The document discusses challenges facing today's enterprises including cutting costs, driving value with tight budgets, maintaining security while increasing access, and finding the right transformative capabilities. It then discusses challenges in building applications such as scaling, availability, and costs. The document introduces the Windows Azure platform as a solution, highlighting its fundamentals of scale, automation, high availability, and multi-tenancy. It provides considerations for using cloud computing on or off premises and discusses ownership models.

1. Raj RamabadranPlatform Strategy AdvisorDeveloper & Platform EvangelismRaj.Ramabadran@microsoft.comBlog: http://rajramabadran.wordpress.com

2. Objectives

3. Challenges Facing Today’s Enterprise1Cutting Cost and Lowering CapexInfrastructure uses up valuable IT resources40% CIOs plan to cut IT budgets 2Driving value for the business with tight IT budgetsLeveraging and extending past IT investments to provide future value72% CIOs have cut or plan to cut discretionary IT projects*“Live with what we have”34Maintaining security while increasing access and transparency internally and externallyMany data centers are a limitation59% of surveyed CIOs view security and datacenter efficiency as “must do” projects5Finding the right transformative capabilities across the enterprise: cloud computing, data-center strategies, SaaS, mobility, IT automation ?6Top Projects: SaaS, VoIP, Green IT, Web 2.0 and outsourcingSource: CIO Magazine, October 21, 2008, “Cloud Computing Survey: IT Leaders See Big Promise, Have Big Security Questions”

4. Challenges Building Apps# of users? After 1 month? 6 months? 1 yr?

5. Capacity? Servers? Bandwidth? Storage?

6. How do you scale up or down over time?

7. How can you handle peak loads?

8. How do you provide high availability?

9. What are the upfront capital costs?

10. How quickly can you go live?

11. How do you reduce your operations costsCloud Computing ConsiderationsFundamentalsScaleOutAutomated Service ManagementHigh AvailabilityMulti-TenancyConsiderationsOff PremisesOn PremisesLocationHomogeneousHeterogeneousInfrastructureCapExOpExBusiness modelOwnLease/RentOwnershipSelfThird PartyManagement

12. And in a non-cloud view, there are inefficienciesAllocated IT-capacitiesLoad Forecast“Under-supply“ of capacities“Waste“ of capacitiesFixed cost of IT-capacitiesIT CAPACITYBarrier forinnovationsActualLoadTIME

13. However, in a cloud viewLoad ForecastAllocated IT capacitiesNo “under-supply“IT CAPACITYReduction of “over-supply“Possible reduction of IT-capacities in case of reduced loadReduction of initial investmentsActualLoadTime

14. IT as a ServicePrivate(On-Premise)Infrastructure(as a Service)Platform(as a Service)You manageApplicationsApplicationsApplicationsYou manageRuntimesRuntimesRuntimesSecurity & IntegrationSecurity & IntegrationSecurity & IntegrationManaged by vendorDatabasesDatabasesDatabasesYou manageServersServersServersManaged by vendorVirtualizationVirtualizationVirtualizationServer HWServer HWServer HWStorageStorageStorageNetworkingNetworkingNetworking

15. Introducing the Windows Azure PlatformWEB & CLOUDSThird party cloudWeb applicationsDeveloper ExperienceUse existing skills and toolsComputeStorageManagementManagementRelational dataConnectivityAccess controlON-PREMISESLOB ApplicationsComposite applications

16. Windows Azure PlatformInternet-scale, highly available cloud fabric

17. Globally distributed Microsoft data centers (ISO/IEC 27001:2005 and SAS 70 Type I and Type II certified)

18. Consumption and usage-based pricing; enterprise-class SLA commitment

19. Compute– auto-provisioning 64-bit application containers in Windows Server VMs; supports a wide range of application models

20. Storage – highly available distributed table, blob, queue, & cache storage services

21. Languages – .NET 3.5 (C#, VB.NET, etc.), IronRuby, IronPython, PHP, native Win32 code

22. Data – massively scalable & highly consistent distributed relational database; geo-replication and geo-location of data

23. Processing – relational queries, search, reporting, analytics on structured, semi-structured, and unstructured data

24. Integration – synchronization and replication with on-premise databases, other data sources

25. Service Bus – connectivity to on-premises applications; secure, federated fire-wall friendly Web services messaging intermediary; durable & discoverable queues

26. Access Control– rules-driven federated identity; AD federation; claims-based authorization

27. Workflows – declarative service orchestrations via REST-based activities

28. User – online identity metasystem, directory, personal data storage & management

29. Social – presence, communication, search, geospatial & mapping, media