Big Data. Big Decisions
InformationWeek
Special Coverage Series


Vblocks: Data Center Hope, Or Hype?

Cisco, EMC, and VMware have supplied a string of high-profile data centers with these special packages--rackmount servers packed with memory and optimized for virtualization, plus built-in storage and network switching.

When the New York Stock Exchange's built its Mahwah, N.J., data center last year, it used Vblocks as its core building element.

Likewise, SunGard supplied disaster recovery services in the cloud through a data center built last year from Vblocks.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Harris launched its Cyber Integration Center last June, a secure data center in northern Virginia for processing healthcare data for the government. "We're one of the largest Vblock installations built so far," boasted Rich Plane, Harris' director of cyber integration solutions development, in an interview last May. Few people had any idea what a Vblock was, so his bragging rights didn't extend very far.

[ Want to learn more about how Harris built an ultra-secure cloud service? See Harris Adds Security To Multi-Tenant Clouds. ]

Vblocks are one of the best kept secrets of the computer industry, but they keep popping up in high profile uses. They are sets of Cisco rackmount servers packed with memory and optimized for virtualization, with their storage and network switching built into the rack. They started out as a joint Cisco, EMC, and VMware project in late 2009.

A limited liability company came out of that project, Virtual Computing Environment (VCE), chartered a year ago, and Vblocks are attracting supporting products from BMC Software, CA Technologies, and other vendors who think they will become a building block in many enterprise data centers.

Vblocks only come in two packages, the Vblock 300 and Vblock 700, with the latter equipped with larger and more sophisticated storage. Now a 1,000-employee company, VCE is shipping Vblocks at a rate that indicates it will have $800 million a year in revenue 12 months from now.

"The way we manufacture and support Vblocks is quite unique," claimed Steve Steir, VCE's VP of platform engineering. VCE doesn't just assemble components that are highly optimized to each other's operation. It also puts a software management layer--"a single pane of glass"--over the components so they can be managed as unit through a variety of other sophisticated interfaces, including VMware's vCenter Operations and system management vendor BMC's Cloud Lifecycle Management product.

"They arrive as a single unit. They get plugged in, and in two or three days" are an addition to the data center, said VCE's Steir. The usual complex configuration issues that required the collaboration of network managers, system admins, and storage managers were resolved when the customer filled out a brief questionnaire when placing his order.

 1 | 2  | Next Page »


Related Reading




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.