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The migration to clouds
Evolution of platforms


Mainframe
Evolution of platforms


            Client-
Mainframe
            server
Evolution of platforms


            Client-   Bare
Mainframe
            server    metal
Evolution of platforms


            Client-   Bare
Mainframe                     VM
            server    metal
Evolution of platforms


            Client-   Bare          Self-
Mainframe                     VM
            server    metal        service
Evolution of platforms


            Client-   Bare          Self-
Mainframe                     VM             Automation
            server    metal        service
Evolution of platforms


            Client-   Bare          Self-
Mainframe                     VM             Automation   Services
            server    metal        service
Evolution of business models



On prem
Evolution of business models


          Charge
On prem
          backs
Evolution of business models


          Charge
On prem            Colo
          backs
Evolution of business models


          Charge
On prem            Colo   MSP
          backs
Evolution of business models


          Charge
On prem            Colo   MSP   IaaS
          backs
Evolution of business models


          Charge
On prem            Colo   MSP   IaaS   PaaS
          backs
Evolution of business models


          Charge                              Service
On prem            Colo   MSP   IaaS   PaaS
          backs                               centric
Technology model
                   Service-centric
                      Automation
                         Scripting
                                                                ti on
                     Virtualization                        ig ra
                                                    IT m
                       Bare metal
                     Client-server
                       Mainframe




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                                                               Iaa
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                                              eb




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                                                                           Se
                                  On

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                                                                          ce
                                        Ch


                                                         Business relationship
Always on
   premise

     Private
  Compliance-
   enforced
Need to track and
      audit
   Legislative
 Data near local
  computation
Always on         Can be done
   premise           anywhere

     Private
  Compliance-           Testing
   enforced
                        Training
Need to track and
                      Prototyping
      audit
                    Batch processing
   Legislative
                     Seasonal load
 Data near local
  computation
Always on         Can be done          Always in
   premise           anywhere              cloud

     Private
                                        Partner access
  Compliance-           Testing
   enforced                            Proximity to cloud
                        Training       services (storage,
Need to track and
                      Prototyping         CDN, etc.)
      audit
                    Batch processing    Massively grid/
   Legislative
                     Seasonal load     parallel (genomic,
 Data near local                          modelling)
  computation
Always on         Can be done                                Always in
   premise           anywhere                                    cloud

     Private
                                                              Partner access




                                       Load/pricing engine
  Compliance-           Testing
   enforced                                                  Proximity to cloud
                        Training                             services (storage,
Need to track and
                      Prototyping                               CDN, etc.)
      audit
                    Batch processing                          Massively grid/
   Legislative
                     Seasonal load                           parallel (genomic,
 Data near local                                                modelling)
  computation
Always on                         Can be done                                Always in
   premise                           anywhere                                    cloud

     Private
                                                                              Partner access




                                                       Load/pricing engine
  Compliance-                           Testing
   enforced                                                                  Proximity to cloud
                                        Training                             services (storage,
Need to track and
                    Policy engine
                                      Prototyping                               CDN, etc.)
      audit
                                    Batch processing                          Massively grid/
   Legislative
                                     Seasonal load                           parallel (genomic,
 Data near local                                                                modelling)
  computation
Virtual machine
                                                                                    (IaaS)


  Always on                         Can be done                                Always in
   premise                           anywhere                                    cloud

     Private
                                                                              Partner access




                                                       Load/pricing engine
  Compliance-                           Testing
   enforced                                                                  Proximity to cloud
                                        Training                             services (storage,
Need to track and
                    Policy engine
                                      Prototyping                               CDN, etc.)
      audit
                                    Batch processing                          Massively grid/
   Legislative
                                     Seasonal load                           parallel (genomic,
 Data near local                                                                modelling)
  computation
Compute task
                                                                                   (PaaS)




  Always on                         Can be done                                Always in
   premise                           anywhere                                    cloud

     Private
                                                                              Partner access




                                                       Load/pricing engine
  Compliance-                           Testing
   enforced                                                                  Proximity to cloud
                                        Training                             services (storage,
Need to track and
                    Policy engine
                                      Prototyping                               CDN, etc.)
      audit
                                    Batch processing                          Massively grid/
   Legislative
                                     Seasonal load                           parallel (genomic,
 Data near local                                                                modelling)
  computation
Opportunistic
 housekeeping


Virtualize what IT
   owns, what’s
glaringly inefficient
Opportunistic         Tactical, cost-
 housekeeping             focused


Virtualize what IT     Line of Business
   owns, what’s          applications,
glaringly inefficient      automation
Opportunistic         Tactical, cost-       Strategic,
 housekeeping             focused         revenue focused


Virtualize what IT     Line of Business        Business &
   owns, what’s          applications,           budget
glaringly inefficient      automation      reorganization, new
                                            projects & plans,
                                                  agility
Opportunistic         Tactical, cost-       Strategic,
 housekeeping             focused         revenue focused


Virtualize what IT     Line of Business        Business &
   owns, what’s          applications,           budget
glaringly inefficient      automation      reorganization, new
                                            projects & plans,
                                                  agility




    Puberty
Opportunistic         Tactical, cost-       Strategic,
 housekeeping             focused         revenue focused


Virtualize what IT     Line of Business        Business &
   owns, what’s          applications,           budget
glaringly inefficient      automation      reorganization, new
                                            projects & plans,
                                                  agility




                        Eager, naive
    Puberty
                       teenage years
Opportunistic         Tactical, cost-       Strategic,
 housekeeping             focused         revenue focused


Virtualize what IT     Line of Business        Business &
   owns, what’s          applications,           budget
glaringly inefficient      automation      reorganization, new
                                            projects & plans,
                                                  agility



                                              Planned,
                        Eager, naive
    Puberty                                  deliberate
                       teenage years
                                             adulthood
http://www.flickr.com/photos/sophistechate/2670128399/
Your panel

 Simon Crosby, CTO, Datacenter and Cloud Division, Citrix Systems,
 Inc.
 Randy Rowland, General Manager Managed Hosting & Cloud
 Computing Services, Terremark Worlwide Inc.
 Vittorio Viarengo, Vice President of Program Management, VMware
Some questions
What are the triggers that force IT to
make applications portable?
What are the obstacles cloud
advocates need to overcome?
Platform economics: What should
be free? What should cost money?
What is the role of developers in
operations? How is cloud changing that?
What tools will be part of the
hypervisor ecosystem?
On-prem or on-demand:
Will the cost of power in NYC force
everyone into data centers?
Will open source matter in a utility
world?
What cultural changes need to happen
to actually take advantage of clouds?
Do clouds play a role in remote
desktops?
The false sense of security of
the expense report & sprawl:
How does IT address it?

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Interop Cloud Keynote with Terremark, VMWare, and Citrix

  • 3. Evolution of platforms Client- Mainframe server
  • 4. Evolution of platforms Client- Bare Mainframe server metal
  • 5. Evolution of platforms Client- Bare Mainframe VM server metal
  • 6. Evolution of platforms Client- Bare Self- Mainframe VM server metal service
  • 7. Evolution of platforms Client- Bare Self- Mainframe VM Automation server metal service
  • 8. Evolution of platforms Client- Bare Self- Mainframe VM Automation Services server metal service
  • 9. Evolution of business models On prem
  • 10. Evolution of business models Charge On prem backs
  • 11. Evolution of business models Charge On prem Colo backs
  • 12. Evolution of business models Charge On prem Colo MSP backs
  • 13. Evolution of business models Charge On prem Colo MSP IaaS backs
  • 14. Evolution of business models Charge On prem Colo MSP IaaS PaaS backs
  • 15. Evolution of business models Charge Service On prem Colo MSP IaaS PaaS backs centric
  • 16. Technology model Service-centric Automation Scripting ti on Virtualization ig ra IT m Bare metal Client-server Mainframe S aS lo P em k e- Iaa MS ac Co rvic Pa ic -pr eb ntr Se On arg ce Ch Business relationship
  • 17.
  • 18. Always on premise Private Compliance- enforced Need to track and audit Legislative Data near local computation
  • 19. Always on Can be done premise anywhere Private Compliance- Testing enforced Training Need to track and Prototyping audit Batch processing Legislative Seasonal load Data near local computation
  • 20. Always on Can be done Always in premise anywhere cloud Private Partner access Compliance- Testing enforced Proximity to cloud Training services (storage, Need to track and Prototyping CDN, etc.) audit Batch processing Massively grid/ Legislative Seasonal load parallel (genomic, Data near local modelling) computation
  • 21. Always on Can be done Always in premise anywhere cloud Private Partner access Load/pricing engine Compliance- Testing enforced Proximity to cloud Training services (storage, Need to track and Prototyping CDN, etc.) audit Batch processing Massively grid/ Legislative Seasonal load parallel (genomic, Data near local modelling) computation
  • 22. Always on Can be done Always in premise anywhere cloud Private Partner access Load/pricing engine Compliance- Testing enforced Proximity to cloud Training services (storage, Need to track and Policy engine Prototyping CDN, etc.) audit Batch processing Massively grid/ Legislative Seasonal load parallel (genomic, Data near local modelling) computation
  • 23. Virtual machine (IaaS) Always on Can be done Always in premise anywhere cloud Private Partner access Load/pricing engine Compliance- Testing enforced Proximity to cloud Training services (storage, Need to track and Policy engine Prototyping CDN, etc.) audit Batch processing Massively grid/ Legislative Seasonal load parallel (genomic, Data near local modelling) computation
  • 24. Compute task (PaaS) Always on Can be done Always in premise anywhere cloud Private Partner access Load/pricing engine Compliance- Testing enforced Proximity to cloud Training services (storage, Need to track and Policy engine Prototyping CDN, etc.) audit Batch processing Massively grid/ Legislative Seasonal load parallel (genomic, Data near local modelling) computation
  • 25.
  • 26. Opportunistic housekeeping Virtualize what IT owns, what’s glaringly inefficient
  • 27. Opportunistic Tactical, cost- housekeeping focused Virtualize what IT Line of Business owns, what’s applications, glaringly inefficient automation
  • 28. Opportunistic Tactical, cost- Strategic, housekeeping focused revenue focused Virtualize what IT Line of Business Business & owns, what’s applications, budget glaringly inefficient automation reorganization, new projects & plans, agility
  • 29. Opportunistic Tactical, cost- Strategic, housekeeping focused revenue focused Virtualize what IT Line of Business Business & owns, what’s applications, budget glaringly inefficient automation reorganization, new projects & plans, agility Puberty
  • 30. Opportunistic Tactical, cost- Strategic, housekeeping focused revenue focused Virtualize what IT Line of Business Business & owns, what’s applications, budget glaringly inefficient automation reorganization, new projects & plans, agility Eager, naive Puberty teenage years
  • 31. Opportunistic Tactical, cost- Strategic, housekeeping focused revenue focused Virtualize what IT Line of Business Business & owns, what’s applications, budget glaringly inefficient automation reorganization, new projects & plans, agility Planned, Eager, naive Puberty deliberate teenage years adulthood
  • 33. Your panel Simon Crosby, CTO, Datacenter and Cloud Division, Citrix Systems, Inc. Randy Rowland, General Manager Managed Hosting & Cloud Computing Services, Terremark Worlwide Inc. Vittorio Viarengo, Vice President of Program Management, VMware
  • 35. What are the triggers that force IT to make applications portable?
  • 36. What are the obstacles cloud advocates need to overcome?
  • 37. Platform economics: What should be free? What should cost money?
  • 38. What is the role of developers in operations? How is cloud changing that?
  • 39. What tools will be part of the hypervisor ecosystem?
  • 40. On-prem or on-demand: Will the cost of power in NYC force everyone into data centers?
  • 41. Will open source matter in a utility world?
  • 42. What cultural changes need to happen to actually take advantage of clouds?
  • 43. Do clouds play a role in remote desktops?
  • 44. The false sense of security of the expense report & sprawl: How does IT address it?

Editor's Notes

  1. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  2. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  3. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  4. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  5. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  6. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  7. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  8. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  9. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  10. Going forward, we’ll see hybrid on-premise/on demand hybrid clouds that can intelligently move processing tasks between private an public infrastructure according to performance requirements, pricing policies, and security restrictions.
  11. But by now the genie is out of the bottle, never to return. Let’s see how IT is changing in a cloud-based world.
  12. Simon Crosby was founder and CTO of XenSource prior to the acquisition of XenSource by Citrix Systems. Prior to XenSource, Simon was a principal engineer at Intel where he led strategic research in distributed autonomic computing, platform security and trust. Previously, he was the founder of CPlane Inc., a network optimization software vendor, where he held a variety of executive roles. Before joining the private sector, Simon was a tenured faculty member at the University of Cambridge, UK, where he led research on network performance and control, and multimedia operating systems. Randy Rowland is responsible for the managed hosting business unit for Terremark. As part of his role, Mr. Rowland oversees the operation of Terremark's InfinistructureTM and The Enterprise Cloud utility computing product offerings. Mr. Rowland has more than 14 years of experience in the IT services industry, including eight years with Data Return, where he was most recently responsible for product development. Vittorio is Vice President of Program Management at VMware. Vittorio is responsible for aligning VMware’s go-to-market strategies and product initiatives with customer priorities. Prior to Joining VMware, Vittorio was VP of Product Development at Oracle Fusion Middleware and ran the Mobility, Voice and Communications Platform team. Before joining Oracle, Vittorio was Vice President of Platform Product Management and Strategy for BEA Systems. He was responsible for driving the product strategy, roadmap and priorities for BEA’s Application Platform Suite which includes application and data integration, portal, application server and WebLogic WorkShop, BEA’s integrated development environment.