Bare Metal Clouds and Dedicated Data Centers – When you don’t want to share space

Feb. 24, 2016
The data center is an ever-changing, but still very critical, part of the business. With so much evolution around cloud; when does it make sense to deploy bare metal clouds versus your own dedicated data center? Now, find out what to do when you don’t want to share space!

Your data center has become a critical component of your business. You’re delivering resources, pushing out applications, and supporting a very diverse user ecosystem. Through all of this technological evolution, IT managers have been tasked with creating even greater levels of multitenancy resource control. With that in mind – it’s important to take a step back and really understand what it means to deploy into a bare metal cloud, when to use a dedicated data center, and knowing when sharing space might actually be detrimental to the overall business.

Let’s start here – In the normal world of the cloud virtualization, multiple workloads may be virtualized on a shared physical server. Although this is an acceptable solution in many instances, when multiple applications are all in contention for the same processor and memory resources, the risk that these same resources might not be available when they are required by a latency sensitive application (the latest Call of Duty for example) can be intolerable. The performance issues within a shared cloud may also be exacerbated by the processing capacity consumed by the hypervisor layer that can consume as much as 10% of the available capacity of a server. In a sense, this sensitivity is analogous to the reasoning behind many organizations’ desire for a dedicated data center that they can locate as close to their user community as possible (edge facilities, for example) to eliminate the latency delays associated with using more centrally located shared mega facilities.

In this whitepaper from Compass Datacenters, we learn about the nature of the bare metal cloud and where dedicated data centers absolutely make sense. In working with this type of architecture, the paper outlines key points around:

  • When to use a shared ecosystem versus a dedicated data center.
  • Creating optimal end-user control strategies.
  • Creating “personalized” data center architectures which align with the business.
  • Controlling capacity and access based on context and geographic regions.

Remember, the changing nature of the types of data, including the billions of tiny packets associated with the IoT and large, rich packets that characterize applications like streaming video, has made the elimination of latency a prime motivator in the decision to shun shared alternatives.  It’s important to know when to use shared versus dedicated environments and understanding your specific use-cases.

Download this whitepaper today to learn about the critical decision factors and economics around dedicated versus shared data center environments. Most of all – you’ll see where virtualization, resource control, data center efficiency all play a factor in your business strategy.

About the Author

Bill Kleyman

Bill Kleyman is a veteran, enthusiastic technologist with experience in data center design, management and deployment. Bill is currently a freelance analyst, speaker, and author for some of our industry's leading publications.

Iron Mountain Data Centers

Navigating Industry Challenges and Opportunities in the Age of Generative AI

Mark Kidd, Executive Vice President & General Manager, Iron Mountain Data Centers & Asset Lifecycle Management, takes a look at how Generative AI is reshaping the data center ...

White Papers

Get the full report

Sustainability in Data Center Site Selection

Aug. 31, 2022
This special report, courtesy of Nautilus Data Technologies, explores the role that sustainability should play in the development of deployment of data centers.