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Posts Tagged ‘Virtualization’

Simplistically, data and information are related but not the same.  Just for the sake of this discussion, lets define data as bits, bytes, and types of files; whereas, information is the value to the organization in terms of usage (i.e. customer records, financial records, intellectual property, personal identifiable information (pii), executive communication, etc.).  As the need for storage of data and information continues to escalate, organizations must look to classify information.  Many industry experts might even say it is a critical step to survival, if not simply transformation.  Multiple strategic components of an overall IT strategy depend upon Information Classification such as cyber security, data loss prevention, and so on.  Thus, Information does have a lifecycle. Read the rest of this entry »

Ironically, one of the best mechanisms for organizing and managing an IT organization is its fundamental flaw as well.  Organizing IT in silos such as server, storage, network, security, service management, project management, or development groups has driven a behavior that has proven to be detrimental to the over all health of the organization itself.

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In the September 24, 2010 issue of Processor magazine, there is an article titled “Running The Data Center” where I am quoted on behalf of Engaged Consulting. It’s great to again have the opportunity to be talking about a topic that is very relevant and timely to our customers — the fit of automation in the operation of data centers. Specifically, this piece is focused on “lights out” operations and remote locations. Again, given ubiquitous connectivity, location is almost irrelevant today. Remember, I said “almost”.

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I struggle with the implication that technology (a product or collection thereof) solves a problem.
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The process of information classification is a necessary evil in today’s enterprises. It is necessary to prevent data loss in any form or fashion, malicious or not. The process, if done correctly, is not trivial. The actual determination of classes is only the beginning. Applying it to an existing environment can be daunting. However, the transformation of an organization depends upon successful completion.
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Cloud Computing makes Enterprise Architecture more important & supremely relevant. Enterprise Architecture is not a cookie cutter approach which has the same duck shape for children, large circle for adults, and guitar heroes for teenagers. Enterprise Architecture will use Cloud Computing as an arrow in the quiver, if you will.

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Storage Management is only viable with visibility.  Visibility takes many different forms: business volume, database volume, legal discovery volume, infrastructure volume (server, storage, network, etc.), marketing volume, business intelligence volume, and so forth. You cannot manage that which you do not monitor, and you cannot monitor that which you are unaware of. While DFS and hardware thin provisioning are good tactical solutions, they are only covering the root cause, ineffective or no Enterprise Capacity Planning ( http://blog.engagedconsulting.com/?p=54 ).

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Disaster Recovery and Business Continuity are completely different. They are siblings but still two separate and unique topics. Disaster Recovery is technology + process + people for IT systems. Business continuity is people + process for business functions. You can have Business Continuity without Disaster Recovery. The opposite is a total waste of money. If there is no plan for the business to recover and connect to IT systems, you are pouring money down the drain.

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Centralization of IT is definitely a good start in cost savings; however, it is not, by any means, all that it is cracked up to be without a vision for the future with an architecture to match. What kind of savings were realized by decommissioning systems, applications, and common infrastructure components? These will be minimal in context to the true sharing of resources to provide standardized, commoditized, and meaningful service levels (platinum, gold, silver, etc.). A utility model is a blast from the past but still viable. Cloud computing, at its very root, is a derivative of utility computing.
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The issues why organizations are not adept at adapting is about:
1) Anxiety around Change (first and foremost)
2) Lack of Vision
3) Lack of appropriate policies based upon Vision
4) Ineffective / non-aligned Strategies that connect with the business
5) and the list goes on.

IT has been consumed as a commodity in the past and not as a service which has led to inappropriate expectations by business of IT, such as lower cost without an effect in service, agility, complexity, rigor, efficiency, and results.

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