Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Charles Babcock

Charles Babcock

Editor At Large, InformationWeek

5 Things VMware Should Do In 2013

Importance Of VMware's Nicira Acquisition

(Page 2 of 3)

2. Give The Software-Defined Data Center Software-Defined Networking

The software-defined data center is a magnificent concept. But any practical implementation would have to include software-defined networking as part of the new, programmable data center operations, and we're not there yet. For VMware to provide it, it will need real networking expertise, but until recently it's been fair to ask: what networking expertise?

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Most of the existing networking know-how originated down the road from VMware in San Jose, Calif., where Cisco Systems is located. Cisco provided the first hardware complement to ESX Server's virtual switch in its Unified Computing Architecture and Nexus 5000 switch. It also provided the first (and, for a time, the only) practical implementation of VMware's recommended approach to secure VLAN tunnels, with a VXLAN supporting switch. In this partnership, Cisco has been the senior partner, but both have benefited. Consider the example of Vblocks, the Cisco-VMware-EMC design collaborative that offers preconfigured and virtualized racks equipped with servers, storage and networking.

VMware leads in data center server virtualization and, with EMC as its parent company, it has storage virtualization well in hand. But, because it did not have the expertise to fulfill the networking needed for the software-defined data center, Cisco was able to assume the top position.

That's why VMware's acquisition of Nicira is so important. Nicira represents the next generation of virtualized networking based on the OpenFlow protocol. With Nicira, VMware can map out the network virtualization part and build it into its management console. Nicira's leadership in OpenStack's Quantum networking initiative also allows VMware to tap into the expertise contributed to the entire project. VMware needs this project to succeed to allow switching within the software-defined environment to connect to the rest of the world.

Even Nicira's ability to innovate may be too limited to fulfill all the demands of the flexible networks of the future. It certainly won't be able to fill all the gaps as VMware customers struggle to make the transition themselves. In fact, Cisco, Nicira and OpenFlow startups such as Big Switch have important roles to play, but it's questionable to me how long Cisco will wish to participate in propelling the software-defined data center forward. It's preferred baby steps in that direction, ones that don't threaten its switching hardware product lines.

Beyond that, there's the ongoing issue of virtualized resource management. A software-defined data center will have one management console, not a series of separate ones for the server admin, network manager and storage manager. Without commanding more networking expertise, VMware can't build out the software-defined data center's management console. It won't be enough to have adjustable dials for servers and storage, and oh, by the way, consult your nearest network manager if you don't like the network IT pre-assigned to you.

Changes in the virtual machine will require simultaneous changes in the network, just as it does in storage. When the virtual machine picks up and moves, storage has to move with it, perhaps to be reconfigured at the destination. Can networking do the same? Not today.

VMware must cultivate its own networking expertise and build out virtual network management capabilities in order to keep the concept of the software-defined data center alive. If we're talking about a splendid concept -- and only a concept -- five years from now, something will be deemed to have gone haywire.

3. Decide Whether To Concede The Market's Low End

At VMworld, the most persistent complaint I heard was how much of the IT budget VMware was beginning to command. Customers don't say they're dissatisfied with what they're getting. They say they feel a little bit like addicts, hooked on an expensive drug and wondering if they won't wake up one morning and decide they can't afford it anymore.

There has been tangible value in VMware software. But when it comes to a long-term strategy, I don't think VMware wants to give its customers a compelling reason to consider any of the three lower-priced spreads -- Microsoft, Citrix and Red Hat's KVM -- in the market. Many of VMware's customers already have a toe in the water with one or more of the alternatives. It's not uncommon to hear of VMware data centers with Citrix virtual desktop infrastructure. Or VMware data centers with departments basing local projects on Windows Server's Hyper-V and open source KVM.

VMware somewhat defensively says its total cost of ownership is less than Microsoft's. Last spring it produced a study to prove it. But I think the cost issue turns on what type of infrastructure you want. In some cases, Microsoft's approach will yield the lower cost; in others, VMware's. It seemed false to me to assume that everyone using Microsoft's System Center really wanted to use a VMware-style infrastructure.

That said, VMware conceives of the data center as 100% virtualized and managed from that standpoint. Hence, it comes up with an evolving line of products pushing data center operations in that direction. It wants the hardware to be invisible, or barely visible at the fringes. Microsoft, with its own large virtualization presence, is coming at the problem from the opposite direction: it sees the Windows Server hardware first and layers virtualization on top of it. There's a difference.

But is that difference so great that VMware can consistently charge a high premium? I miss VMware's old days, with Stanford professor and chief scientist Mendel Rosenblum and his wife, CEO Diane Greene calling the shots. At the time, VMware showed craftiness at both charging for its hypervisor and offering a low-end version for free, just as Xen appeared on the scene. Imagine that. VMware dominated the high end of the market, and refused to abandon the possibility of playing in the low-end segment as well.

« Previous Page | 1 2 | 3  | 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.