Posts Tagged ‘Cloud Pyramid’


GoGrid’s Network Performance Beats IaaS Competition – CloudSleuth Report

Wednesday, October 12th, 2011 by

For the past 12 months, CloudSleuth, a service provided by Compuware, has been pulling in millions of network performance data points in order to compile a report that compares the network performance of leading cloud providers. A sample of the report results is shown below and more details can be found on the CloudSleuth’s blog post. We commend Compuware for taking a leadership role in providing these necessary benchmarks and reports of the cloud space as this type of 3rd party, independent analysis is extremely useful and helpful to those shopping for the right cloud to support their business.

At GoGrid, our technology stack is not simply around infrastructure devices like servers, firewalls, storage and load balancers. We also view Operating System choice, horizontal & vertical scalability, CPU and I/O performance, our partner ecosystem, our image management and deployment systems, and yes, network management, availability and performance as well. By doing just a bit of research, you will see that cloud providers vary greatly in what they can or cannot offer and how well they do it.

It is significant to note that this performance study ranks all types of cloud service providers juxtaposed together — PaaS, IaaS and even VMware shops. We call this out because there are definite distinctions between types of cloud (see Cloud Pyramid below). As we use this important data to better educate our customers and prospects, there was an interesting fact that bubbled up – if you segment and categorize the results, GoGrid’s network led the IaaS category.


(Note: categorization of PaaS/IaaS added by GoGrid)

Compuware mapped out its benchmarking strategy to measure the differences in network performance of these leading clouds. The Compuware team pulled statistics from 25 providers from different presences around the globe (as part of the Gomez Performance Network). The results are interesting, to say the least, especially since the analysis clearly indicates that GoGrid’s US EAST data center was the best performing within main IaaS providers (e.g., Amazon, Rackspace and others).

(more…) «GoGrid’s Network Performance Beats IaaS Competition – CloudSleuth Report»

McKinsey’s McCrazy! Flying through the Clouds with Eyes 1/2 Closed

Friday, May 1st, 2009 by

half-closed plane windowThe recent McKinsey reportClearing the air on cloud computing” has caused quite a bit of stir within the cloud community, and I can see why. While it definitely brings a good deal of analysis to the table, I feel it is somewhat generalized, makes assumptions and does overlook some key points.

First and foremost, this article is NOT going to be an analytical discussion of the cost of running or setting up a datacenter vs. an Amazon EC2 Windows instance. I’m not a financial analyst. Honestly, calculating the Total Cost of Assets (TCA) or Total Cost of Operations (TCO) causes my eyes to roll back into my head leaving me gasping for air. Don’t get me wrong, it seems like some good effort was made analyzing data and formulating conclusions. The problem is, I feel that they were on a jetliner, shooting through the clouds with the shades 1/2 down.

Before I start with my own analysis and commentary, I would like to reference a few responses I have read that somewhat chastise McKinsey.

Three “Rebuttal” Articles to Read

The first comes from CIO IT Drilldown’s Virtualization site. In his articleMcKinsey Cloud Computing Report Conclusions Don’t Add Up,” Bernard Golden does the major lifting for me in terms of analysis. I have highlighted some key points from the article that I viewed to be particularly important (my highlighted version of the article is here). I particularly enjoyed Golden’s rebuttal to the analysis of cost calculations, namely use of EC2 Windows instances, headcounts that don’t add up and other “less visible” capital expenses for facilities and other assets. Also as Golden points out, McKinsey proposes that better efficiencies and savings can be realized through virtualization within the organization. To me, the McKinsey recommendation seems a bit counter-intuitive: “Don’t go with a vendor whose expertise IS virtualization, hardware, infrastructure, et al. Instead, DO try to do it yourself, with tremendous CapEx & OpEx expense.” Hmmm, makes sense to me, NOT! Lastly, I particularly liked Golden’s 3 recommendations (quoted from article):

  1. Review your portfolio of applications to understand what cloud computing means to you.
  2. Create a viable financial model for assessing the true costs of internal hosting.
  3. Evaluate the potential for an internal cloud even if the numbers don’t work with an external cloud provider.

(more…) «McKinsey’s McCrazy! Flying through the Clouds with Eyes 1/2 Closed»

Navigating the Layers of the Cloud Computing Pyramid

Thursday, March 26th, 2009 by

Over the past year, I have written about the various primal layers of Cloud Computing. Typically, my role is to “over simplify” in order to make the Cloud a bit more palpable by “the masses.” My colleague, Randy Bias, is the resident über-tech, so I usually leave the more complicated developer and sys-admin posts to him. As we all know, the Cloud is hot and becoming increasingly complicated as new products, services and vendors throw their hats into the ring. But is this over-complication confusing and saturating the market? I think not, in terms of the latter, but it is truly becoming more confusing.


First, we at GoGrid, broadly define Cloud Computing as such (latest definition):

On-demand self-service Internet infrastructure where you pay-as-you-go and use-only what you need, all managed by a browser, application or API.

Even that definition I feel is a bit skewed toward Infrastructure. Probably more aptly defined, it would be:

On-demand, self-service Applications, Platforms, Services or Infrastructure dynamically consumed on a pay-as-you-go basis using a browser, application or API.

(more…) «Navigating the Layers of the Cloud Computing Pyramid»

Podcast: GoGrid’s Telemachus Luu & Michael Sheehan and f5′s Peter Silva on Cloud Computing

Wednesday, March 11th, 2009 by

f5_devcentralLast week I had the pleasure of joining Peter Silva (Technical Marketing Manager at f5) and Telemachus Luu (Director of Business Strategy at GoGrid/ServePath) in a podcast hosted by f5 on their DevCentral community site. The topic of the podcast was “Cloud Computing” (of course) but specifically how using f5 technology, ServePath and GoGrid were able to create a full spectrum of hosting solutions ranging from Dedicated and Managed Hosting (ServePath) and Colocation hosting(ColoServe), up and into the Clouds with GoGrid.

The podcast titled “Hosting in the Cloud with ServePath and F5” covers a variety of topics including:

  • ServePath’s product extension from managed hosting to cloud hosting with GoGrid
  • The “Cloud Pyramid” and distinctions within the various Cloud layers
  • Understanding the nuances within the Cloud Infrastructure layer: “Infrastructure Web Services” & “Cloudcenters”
  • How f5 was paramount in creating a Cloud Computing Infrastructure offering

I encourage you to listen to this 30 minute podcast (forgive the audio quality, we were in an empty conference room) which is available at the following locations:

  • On f5′s DevCentral site
  • As a downloadable MP3 file
  • Play from this site (click on the graphic below)

    Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.

(more…) «Podcast: GoGrid’s Telemachus Luu & Michael Sheehan and f5′s Peter Silva on Cloud Computing»

“10 Obstacles to Cloud Computing” by UC Berkeley & How GoGrid Hurdles Them

Thursday, February 19th, 2009 by

By now, many in the Cloud Computing space have heard about (or even read) the University of California Electrical Engineering & Computer Science’s (EECS) study on Cloud Computing titled: “Above the Clouds: A Berkeley View of Cloud Computing.” Published on February 10th, 2009, the EECS’s paper provides a seemingly academic study of the Cloud Computing movement, attempts to explain what Cloud Computing is all about, and identifies potential opportunities as well as challenges present within the market.

The 20+ page study is authored by Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy H. Katz, Andrew Konwinski, Gunho Lee, David A. Patterson, Ariel Rabkin, Ion Stoica and Matei Zaharia who all work in RAD Lab. (Interestingly, several of the companies mentioned within the study are also Founding Sponsors and/or affiliate members: Sun, Google, Microsoft, Amazon Web Services, etc.).

There has already been plenty of discussion and analysis of this study (by James Urquhart, Krishna Sankar and has even appeared on Needless to say, I felt compelled to get my two cents in, especially from the perspective of a Cloud Computing Infrastructure vendor.


From an academic standpoint, this document definitely has some legs. It is complete with carefully thought out scenarios, examples and even formulae, as well as graphs and tables. Some of the points that are brought up even got me scratching my head (e.g., using flash memory to help by “adding another relatively fast layer to the classic memory hierarchy”). Even the case analysis of a DDoS attack from a cost perspective of those initiating an attack to those warding off an attack on a Cloud was interesting to ponder. I commend these group of authors on undertaking such a grand task of not only writing by committee but also overlaying a very business school vs. mathematics and computer sciences approach to the writing and analysis.

Unfortunately, however, as I read through the document, I started scrawling madly in the margins with commentary that is somewhat contrary to what was written within the study.

(more…) «“10 Obstacles to Cloud Computing” by UC Berkeley & How GoGrid Hurdles Them»