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Cloud Computing for Enterprise Architects


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Elaborated for the annual council of the enterprise architects of a larger Capgemini customer

Published in: Technology, Business

Cloud Computing for Enterprise Architects

  1. 1. Cloud Computing16 Dec 2011jean-francois.caenen@capgemini.comChief Technology OfficerCapgemini France
  2. 2. Cloud Computing Controversy Simply the most The latest awesome fashion paradigm shift in a fashion- in the last 50 driven industry years of IT Same old stuff New disruptive from lastInternet Technologies generation Enterprise Cloud and Business Cloud repackaged for Models this generation 2
  3. 3. CFOs love Cloud Computing ! No investment before use. Pay for what you need, when you need.Instead of investing in rigidity, you buy flexibility. 3
  4. 4. Businessmanagersknow & loveCloud Computing!ImplementBusiness Applications we needmuch quickerSource:HfS Research and London Schoolof Economics, Oct 2010846 Entreprises 4
  5. 5. A Major Shift in Solution Sourcing From This To This Experimenting with Cloud Cloud-basedSome Open Source Services(in commoditized or wherever embedded stacks) viable Mostly Open Source Commercial Continual Software Software reappraisal (on IaaS or PaaS) on-premise Commercial SW due to lack of on-premise viable alternatives, only where needed or for risk mitigation 5
  6. 6. 100 000 users June 2011 expects $3 Billion Run Rate next Year in 5 years 1Billion $ Revenue per year Start 2006 2011 6
  7. 7. May 2010Wal-Mart PicksSuccessFactors ForLargest Enterprise Deal EverA 300,000-seat trial turns into a2.1M-seat global deal 7
  8. 8. ‘‘ The risk for enterprises that don’t start a Cloud migration is that their IT organization will be a competitive disadvantage. ’’ Geir Ramleth CIO, Bechtel Corp Not Only Cost Reduction But also Business Agility Access to next-generation architectures Enterprise Applications in 2011 8 © 2011 Capgemini. All rights reserved.
  9. 9. By 2015, 50 % or more of NEW enterprise IT spendwill be Cloud-based or Hybrid.By 2015, 65 % or more of NEW enterprise IT workloadswill be Cloud-based or Hybrid.By 2015, 25 % or more of TOTAL enterprise IT workloadswill be Cloud-based or Hybrid.SaaS is driving adoption.PaaS enables custom & composite solutions. 9
  10. 10. Solution Life Cycle Evolution & InnovationSoftware as Bits Requests for Enhancements Develop Test Release Install Qualify Operate Software Debug Version Users Service Usages & Feedbacks Develop Test Operate Internet Service Debug Users 10
  11. 11. Google AppsConstant stream of innovation60+ major feature releases each year 11
  12. 12. The Amazon AWS pace of InnovationSimple Storage Service (S3) 13 Mars 2006Simple Queuing Service (SQS) 11 Juillet 2006Elastic Cloud Computing (EC2) 23 Aout 2006Flexible Payment Services (FPS) 2 Aout 2007Simple DBDevPay 3 major 13 Décembre 2007 16 Décembre 2007Cloudfront InnovationsElastic Block Storage (EBS) 20 Aout 2008 18 Novembre 2008Elastic Map Reduce per yearVirtual Private Cloud 2 Avril 2009 26 Aout 2009Relational Database Services (RDS) 27 Octobre 2009Versionning for S3 8 Février 2010Simple Notification Services (SNS) 14 Avril 2010 12
  13. 13. Evolution of Computing ModelsSLA 99.999 99.9 Always OnScaling Vertical HorizontalHardware Custom Enterprise CommodityHA Model Hardware SoftwareSoftware Centralized Decentralized Distributed Centralized SharedConsumption Service Service Self-service Mainframe Enterprise Cloud Source: Randy DIAS – 13
  14. 14. As a guiding light 14
  15. 15. AWS uses non-Enterprise IT patterns Enterprise SLA Target 99.999%(pretend) 99.95%(realistic) (Uptime) SLA Actual 99.9%(if lucky) 99.9%(or more) Scaling Vertical Horizontal Scale Engineering Hardware Vanity Commodity Hardware Hardware Commodity Operational HA Model Use Hardware & pray Use software HW Excellence & plan for failureSoftware Arch Centralized & brittle Decentralized & isolated fault domainsConsumption Model Call the help desk Self-service & APIs Automation 1 admin per x00 srv 1 admin per x0 000 srv 15
  16. 16. Essential Understanding Scale Engineering 1990’s Big App 2010’s Big Appin the Enterprise on the Internet 100K users? 800M+ users ‘‘ The cloud lets its users focus on delivering differentiating business value. ’’ Werner VOGELS CTO, Amazon 16
  17. 17. A Continuum of Services Cloud Computing SaaS Platform InfrastructureRented Application CRM,ERP… Software Cpu, storage ‘‘Run’’ as used €/user environment €/cpu/hour, €/Gb, €/Gbps Contract based Virtual machine on user features based contract subscribe develop & runThe solution already start & run No ownership is a service but full control Business Operations user App dev Contract based on APIs & tools After the development the solution is a service 17
  18. 18. A Continuum of Services Operations App dev Business users IaaS PaaS SaaSInfrastructure Platform Application as a Service as a Service as a Service low high Productivity high low Control detailed (per hour…) macro (user/mois…) Billing – Pay per use difficult easy Cost Predictability 18
  19. 19. Public vs. private cloud : Access vs. Ownership Provider of Public Public Cloud Cloud PublicAccessPrivateAccess Private Cloud Virtual Private Cloud Private Third-Party Ownership Ownership 19
  20. 20. Public Cloud CAPEX Outsourced Operations OPEX Economy of scale VeryAutomated attractiveOperations prices Cloud Mutualization Computing Immediate Massively Availability elastic Self-service Virtualized resources resources available everywhere 20
  21. 21. Private Cloud CAPEX Outsourced Operations OPEX Economy of Scale VeryAutomated attractiveOperations prices Cloud Mutualization Computing Immediate Massively Availability elastic Self-service Virtualized resources resources available everywhere 21
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  24. 24. Why a Private Cloud?Private Cloud The Security Trusted Public Clouds don’t meet Cloud Data our requirements Localization Confidentiality A step to prepare the use of a Public Cloud Carefully Design Virtualization • Interoperability • Portability Automatisation • Service Provisioning & Monitoring Self-provisioning • Governance / Billing to prepare to an hybrid cloud model 24
  25. 25. Dev@Cloud [& Run@Cloud] 25
  26. 26. Impacts on IT organizations 26
  27. 27. IT Economy Standard Standard for large Standard for the sector Differenciation enterprises in the sector leadersDecisions based on costs • Decisions based on Business Value • Faster (Time to Value)Standard Solutions • Open for the next steps Costs of projects Build / Entry Run A Measurement Culture Business Indicators whenever possible Replacement / Exit 27
  28. 28. IT organizations must changeA Capacity oriented IT org Data Centers X 000 m.d. for projects Process IT Standards Demand Management Build & Run A Business Services Business Services & KPIs Less technology selection & oriented IT org more business support Focus will shift to Business Integrating, monitoring & supporting Internal & external services empowerment. Value through governance, orchestration Encourage Innovation or & innovation Expect to be bypassed ! Short Cycles – Dynamic service provider
  29. 29. Cloud Computing & Innovation Culture of Preliminary Analysis10-15 years ago, Limitation: Our capability to elaborate ROI studiesexperimenting was expensive Afraid of: Errors in ROI studiesExperimenting costs as much as More value for the time spent More value for the euro spent(or sometimes less than) Limitation: Our capability to manage experimentationsthe analysis Afraid of: Have lost an opportunity to experiment Culture of Observation allowing fast learning and adjustments 29
  30. 30. IT role in business leverage of technology Business’s use of Business technology Business self- self- provisioned provisioned Business self- provisioned IT provisioning of IT technology for provisioned business Business self- Business provisioned self- provisioned Business self- provisioned Innovation will x3 from 5% to 15% Vendor mngt will x2 from 10% to 20% Enterprise Arch will x2 from 10% to 20%Source: Risk mngt will increase from 10% to 15%
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  33. 33. Questions Feedback Together. Free your energies