Why you don’t have to wait for Gartner’s intelligent infrastructure vision to come true.
Fifteen years ago, InformationWeek published a prescient call to arms1 for building an intelligent IT infrastructure. “The mounting complexity of today’s IT infrastructure,” cautioned the author, is having a “draining effect…on IT resources.”
Today, we’re taking a fresh look at the need for intelligent infrastructure in a new paper featuring research from Gartner. The Next Wave: Implementing Intelligent Infrastructure with Software-Defined Servers [> Download your copy] explores how rigid IT infrastructures, designed to accommodate more predictable workloads of the past, are becoming increasingly overwhelmed by the realities of the present.
If IT complexities threatened to overwhelm inflexible data centers back in 2004, imagine the havoc they’re wreaking today—and the pressure they’ll put on IT tomorrow. Data growth is doubling every year and IoT data growth is outgrowing enterprise data by 50X.
The result is that today we see even the largest servers overwhelmed by big in-memory database workloads on SAP HANA or Oracle Database. Traditional scale-up or scale-out approaches are either costly or time-consuming or both—and as more infrastructures move to the public cloud, those approaches become even less workable.
Realizing this, IT platform vendors have spent years struggling to develop various strategies and architectures aimed at creating flexible, fluid, on-demand infrastructure. These solutions are known by various names: composable, converged, hyperconverged, etc.
But they’re also known as something else: Not there yet.
I feel for those vendors, believe me. It’s not easy to take inherently fixed and inflexible data center platforms and transform them into fluid pools of resources that can be provisioned on demand when and where they’re needed, and then be rapidly reprovisioned for the next workload. So their customers are waiting as these vendors’ grand visions are phased in, step by step, until that promised future someday comes true.
Meanwhile, IT executives and power users continue to struggle with memory limits, and SAP and Oracle admins struggle to craft an infrastructure strategy that will meet their needs even months from now, let alone years.
Gartner’s infrastructure vision: No waiting
The Gartner research featured in our new paper outlines a vision for an intelligent infrastructure that looks beyond tactical implementation to accommodate future disruption. Gartner sees an intelligent infrastructure consisting of two components. The first is the Data Plane, comprised of applications and workloads, and the provisioned infrastructure they run on. Above the Data Plane is the Intelligence Plane, which uses automation, analytics, machine learning and other advances to drive intelligence and control down to the Data Plane. It takes the Intelligence Plane to turn the Data Plane into an on-demand entity.
When they wrote their report, Gartner analysts viewed the Intelligence Plane as something that was necessary, yet hadn’t been fully realized. Elements are there, they concluded, but nothing yet had pulled those elements together into a cohesive solution that activates the Data Plane to create intelligent infrastructure.
But that was then.
Read this new paper to find out how the missing piece of Gartner’s vision really does exist—and how organizations can use the systems they already own, both on premise and in the cloud, to accommodate virtually any size Big Data workload today and in the future.
No proprietary platforms. No elaborate architectures. And no waiting.
The Road to Intelligent Infrastructure and Beyond, Phillip Dawson, Daniel Bowers, 3 October 2018. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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