The Best Options for Scaling Environments for High Performance Workloads

It has been estimated that the amount of data that has been created in the past two years is more than all previous years combined.

Regardless of whether that’s accurate, there’s no denying that the amount of data—especially unstructured data—now available is unprecedented.

This wealth of information comes with some very real costs for enterprises. Capturing, storing, making data accessible—each requires substantial investment and resources.

Download Now: A Guide to Managing and Scaling Your Unstructured Data in a Hybrid Cloud

Because of this, enterprises need a way to scale when high-value workloads arise. And they need to do it in a cost-effective way. Here are solutions we often recommend for both data platforms and the hybrid cloud.

Data platform solution

For enterprise storage assets, Dell EMC Isilon is tailor made for increasing capacity efficiently.

A scale out network-attached storage platform, Isilon is intended for high-volume storage, backup, and archiving of unstructured data.

This allows for true flexibility. Instead of overbuilding capacity in anticipation of high-value workloads, enterprises can instead make a small initial investment in Isilon units and then add more units—and capacity—as workloads demand it.

Isilon also provides options when it comes to different storage levels, from extremely fast all-flash systems all the way down to the very cheapest cloud storage for simple data compliance needs.

Hybrid cloud solutions

The cloud has made scaling relatively easy and cost-effective. But for high-value workloads that require on-premises data storage as well as the cloud, there are still tools available to make coordination of storage much easier.

Google Anthos, for example, not only plays very well with Isilon, it eases management of Kubernetes clusters across clouds.

You can learn more about Anthos’ capabilities at scale here.

Red Hat OpenShift provides enterprises with a robust suite of tools out of the box for development with Kubernetes at scale. This includes Prometheus for operational insights, CI/CD pipelines, and an embedded container registry.

Rounding out the solutions, there’s the venerable Rancher, which excels at helping enterprises achieve a well-architectured Kubernetes-as-a-Service (Kaas) platform that spans datacenters, the cloud, and the edge.

Learn more about developing hybrid cloud architecture at scale. Download our free guide, A Guide to Managing and Scaling Your Unstructured Data in a Hybrid Cloud.

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A Guide to Managing and Scaling Your Unstructured Data in a Hybrid Cloud