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Vmware vExpert 2010

My vSphere Environment

CPU: 10,688 MHz
RAM: 8,186 MB
Storage: 122 GB


ESX Hosts: 2
Resource Pools: 3
Virtual Machines: 2


VMotions: 0
Power States:
(1) (1) (0)



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Besser UBER : Celerra VSA UBER v2

What is better than UBER?

UBER version 2.

It has only been 19 days since the original release of the Celerra VSA UBER edition for the masses. The response has been overwhelming and encouraging. And out of that appreciation I am excited to present the Celerra VSA UBER V2 (version 2). It has a host of new features and now features the combined input of the vSpecialist team to put the shine on it.

If you are not familiar with the original feature list with the first UBER version, then go here first.

Here are the new features and enhancements in UBER Version 2:

Even shorter initial setup Better network configuration. Removal of old style Control Center config from original VSA (Thanks to Eric Hollis & Kevin Z for help) Besser UBER : Celerra VSA UBER v2

Hello Hyper-V : Meet Reality (part deux)

However, in forward looking design scenarios Hyper-V does stand differently against newer Windows Server versions. With an apples to apples design using Windows Server 2008 and beyond, the battle is more over the cost, operational capability, and long-term value than support or compatibility choices. [...]

Continue reading Hello Hyper-V : Meet Reality (part deux)

Hello Hyper-V : Meet Reality

I am writing this blog post to address some specific annoyances in reasoning. While I have made a career in being a Microsoft guy (along with VMware, Cisco, EMC, and Nissan sportscars) I have some serious problems with the marketing pitch around Hyper-V. [...]

Continue reading Hello Hyper-V : Meet Reality

Virtualization & Abstraction : The New Paradigm

This post is inspired by this outstanding post by Chuck Hollis (@chuckhollis) and this one by Chad Sakac (@sakacc).

Chuck mentions my favorite way to summarize what virtualization encompasses: “abstracts logical from physical”. What makes abstraction critical is that it breaks historical dependencies that develop as technologies are built over time. I have said this phrase hundreds of times over the last four years of my career and in my mind it translates into an incredible paradigm shift in data center approach over the next ten years.

A good example of this is the push to service-oriented architecture design principles in the enterprise application space over the last decade. The whole gist was to enable business functionality to achieve Virtualization & Abstraction : The New Paradigm

Optimization vs. Scaling: How virtualization affects the scorecard

Image via Wikipedia

Many times I have seen situations where an application or process grows incrementally to a point where it is no longer able to meet it’s SLAs (whether official or imaginary). The cause of this can vary but is usually:

Overworked/Unbalanced teams -  Too much effort dedicated to new feature-add and not enough to technical debt Poorly planned systems – Designs for immediate need without taking into account needs for things like instantiation or scaling of decoupled components. Poor maintenance/understanding – Lack of knowledge or effort to tune application/process to more effectively use resources. This can exist in both the application and infrastructure groups.

Usually the performance degradation is known early on but accepted because the business users are not making a big enough stink; or at least not big enough to reduce the drive for new features. In addition, lack of monitoring [...]

Continue reading Optimization vs. Scaling: How virtualization affects the scorecard

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