IO performance, keep data local to the compute node processing

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Alternatives to the Public Cloud

As discussed in our previous blog, cloud computing is commonly heralded as the future, in large part due to the ability to procure and to pay for IT infrastructure resources on demand. The problem is that the cloud does not

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15 Minute Webinar: What Are Composable Infrastructures?

IT professionals are hearing a lot about composable infrastructures and many vendors are claiming to offer a solution, but only a few have truly composable solutions ready for deployment today. The goal of composability is to bring the cloud like

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The Requirements of a Cloud-Like Experience for On-Premises Mission Critical Workloads

The cloud provides computing, networking and storage resources on a pay-as-you-go basis. IT resources become an operational expense. Most on-premises data center resources need to be purchased up front. IT resources are a capital expense. The challenge with purchasing hardware

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Making the Composable Data Center a Reality – Liqid Briefing Note

For the Software Defined Data Center (SDDC) to deliver its full potential it is necessary to bring together resources like CPUs, GPUs, storage and network into a dynamic pool from which applications or services pull those resources as needed. Then

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