Looking for advice and guidance about private cloud computing? Visit the Private Cloud Project Center for case studies, a product comparison matrix, an RFP template and more.
Clearly, the number of private cloud computing deployments is growing by leaps and bounds. Recent QuinStreet Enterprise Research indicates that private cloud is the most popular type of cloud deployment, and will likely far outpace the public cloud over the next year. The survey shows that 36 percent of respondents currently have a private cloud and an additional 29 percent expect to deploy a private cloud.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
The popularity of this emerging technology is no surprise. A private cloud enables enterprises to use software to pool resources into a unified virtualized computing environment. This software defined computing resource – whether large or small – is far more dynamic and scalable than a traditional hardware-centric data center. In some cases it offers greater ability to leverage third party resources on an on-demand basis. While many enterprises host a private cloud in-house, some firms hire an external provider to host their private deployment. This allows them to add computing power based on monthly or seasonal needs, and then pare back computing capability if less is needed.
Private cloud’s advocates claim it offers many of the advantages of the public cloud, yet with far superior security and privacy. But while a private cloud offer many benefits, setting up and managing this type of deployment offers plenty of challenges.
First, no small amount of confusion exists over what exactly constitutes a private cloud – which often translates into several management debates as companies set up their own private clouds. Which form of the deployment should we use, and why? For some firms, merely virtualizing a portion of their datacenter constitutes a private cloud, and certainly this alone offers advantages. On the other end of the spectrum, some companies opt for a robust, full-featured infrastructure-as-a-service deployment. Whatever the case, vexing questions keep cropping up: application management in this new environment, tiered staff access, issues around scheduled provisioning, database issues – the greater flexibility of private cloud also offers far more choices than before.
Consequently, making the most of this type of deployment requires a full-fledged, carefully considered private cloud plan. When writing this plan, businesses must be aware that they will shoulder considerable cost in building a private cloud – just as they would with a traditional hardware-based datacenter. Indeed, critics of the private cloud claim that it offers no savings over a traditional datacenter build-out; the only way to save money with the cloud is by offloading datacenter build-out costs onto a public cloud platform, they say. Private cloud advocates counter that, while the private cloud may not be a money saver, per se, it offers major longterm advantages over the rapidly aging hardware-only datacenter. These advocates also note that some of this build-out cost can be lowered by using a third party provider for a private cloud.
Whatever your opinion on this debate, the fact that enterprises must invest significantly to conceive of, architect, build and monitor their private cloud means this undertaking represents considerable financial risk.
Given the costs, it’s essential to make a series of key decisions that all private cloud deployments call for – before the first step is taken.
The first decision an enterprise must make is whether to build their private cloud in their own data center, or host it with a third party provider. (An externally hosted private cloud is often referred to as a “managed private cloud.”)
Building a private cloud in-house is the higher end option, yet typically makes sense for only larger businesses. To be worth the cost, an enterprise must have a large array of servers to virtualize (perhaps a thousand or more). However, opinions vary on this, with some vendors claiming far fewer servers are needed to justify an in-house private cloud. At any rate, since many firms fall far short of the larger server number, the externally hosted private cloud is a logical choice. In this scenario, a business in effect extends a security perimeter around this remote deployment.
To be sure, a remote deployment raises security concerns. Critics says it’s no safer than a public cloud; advocates say that a well managed third party provider can offer a level of privacy and security that’s similar to that of an in-house deployment.
The other key decision when first deploying a private cloud – closely related to the first decision – is whether to deploy your cloud with a vendor pre-built solution (sometimes called “cloud in a box”) or opt for a commodity build. Many companies are drawn to the vendor pre-builds because they take some of the risk and headache out of launching something as cutting edge as a software-defined datacenter. Other companies opt for the commodity option, knowing they may encounter more snafus, but wanting to keep costs low and avoid vendor lock-in.
Source: Choosing a Private Cloud Solution
See All Videos: Datamation’s Tech Videos
One of the most obvious points to consider is staff. Building and monitoring a private cloud will require considerable skills and personnel hours. (Again, it’s lack of staff that pushes many firms to the externally hosted managed cloud.) Another key issue to weigh is network and application compatibility. In particular, those unsung legacy applications that were coded by a long-gone development team might not make the migration to a private cloud.
Also of vital importance: enterprises must decide what total workload – what array of tasks – their private cloud will be required to handle, and consequently, what level of technical capacity this deployment must entail. And this of course has to be envisioned not just for this year, but for several (or more) years to come.
And perhaps most important, a true bottom line consideration: how will you measure the success (or lack thereof) of your private cloud deployment? This core consideration will likely play a critical role in determining budget for the proposed deployment as management weighs the plan. What is the expected return on investment, and how exactly will this be monitored and tracked over time?
Without carefully considering all the above questions, an enterprise’s private cloud is unlikely to reach its full potential. The private cloud offers numerous operational and competitive advantages but, as many companies have learned, it’s a not a simple platform to deploy.
To learn how businesses are deploying private clouds – and to explore a broad range of cloud vendors – visit the Private Cloud Project Center.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.