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June 13th, 2007

Shared Services effort At XXb
                  XXa = Parent Company Business Unit a XXb = Company XX Business Unit b
                  OPS = Global Support Team    NWT = XXb’s Network Facing Support Team
Shared Services Overview

• Make up of Shared Services @ XXb
  • Virtualization
  • Farming
  • Process/Procedure/People
• Technology of Shared Services By:
  • Vendor
  • Concepts
• Experience Summary
  • Lessons Learned
  • Future Direction
Make up of Shared Services
(virtualization)


     Virtualization is a subset of Shared Services and the
           definition used at XXb is that of creation of
         logical OS zones/instances on a physical assets
• Virtual OS instance categorized by the
sharing of storage, cpu, memory and I/O
subsystems

• The only differentiation is in the manner
of hosting of these virtual OS instances
     •Shared OS Stack
          •SUN Containers
          •HP OpenVMS
     •Independent OS Stack/Hypervisor
          •EMC VMWare, HP vPar, Xen
          •IBM lPar, SUN Ldom
Make up of Shared Services
(virtualization cont.)



  • Reasons to Virtualization
     •   Reduce Server Sprawl, Infrastructure Costs
     •   Reduction in Physical Footprint
     •   Optimization of Physical Server Utilization
     •   Ease of Compute Provisioning
  • Dangers of Virtualization
     • OS Sprawl and Mgmt Cost Associated
     • Unknown Licensing Practices by SW Vendors and
       Associated Costs
     • Non Existent & Immature Chargeback, Reporting
       Practices
Make up of Shared Services
(reasons and evolution at XXb)



  • Reasons and Evolution of Shared Services Effort
     • Cost Savings Effort Due to Bankruptcy
     • Standardization and Centralization of Support and
        Infrastructure Organizations
  • Evolution
     • Identification of Low-Hanging Fruit
       • SOA Approach to HW Infrastructure Identified as Correct
         Approach
       • DB and Web Farming (Oracle, SQL, IIs, SharePoint, etc…)
       • VMWare (Linux, Windows 2003 virtual instances)
Make up of Shared Services
  (soa concept for hw infrastructure)


• Farm Monolithic
  Functionalities into
  Single OS Images
  • DB Farms
  • Web Farms
• Virtualize OS for
  Applications
  • OS-Dependency
  • Smaller Footprint Once
    Farming Aspect Applied –
    More Value
Make up of Shared Services
(vendor choices on virtualization)

                                   Independent Host
Shared OS Stack Dependency         OS/Hypervisor

                                   •   HP VM
• HP vPar
                                   •   SUN LDOMs
• SUN Containers
                                   •   EMC ESX VMWare
• HP OpenVMS
                                   •   Open Source Xen
• EMC GSX VMWare                   •   IBM LPar
• MS Virtual Server                •   IBM Micro Partitioning

                                       •   Licensing Cost Can eat into
  •   Bigger Savings Potential
                                           Savings
  •   Application Owners Need to
                                       •   Less Discipline Demand on
      be More Disciplined                  Application Owners
Virtualized/Farmed/Silo Cost Analysis

                       • Farmed/Virtualized
                         and Silo Cost Analysis
                         • Left Example Depicts
                           Cost Analysis of
                           Farmed vs. Virtual vs.
                           Silo Approach
                         • Analysis Critical to
                           Decision-Making
                         • Virtualization Approach
                           as a Blanket Approach
                           is not Cost Effective
                         • Farmed and Virtualized
                           Approached Needs to
                           be Strategically
                           Directed
XXb Current Examples
(Oracle Farms)

 •   Total of 55 Applications
 •   12 Apps Waiting Placement
 •   ?? Apps from End of Serviceable Life Initiative
 •   Consuming 250 CPUs
 •   Intel Linux and HP-UX
 •   Cost Avoidance > $19m
     • Silo Solution Cost Estimate
     •


     • HP-UX and Intel-Linux Farm Cost ~ $7m
     • Based on Cost to Procure 110 Servers @ Standard License
         and HW Costs for 55 Applications (Midrange 4 CPU SUN)
 • Farms are ~ 50% Filled
 • ROI Will Double
XXb Current Example
(SQL Farms)

  • Total of 122 Applications
  • 9 Apps Waiting Placement
  • ?? Apps from EOSL Initiative
  • Consuming 35 Intel Servers
  • Covering 4 Data Centers
  • Cost Avoidance > $2.5m
     •   Silo Solution Cost Estimate




     •   MS Intel SQL Farm Cost ~ $450k
     •   Based on Cost to Procure 244 Servers @ Standard License and
         HW Costs for 122 Applications ({2} 2 CPU Intel Servers)
  • Farms are ~ 50% Filled
  • ROI Will Double
XXb Current Example
(VMWare Farms)

•   Total of 68 Applications
•   289 Production Instances
•   98 Development Instances
•   ?? Apps from End of Serviceable LIfe Initiative
•   Consuming 60 Intel Servers
•   Covering 4 Data Centers
•   Cost Avoidance > $3.5m
    •   Silo Solution Cost Estimate




    •   VM Farm Cost ~ $1.4m
    •   Based on Cost to Procure 389 Servers @ Standard License and HW Costs
        for 68 Applications (2 CPU Intel Servers)
• Farms are ~ 50% Filled
• ROI Will Double
XXb Lessons Learned and Next Steps


Lessons Learned                                          Next Steps
                                                         •
•                                                            Process
    Reporting
    •   Critical in order to construct cost analysis         •   Modify current processes to encompass
    •                                                            flexible and dynamic change
        Cost analysis leads to application of correct
        technology solution to specific areas                    management
                                                             •
•                                                                Drive operational mgmt to a more
    Chargeback
                                                                 “hosted” approach due to virtualization
    •   Ease of virtual images will lead to population
                                                                 and farming
        explosion of virtualized assets
                                                             •   Initiate Chargeback Program
    •   Chargeback Mechanism is critical to control
        spend
                                                         •   Technology
•   Change Management                                        •   Continue drive to standardize on Solaris
    •   Critical to have feeds and process to evaluate           and Linux and App-Dependent OS targets
        infrastructure and strategic projects                •   Continue Farming Concepts
    •   Feedback from application owners and
                                                             •   Leverage ILM for SAN Use for Future
        business executives needed during changes
                                                                 Lower Storage Cost
        to current infrastructure standards
                                                             •   Work Through Network/Security Issues
•   Network Security                                             with Virtualization and Farming Initiatives
    •   Address concerns with Network and Security           •   Execute Thorough Capacity Planning
        earlier                                                  Initiative
    •   Network and Security Standards Do Not
        Always Facilitate Shared Services
        (Virtualization and/or Farming Concepts

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E Shared Services Effort

  • 1. June 13th, 2007 Shared Services effort At XXb XXa = Parent Company Business Unit a XXb = Company XX Business Unit b OPS = Global Support Team NWT = XXb’s Network Facing Support Team
  • 2. Shared Services Overview • Make up of Shared Services @ XXb • Virtualization • Farming • Process/Procedure/People • Technology of Shared Services By: • Vendor • Concepts • Experience Summary • Lessons Learned • Future Direction
  • 3. Make up of Shared Services (virtualization) Virtualization is a subset of Shared Services and the definition used at XXb is that of creation of logical OS zones/instances on a physical assets • Virtual OS instance categorized by the sharing of storage, cpu, memory and I/O subsystems • The only differentiation is in the manner of hosting of these virtual OS instances •Shared OS Stack •SUN Containers •HP OpenVMS •Independent OS Stack/Hypervisor •EMC VMWare, HP vPar, Xen •IBM lPar, SUN Ldom
  • 4. Make up of Shared Services (virtualization cont.) • Reasons to Virtualization • Reduce Server Sprawl, Infrastructure Costs • Reduction in Physical Footprint • Optimization of Physical Server Utilization • Ease of Compute Provisioning • Dangers of Virtualization • OS Sprawl and Mgmt Cost Associated • Unknown Licensing Practices by SW Vendors and Associated Costs • Non Existent & Immature Chargeback, Reporting Practices
  • 5. Make up of Shared Services (reasons and evolution at XXb) • Reasons and Evolution of Shared Services Effort • Cost Savings Effort Due to Bankruptcy • Standardization and Centralization of Support and Infrastructure Organizations • Evolution • Identification of Low-Hanging Fruit • SOA Approach to HW Infrastructure Identified as Correct Approach • DB and Web Farming (Oracle, SQL, IIs, SharePoint, etc…) • VMWare (Linux, Windows 2003 virtual instances)
  • 6. Make up of Shared Services (soa concept for hw infrastructure) • Farm Monolithic Functionalities into Single OS Images • DB Farms • Web Farms • Virtualize OS for Applications • OS-Dependency • Smaller Footprint Once Farming Aspect Applied – More Value
  • 7. Make up of Shared Services (vendor choices on virtualization) Independent Host Shared OS Stack Dependency OS/Hypervisor • HP VM • HP vPar • SUN LDOMs • SUN Containers • EMC ESX VMWare • HP OpenVMS • Open Source Xen • EMC GSX VMWare • IBM LPar • MS Virtual Server • IBM Micro Partitioning • Licensing Cost Can eat into • Bigger Savings Potential Savings • Application Owners Need to • Less Discipline Demand on be More Disciplined Application Owners
  • 8. Virtualized/Farmed/Silo Cost Analysis • Farmed/Virtualized and Silo Cost Analysis • Left Example Depicts Cost Analysis of Farmed vs. Virtual vs. Silo Approach • Analysis Critical to Decision-Making • Virtualization Approach as a Blanket Approach is not Cost Effective • Farmed and Virtualized Approached Needs to be Strategically Directed
  • 9. XXb Current Examples (Oracle Farms) • Total of 55 Applications • 12 Apps Waiting Placement • ?? Apps from End of Serviceable Life Initiative • Consuming 250 CPUs • Intel Linux and HP-UX • Cost Avoidance > $19m • Silo Solution Cost Estimate • • HP-UX and Intel-Linux Farm Cost ~ $7m • Based on Cost to Procure 110 Servers @ Standard License and HW Costs for 55 Applications (Midrange 4 CPU SUN) • Farms are ~ 50% Filled • ROI Will Double
  • 10. XXb Current Example (SQL Farms) • Total of 122 Applications • 9 Apps Waiting Placement • ?? Apps from EOSL Initiative • Consuming 35 Intel Servers • Covering 4 Data Centers • Cost Avoidance > $2.5m • Silo Solution Cost Estimate • MS Intel SQL Farm Cost ~ $450k • Based on Cost to Procure 244 Servers @ Standard License and HW Costs for 122 Applications ({2} 2 CPU Intel Servers) • Farms are ~ 50% Filled • ROI Will Double
  • 11. XXb Current Example (VMWare Farms) • Total of 68 Applications • 289 Production Instances • 98 Development Instances • ?? Apps from End of Serviceable LIfe Initiative • Consuming 60 Intel Servers • Covering 4 Data Centers • Cost Avoidance > $3.5m • Silo Solution Cost Estimate • VM Farm Cost ~ $1.4m • Based on Cost to Procure 389 Servers @ Standard License and HW Costs for 68 Applications (2 CPU Intel Servers) • Farms are ~ 50% Filled • ROI Will Double
  • 12. XXb Lessons Learned and Next Steps Lessons Learned Next Steps • • Process Reporting • Critical in order to construct cost analysis • Modify current processes to encompass • flexible and dynamic change Cost analysis leads to application of correct technology solution to specific areas management • • Drive operational mgmt to a more Chargeback “hosted” approach due to virtualization • Ease of virtual images will lead to population and farming explosion of virtualized assets • Initiate Chargeback Program • Chargeback Mechanism is critical to control spend • Technology • Change Management • Continue drive to standardize on Solaris • Critical to have feeds and process to evaluate and Linux and App-Dependent OS targets infrastructure and strategic projects • Continue Farming Concepts • Feedback from application owners and • Leverage ILM for SAN Use for Future business executives needed during changes Lower Storage Cost to current infrastructure standards • Work Through Network/Security Issues • Network Security with Virtualization and Farming Initiatives • Address concerns with Network and Security • Execute Thorough Capacity Planning earlier Initiative • Network and Security Standards Do Not Always Facilitate Shared Services (Virtualization and/or Farming Concepts