How Intelligent Storage Controllers Have Revolutionized the Industry

Logical storage segmentation/multi-tenancy. As organizations grow – many will develop regional departments or branch offices. In some cases, administrators would have to deploy a new storage controller to numerous locations; even if they needed just a bit of non-replicated storage. Now, modern controllers can be logically split to facilitate the delivery of “virtual storage” slices to various departments. Unlike simple storage provisioning – the branch administrator would receive a graphical user interface (GUI) and a “virtual controller.” To them, it looks like they have their own physical unit. In reality, there is a main storage cluster which has multi-tenancy enable. The primary admin can see all of these slices, but the branch administrators will only see the slice that they are provided. Those private instances can be controller, configured, and deployed all without impacting the main unit.

Storage thin provisioning. Storage utilization and provisioning has always been a challenge for organizations. With virtualization and many more workloads being placed onto a shared storage environment, organizations needed a way to better control data. With that came the technology around thin provisioning. Thin Provisioning utilizes the on-demand allocation of blocks of data versus the traditional method of allocating all the blocks at the very beginning. In using this type of storage-optimized solution administrators are able to eliminate almost all whitespace within the array. Not only does this help with avoiding the poor utilization rates, sometimes as low as 10 percent- 15 percent, thin provisioning can also optimize storage capacity utilization efficiency.  Effectively, organizations can acquire less storage capacity up front and then defer storage capacity upgrades in line with actual business usage. From an administrative perspective, this can reduce data center operating costs, like power usage and floor space, which is normally associated with keeping large amounts of unused disks spinning and operational.

Connecting to the cloud. No core data center function can escape the demands of the cloud. This includes storage technologies. With more systems connecting into the cloud, storage technologies have adapted around virtualization, cloud computing, and even big data. There really isn’t any one major, cloud-related, storage advancement. Rather, numerous new features and technologies have surfaced which directly optimize, secure and manage cloud-based workloads. For example, solid-state and flash storage arrays have been growing in number when it comes to high IOPS workloads. Technologies like VDI require additional resources to allow hundreds and even thousands of desktops to operate optimally. Another example is geo-fencing data and storage. In creating regulatory compliant storage environments, organizations can now fully control where their data goes and where the borders are required. Not only does this help with file sharing, it helps companies control how their data lives in a public or private cloud scenario.

Controlling big data. It really didn’t take too long for storage vendors to jump on the "big data" bandwagon. The big picture here is that data and the utilization of data will continue to grow. Storage vendors like EMC and NetApp took proactive approaches in partnering and deploying intelligent systems capable of supporting big data initiatives. For example, Open Solution from Netapp delivers a ready-to-deploy, enterprise-class infrastructure for Hadoop so businesses can control and gain insights from their data.  Furthermore, in partnering with server makers – storage vendors are now able to deploy validated reference architectures which provide reliable Hadoop clusters, seamless integration of Hadoop with existing infrastructure, and analysis on any kind of structured or unstructured data. From EMC’s perspective, their powerful Isilon scale-ready platform for Hadoop combines EMC’s Isilon scale-out network-attached storage (NAS) and EMC Greenplum HD. In working with these types of technologies, organizations are able to utilize a powerful data analytics engine on a flexible, efficient data storage platform.