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Webinar: Introduction to Enterprise
Cloud Economics

Event hashtag: #cloudecon

Scott Bils                  Dale Stara
Partner                     Engagement Director
Next Generation IT          Next Generation IT
Everest Group               Everest Group
scott.bils@everestgrp.com   dale.stara@everestgrp.com

   : @everest_cloud

May 24, 2011
Today’s Agenda


          What Are The Keys to Enterprise
          Cloud Economics?


          Are Enterprise Cloud Economics
          Truly Disruptive?


         How Can Enterprises Capture the
         Opportunity?

                                                                         2
              Proprietary & Confidential. Š 2011, Everest Global, Inc.
Today’s Focus – IAAS / PAAS
                                                Description                        Common Services

                                        • End-to-end business                      •   Payroll
             Business                                                              •   Order-to-cash
            Process as a                  process delivered as a
                                          service                                  •   Procure-to-pay
              Service                                                              •   Hire-to-retire
               (BPaaS)

                                        • Multi-tenant applications                •   CRM
            Software as                   and business services                    •   HCM
             a Service                                                             •   Email
               (SaaS)                                                              •   Collaboration
 Cloud                                                                             •   F&A
Services
                                       • Multi-tenant application                  • Dev Only
           Platform as a                 development and                           • Dev + Runtime
              Service                    hosting environments
              (PaaS)

                                       • Shared data center,                       • Compute
           Infrastructure-               infrastructure hardware                     (Server / OS)
            as-a-Service                 and software resources                    • Storage
                (IaaS)                                                             • Database
                                                                                   • Networking
                                                                                   • Content Delivery
                                                                                                        3
                        Proprietary & Confidential. Š 2011, Everest Global, Inc.
The Cloud Enables New Delivery Models

“Traditional” Model    Private – On Prem                      Private – Off Prem           Public Cloud

• Customer Data       • Customer Data                       • Third-party Data          • Third-party Data
 Center                Center                                 Center                      Center
• Customer-owned      • Customer-owned                      • Dedicated Assets          • Vendor Assets
 Assets                Assets
                                                            • Customer or Vendor-       • Multi-tenant
• Dedicated HW        • Virtualized HW                        owned
                                                            • Virtualized HW




                                     “Hybrid” Cloud

                                                                                                          4
                             Proprietary & Confidential. Š 2011, Everest Global, Inc.
Enterprise Data Center Economics Driven by
High Fixed Costs
DATA CENTER OPERATING COST BREAKDOWN*

                                                                                                          2%
                 70-80% of costs
                                                                                              8%
                for the typical data                                                                              25%
                                                                                                                            Variable
                center are fixed !!!                                                                                        Costs
                                                                             14%

                                                              7%
                                            15%

                            23%
                                                                                                                  75%       Fixed
                                                                                                                            Costs

           31%



          Labor         Hardware           Facility Hardware                Power Licenses Network               Total DC
                                            Costs    Maint                   and            Costs                 Costs
                                                                            Cooling


* Everest analysis assuming 3,000 server data center, 200:1 server-to-admin ratio 3 year depreciation schedule
                                                                                                                                5
                                              Proprietary & Confidential. Š 2011, Everest Global, Inc.
High Fixed Costs Make Data Center Utilization
Critical

 IMPACT OF UTILIZATION
                                            Illustrative
 ON COMPUTE COSTS                                                         • Data centers highly
                                                                            ‘leveraged’
                                                                          • Improvements in
 Cost / Compute Hour




                                                                            utilization drive
                                                                            disproportionate
                                                                            improvements in cost
                                                                          • Same reason why
                                                                            enterprises ensure
                                                                            mainframe utilization
                       Server Utilization
                                                                            > 90%


                                                                                                    6
                                       Proprietary & Confidential. Š 2011, Everest Global, Inc.
Cloud Offers Potential to Drive Utilization
Improvements Within and Across Enterprises
Dedicated     Virtualized / Private Cloud                     Public Cloud

                                                               Customer #1              Customer #2
   App          App       App             App                   App           App        App          App   App




 Operating
  System

                  VM          VM             VM

                       Hypervisor                                                   Hypervisor




 Enterprise            Enterprise                                                    Cloud Service
  Server                Server                                                      Provider Server



                                                                                                             7
                        Proprietary & Confidential. Š 2011, Everest Global, Inc.
The Critical Question for Cloud and
Enterprise Economics….

 If utilization is the key driver                                     Where can Cloud
  of enterprise economics…                                          improve utilization???




                                                                                             8
                       Proprietary & Confidential. Š 2011, Everest Global, Inc.
Today’s Agenda


          What Are The Keys to Enterprise
          Cloud Economics?


          Are Enterprise Cloud Economics
          Truly Disruptive?


         How Can Enterprises Capture the
         Opportunity?

                                                                         9
              Proprietary & Confidential. Š 2011, Everest Global, Inc.
Virtualization Has Driven a Disruptive Wave of
Enterprise Transformation
 Average Enterprise Workload Cost*
 $ / GHz hrs


                                                                                        • Disruptive economics
                100%                                                                      for enterprise
                                       35% reduction                                    • Limited difference
                                                                                          between virtualized,
                                                                                          private cloud
                                                  65%                                   • 2-3x improvement in
                                                                                          typical server utilization
                                                                                          rates
                                                                                        • But….utilization rates
                                           Virtualized/
            Dedicated
                                          Private Cloud
                                                                                          still only ~ 15% !!!!

* Based on average workload mix and profile. Assumes 8:1 virtualization ratio.

                                                                                                                  10
                                                 Proprietary & Confidential. Š 2011, Everest Global, Inc.
Let’s Take a Closer Look at Private Cloud
Utilization


                                                                                   Need to
Server Utilization
                                                                                ‘Size to Peak’
      ~15%




                                                                             Inability to
                                                                        ‘Diversify’ Variability
                                                                                • Workload correlations
                                                                                • Geography and latency
                                                                                • Application platforms



                                                                                                    11
                     Proprietary & Confidential. Š 2011, Everest Global, Inc.
Based on Unit Costs, Public Clouds Initially
Appear to be a ‘Yawner’ for Enterprises
  Average Enterprise Workload Cost
  $ / GHz hrs



           100%



                                                                 60-70%*


                                      65%                                                              • Workload unit costs in
                                                                                                         ‘breakeven’ zone (+/-10%)
                                                                                                       • Complex vendor pricing
                                                                                                         models limit transparency
                                                                                                       • Cloud service providers
                                                                                                         living under pricing
       Dedicated               Virtualized/                 Public Cloud                                 ‘umbrella’?
                                 Private
                                  Cloud

* Varies depending on public cloud vendor and offerings. Evaluated vendors included Amazon AWS, MS Azure, Rackspace
                                                                                                                              12
                                            Proprietary & Confidential. Š 2011, Everest Global, Inc.
What If We Leverage Public Cloud Flexibility?
                                                                                        3
                                                                                            Eliminate
                                                                                             Excess
                                                                                            Capacity!
 Private Cloud
Server Utilization
                                                                                2
                                                                                    Move ‘Peak’
                                                                                     Load to
                                                                                      Public



                                                                   1
                                                                       Keep ‘Base’
                                                                         Load in
                                                                         Private

                                                                                                   13
                     Proprietary & Confidential. Š 2011, Everest Global, Inc.
Public Cloud Options Unlock Extraordinary
Enterprise Economics
 Average Enterprise Workload Cost*
 $ / GHz hrs
                                                                                   • 45% potential efficiency gain
                                                                                   • Hybrid economics more
          100%                                                                       disruptive than virtualization!



                                                                       60-70%**


                                          65%
                                                                                                                                     Peak Load -
                                                                                                                                     Public Cloud

                                                                                                                25%                  Base Load -
                                                                                                                                     Private Cloud


        Dedicated                  Virtualized/                                                          Hybrid Cloud
                                                                    Public Cloud
                                  Private Cloud

* Based on average workload mix and profile. 15% of total peak workload hours shifted to public cloud ,on demand model. Does not include application
migration costs.
.                                                                                                                                                      14
                                                Proprietary & Confidential. Š 2011, Everest Global, Inc.
… and Economics Will Improve Further Over
PR
 Time

         Amazon Driving Pricing Down….

                                                                                           Future Market Dynamics
                                                                                            Will Be More Attractive
                                                                                              • Public cloud capacity
                                                                                                rapidly expanding
                                                                                              • Existing cloud service
                                                                                                providers highly
                                                                                                profitable
                                                                                              • IAAS / PAAS pricing
                                                                                                likely to improve !!!




Source:Cloudscaling, AWS, Everest Analysis
15   Confidential                                                                                                       15
                                       Proprietary & Confidential. Š 2011, Everest Global, Inc.
Today’s Agenda


          What Are The Keys to Enterprise
          Cloud Economics?


          What Elements of the Cloud are
          Truly Enterprise Disruptive?


         When Should Enterprises Start the
         Journey?

                                                                         16
              Proprietary & Confidential. Š 2011, Everest Global, Inc.
Unique Customer Requirements and Challenges
Exist around Enterprise Hybrid Models
         Hybrid Migration Challenges                                             Customer Needs / Requirements

      Enterprise-Class ‘Peak’ Environments                                Cloud services that fully address
                                                                          enterprise-class requirements
                                                                              – Network and network security
                                                                              – Security
                                                                              – Performance SLAs
                                                                              – Business Continuity
                                                                              – Compliance


    Workload Migration and Management
                                                                          Viable bursting options that maximize
                                                                          efficiency and minimize latency
                                                                              – Scale-up (adding capacity to a single VM)
                                                                              – Scale-out (adding VMs)



           Internal Skills and Expertise
                                                                          Organizational domain experience and
                                                                          expertise
                                                                              – Service providers, offerings and technologies
                                                                              – Cloud solution architecture
                                                                              – Service configuration, deployment and support

 Confidential
                                                                                                                            17
                                      Proprietary & Confidential. Š 2011, Everest Global, Inc.
Enterprises Don’t Need to Wait for
 ‘The Silver Bullet’

                           Continuum of Base / Peak Capabilities
                           Near-Term                                            Future Target

      Virtualized                              6-11am
     Applications


                                       Workload balancing automation

                      Manual           Scheduled                     Tool-enabled Dynamic
                     allocation         bursting                       bursting   bursting

                                      Re-platforming complexity & cost




18    Confidential                                                                              18
                           Proprietary & Confidential. Š 2011, Everest Global, Inc.
Factors Driving the Hybrid Opportunity


                        Workload Characteristics                        Overall workload fit
                                                                             - Frequency
                                                                             - Height

                                                                             - Duration




                               Cost to Migrate                          Application and platform
                Peak                                                     migration costs
                                                                         - App virtualization
               Base                                                      - App cloud re-platforming costs

                                                                         - Infrastructure sw / svc costs

         Hybrid Cloud
         Efficiencies
                         Willingness to Migrate                         Potential enterprise
                                                                         migration constraints
                                                                          - Security
                                                                          - Compliance

                                                                          - Latency / performance




19   Confidential                                                                                           19
                          Proprietary & Confidential. Š 2011, Everest Global, Inc.
Assessing Potential Impact of Enterprise
 Cloud – Approach
     1 Create Workload           2 Assess Cloud                        3 Prioritize Workload Migration
        Inventory                  Viability                                Opportunities

     Analytics                                                             Workload Migration Matrix
     - Data mining               Technical Criteria
                                 - Workload variability                 Public
     - Data warehouse
     Business Apps               - Compute intensity
     - CRM                       - Memory intensity
     - Marketing                 - Bandwidth intensity
                                                                        Hybrid
     - ERP
     - SCM
     - HCM

     Collaboration                                                      Private

     - Web conferencing                                                                          Attractiveness
     - Unified comms              Business Criteria
     - VOIP                       - Data sensitivity
     Infrastructure               - Business criticality                 • Prioritize workload opportunities
     - App streaming              - Auditabilty
     - Business continuity /DR    - Mobility / Access                    • Conduct ‘deep dive’ assessments on
     - Data archival                                                        high potential workloads
     - Data backup
                                                                         • Develop overall migration and
                                                                            transformation roadmap


20   Confidential                                                                                                 20
                                      Proprietary & Confidential. Š 2011, Everest Global, Inc.
Hybrid Economics Example - eBay
        Situation
                                                                                    Utilization Profile – Top 8 Workloads
                                                                                                        Fixed Cost


     • Global marketplace footprint (NA,




                                                                 Request for Data
       Europe, Asia)
     • Highly ‘spiky’ compute utilization
     • Top 8 workloads supported by 1,900
       servers
     • ~80% of data center costs fixed                                                                  Current Traffic
                                                                                     text   text   text text    text text   text   text
     • $80mm annual data center spend                                                                    Timeline




       Hybrid Model Impact
     • Time-shifted workloads, consolidated servers, starting to burst to public cloud
     • Identified opportunities to reduce overall compute costs by 40% via hybrid models
     • Peak bursting would be more cost effective even if public cloud unit costs were 4x
       higher than internal unit costs!

 Source: Neil Sample, VP of Architecture, eBay
     Confidential
21                                                                                                                                        21
                                       Proprietary & Confidential. Š 2011, Everest Global, Inc.
In Summary…


                    Utilization - The Key to Enterprise
                    Cloud Economics


                    Hybrid – The Disruptive Driver of
                    Enterprise Cloud Migration


                    How Can Enterprises Capture the
                    Opportunity– Get Started Now!!!

22   Confidential                                                                  22
                        Proprietary & Confidential. Š 2011, Everest Global, Inc.
Q&A
   Click the question mark (Q&A) button located on the floating tool bar in
    the bottom right of your screen – this will open the Q&A Panel

   Be sure to keep the default set to “send to All Panelist”

   Then, type your question in the rectangular field at the bottom of the
    Q&A box and click the send button to submit

                                  Related Content
• Drop us an email at cloud@everestgrp.com to join our mailing list:
       − Upcoming Next Generation IT webinars and events
       − Consulting Practice updates
       − ERI Cloud Research announcements
• Follow Everest’s Next Generation IT Practice
           : @everest_cloud
           : Gaining Altitude at (www.everestgrp.com)

                                                                                     23
                          Proprietary & Confidential. Š 2011, Everest Global, Inc.
For More Information

   Attendees will receive an email with a link to download today’s
    webinar presentation. A recording of the webinar will be
    available within 24 hours on our website at
    www.everestgrp.com/category/webinars

   For more information on cloud infrastructure economics, please
    contact :
     Scott Bils, scott.bils@everestgrp.com
     Dale Stara, dale.stara@everestgrp.com
     Cloud Team, cloud@everestgrp.com


   For background information on Everest Group, please visit:
       www.everestgrp.com
       www.everestresearchinstitute.com

   Thank you for attending today’s presentation

                                                                                         24
                              Proprietary & Confidential. Š 2011, Everest Global, Inc.
Everest Group Leads Clients from Insight to Action

Contact us for more information about our consulting, research, and industry resources.

            Dallas (Corporate Headquarters)                                         Canada
            info@everestgrp.com                                                     canada@everestgrp.com
            info@everestresearchinstitute.com                                       +1-416-865-2033
            +1-214-451-3000
            +1-214-451-3110




New York                                                                                                    India/Middle East
info@everestgrp.com                                                                                         india@everestgrp.com
+1-646-805-4000                                                                                             +91-124-496-1000
                                                                                                            +91-124-496-1100




            UK                                                                      Netherlands & Continental Europe
            unitedkingdom@everestgrp.com                                            benelux@everestgrp.com
            +44-870-770-0270                                                        +31-20-301-2138




www.everestgrp.com | www.everestresearchinstitute.com | www.sherpasinblueshirts.com
                                                                                                                            25
                                       Proprietary & Confidential. Š 2011, Everest Global, Inc.

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Introduction to Enterprise Cloud Economics

  • 1. Webinar: Introduction to Enterprise Cloud Economics Event hashtag: #cloudecon Scott Bils Dale Stara Partner Engagement Director Next Generation IT Next Generation IT Everest Group Everest Group scott.bils@everestgrp.com dale.stara@everestgrp.com : @everest_cloud May 24, 2011
  • 2. Today’s Agenda What Are The Keys to Enterprise Cloud Economics? Are Enterprise Cloud Economics Truly Disruptive? How Can Enterprises Capture the Opportunity? 2 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 3. Today’s Focus – IAAS / PAAS Description Common Services • End-to-end business • Payroll Business • Order-to-cash Process as a process delivered as a service • Procure-to-pay Service • Hire-to-retire (BPaaS) • Multi-tenant applications • CRM Software as and business services • HCM a Service • Email (SaaS) • Collaboration Cloud • F&A Services • Multi-tenant application • Dev Only Platform as a development and • Dev + Runtime Service hosting environments (PaaS) • Shared data center, • Compute Infrastructure- infrastructure hardware (Server / OS) as-a-Service and software resources • Storage (IaaS) • Database • Networking • Content Delivery 3 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 4. The Cloud Enables New Delivery Models “Traditional” Model Private – On Prem Private – Off Prem Public Cloud • Customer Data • Customer Data • Third-party Data • Third-party Data Center Center Center Center • Customer-owned • Customer-owned • Dedicated Assets • Vendor Assets Assets Assets • Customer or Vendor- • Multi-tenant • Dedicated HW • Virtualized HW owned • Virtualized HW “Hybrid” Cloud 4 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 5. Enterprise Data Center Economics Driven by High Fixed Costs DATA CENTER OPERATING COST BREAKDOWN* 2% 70-80% of costs 8% for the typical data 25% Variable center are fixed !!! Costs 14% 7% 15% 23% 75% Fixed Costs 31% Labor Hardware Facility Hardware Power Licenses Network Total DC Costs Maint and Costs Costs Cooling * Everest analysis assuming 3,000 server data center, 200:1 server-to-admin ratio 3 year depreciation schedule 5 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 6. High Fixed Costs Make Data Center Utilization Critical IMPACT OF UTILIZATION Illustrative ON COMPUTE COSTS • Data centers highly ‘leveraged’ • Improvements in Cost / Compute Hour utilization drive disproportionate improvements in cost • Same reason why enterprises ensure mainframe utilization Server Utilization > 90% 6 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 7. Cloud Offers Potential to Drive Utilization Improvements Within and Across Enterprises Dedicated Virtualized / Private Cloud Public Cloud Customer #1 Customer #2 App App App App App App App App App Operating System VM VM VM Hypervisor Hypervisor Enterprise Enterprise Cloud Service Server Server Provider Server 7 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 8. The Critical Question for Cloud and Enterprise Economics…. If utilization is the key driver Where can Cloud of enterprise economics… improve utilization??? 8 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 9. Today’s Agenda What Are The Keys to Enterprise Cloud Economics? Are Enterprise Cloud Economics Truly Disruptive? How Can Enterprises Capture the Opportunity? 9 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 10. Virtualization Has Driven a Disruptive Wave of Enterprise Transformation Average Enterprise Workload Cost* $ / GHz hrs • Disruptive economics 100% for enterprise 35% reduction • Limited difference between virtualized, private cloud 65% • 2-3x improvement in typical server utilization rates • But….utilization rates Virtualized/ Dedicated Private Cloud still only ~ 15% !!!! * Based on average workload mix and profile. Assumes 8:1 virtualization ratio. 10 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 11. Let’s Take a Closer Look at Private Cloud Utilization Need to Server Utilization ‘Size to Peak’ ~15% Inability to ‘Diversify’ Variability • Workload correlations • Geography and latency • Application platforms 11 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 12. Based on Unit Costs, Public Clouds Initially Appear to be a ‘Yawner’ for Enterprises Average Enterprise Workload Cost $ / GHz hrs 100% 60-70%* 65% • Workload unit costs in ‘breakeven’ zone (+/-10%) • Complex vendor pricing models limit transparency • Cloud service providers living under pricing Dedicated Virtualized/ Public Cloud ‘umbrella’? Private Cloud * Varies depending on public cloud vendor and offerings. Evaluated vendors included Amazon AWS, MS Azure, Rackspace 12 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 13. What If We Leverage Public Cloud Flexibility? 3 Eliminate Excess Capacity! Private Cloud Server Utilization 2 Move ‘Peak’ Load to Public 1 Keep ‘Base’ Load in Private 13 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 14. Public Cloud Options Unlock Extraordinary Enterprise Economics Average Enterprise Workload Cost* $ / GHz hrs • 45% potential efficiency gain • Hybrid economics more 100% disruptive than virtualization! 60-70%** 65% Peak Load - Public Cloud 25% Base Load - Private Cloud Dedicated Virtualized/ Hybrid Cloud Public Cloud Private Cloud * Based on average workload mix and profile. 15% of total peak workload hours shifted to public cloud ,on demand model. Does not include application migration costs. . 14 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 15. … and Economics Will Improve Further Over PR Time Amazon Driving Pricing Down…. Future Market Dynamics Will Be More Attractive • Public cloud capacity rapidly expanding • Existing cloud service providers highly profitable • IAAS / PAAS pricing likely to improve !!! Source:Cloudscaling, AWS, Everest Analysis 15 Confidential 15 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 16. Today’s Agenda What Are The Keys to Enterprise Cloud Economics? What Elements of the Cloud are Truly Enterprise Disruptive? When Should Enterprises Start the Journey? 16 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 17. Unique Customer Requirements and Challenges Exist around Enterprise Hybrid Models Hybrid Migration Challenges Customer Needs / Requirements Enterprise-Class ‘Peak’ Environments Cloud services that fully address enterprise-class requirements – Network and network security – Security – Performance SLAs – Business Continuity – Compliance Workload Migration and Management Viable bursting options that maximize efficiency and minimize latency – Scale-up (adding capacity to a single VM) – Scale-out (adding VMs) Internal Skills and Expertise Organizational domain experience and expertise – Service providers, offerings and technologies – Cloud solution architecture – Service configuration, deployment and support Confidential 17 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 18. Enterprises Don’t Need to Wait for ‘The Silver Bullet’ Continuum of Base / Peak Capabilities Near-Term Future Target Virtualized 6-11am Applications Workload balancing automation Manual Scheduled Tool-enabled Dynamic allocation bursting bursting bursting Re-platforming complexity & cost 18 Confidential 18 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 19. Factors Driving the Hybrid Opportunity Workload Characteristics  Overall workload fit - Frequency - Height - Duration Cost to Migrate  Application and platform Peak migration costs - App virtualization Base - App cloud re-platforming costs - Infrastructure sw / svc costs Hybrid Cloud Efficiencies Willingness to Migrate  Potential enterprise migration constraints - Security - Compliance - Latency / performance 19 Confidential 19 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 20. Assessing Potential Impact of Enterprise Cloud – Approach 1 Create Workload 2 Assess Cloud 3 Prioritize Workload Migration Inventory Viability Opportunities Analytics Workload Migration Matrix - Data mining Technical Criteria - Workload variability Public - Data warehouse Business Apps - Compute intensity - CRM - Memory intensity - Marketing - Bandwidth intensity Hybrid - ERP - SCM - HCM Collaboration Private - Web conferencing Attractiveness - Unified comms Business Criteria - VOIP - Data sensitivity Infrastructure - Business criticality • Prioritize workload opportunities - App streaming - Auditabilty - Business continuity /DR - Mobility / Access • Conduct ‘deep dive’ assessments on - Data archival high potential workloads - Data backup • Develop overall migration and transformation roadmap 20 Confidential 20 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 21. Hybrid Economics Example - eBay Situation Utilization Profile – Top 8 Workloads Fixed Cost • Global marketplace footprint (NA, Request for Data Europe, Asia) • Highly ‘spiky’ compute utilization • Top 8 workloads supported by 1,900 servers • ~80% of data center costs fixed Current Traffic text text text text text text text text • $80mm annual data center spend Timeline Hybrid Model Impact • Time-shifted workloads, consolidated servers, starting to burst to public cloud • Identified opportunities to reduce overall compute costs by 40% via hybrid models • Peak bursting would be more cost effective even if public cloud unit costs were 4x higher than internal unit costs! Source: Neil Sample, VP of Architecture, eBay Confidential 21 21 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 22. In Summary… Utilization - The Key to Enterprise Cloud Economics Hybrid – The Disruptive Driver of Enterprise Cloud Migration How Can Enterprises Capture the Opportunity– Get Started Now!!! 22 Confidential 22 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 23. Q&A  Click the question mark (Q&A) button located on the floating tool bar in the bottom right of your screen – this will open the Q&A Panel  Be sure to keep the default set to “send to All Panelist”  Then, type your question in the rectangular field at the bottom of the Q&A box and click the send button to submit Related Content • Drop us an email at cloud@everestgrp.com to join our mailing list: − Upcoming Next Generation IT webinars and events − Consulting Practice updates − ERI Cloud Research announcements • Follow Everest’s Next Generation IT Practice : @everest_cloud : Gaining Altitude at (www.everestgrp.com) 23 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 24. For More Information  Attendees will receive an email with a link to download today’s webinar presentation. A recording of the webinar will be available within 24 hours on our website at www.everestgrp.com/category/webinars  For more information on cloud infrastructure economics, please contact :  Scott Bils, scott.bils@everestgrp.com  Dale Stara, dale.stara@everestgrp.com  Cloud Team, cloud@everestgrp.com  For background information on Everest Group, please visit:  www.everestgrp.com  www.everestresearchinstitute.com  Thank you for attending today’s presentation 24 Proprietary & Confidential. Š 2011, Everest Global, Inc.
  • 25. Everest Group Leads Clients from Insight to Action Contact us for more information about our consulting, research, and industry resources. Dallas (Corporate Headquarters) Canada info@everestgrp.com canada@everestgrp.com info@everestresearchinstitute.com +1-416-865-2033 +1-214-451-3000 +1-214-451-3110 New York India/Middle East info@everestgrp.com india@everestgrp.com +1-646-805-4000 +91-124-496-1000 +91-124-496-1100 UK Netherlands & Continental Europe unitedkingdom@everestgrp.com benelux@everestgrp.com +44-870-770-0270 +31-20-301-2138 www.everestgrp.com | www.everestresearchinstitute.com | www.sherpasinblueshirts.com 25 Proprietary & Confidential. Š 2011, Everest Global, Inc.