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Do You Really Want a Nanny?

December 16, 2010 at 2:17 pm PST

14%

If you are a Cisco customer, or thinking about becoming a Cisco customer, that number should help you get a good night’s sleep.  Why? Because it represents the percent of our revenue we devoted to R&D in 2009 -- essentially towards developing solutions to the business and IT problems that you’re dealing with today or we expect you to see down the road.  As a percent of revenue, that puts us in pretty good company between Microsoft (14.6%) and Google (12%) and well ahead of some other IT folks such as IBM (6.1%), HP (2.4%) and Dell (1.2%).  Even in terms of absolute dollars, at $5B we are just behind IBM ($5.8B) and well ahead of HP ($2.77B) and Dell ($0.62B). (Source)

The customer benefit to this R&D spend is investment protection (i.e. we can afford to continue to invest in Nexus, Catalyst and MDS concurrently) and innovation with the development of new technologies such as extended memory on the UCS.  In short, it reduces customers’ risk and allows us to act on their asks.

So, you would think all this R&D and the resulting products and technologies are a good thing, but recently I have been pulled into a couple of conversations where we were accused of hurting the market for some interesting reasoning.

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Microsoft and Cisco UCS

Many of you reading Cisco’s Data Center blog know that UCS is all about virtualization, and many of you have also read about our partnership with VMWare.  While that’s been (and continues to be) a fruitful partnership, It’s important to highlight the great work we do with our other partners.  I work with a team of folks focused on continuing to build the alignment between Cisco and Microsoft.  Since the launch of UCS, we’ve had first-class support for Microsoft and their software portfolio, but sometimes that message is lost in the shuffle.  I look forward to using this blog as a venue to amplify our message around the Microsoft+Cisco partnership.

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The Journey to the Cloud

While there is more and more talk of cloud computing lately,  it’s not clear how data center managers can integrate this into their capacity planning in a standardized way. Most of the various approaches to both internal and external cloud computing offered today work differently from vendor to vendor, and vary by the type of application problem being solved or cloud service required. For example a business may choose to access an application in the cloud such as Salesforce.com, or choose to move a particular infrastructure or platform stack to an internal cloud technology or external cloud provider.  And for cloud computing to be truly valuable, it needs to offer the data center manager a range of technologies that work seamlessly together, deploying services as required to meet business needs.

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5 Things I Learned At Gartner Data Center

I spent the first part of this week in Las Vegas at the Gartner Data Center show.  I live to tell the tale. Here it is:

1.       I still hate Vegas and always will. The smoke. The expensive sleaze. The blasé, graceless service.  The aging, overburdened airport. The fact that you tend to spend your entire stay without ever seeing the sun or breathing fresh air.  And I’ve come back fluffier (with more avoirdupois, for non-American readers).

2.       Cloud, cloud, cloud, cloud. We even seem to be past the previously obligatory “nebulous” puns (finally!), because the conversation is no longer “what is cloud computing” or even “why cloud computing” but “what’s the best way to get there”.

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Taking the Guesswork out of Deploying Virtual Desktops: Cisco + VMware Validated Designs for View 4.5

So, like many IT organizations you may have already made the decision to deploy virtual desktops – you’re ready to move from a small pilot to full production.  But a lot of questions (and possibly some guesswork) stand in the way – what does the end state architecture need to look like?  How do you get there?  How are you going to make sure that you can move quickly and seamlessly from proof of concept to scalable production? Accounting for sufficient server capacity, network bandwidth and performance, storage IOPS, and especially quality of experience at the end-user level -- there are a lot of factors to contend with.  And how do you predict user behavior in a production environment, including the load they’ll collectively place on your infrastructure when they log into their brand-new virtual desktops on Monday morning? Read More »

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