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Watch Diane Bryant, Intel CIO, talks about the cash machines in data centers in this press breifing. Haven't heard about the amazing cash machines for your data centers yet?! Better check it out now: Installing Cash Machines in your Data Center

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At a recent event our CIO, Diane Bryant, talked about our continued plan to replace old servers in our Data Centers (http://www.tgdaily.com/content/view/44213/135/). Here is a summary of her key points:

  • Not replaceing servers could have costed Intel $19 million due to high maintenance and cooling cost
  • Our plan of refreshing old servers with Nehalem servers will save Intel $250 million over 8 years

 

If you are an IT manager looking at where you can find extra dollar in your IT budget to invest in new technology, new innovation and new competitive capability for your organization, this must be good news for you! Moreover, if you do nothing, you are opening a hole in your IT budget.

 

Here is a recent white paper and a video we published to discuss our server refresh strategy and how we are getting the cost benefit Diane Bryant shared:

Realizing Data Center Savings with an Accelerated Server Refresh Strategy

 

We have also developed a Server Refresh ROI estimator so you can calculater the amount of savings you can get from these cash machines:

http://www.intel.com/go/xeonestimator

 

If you ain't satisfied, here is a video showing you how to use the estimator!

 

Go and install those cash machines into your data centers now! 8-)

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    Last week I had the opportunity to attend the CIO Forum held in conjunction with the Insight 2009 Annual Conference in Orlando, FL.  While being held adjacent to Disney’s theme park, the theme of this event was appropriately titled “Vision Voice Value”.


    I spent two days discussing best practices, sharing lessons learned from Intel IT and comparing notes and strategies with leading CIOs, IT Directors, Managers and Administrators in the Health Care profession.  Our focus? ways to deliver and articulate the business value of IT. I had the opportunity to:


    • participate in a roundtable discussion of ~15 Health Care CIOs titled “The value of IT in improving financial performance
    • present to 50-60 CIOs on the business value of server refresh
    • present to 20-30 IT Directors and Administrators on using the Xeon ROI tool as a way to justify server investment


    One of the most thought provoking questions at the CIO roundtable that has stuck with me is … “How does your CEO (or your business customers) view IT?”  … as a cost center (necessary evil) or as a value center (strategic enabler).  While no one directly answered this rhetorical question, it was clear that our collective mission is to migrate IT from cost center to value center.  This migration will not be immediate.  It happens over time.


    To enable this transformation from cost center to value center, we concluded that the accountability remains with IT, as IT professionals and CIOs must individually and collectively demonstrate business value through our investments and establish are relationship of IT predictability, trust and credibility with our business partners.   These are core themes I have seen very visibly inside Intel IT as I began my journey to the center of IT a few short months ago.


    My second observation from this event reinforces some personal experiences I have had working with many other IT professionals in the past several months.  With the global recession and it’s impacts to capital funding, the need to justify IT investment is greater than ever – and the competition internally for capital $ is very high.  We may never go back to the way it was.  We have seen this inside Intel IT’ organization as well and as a result, created at server refresh savings estimator tool to share what we learned in justifying our investment a proactive server refresh strategy in 2007 and staying committed to that investment in 2009.


    I demonstrated the server refresh savings estimator tool at the event to both the CIOs and IT Directors / Administrators and the feedback was very positive (“session was well worth my time”).   Prior to the event, I also had the opportunity to work with Deborah Gash (CIO for Saint Luke’s Health Services) and her staff.  Debe provided a glowing endorsement of the tool (Thanks Debe !!) after demonstrating the business value from a project already completed and the in intent to use it for several future projects. I invite you to learn more about why we created this tool and how to use it.  If you have a question or want to give us feedback on how to enhance it – just let me know with a comment on this blog.


    My final thought comes from a blog written by Don Sears at eweek.  Don discusses about the need for IT to be right, accurate, credible and trustworthy is so important whether you are working inside IT or with IT.  Credibility and Trust is something that is hard to gain and easy to lose … so it is easy to understand why being right is key to working with IT.  Getting it wrong can have huge consequences.


    Join us at IT@Intel and share your insights on our shared journey to transform IT from a cost center to a value center for business.  I look forward to hearing from you.


    Thanks, Chris

    If you like this, follow me on twitter

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Someone send me this Dilbert* strip yesterday. Data Center is in such high demand even Dilbert is building one. He was having trouble getting power to run the DC with air conditioning. He thought the servers would melt to a toxic bomb. I think he might be happy to know that he could actually run servers without air conditioning in a data center and he wouldn’t need to turn the DC into a museum.

 

Last year Don Atwood, a regional DC manager in Intel, has done a proof of concept (PoC) to challenge industry assumption in DC cooling by running a high density DC with only a air economizer and no air conditioner. In the PoC, Don ran two DC modules in parallel – one with traditional air conditioner as control; one with air economizer as the POC test. After 10 months, other than dusty servers in the POC module, there was virtually not side effect found on the 900 servers in the air economizer module. The hardware failure rate in both modules was similar, contrary to many would have believed. The biggest finding from the experiment was that we were able to reduce 67% energy consumption for DC cooling comparing with traditional data center cooling approach. Not only the reduction in energy consumption contributed to the IT sustainability programs, we also estimated using this new approach in a large 10-MW data center would save US$2.87 million annually (based on cost of $0.08 per KWH).

 

 

Have you try running your DC without air conditioning? Do you have any other innovative way in saving energy consumptions and cost in your data centers?

 

* Names and brands are properties of their respective owners

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I hate fixing the roof.  In fact, I have been postponing a roof repair over my garage for about 2 years now.  I recently read an article by Peter Kretzmen titled “IT, The CIO, and the Business Need for Roof Projects” and realized that while I can put off my roof repair, IT may not be able to postpone routine upgrades. 

 

For businesses, technology refresh is a standard business process (ie a roof fix).  The question for IT often boils down to WHEN I should upgrade, not IF. Why? … because hardware technology ages, maintenance costs rise, and software solutions can become unresponsive or obsolete as business needs change, user needs evolve and new technology and software become available. In this economy, cost is king and reducing IT costs has clearly become a critical imperative.

 

My colleagues in Intel IT recently conducted two separate and independent studies on how frequent we should refresh our PC fleet and data center servers.

 

PC Fleet Management:  John Mahvi and Avi Zarfaty from Intel IT recently wrote a paper titled “Using TCO to Determine PC Upgrade Cycles”.  The conclusion of this analysis showed that a 3.5 year refresh rate was optimal for total cost management in our IT environment.  Despite the fact that delaying PC refresh this year was initially seen as a cash conservation approach, the analysis showed that not refreshing older PCs increased the business’s overall costs.  As a beneficiary of PC refresh (I got a new laptop a month ago ), I can also personally attest that my productivity has gone up.

 

Data Center Efficiency:  Matt Beckert and Diane Boyington of Intel IT recently published a paper titled “Realizing Data Center Savings with an Accelerated Server Refresh Strategy”.  This paper discusses Intel IT’s movement to a proactive 4-year server refresh cadence in 2007 and illustrates both the long term savings (up to $250M over eight years) and immediate benefit to the corporate bottom line ($45M saved in 2008). After plans to refresh our servers was slowed earlier this year to preserve capital funds, a re-assessment was done that showed that Intel IT could save $19M by refreshing now vrs waiting until 2010.

 

Just like you shouldn’t sleep in a house with a leaking roof … it is prudent to not let old hardware create a hole in your IT budget. In today’s economic environment, Intel IT can’t afford a leaky roof and so we are moving forward with proactive business client PC and Server refresh, proven approaches to reduce TCO and boost business value.

 

Chris Peters, Intel IT

twitter @chris_p_intel

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Video Conference in Intel

Posted by Jimmy Wai Aug 7, 2009

Among the projects I am working on recently, one of them is deploying video conference solutions in Intel. Video conference has been gaining a lot of attention recently here. When I was talking to the CIO of a large organization in Hong Kong a few weeks ago, video conference was also a topics that came up in the conversation.

 

From what I have heard and seen, there seems to be a increase interest in this subject. There are three factors I believe are driving this. One is the impact of the current economy, which drives down travel budget. Video conference is a lower cost alternative to meet people when one cannot be physically there. The second factor is the increased focus in sustainability. By replacing travel will video conference, one can reduce the carbon footprint of the organization. The third factor is probably the advance of video conference technology. The systems have been getting better in terms of performance and cost. Many of them have gotten much more user friendly and Support more usage models. Some of them also work reasonably well on a laptop PC.

 

In Intel IT, we have a program that is trying to make video conference capabilities pervasive to our employees. We have deployed some high end solutions in a number of large sites during last year. We are going to deploy some middle tier and lower tier solutions during the rest of this year. We see these video solutions will bring benefits in areas of travel reduction, sustainability, employee productivity, enablement of new business models, and enhancing collaboration.

 

A simple survey for the pilot users of a table top solution confirmed that the video conference capability had increased team collaboration comparing to audio only meetings and increased engagement from remote participants. The survey also revealed that some tips and tricks needed to be advertised to use the solution effectively, although the system might appear intuitive to use.

 

How are you using video conference solutions in your organization? Do you have any experience and best know methods to share?

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Let me begin by way of introduction - I am a strategic financial analyst with Intel IT Finance organization focused on data center strategy and efficiency efforts.  This is my maiden voyage into the world of blogging, so I hope the topic is relevant and interesting to the audience.

Similar to many organizations, Intel IT is focused on constantly improving the cost of keeping the business running while not sacrificing the level of support required by customers.  With industry and technology solutions evolving at an increasing pace, choosing the most appropriate place and time to invest is paramount to driving down infrastructure costs.  Budget constraints in this economic climate and the make implementing efficiency efforts all the more daunting.

In 2008, Intel IT initiated a Design Server Refresh strategy where the basic premise was to leverage server performance improvements to respond to increasing compute requirements without growing data center capacity at a corresponding rate.  In 2008, we were able to remove 20,000 single core servers from our production environment, allowing us to realize approximately $45M savings through avoiding data center additions and server operating costs.  However, even with this strategy driving significant near term results, the 2009 operating environment forced us to pause and re-evaluate the merits of continuing execution to the strategy.

This re-evaluation concluded that this was an investment that couldn't be deferred due to the need for incremental growth and the high utilization of our existing data centers.  In addition, based on a average 10:1 consolidation, the refresh of single core servers would generate significant operating savings and clear more headroom than seen historically.  The details of this analysis are included in the White Paper:  Staying Committed to Server Refresh Reduces Cost

Questions for the readers: Do others have a refresh strategy or guideline? Are others seeing this type of impact/results and the challenges in implementation?

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If you read the 2007 and 2008 Intel IT Annual Performance Report, you will see a few sections describing the contributions we were able to provide towards effective software application inventory control.

 

In 2007, some of the quotables are:

"To prevent our application environment from becoming highly complex and inflexible, Intel IT established an end-of-life program to remove outdated and redundant applications."


We had quite a few items which were ripe for picking. Our goals were easy to achieve and through the implementation of some simple algorithms comparing usage with cost with other parameters, we were able to identify our low-hanging fruit.


As explained in previous posts, we created a software application in order to capture and maintain our software metadata. The architecture, development and maintenance of this solution keeps me busy on a day-to-day basis.

 

Our goals for 2007 were achieved.

In 2007, IT and its partners EOLed 468 applications, exceeding our goal of a 15 percent annual reduction. The estimated net present value savings from EOLing these applications is USD 66 million.


One of our largest wins was the removal of the older data warehouses

 

As we moved into 2008 our cost savings continued. We expanded the metadata captured and pulled some existing functionality into the solution in order to remove redundant capabilities on the enterprise.

We are continuing our initiative to significantly reduce costs by retiring applications that are outdated or no longer needed. This work began in 2007, when we identified that many of these applications still consumed platform or maintenance resources. We now have an ambitious plan to reduce IT-owned applications by 50%, from about 1,500 to 800, over four years.

As we increased our scope beyond IT, our real installation base was closer to 3,000 applications due to the custom solutions needed to support our factory operations and tools. We continue to save money and get closer and closer to our goal every day.

By the third quarter 2008, we had reduced the number of applications by 37 percent since the start of the program. Based on progress to date, we expect to achieve our 50 percent target by the third quarter of 2009, more than a year ahead of the original schedule. We expect that retiring applications will result in a NPV of more than USD 50 million.

 

We are definately on track. At the end of 2008 we met (and actually exceeded) our goals.
Every day it is becoming more difficult to find the solutions no longer needed and the resources to help remove them from the environment.

Two of our biggest wins for 2008 was the removal of the mainframe from the environment and the inclusion of e-Discovery information into our inventory solution.


What advice can I give you?

  • Be specific with your goals.
  • Hold people accountable.
  • Do the inventory early and often.
  • Know when you reach a goal and celebrate it!
  • Be vigilant so not to just add more software once you remove the old. Net-zero inventory is not a reduction.
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Trying to start off the new year with a question more than a statement as you can see from the subject.  I ask this because of some of the work I am currently doing.  Through the past several months we have been looking a several "influencing" factors and their possible effect on tomorrow's corporate environment.  Things such as consumerization, MID's, netbooks, bring your own computer and even the Generation Y workforce growing in size.  I think one area of "influence" we haven't looked at is legacy IT.  It is just as much an influence as new technologies and trends.  Many shops spend lots of money to put solutions, good or bad, in place.  Invest in infrastructure that made sense 3-5 years ago.  Set roadmaps that made sense when first proposed and established processes for how IT used to work or should have worked.  But the real question today is what would you do different?  Should we take a more agressive approach at End of Lifing pre-existing technologies and solutions that seem to cost more to support today or in some case are here to solve a problem that doesn't exist or has moved on somewhere else. What about out sourcing, how many jobs today no longer make sense from a corporate stand point?  Providing a service is one thing, but if you are providing the same service as the vendor at a higher cost, that really doesn't make sense.  I guess what I am really looking for is what is the value add?  What would you different and what is the value add you feel it would bring to your IT?

 

Just some food for thought to start the new year, I don't think there is a right or wrong answer, simply some space for some sipirted discussions

 

Please share your thoughts!

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Before I begin I just wanted to share that this is my first attempt at blogging and I’m really excited to try out this new medium (at least for me J).

 

My name is Gal Eylon, I’m a program manager within Intel IT and I am leading a team which is responsible for vPro adoption activities across our enterprise. Recently we have posted a white paper ( Implementing Intel(r) vPro(tm) Technology to Drive Down Client Management Costs ) that details the journey we have gone through in order to fully deploy vPro use cases within our production environment. The white paper walks you through our architecture and engineering phases and then takes a deep dive into the operational phase – which made use case deployment a reality for Intel.

 

Although our journey was not easy (and has only begun…) – we are pretty pleased from our results and hope you would benefit from this white paper and that it would ease your adoption activities within your environment. In addition - I would appreciate if you would share some of the experiences, BKMs and challenges you are facing within your enterprise. If you are looking for additional info regarding our adoption activities please let me know and I’ll be more than happy to share.

 

Happy New Year!
Gal.

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It is vitally important to give data consumers an indicator of the quality of your information. This helps to build a trust in the completeness and review state related to what they are consuming. What we have implemented is real-time, includes embedded business rules and a pretty little display.

 

So what did we do?

  • Created a Five tiered rating system Data Quality(DQ) State

  • Moving through each tier means that data completeness and audited quality checks are performed

  • As the software application moves through its life cycle, additional data elements become mandatory, which effects the dynamically calculated rating

  • DQ State value exposed for interfaced consumption

  • Shown on-screen with graphical representation

 

What is involved in each DQ State tier level?

 

  • DQ State 0: does not meet minimum required data

  • DQ State 1: Name, Business Description, Status, Manufacturer, Owner (Group/Contact)

  • DQ State 2: State 1 plus - Host, Software Type, User (count/location), Data Classification, Technology categories

  • DQ State 3: State 2 plus - Cost Assessment

  • DQ State 4: State 3 plus - Capability categories, Network communication details, Business Continuity details

 

This tiered approach begins to define higher quality for the data completeness as it moves up the defined levels. Not only having the blanks filled in, but the application of embedded business rules-based analysis to validate content, drives the state calculation. These are updated based on any change to any of the evaluated content.

 

What do you do in your organization? How do you ensure that the data "freshness" is preserved?

 

Previous topics include Application inventory, what do you capture?, Application inventory starts with a definition, Application inventory as a cost savings initiative and Application Inventory, the start of data sustainability?.

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Come join us!

 

The success of a security program is measured by an event that doesn't happen, so how do you know if you were successful? Matt Rosenquist, Intel’s Information Security Strategist will do a three-part series on Blog Talk Radio discussing the difficulties of measuring a security program.

 

Segment 1: May 20th at 10:30 AM (Pacific): The Problem of Measuring Security Part 1 of 3


Segment 2: May 29th at 10:30 AM (Pacific): Return on Security Investment - Intel Cast Study Part 2 of 3


Segment 3: June 4th at 10:30 AM (Pacific): Future State of Security Measurement Part 3 of 3


 

Our Blog Talk Radio segments are interactive and we will be taking live calls from listeners (Call-in Number: (347) 326-9831) and live chat over the Web.

 


What are your questions for Matt around security metrics?

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Up to this point I have covered Application inventory as a cost savings initiative followed by a discussion of Application inventory starts with a definition, and finally Application inventory, what do you capture?

 

Following the natural progression of:

  • Why inventory

  • Boundaries of what to capture

  • What to capture

  • How to capture

 

The "How to capture" is not a simple task completed in a week or two. For a company our size this task is still ongoing after fourteen months. And our progress shows us that we will need at least till the end of year to approach some semblance of sustainability. By sustainability I mean that the information, process and people will be in place to keep the data in a fresh state so that true data-based decisions can be made at near real-time.

 

Every day the clarity of our inventory gets sharper and sharper as we identify and pull in the data owners. The quality of the information becomes more focused as more of the profile is filled out. There are internal systems that are starting to rely on the data we have captured. That data is being transformed into true business information which has value and can be used to make the right decisions at the right time. At times, it still feels like an uphill battle. Each day we stand side-by-side with those who see the value and push on the back of our partners as we slowly progress up the hill.

 

Now knowing the definition and what data we want to capture we could have progressed in a multitude of ways:

  • Distributed work-load, individual owners

  • Focused work-load, our team owning (interviewing)

  • Centralized gathering (combination of above, driving people to a single location)

 

We chose to adopt the creation of a simple to use, centrally located (Intranet Application), that stored the data we needed. As mentioned in the past, we did our analysis by looking at applications on our enterprise that already contained the types of data we were interested in. What we discovered was that none of them had the flexibility to store the additional information nor the development resources to alter their systems. This pushed us to obtain permission to build a new application.

 

At this point you may be saying, "You built an application to reduce the number of applications?" Sometimes it is necessary to do the wrong thing in order to do the right thing. It would have been too easy to drop a spreadsheet out there and start gathering information. Short-term this would have cost the least and potentially would have allowed us to get part of the way there. The issue is the long-term sustainability and trust that comes from a solution like that. We would have security concerns, updating collision as well as the reduced ability to share the data easily with other applications.

 

Yes, we built a new application, using two people, in four weeks. Since implementation started we have supported weekly releases while expanding the data being captured, the usability for customers (and consumers) as well as enabling the removal of the majority of those other systems with parallel capabilities. We have great internal hosting solutions and have been operating non-stop since December 2006.

 

Our goal is still to do the right thing and properly manage our inventory through reduction. We were instrumental in providing the information and process needed to remove over 500 applications (and associated hardware) from our environment since we started our process.

 

In my next entry I will talk about some future enhancements to get us through the next year and the further reduction in application inventory we are charged with. Perhaps its time to start looking at how our original analysis for "Low Hanging Fruit" was successful and now we find ourselves making hard decisions in order to continue refining our inventory.

 

Have you had similar issues at your company? Do you currently have this challenge before you? I'm curious to hear some of those challenges and potential solutions.

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Up to this point I have covered Application inventory as a cost savings initiative followed by a discussion of Application inventory starts with a definition.

 

In our specific implementation, we started with a base set of attributes. Some of those were very obvious while others were necessary for managing some of our base enterprise capabilities. Items that were only captured in a 1:1 (one-to-one) relationship to any single specific application were:

  • Name

  • Description

  • Importance (a tiered level detailing the impact to our company)

  • Status (or state of the implementation)

  • Type (of application)

  • Manufacturer (if purchased)

  • Version

  • Owning Group

  • User Count

 

We also had some 1:M (one-to-many) related attributes which we cataloged in order to further build out the metadata for each instance.

  • Contact

  • Cost (develop, host, support, license)

  • Link (to external data)

  • Support

  • Technology

 

This was sufficient information for us to move along and begin consolidating data. As we engaged more and more teams and discovered localized stores of this data, our metamodel expanded to include a few more elements. Some of these also included associated increase in our own inventory tool capability. As this capability was implemented we were able to start turning off applications through consolidation (one of our key goals).

 

Additional Items (one-to-one)

  • Product Line (for ease of grouping and management)

  • Hosting Platform

  • User Description

  • Cross-Site Consumption

  • Customer Located External (to Intel)

  • Data Classifications (for information security and control)

  • Disaster Recovery Details

  • End of Life Tracking (legal and recovery data)

 

Additional Items (one-to-many)

  • Alias (alternate naming; the key to our success)

  • Capability

  • Component/Module

  • Customer Country/Region

  • Interface (consumption and providing)

  • Network Ports/Protocol

  • Product Testing (results, for future enterprise releases)

 

Many of them are specific to how we do business inside our company, however, you might find value in some of our learning's.

 

As I mentioned we discovered pockets of data and some little (and big) applications utilizing some of this data. It has become increasingly easy to implement an additional module that relates and consumes the data from the larger metamodel. From an architecture stand-point, we need to be careful not to develop this into a "jack-of-all-trades" application that does everything for everyone.

 

Up to this point we still only capture data (and functionality) that is related to the Application through direct relationship. As an example, we associate the application to what network port/protocol it uses, but not necessarily the network that is can pass across. We will capture the hosting platform name but not the specifics of that host. Instead we rely on interrelated systems to draw the larger picture of the whole enterprise.

 

Are we done?

Not even close. As noted in our Intel Information Technology 2007 Performance Report (page 12), this application and the associated capabilities we are developing is having a big impact. During 2007 we were instrumental in the end-of-life of over 450 applications. The metadata we capture and maintain have helped to identity instances of duplicity as well as opportunities where support and consumption have dropped to the point we can turn off the application.

 

In my next entry I will talk about how we were able to use two people resources and build an application in four weeks to solve this problem. Also how that solution has been running non-stop, for fifteen months with no downtime or impact to customers while increasing capability and usability while doing releases on average of every two weeks. Future posts will talk about some future enhancements to get us through the next year and the further reduction in application inventory we are charged with.

 

Have you had similar issues at your company? Do you currently have this challenge before you? I'm curious to hear some of those challenges and potential solutions.

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Every software project I have worked on always started with some form of conflict and complicated interactions.  This usually resolved itself through the use of a definition regarding roles and responsibilities.  That definition kept people on the same page and helped everyone to understand who was doing what.

 

Now depending on when you happened to look at my job title over the last 13 years, you may have seen one of the following:

  • Software Engineer

  • Application Developer

  • Enterprise Application Developer

  • Software Developer

 

This means only that I moved from one department to another, however, the physical tasks I employed were the same.  My output may have had a different installer/wrapper/output, however, it was the same.  I designed, developed, tested and deployed an application into our environment.

 

When it was time to define the characteristic (metadata) of an application, we needed to start with definitions. Not only what an "Application" is but what "Software" is and how (if) it differs from each other and from an "Operating System".

 

This is vitally important because no matter who you talk to, they will have a difference of opinion in this area.  Let me give you an example that we are currently dealing with.  We are implementing a CMDB (Configuration Management Database) for our Service and Support organization.  As our application data is pumped into that solution we had to decide whether it is an application or software.  The CMDB definitions basically stated that software was the core items used to build a hosting platform whereas an application is the code hosted on that platform.  A very specific definition for their very specific implementation.

 

Our definition was much more simple.

If it's coded, if you develop it, it is a software application simply referred to as an "Application".  This can be developed internally or purchased.  An application is not an operating system.

That means that everything running on our environment, that is loaded on top of an operating system, is an application and needs to be inventories.  That also means if it is a web-based solution, with software code, hosted within a web-hosting solution, however, it is still an application.

 

We did draw a very discreet line in that we did not want to inventory certain things.  Those are items that are "configured" inside of other applications.  Item such as:

  • Web sites without dynamic content, hosted within a dynamic web solution such as Microsoft Sharepoint or created with Microsoft Frontpage or another WYSIWYG client.

  • Templates configured for an application.

  • Fileshare

  • Hosting Platforms (configuration of hardware and application software)

 

To put forth some simple rules, that people can evaluate their "Application" before attempting to add it for evaluation, we came up wtih some simple rules.  It has to meet all of these with a yes response.

  • Installed on Intel (or contracted) hardware?

  • Initially used by more than one person (or application) at Intel?

  • Does this have (or has it ever had) a development/support team?

  • Does this have (or has it ever had) a development/release process?

 

This minimizes the possibility that we inventory applications that are sitting in a box, not installed on the environment.  It also means that items we paid for, installed, licensed and such, are included.  Whether on a server or on a client, we need to know about them so that we can work towards the simplification of our inventory.

 

Next I will cover how we have gone about gathering this data.  Some approaches work well while others don't.  Additionally, before you start gathering data you must have a solid review, maintenance and data quality processes in place or the data will be of no use for future analysis.

 

Have you undergone a similiar process?  Are you struggling with doing this inside your company?  Have questions?  Let us know.

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