SlideShare a Scribd company logo
1 of 28
Download to read offline
Data Center Design for
            the 21st Century
Best Practices on Operational Efficiency from the IBM Data Center Study

                The IT Services Site Webinar Sponsored by
Webinar Logistics
Today’s Featured Speakers


                      Virginia Agee
                  IDC Research Director
              Data Center Trends & Strategies



                     David Aubuchon
            IBM Data Center Services Executive
Virginia Agee, IDC Research Director - Data Center Trends & Strategies

David Aubuchon, IBM Data Center Services Executive
May 22, 2012




Data Center Design for the 21st Century:
Best Practices on Operational Efficiency from the IBM Data Center Study




                                                                         © 2012 IBM Corporation
The study addressed server, storage, network, facility and data
center operations to learn what is being implemented today


                 It represents 308 clients in 7 countries and 25 industries

                Geography                         Sector                          Organization Size
                                        Other              Distribution     >10,000                 0 – 999
 Asia Pacific               Europe       18%               12%
                            29%                                            employees                employees
       30%                                                                      13%                 28%
                                     Comms
                                       10%                    Industrial
                                                              26%

      Latin                              Public        Financial
    America         North America         21%          Services                    1,000 – 9,999 employees
      10%           31%                                13%                                            59%




    58% plan significant data center investments in next 2 years
    68% are the first to adopt or rapid technology adopters
                                                                                                 © 2012 IBM Corporation
Poll Question #1

What is the main industry for your company?

A. Distribution
B. Industrial
C. Financial Services
D. Public
E. Communications
F. Other
One in five, or 21%, of clients have highly efficient data centers—
and are allocating 50% more of their IT budget to new projects


          How much of your IT budget            Improving data center operational
                is spent on:                   efficiency allows spending to go to:

Maintain existing
infrastructure                                • Improving public safety or
                               New projects     providing more citizen services
Basic                           35%           • Transforming core banking and
data                                            payment systems
centers
            65%
                                              • Implementing smart grids or
                                                improving generation performance
                               New projects   • Allocating funds to other business
Strategic                                       priorities
data                             53%
centers
            47%

                                                                          © 2012 IBM Corporation
Characteristics of highly efficient data centers

                                             Optimize the IT and
                                             facilities assets to maximize
                                             capacity and availability

                                             Design for flexibility to
                                             support changing business
                                             needs

                                             Use automation tools to
                                             improve service levels and
                                             availability

                                             Have a plan that aligns with
                                             the business goals and
                                             keep it current



                                                                  © 2012 IBM Corporation
Design implications from highly efficient data centers


  Right size capacity and
   availability to get the best
   return on investment
  Design for flexibility to
   support changing business
   needs
  Optimize long-term data
   center operational
   expenses, not just up-front
   capital costs

                                                         © 2012 IBM Corporation
Highly efficient data centers right size by matching business needs to
current and future capability


                           Right Size Data Center Facilities


                           77%



                                                                     41%
                                              33%
         25%                                                                     22%
                                  14%
                      0%                                2%

     Forecast space          Forecast       Implement high and low   Have fully redundant
      (10-20 years)        power demand          density zones             systems

                                                                     Strategic         Basic




10                                                                               © 2012 IBM Corporation
Right Size

Rightsizing can yield significant benefits. An IBM data center in
Lexington gained 8x IT capacity and avoided $50M capital cost

                                     8x growth in
                                      IT capacity
                                     2x growth in
                                      number of
                     10x             servers
                     increase                         Compute        Visibility,
   Establish        in asset                         Resources
    baseline                                                        Automation,
                     utilization                                      Control
    energy use
   20x more                     Consolidate                                   15-20% power savings
    servers than                and Virtualize     Best                         from actual usage
    needed                                       Practices
                   Diagnose                                     Right size infrastructure to
                              Improved                          virtualized IT workloads
                              Operations

                                         10% improvement from
                                           less over cooling


   Use analytic tools and software monitoring to right-size the facility
            infrastructure after server virtualization projects
                                                                                           © 2012 IBM Corporation
Right Size

Analytical tools can be used to right-size capacity providing a solution
tailored to meet your business growth

                                         Banking and finance                                                                          Business unit of
                                                                                  Distribution company in
                                         customer in volatile                                                                     hospitality organization
                                                                                 stable agricultural market
                                               market                                                                              in low-growth market
   Business
     plan                          675 percent power increase
                                   230 percent space increase


                                                                                150 percent power increase
                                                                                                                            No change in power
   Capacity                                                                     No change in space
                                                                                                                            60 percent space decrease
   forecast

                                     1   2    3   4    5   6    7    8   9 10   1   2   3   4   5     6    7   8   9 10      1    2   3   4   5    6     7   8   9   10
                                                       Year                                         Year                                          Year

     Design                          IBM created a modular                      IBM recommended                                  IBM provided metrics for
                                     expansion plan for the data                retaining their existing                         a staged release of physical
    direction                        center by linking capital and              data center with power                           space, aiding lease
                                     operational expenses to                    and cooling upgrades,                            negotiations and saving
                                     business growth.                           reducing capital expense                         US$400,000 per year.
                                                                                by US$13 million.


   * Based on IBM client engagements; individual results can vary.                                                                                © 2012 IBM Corporation
Right Size

 Analysis shows the impact of your technology lifecycle providing
 improved plans to maximize capacity and flexibility for change

                                Today                                                      2020
50% of server density is < 5 kw/Rack or less                           60% of server density is > 10-20 kw/rack

                                                                        45%
                                                                        40%
 60%
                                                                        35%
 50%
                                                                        30%
 40%                                                                    25%
 30%                                                                    20%                      h
                                       h


 20%                                                                    15%
                                                                        10%
 10%
                                                                        5%
 0%
                                                                        0%
       0      5        10         15        20        25     30   35
                                                                              0   5   10    15       20        25        30           35

                                                                                            Kilowatts/rack
                                 Kilowatts/rack



          Predicted density over a period of time is a pre-requisite to better design
          Analytics can create a density requirement model to plan for changes over time
          Support unknown capacity: design for 3-5x power density over a 10-year time
          Designing high / low density zones saved over $1 Million per year

            Based on IBM estimates from client engagements
                                                                                                             © 2012 IBM Corporation
Right Size

Availability analysis can be used to identify the cost and impact
trade-offs for your organization to frame a complex decision

Cost                                                             Value                                                                  Optimal solution
Generate data center                                             Forecast for the business                                              Determine the most
designs alternatives                                             benefit of each alternative                                            efficient design



                                                                    Generator redundancy1

                                      US$980K
                                                                       3.618           3.864           3.865                "2N"
                      US$765K

   US$498K                                                                                                                 "N+1"

                                                                                                                                  "N"

                                                                                                                                        US$1M             US$400M
         "N"             "N+1"           "2N"                           "N"            "N+1"            "2N"

   Additional annual expenses2                                      Reduction in annual outages2                                        Cost per outage to justify
                                                                                                                                          additional expenses2

1Other   applications include cooling system redundancy, electrical system distribution, UPS technology, etc …
2Based   on IBM Proprietary Analytics using expected lifespan of equipment, data center vulnerabilities and operational quality

                                                                                                                                                          © 2012 IBM Corporation
Highly efficient data centers recognize that change occurs naturally and
have designed more flexibility into their approach


                                            Design for Flexibility


              86%

                                                         68%
                                                                   53%
                                   48%                                       47%
                        43%
                                             27%

                                                                                         9%


     First and fast technology   Percentage of servers    Build in smaller   Upgrade Mechanical /
             adoption                 virtualized          increments        Electrical equipment
                                                                              without disruption
                                                                             Strategic         Basic




15                                                                                       © 2012 IBM Corporation
Poll Question #2

What percent of virtualization have you achieved for your servers

A. > 60%
B. 40% - 60%
C. 20% - 40%
D. 10% - 20%
E. < 10%
Flexible Design

 Capital and operational cost analysis shows data centers with on
 demand capability is a practical and cost effective solution

         Data center capital costs                                                                                  Facility operating costs
         60% costs from mechanical /                                                                     3-5X capital costs; energy can be 75%
             electrical systems                                                                          $250
                                                                                                                         Energy Cost




                                                             Cumulative Cost of Operations ($Millions)
                                                                                                                         Staffing
                            Mechanical                                                                                   Bldg. Maint. & Mgmt.
                                                                                                         $200
                            20%                                                                                          R E Tax
                                    Instrumentation
                                    & Controls                                                           $150
Fees
                                    4%
24%
                                                                                                         $100



                                        Power
                                                                                                         $50
                                        36%
Fit-Up
                                                                                                            0
 Costs                                                                                                          1    2   3   4   5    6   7   8   9   10 11   12 13 14 15 16 17   18 19 20

    9%     Shell                                                                                                                                      Year

             7%
    SCALABLE MODULAR DATA CENTER   ENTERPRISE MODULAR DATA CENTER                                                   PORTABLE MODULAR DATA CENTER                   HIGH DENSITY ZONE




                                                                                                                                                                     © 2012 IBM Corporation
Flexible Design

Data centers with a long and extended life without disruptive retrofits
despite changing demands from technology is becoming a reality


                                                      Capital Costs
Good design is an insurance                  Provide up to 3x the power density
policy that provide flexibility.              with lower up front capital costs

 5-10% up front capital costs
                                        $M               Pay now               Pay later
 versus paying ~50% higher
    costs plus a disruptive             30
                                                                                            $25M
         retrofit later.                25
                                        20     $17M
                                                        $15M                  $14M
• Provision for potential water         15
  cooling                               10
• Modular UPS design and chiller        5
  plant design
                                        0
• Electrical switchgear sized to grow              1x                                  3x
                                                      Power Density Growth (# times)
                                                            Incremental costs

                                                                                   © 2012 IBM Corporation
Highly efficient data center optimize capital and operating costs over the
10-20 year useful life of the facility


                            Optimize Capital and Operating Costs


           76%                79%


                     53%                           49%

                                                                          31%
                                                             17%
                                        6%
                                                                                      0%

     Evaluate capital and     Measure energy     Follow ASHRAE industry     Monitor thermal
       operating costs        efficiency (PUE)          standards             conditions

                                                                          Strategic         Basic




19                                                                                    © 2012 IBM Corporation
Poll Question #3

What is your primary data center's Power Usage Effectiveness (PUE)
rating?

A. >3.5
B. 2.5 to 3.5
C. 1.5 to 2.5
D. 1.0 to 1.5
E. We don't measure PUE
Optimize Costs

       A singular focus on capital costs can lead to sub-optimized data
       centers

                         Capital Cost Analysis                                    Operating Cost Analysis
             Show 5x difference in technology alternatives                  Show 2.5x difference for vendor alternatives

             $2                                                             $3            Technology 1, Vendor A
                                                                                          Technology 1, Vendor C
                                                                            2.5
             1.5                                                                          Technology 3, Vendor G
                                                                             2




                                                               $ Millions
$ Millions




              1                                                             1.5

                                                                              1
              .5
                                                                             .5

              0                                                              0
                                                                                  1   2   3    4   5    6   7      8     9      10
                   Technology #1 Technology #2 Technology #3
                                                                                                    Year

                        Reduce data center total costs 15-30% over its useful life
                      Improve decisions looking at vendor and technology tradeoffs
                                                                                                                © 2012 IBM Corporation
                   Source: IBM Estimates
Optimize Costs

Monitoring and management tools provide on-going visibility to
improve operational management and operational costs


         Insight from Analytics                       On-going Monitoring
    Power savings from improved cooling            5x improvement in PUE based on
                efficiencies                            monitoring from start-up
                                          PUE

                                          6.0
  Service AC Units                        5.0
       16.5%
                                          4.0
                                          3.0
Cable Cutouts                  Turn off
   13.5%                        CRACs     2.0
                                 50%
                                          1.0
Perforated Tiles                          0.0
      20%                                       Startup   Month 3   Month 6     Full Load



              Use real-time monitoring for day-to-day visibility
       Analytics provide insight to go beyond the “low hanging” fruit
                                                                              © 2012 IBM Corporation
―No regrets‖ actions to improve your next data center facility
―Right-size‖ capacity and availability
 Find underutilized assets and make changes
 Use analytics to define capacity and availability to meet
  the business needs
 Use real time management systems to stay focused
  continued improvement
Design for flexibility
 Design any new infrastructure investments for scalability
  to support changes in demand and technology
 Allow for scalability in smaller increments over time
 Design for additions to be non-disruptive
 Plan for water cooling to support higher density servers
Optimize total costs over the long term
 Measure efficiency on a real time basis
 Ensure trade-offs between capital and operating costs are
  included in all business cases
 Implement actions that will provide short payback in all
  situations


                                                              © 2012 IBM Corporation
A trusted partner knows one size does not fit all. They will
help you determine the right solution to meet your needs
  Design / build 200-300 world-class data centers each year around the world
  Experts help design an efficient, scalable and reliable solution to meet your business needs
  End to end solution provider from strategy to design to move in ready




         Determine               Model
                               outcomes            Design a             Increase
            the                                   world-class
                                 before                                automation
         business                                 data center
                                  you
          needs
                               implement
       Map the             Model space          Design an          Improve
       business needs      and capacity         efficient,         operational
       to data center      during design        scalable and       efficiency and
       technical           process              reliable           reduce outages
       requirements                             solution to        due to human
                                                meet your          error
                                                business needs
                                                                                   © 2012 IBM Corporation
For more information, please visit




Register for the data center study paper: www.ibm.com/data-center/study

      Data center services: www.ibm.com/services/smarterdatacenter

                                                               © 2012 IBM Corporation
Questions?
Please submit your questions now


                           Virginia Agee
                       IDC Research Director
                  Data Center Trends & Strategies



                         David Aubuchon
                IBM Data Center Services Executive
Resources

         To view this or other events on demand, please visit:
       http://www.theitservicessite.com/webinar_archives.asp

                  For more information, please visit:
                      www.theitservicessite.com

                IBM Server optimization and integration

                        IBM Data Center Study
                http://www.ibm.com/data-center/study

                       IBM Smarter Data Center
            http://www.ibm.com/services/smarterdatacenter
Thank you for attending!

More Related Content

What's hot

IBM Next Gen ALM 2012
IBM Next Gen ALM 2012IBM Next Gen ALM 2012
IBM Next Gen ALM 2012Kurt Solarte
 
Smart Grid Operational Services: Selecting the Right Mobile Solution
Smart Grid Operational Services: Selecting the Right Mobile SolutionSmart Grid Operational Services: Selecting the Right Mobile Solution
Smart Grid Operational Services: Selecting the Right Mobile SolutionCapgemini
 
Informix and POWER7
Informix and POWER7Informix and POWER7
Informix and POWER7Stas Kolbin
 
Data center flexibility and efficiency: increasing the business value of IT
Data center flexibility and efficiency: increasing the business value of ITData center flexibility and efficiency: increasing the business value of IT
Data center flexibility and efficiency: increasing the business value of ITIBM India Smarter Computing
 
Datacraft Asia Strategy For Services 2010
Datacraft Asia Strategy For Services 2010Datacraft Asia Strategy For Services 2010
Datacraft Asia Strategy For Services 2010Joshua Hong
 
CIO Study 2009 Full Report
CIO Study 2009 Full ReportCIO Study 2009 Full Report
CIO Study 2009 Full ReportNone
 
Utility Mobile IT Adoption
Utility Mobile IT AdoptionUtility Mobile IT Adoption
Utility Mobile IT AdoptionCapgemini
 
How Intelligent Operations Enables Proactive Data Center Management
How Intelligent Operations Enables Proactive Data Center ManagementHow Intelligent Operations Enables Proactive Data Center Management
How Intelligent Operations Enables Proactive Data Center ManagementITOutcomes
 
Overview of IBM Capabilities
Overview of IBM CapabilitiesOverview of IBM Capabilities
Overview of IBM CapabilitiesIBMGovernmentCA
 
Smart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitSmart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitNicole Waddell
 
HCLT Whitepaper : G3 Data Centers
HCLT Whitepaper : G3 Data CentersHCLT Whitepaper : G3 Data Centers
HCLT Whitepaper : G3 Data CentersHCL Technologies
 
Demystifying cloud computing with IBM POWER Systems and IBM i
Demystifying cloud computing with IBM POWER Systems and IBM i Demystifying cloud computing with IBM POWER Systems and IBM i
Demystifying cloud computing with IBM POWER Systems and IBM i COMMON Europe
 
BMC Software proactive operations platform
BMC Software proactive operations platformBMC Software proactive operations platform
BMC Software proactive operations platformInfraVision
 
Cloud computing on_a_smarter_planet
Cloud computing on_a_smarter_planetCloud computing on_a_smarter_planet
Cloud computing on_a_smarter_planetHossam Zein
 

What's hot (18)

IBM Next Gen ALM 2012
IBM Next Gen ALM 2012IBM Next Gen ALM 2012
IBM Next Gen ALM 2012
 
IBM zEnterprise: Distribution
IBM zEnterprise: DistributionIBM zEnterprise: Distribution
IBM zEnterprise: Distribution
 
Smart Grid Operational Services: Selecting the Right Mobile Solution
Smart Grid Operational Services: Selecting the Right Mobile SolutionSmart Grid Operational Services: Selecting the Right Mobile Solution
Smart Grid Operational Services: Selecting the Right Mobile Solution
 
Informix and POWER7
Informix and POWER7Informix and POWER7
Informix and POWER7
 
Data center flexibility and efficiency: increasing the business value of IT
Data center flexibility and efficiency: increasing the business value of ITData center flexibility and efficiency: increasing the business value of IT
Data center flexibility and efficiency: increasing the business value of IT
 
IBM zEnterprise: Healthcare
IBM zEnterprise: HealthcareIBM zEnterprise: Healthcare
IBM zEnterprise: Healthcare
 
Datacraft Asia Strategy For Services 2010
Datacraft Asia Strategy For Services 2010Datacraft Asia Strategy For Services 2010
Datacraft Asia Strategy For Services 2010
 
ERP for Big Valley City
ERP for Big Valley CityERP for Big Valley City
ERP for Big Valley City
 
CIO Study 2009 Full Report
CIO Study 2009 Full ReportCIO Study 2009 Full Report
CIO Study 2009 Full Report
 
Utility Mobile IT Adoption
Utility Mobile IT AdoptionUtility Mobile IT Adoption
Utility Mobile IT Adoption
 
Intel and Big Data
Intel and Big DataIntel and Big Data
Intel and Big Data
 
How Intelligent Operations Enables Proactive Data Center Management
How Intelligent Operations Enables Proactive Data Center ManagementHow Intelligent Operations Enables Proactive Data Center Management
How Intelligent Operations Enables Proactive Data Center Management
 
Overview of IBM Capabilities
Overview of IBM CapabilitiesOverview of IBM Capabilities
Overview of IBM Capabilities
 
Smart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations SummitSmart Metering, Networking and Operations Summit
Smart Metering, Networking and Operations Summit
 
HCLT Whitepaper : G3 Data Centers
HCLT Whitepaper : G3 Data CentersHCLT Whitepaper : G3 Data Centers
HCLT Whitepaper : G3 Data Centers
 
Demystifying cloud computing with IBM POWER Systems and IBM i
Demystifying cloud computing with IBM POWER Systems and IBM i Demystifying cloud computing with IBM POWER Systems and IBM i
Demystifying cloud computing with IBM POWER Systems and IBM i
 
BMC Software proactive operations platform
BMC Software proactive operations platformBMC Software proactive operations platform
BMC Software proactive operations platform
 
Cloud computing on_a_smarter_planet
Cloud computing on_a_smarter_planetCloud computing on_a_smarter_planet
Cloud computing on_a_smarter_planet
 

Viewers also liked

Akfiler12 upgrade advisor
Akfiler12 upgrade advisorAkfiler12 upgrade advisor
Akfiler12 upgrade advisorAccenture
 
Lifting fog-cloud
Lifting fog-cloudLifting fog-cloud
Lifting fog-cloudAccenture
 
Cloud servers-new-risk-considerations
Cloud servers-new-risk-considerationsCloud servers-new-risk-considerations
Cloud servers-new-risk-considerationsAccenture
 
Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库Accenture
 
Big data, big deal ms it168文库
Big data, big deal ms it168文库Big data, big deal ms it168文库
Big data, big deal ms it168文库Accenture
 
Cloud adaption
Cloud adaptionCloud adaption
Cloud adaptionAccenture
 
Taneja grouptechnologyvalidation scalecomputing
Taneja grouptechnologyvalidation scalecomputingTaneja grouptechnologyvalidation scalecomputing
Taneja grouptechnologyvalidation scalecomputingAccenture
 
Shunra app cloud_whitepaper
Shunra app cloud_whitepaperShunra app cloud_whitepaper
Shunra app cloud_whitepaperAccenture
 
Giga om procloud2013
Giga om procloud2013Giga om procloud2013
Giga om procloud2013Accenture
 
Ak12 upgrade
Ak12 upgradeAk12 upgrade
Ak12 upgradeAccenture
 
Statistically adaptive learning for a general class of..
Statistically adaptive learning for a general class of..Statistically adaptive learning for a general class of..
Statistically adaptive learning for a general class of..Accenture
 
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAst 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAccenture
 
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAst 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAccenture
 
In god we_trust
In god we_trustIn god we_trust
In god we_trustAccenture
 
493144 infosys slides_v5
493144 infosys slides_v5493144 infosys slides_v5
493144 infosys slides_v5Accenture
 
Outils et ressources numériques en Histoire-Géographie
Outils et ressources numériques en Histoire-GéographieOutils et ressources numériques en Histoire-Géographie
Outils et ressources numériques en Histoire-GéographieChristine FIASSON
 

Viewers also liked (20)

Akfiler12 upgrade advisor
Akfiler12 upgrade advisorAkfiler12 upgrade advisor
Akfiler12 upgrade advisor
 
Lifting fog-cloud
Lifting fog-cloudLifting fog-cloud
Lifting fog-cloud
 
Cloud servers-new-risk-considerations
Cloud servers-new-risk-considerationsCloud servers-new-risk-considerations
Cloud servers-new-risk-considerations
 
Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库
 
Dw bi
Dw biDw bi
Dw bi
 
Big data, big deal ms it168文库
Big data, big deal ms it168文库Big data, big deal ms it168文库
Big data, big deal ms it168文库
 
Cloud adaption
Cloud adaptionCloud adaption
Cloud adaption
 
Taneja grouptechnologyvalidation scalecomputing
Taneja grouptechnologyvalidation scalecomputingTaneja grouptechnologyvalidation scalecomputing
Taneja grouptechnologyvalidation scalecomputing
 
Shunra app cloud_whitepaper
Shunra app cloud_whitepaperShunra app cloud_whitepaper
Shunra app cloud_whitepaper
 
Giga om procloud2013
Giga om procloud2013Giga om procloud2013
Giga om procloud2013
 
Ak12 upgrade
Ak12 upgradeAk12 upgrade
Ak12 upgrade
 
Ak12 pam
Ak12 pamAk12 pam
Ak12 pam
 
Statistically adaptive learning for a general class of..
Statistically adaptive learning for a general class of..Statistically adaptive learning for a general class of..
Statistically adaptive learning for a general class of..
 
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAst 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
 
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analyticsAst 0060878 wayne-eckerson_research_report_big_data_analytics
Ast 0060878 wayne-eckerson_research_report_big_data_analytics
 
In god we_trust
In god we_trustIn god we_trust
In god we_trust
 
493144 infosys slides_v5
493144 infosys slides_v5493144 infosys slides_v5
493144 infosys slides_v5
 
Maximiser votre marketing
Maximiser votre marketingMaximiser votre marketing
Maximiser votre marketing
 
Keynotes Le Mobile 2013
Keynotes Le Mobile 2013Keynotes Le Mobile 2013
Keynotes Le Mobile 2013
 
Outils et ressources numériques en Histoire-Géographie
Outils et ressources numériques en Histoire-GéographieOutils et ressources numériques en Histoire-Géographie
Outils et ressources numériques en Histoire-Géographie
 

Similar to Dc design

IBM Power Event, Keynote Presentation Doug Davis
IBM Power Event, Keynote Presentation Doug DavisIBM Power Event, Keynote Presentation Doug Davis
IBM Power Event, Keynote Presentation Doug DavisIBM Danmark
 
Smarter Datacenter - Sanjeev Gupta
Smarter Datacenter - Sanjeev GuptaSmarter Datacenter - Sanjeev Gupta
Smarter Datacenter - Sanjeev GuptaJyothi Satyanathan
 
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...Accenture
 
01 roland top storage trends_praha_02
01 roland top storage trends_praha_0201 roland top storage trends_praha_02
01 roland top storage trends_praha_02IDC_CEMA
 
Five best practices for ensuring uptime with Data Center Infrastructure Manag...
Five best practices for ensuring uptime with Data Center Infrastructure Manag...Five best practices for ensuring uptime with Data Center Infrastructure Manag...
Five best practices for ensuring uptime with Data Center Infrastructure Manag...CA Nimsoft
 
Server Virtualization and Beyond
Server Virtualization and BeyondServer Virtualization and Beyond
Server Virtualization and BeyondHerb Hernandez
 
Service Availability and Performance Management - PCTY 2011
Service Availability and Performance Management - PCTY 2011Service Availability and Performance Management - PCTY 2011
Service Availability and Performance Management - PCTY 2011IBM Sverige
 
Cloud Computing
Cloud ComputingCloud Computing
Cloud ComputingFonality
 
Rethink IT. Reinvent Business. - Dharanibalan Gurunathan
Rethink IT. Reinvent Business. - Dharanibalan GurunathanRethink IT. Reinvent Business. - Dharanibalan Gurunathan
Rethink IT. Reinvent Business. - Dharanibalan GurunathanJyothi Satyanathan
 
Revlon Technical Case Study
Revlon Technical Case StudyRevlon Technical Case Study
Revlon Technical Case StudyNetApp
 
Transforming Your Business Management with Cloud Computing
Transforming Your Business Management with Cloud ComputingTransforming Your Business Management with Cloud Computing
Transforming Your Business Management with Cloud ComputingInnoTech
 
Smarter Computing Integrated Systems
Smarter Computing Integrated SystemsSmarter Computing Integrated Systems
Smarter Computing Integrated SystemsIBMGovernmentCA
 
IBM Smarter Business 2012 - PureSystems - PureData
IBM Smarter Business 2012 - PureSystems - PureDataIBM Smarter Business 2012 - PureSystems - PureData
IBM Smarter Business 2012 - PureSystems - PureDataIBM Sverige
 
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...Jyothi Satyanathan
 
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...Emulex Corporation
 
Smarter Software for Smarter Governments
Smarter Software for Smarter GovernmentsSmarter Software for Smarter Governments
Smarter Software for Smarter GovernmentsIBMGovernmentCA
 
Cloud computing nyttigt även innanför brandväggen
Cloud computing nyttigt även innanför brandväggenCloud computing nyttigt även innanför brandväggen
Cloud computing nyttigt även innanför brandväggenMikael Haglund
 
Data Center Management: Where Brain Meet Braun
Data Center Management: Where Brain Meet BraunData Center Management: Where Brain Meet Braun
Data Center Management: Where Brain Meet BraunAFCOM
 

Similar to Dc design (20)

IBM Power Event, Keynote Presentation Doug Davis
IBM Power Event, Keynote Presentation Doug DavisIBM Power Event, Keynote Presentation Doug Davis
IBM Power Event, Keynote Presentation Doug Davis
 
Smarter Datacenter - Sanjeev Gupta
Smarter Datacenter - Sanjeev GuptaSmarter Datacenter - Sanjeev Gupta
Smarter Datacenter - Sanjeev Gupta
 
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...
06072012 the it_services_site_ibm__server_virtualization_and_beyond_webinar_f...
 
01 roland top storage trends_praha_02
01 roland top storage trends_praha_0201 roland top storage trends_praha_02
01 roland top storage trends_praha_02
 
Five best practices for ensuring uptime with Data Center Infrastructure Manag...
Five best practices for ensuring uptime with Data Center Infrastructure Manag...Five best practices for ensuring uptime with Data Center Infrastructure Manag...
Five best practices for ensuring uptime with Data Center Infrastructure Manag...
 
Server Virtualization and Beyond
Server Virtualization and BeyondServer Virtualization and Beyond
Server Virtualization and Beyond
 
IBM Private Cloud
IBM Private CloudIBM Private Cloud
IBM Private Cloud
 
Service Availability and Performance Management - PCTY 2011
Service Availability and Performance Management - PCTY 2011Service Availability and Performance Management - PCTY 2011
Service Availability and Performance Management - PCTY 2011
 
Cloud Computing
Cloud ComputingCloud Computing
Cloud Computing
 
Pulse Executive Panel
Pulse Executive PanelPulse Executive Panel
Pulse Executive Panel
 
Rethink IT. Reinvent Business. - Dharanibalan Gurunathan
Rethink IT. Reinvent Business. - Dharanibalan GurunathanRethink IT. Reinvent Business. - Dharanibalan Gurunathan
Rethink IT. Reinvent Business. - Dharanibalan Gurunathan
 
Revlon Technical Case Study
Revlon Technical Case StudyRevlon Technical Case Study
Revlon Technical Case Study
 
Transforming Your Business Management with Cloud Computing
Transforming Your Business Management with Cloud ComputingTransforming Your Business Management with Cloud Computing
Transforming Your Business Management with Cloud Computing
 
Smarter Computing Integrated Systems
Smarter Computing Integrated SystemsSmarter Computing Integrated Systems
Smarter Computing Integrated Systems
 
IBM Smarter Business 2012 - PureSystems - PureData
IBM Smarter Business 2012 - PureSystems - PureDataIBM Smarter Business 2012 - PureSystems - PureData
IBM Smarter Business 2012 - PureSystems - PureData
 
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...
Smarter Storage in the Smarter Computing Era - A New Approach to Storage - Ak...
 
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...
Emulex and Enterprise Strategy Group Present Why I/O is Strategic for Virtual...
 
Smarter Software for Smarter Governments
Smarter Software for Smarter GovernmentsSmarter Software for Smarter Governments
Smarter Software for Smarter Governments
 
Cloud computing nyttigt även innanför brandväggen
Cloud computing nyttigt även innanför brandväggenCloud computing nyttigt även innanför brandväggen
Cloud computing nyttigt även innanför brandväggen
 
Data Center Management: Where Brain Meet Braun
Data Center Management: Where Brain Meet BraunData Center Management: Where Brain Meet Braun
Data Center Management: Where Brain Meet Braun
 

More from Accenture

Certify 2014trends-report
Certify 2014trends-reportCertify 2014trends-report
Certify 2014trends-reportAccenture
 
Calabrio analyze
Calabrio analyzeCalabrio analyze
Calabrio analyzeAccenture
 
Tier 2 net app baseline design standard revised nov 2011
Tier 2 net app baseline design standard   revised nov 2011Tier 2 net app baseline design standard   revised nov 2011
Tier 2 net app baseline design standard revised nov 2011Accenture
 
Perf stat windows
Perf stat windowsPerf stat windows
Perf stat windowsAccenture
 
Performance problems on ethernet networks when the e0m management interface i...
Performance problems on ethernet networks when the e0m management interface i...Performance problems on ethernet networks when the e0m management interface i...
Performance problems on ethernet networks when the e0m management interface i...Accenture
 
NetApp system installation workbook Spokane
NetApp system installation workbook SpokaneNetApp system installation workbook Spokane
NetApp system installation workbook SpokaneAccenture
 
Migrate volume in akfiler7
Migrate volume in akfiler7Migrate volume in akfiler7
Migrate volume in akfiler7Accenture
 
Migrate vol in akfiler7
Migrate vol in akfiler7Migrate vol in akfiler7
Migrate vol in akfiler7Accenture
 
Data storage requirements AK
Data storage requirements AKData storage requirements AK
Data storage requirements AKAccenture
 
C mode class
C mode classC mode class
C mode classAccenture
 
Akfiler upgrades providence july 2012
Akfiler upgrades providence july 2012Akfiler upgrades providence july 2012
Akfiler upgrades providence july 2012Accenture
 
Reporting demo
Reporting demoReporting demo
Reporting demoAccenture
 
Net app virtualization preso
Net app virtualization presoNet app virtualization preso
Net app virtualization presoAccenture
 
Providence net app upgrade plan PPMC
Providence net app upgrade plan PPMCProvidence net app upgrade plan PPMC
Providence net app upgrade plan PPMCAccenture
 
WSC Net App storage for windows challenges and solutions
WSC Net App storage for windows challenges and solutionsWSC Net App storage for windows challenges and solutions
WSC Net App storage for windows challenges and solutionsAccenture
 
50,000-seat_VMware_view_deployment
50,000-seat_VMware_view_deployment50,000-seat_VMware_view_deployment
50,000-seat_VMware_view_deploymentAccenture
 
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...Accenture
 
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11Accenture
 
Snap mirror source to tape to destination scenario
Snap mirror source to tape to destination scenarioSnap mirror source to tape to destination scenario
Snap mirror source to tape to destination scenarioAccenture
 

More from Accenture (20)

Certify 2014trends-report
Certify 2014trends-reportCertify 2014trends-report
Certify 2014trends-report
 
Calabrio analyze
Calabrio analyzeCalabrio analyze
Calabrio analyze
 
Tier 2 net app baseline design standard revised nov 2011
Tier 2 net app baseline design standard   revised nov 2011Tier 2 net app baseline design standard   revised nov 2011
Tier 2 net app baseline design standard revised nov 2011
 
Perf stat windows
Perf stat windowsPerf stat windows
Perf stat windows
 
Performance problems on ethernet networks when the e0m management interface i...
Performance problems on ethernet networks when the e0m management interface i...Performance problems on ethernet networks when the e0m management interface i...
Performance problems on ethernet networks when the e0m management interface i...
 
NetApp system installation workbook Spokane
NetApp system installation workbook SpokaneNetApp system installation workbook Spokane
NetApp system installation workbook Spokane
 
Migrate volume in akfiler7
Migrate volume in akfiler7Migrate volume in akfiler7
Migrate volume in akfiler7
 
Migrate vol in akfiler7
Migrate vol in akfiler7Migrate vol in akfiler7
Migrate vol in akfiler7
 
Data storage requirements AK
Data storage requirements AKData storage requirements AK
Data storage requirements AK
 
C mode class
C mode classC mode class
C mode class
 
Akfiler upgrades providence july 2012
Akfiler upgrades providence july 2012Akfiler upgrades providence july 2012
Akfiler upgrades providence july 2012
 
NA notes
NA notesNA notes
NA notes
 
Reporting demo
Reporting demoReporting demo
Reporting demo
 
Net app virtualization preso
Net app virtualization presoNet app virtualization preso
Net app virtualization preso
 
Providence net app upgrade plan PPMC
Providence net app upgrade plan PPMCProvidence net app upgrade plan PPMC
Providence net app upgrade plan PPMC
 
WSC Net App storage for windows challenges and solutions
WSC Net App storage for windows challenges and solutionsWSC Net App storage for windows challenges and solutions
WSC Net App storage for windows challenges and solutions
 
50,000-seat_VMware_view_deployment
50,000-seat_VMware_view_deployment50,000-seat_VMware_view_deployment
50,000-seat_VMware_view_deployment
 
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...
Tr 3998 -deployment_guide_for_hosted_shared_desktops_and_on-demand_applicatio...
 
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11
Tr 3749 -net_app_storage_best_practices_for_v_mware_vsphere,_dec_11
 
Snap mirror source to tape to destination scenario
Snap mirror source to tape to destination scenarioSnap mirror source to tape to destination scenario
Snap mirror source to tape to destination scenario
 

Dc design

  • 1. Data Center Design for the 21st Century Best Practices on Operational Efficiency from the IBM Data Center Study The IT Services Site Webinar Sponsored by
  • 3. Today’s Featured Speakers Virginia Agee IDC Research Director Data Center Trends & Strategies David Aubuchon IBM Data Center Services Executive
  • 4. Virginia Agee, IDC Research Director - Data Center Trends & Strategies David Aubuchon, IBM Data Center Services Executive May 22, 2012 Data Center Design for the 21st Century: Best Practices on Operational Efficiency from the IBM Data Center Study © 2012 IBM Corporation
  • 5. The study addressed server, storage, network, facility and data center operations to learn what is being implemented today It represents 308 clients in 7 countries and 25 industries Geography Sector Organization Size Other Distribution >10,000 0 – 999 Asia Pacific Europe 18% 12% 29% employees employees 30% 13% 28% Comms 10% Industrial 26% Latin Public Financial America North America 21% Services 1,000 – 9,999 employees 10% 31% 13% 59% 58% plan significant data center investments in next 2 years 68% are the first to adopt or rapid technology adopters © 2012 IBM Corporation
  • 6. Poll Question #1 What is the main industry for your company? A. Distribution B. Industrial C. Financial Services D. Public E. Communications F. Other
  • 7. One in five, or 21%, of clients have highly efficient data centers— and are allocating 50% more of their IT budget to new projects How much of your IT budget Improving data center operational is spent on: efficiency allows spending to go to: Maintain existing infrastructure • Improving public safety or New projects providing more citizen services Basic 35% • Transforming core banking and data payment systems centers 65% • Implementing smart grids or improving generation performance New projects • Allocating funds to other business Strategic priorities data 53% centers 47% © 2012 IBM Corporation
  • 8. Characteristics of highly efficient data centers Optimize the IT and facilities assets to maximize capacity and availability Design for flexibility to support changing business needs Use automation tools to improve service levels and availability Have a plan that aligns with the business goals and keep it current © 2012 IBM Corporation
  • 9. Design implications from highly efficient data centers  Right size capacity and availability to get the best return on investment  Design for flexibility to support changing business needs  Optimize long-term data center operational expenses, not just up-front capital costs © 2012 IBM Corporation
  • 10. Highly efficient data centers right size by matching business needs to current and future capability Right Size Data Center Facilities 77% 41% 33% 25% 22% 14% 0% 2% Forecast space Forecast Implement high and low Have fully redundant (10-20 years) power demand density zones systems Strategic Basic 10 © 2012 IBM Corporation
  • 11. Right Size Rightsizing can yield significant benefits. An IBM data center in Lexington gained 8x IT capacity and avoided $50M capital cost  8x growth in IT capacity  2x growth in number of  10x servers increase Compute Visibility,  Establish in asset Resources baseline Automation, utilization Control energy use  20x more Consolidate  15-20% power savings servers than and Virtualize Best from actual usage needed Practices Diagnose  Right size infrastructure to Improved virtualized IT workloads Operations  10% improvement from less over cooling Use analytic tools and software monitoring to right-size the facility infrastructure after server virtualization projects © 2012 IBM Corporation
  • 12. Right Size Analytical tools can be used to right-size capacity providing a solution tailored to meet your business growth Banking and finance Business unit of Distribution company in customer in volatile hospitality organization stable agricultural market market in low-growth market Business plan 675 percent power increase 230 percent space increase 150 percent power increase No change in power Capacity No change in space 60 percent space decrease forecast 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 Year Year Year Design IBM created a modular IBM recommended IBM provided metrics for expansion plan for the data retaining their existing a staged release of physical direction center by linking capital and data center with power space, aiding lease operational expenses to and cooling upgrades, negotiations and saving business growth. reducing capital expense US$400,000 per year. by US$13 million. * Based on IBM client engagements; individual results can vary. © 2012 IBM Corporation
  • 13. Right Size Analysis shows the impact of your technology lifecycle providing improved plans to maximize capacity and flexibility for change Today 2020 50% of server density is < 5 kw/Rack or less 60% of server density is > 10-20 kw/rack 45% 40% 60% 35% 50% 30% 40% 25% 30% 20% h h 20% 15% 10% 10% 5% 0% 0% 0 5 10 15 20 25 30 35 0 5 10 15 20 25 30 35 Kilowatts/rack Kilowatts/rack  Predicted density over a period of time is a pre-requisite to better design  Analytics can create a density requirement model to plan for changes over time  Support unknown capacity: design for 3-5x power density over a 10-year time  Designing high / low density zones saved over $1 Million per year Based on IBM estimates from client engagements © 2012 IBM Corporation
  • 14. Right Size Availability analysis can be used to identify the cost and impact trade-offs for your organization to frame a complex decision Cost Value Optimal solution Generate data center Forecast for the business Determine the most designs alternatives benefit of each alternative efficient design Generator redundancy1 US$980K 3.618 3.864 3.865 "2N" US$765K US$498K "N+1" "N" US$1M US$400M "N" "N+1" "2N" "N" "N+1" "2N" Additional annual expenses2 Reduction in annual outages2 Cost per outage to justify additional expenses2 1Other applications include cooling system redundancy, electrical system distribution, UPS technology, etc … 2Based on IBM Proprietary Analytics using expected lifespan of equipment, data center vulnerabilities and operational quality © 2012 IBM Corporation
  • 15. Highly efficient data centers recognize that change occurs naturally and have designed more flexibility into their approach Design for Flexibility 86% 68% 53% 48% 47% 43% 27% 9% First and fast technology Percentage of servers Build in smaller Upgrade Mechanical / adoption virtualized increments Electrical equipment without disruption Strategic Basic 15 © 2012 IBM Corporation
  • 16. Poll Question #2 What percent of virtualization have you achieved for your servers A. > 60% B. 40% - 60% C. 20% - 40% D. 10% - 20% E. < 10%
  • 17. Flexible Design Capital and operational cost analysis shows data centers with on demand capability is a practical and cost effective solution Data center capital costs Facility operating costs 60% costs from mechanical / 3-5X capital costs; energy can be 75% electrical systems $250 Energy Cost Cumulative Cost of Operations ($Millions) Staffing Mechanical Bldg. Maint. & Mgmt. $200 20% R E Tax Instrumentation & Controls $150 Fees 4% 24% $100 Power $50 36% Fit-Up 0 Costs 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 9% Shell Year 7% SCALABLE MODULAR DATA CENTER ENTERPRISE MODULAR DATA CENTER PORTABLE MODULAR DATA CENTER HIGH DENSITY ZONE © 2012 IBM Corporation
  • 18. Flexible Design Data centers with a long and extended life without disruptive retrofits despite changing demands from technology is becoming a reality Capital Costs Good design is an insurance Provide up to 3x the power density policy that provide flexibility. with lower up front capital costs 5-10% up front capital costs $M Pay now Pay later versus paying ~50% higher costs plus a disruptive 30 $25M retrofit later. 25 20 $17M $15M $14M • Provision for potential water 15 cooling 10 • Modular UPS design and chiller 5 plant design 0 • Electrical switchgear sized to grow 1x 3x Power Density Growth (# times) Incremental costs © 2012 IBM Corporation
  • 19. Highly efficient data center optimize capital and operating costs over the 10-20 year useful life of the facility Optimize Capital and Operating Costs 76% 79% 53% 49% 31% 17% 6% 0% Evaluate capital and Measure energy Follow ASHRAE industry Monitor thermal operating costs efficiency (PUE) standards conditions Strategic Basic 19 © 2012 IBM Corporation
  • 20. Poll Question #3 What is your primary data center's Power Usage Effectiveness (PUE) rating? A. >3.5 B. 2.5 to 3.5 C. 1.5 to 2.5 D. 1.0 to 1.5 E. We don't measure PUE
  • 21. Optimize Costs A singular focus on capital costs can lead to sub-optimized data centers Capital Cost Analysis Operating Cost Analysis Show 5x difference in technology alternatives Show 2.5x difference for vendor alternatives $2 $3 Technology 1, Vendor A Technology 1, Vendor C 2.5 1.5 Technology 3, Vendor G 2 $ Millions $ Millions 1 1.5 1 .5 .5 0 0 1 2 3 4 5 6 7 8 9 10 Technology #1 Technology #2 Technology #3 Year Reduce data center total costs 15-30% over its useful life Improve decisions looking at vendor and technology tradeoffs © 2012 IBM Corporation Source: IBM Estimates
  • 22. Optimize Costs Monitoring and management tools provide on-going visibility to improve operational management and operational costs Insight from Analytics On-going Monitoring Power savings from improved cooling 5x improvement in PUE based on efficiencies monitoring from start-up PUE 6.0 Service AC Units 5.0 16.5% 4.0 3.0 Cable Cutouts Turn off 13.5% CRACs 2.0 50% 1.0 Perforated Tiles 0.0 20% Startup Month 3 Month 6 Full Load Use real-time monitoring for day-to-day visibility Analytics provide insight to go beyond the “low hanging” fruit © 2012 IBM Corporation
  • 23. ―No regrets‖ actions to improve your next data center facility ―Right-size‖ capacity and availability  Find underutilized assets and make changes  Use analytics to define capacity and availability to meet the business needs  Use real time management systems to stay focused continued improvement Design for flexibility  Design any new infrastructure investments for scalability to support changes in demand and technology  Allow for scalability in smaller increments over time  Design for additions to be non-disruptive  Plan for water cooling to support higher density servers Optimize total costs over the long term  Measure efficiency on a real time basis  Ensure trade-offs between capital and operating costs are included in all business cases  Implement actions that will provide short payback in all situations © 2012 IBM Corporation
  • 24. A trusted partner knows one size does not fit all. They will help you determine the right solution to meet your needs  Design / build 200-300 world-class data centers each year around the world  Experts help design an efficient, scalable and reliable solution to meet your business needs  End to end solution provider from strategy to design to move in ready Determine Model outcomes Design a Increase the world-class before automation business data center you needs implement Map the Model space Design an Improve business needs and capacity efficient, operational to data center during design scalable and efficiency and technical process reliable reduce outages requirements solution to due to human meet your error business needs © 2012 IBM Corporation
  • 25. For more information, please visit Register for the data center study paper: www.ibm.com/data-center/study Data center services: www.ibm.com/services/smarterdatacenter © 2012 IBM Corporation
  • 26. Questions? Please submit your questions now Virginia Agee IDC Research Director Data Center Trends & Strategies David Aubuchon IBM Data Center Services Executive
  • 27. Resources To view this or other events on demand, please visit: http://www.theitservicessite.com/webinar_archives.asp For more information, please visit: www.theitservicessite.com IBM Server optimization and integration IBM Data Center Study http://www.ibm.com/data-center/study IBM Smarter Data Center http://www.ibm.com/services/smarterdatacenter
  • 28. Thank you for attending!