Big Data. Big Decisions
InformationWeek
Special Coverage Series


A Shaky Virtual Stack

Our InformationWeek 2013 Virtualization Management Survey shows automated service delivery is the future -- unless you want to find yourself managing cloud providers.

As we enter 2013, the technology foundation of our businesses is changing dramatically as every layer of the network and service delivery stack can now be abstracted. The final holdout of genuinely "hard" hardware was the network, but even that's going virtual. When we asked about software-defined networks in the InformationWeek 2013 Virtualization Management Survey, we found more interest in SDNs than in our SDN-specific survey just a few months earlier.

Higher up the stack, 42% of the 320 business technology respondents to our virtualization survey say their companies use multiple hypervisors, up from 36% in August 2011, and 11 of the 13 hypervisors we asked about are in use by more than 10% of respondents, compared with eight hypervisors two years ago. In this year's InformationWeek Global CIO Survey, 92% of respondents say they plan to increase their use of server virtualization, even ahead of expanding business intelligence (85%) and improving information security (84%). In our InformationWeek 2012 IT Spending Priorities Survey, improving security, increasing server virtualization, and upgrading the network and storage infrastructures came in atop a list of 16 projects competing for budgets.

However, the end goal of all of this virtualization--flexible, service-oriented IT that can respond quickly to business needs--is still a precarious proposition because it requires extensive automation and orchestration. That's a big worry for IT teams faced with coaxing performance out of highly virtualized, highly fragmented stacks using management technologies inadequate to the task.

In fact, confidence in next-generation virtualization technologies is low among many IT professionals we work with, even as use rises. Why? For one thing, the hypervisor wars aren't over--they're escalating. While VMware remains king of the hill in terms of functionality and market share, Microsoft's Hyper-V continues to gain momentum, with nearly one-third of survey respondents citing some level of use. Improvements in Windows Server 2012 will keep that growth going. Citrix and Oracle are holding their own, and we're only talking server and desktop virtualization here. Never mind the number of hypervisors from vendors competing in virtualized storage, network, I/O, and applications.

Get the full report on our 2013 Virtualization Management Survey free with registration.

This report includes 34 pages of action-oriented analysis, packed with 28 charts. What you'll find:
  • Trended adoption levels for 13 hypervisors
  • Why virtualization must be core to compliance efforts
Get This And All Our Reports

This isn't all bad for IT. Competition has driven core virtualization technology costs down by about 75% since the debut of server virtualization in the early 2000s. Even storage and application virtualization have started shedding their price premiums. A proliferation of new products and vendors also fosters innovation.

But hypervisor fragmentation has a killer downside: a lack of standardization that makes integrating dissimilar silos--an absolute requirement if we want to get to automated service delivery--nearly impossible. A main goal of automation is self-service, empowering business users to provision the IT assets needed for a given project. That goes beyond just server cycles; if the whole stack isn't working in unison, you don't have efficient resource use, self-healing, improved application availability, better power management, preplanned responses to contingency scenarios--all the stuff that makes automation worth the cost and effort.

People Power

One often overlooked issue is that virtualization technology has changed so quickly that only the largest and most progressive companies have the skill sets to maintain it. Respondents to our survey cite a moderate to high degree of difficulty in training or sourcing the professionals necessary to solidify the stack. The traditional IT team structure is changing, too, as we deal with networks inside servers, applications rolled from virtualization management platforms, and server teams that provision their own storage.

chart: Virtual Vision

 1 | 234  | Next Page »


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.