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Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
Microsoft Cloud Computing
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Microsoft Cloud Computing

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Windows Azure Platform overview; Microsoft's cloud computing platform

Windows Azure Platform overview; Microsoft's cloud computing platform

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  • Abstract:
    From here - Learn how to use Windows Workflow Foundation (WF) 4, Windows Communication Foundation (WCF) 4, and “Dublin” to build and manage scalable, reliable, and highly-available applications. Discover the power of WF to build and coordinate WCF services and implement logic on the middle tier. Enable sophisticated messaging patterns with correlation, enhanced transaction support, durable services, and config-based activation. Learn how "Dublin" makes it easier to deploy, manage, and monitor WCF and WF applications.

    Expectation that you are familiar with WF and WCF. Not a
    Ask: How many use WF and WCF

    This is a session about how an increasing number of service that you write need to coordinate work. How you can take advantage of Runtime services provided in Dublin in your applications
    And that the services that you need to write need to be supported in production.


    How do you make Windows a the best platform for developing, hosting and managing services.
    This talk
  • Transcript

    • 1. (15 years) 450M+ active users (13 years) 550M users/mth (12 years) Largest non- ICP/IP cloud service x100M users (11 years) 320M+ active users (11 years) 2B queries/mth (15 years) 450M+ active users (7 years) 5B conf min/yr (6 years) 4B emails/day
    • 2. Web & Structured Data Indices
    • 3. > Purpose-built data centre to accommodate containers at large scale  Cost $500 million, 100,000 square foot facility (10 football fields) > 40 foot shipping containers can house as many as 2,500 servers  Density of 10 times amount of compute in equivalent space in traditional data centre > Can deliver an average PUE of 1.22  Power Usage Effectiveness benchmark from The Green Grid™ consortium on energy efficiency
    • 4. Quincy, WA Chicago, IL San Antonio, TX Dublin, Ireland Generation 4 DCs
    • 5. Abstract Resources On-premise Physical Resources Public Cloud Customizability Ease of Provisioning Global ReachSecurity & Privacy Real-Time Performance Redundancy & Resiliency Scalability & AvailabilityConsistency & Control HomogeneityHeterogeneity
    • 6. Storage Unstructured Data Blobs Message Queues Distributed Filesystem Content Distribution Data Transact-SQL Data Synchronization Relational Database ADO.NET, ODBC, PHP Connectivity Composite Applications On-Premise Bridging Service Bus Security Claims-Based Identity Federated Identities Secure Token Service Declarative Policies Application Services Application Marketplace Information Marketplace Personal Data Repository Frameworks Workflow Hosting Distributed Cache Services Hosting Compute
    • 7. Compute Storage Table Storage Service Blob Storage Service Queue Service Xdrive CDN Data SQL Azure Data Sync Connectivity Project “Sydney” Security “Geneva” Application Services Frameworks “Dublin” “Velocity”
    • 8. >     • • • • • • >    >    
    • 9. Web Hosting  Massive scale infrastructure  Burst & overflow capacity  Temporary, ad-hoc sites Application Hosting  Hybrid applications  Composite applications  Automated agents / jobs Media Hosting & Processing  CGI rendering  Content transcoding  Media streaming Distributed Storage  External backup and storage High Performance Computing  Parallel & distributed processing  Massive modeling & simulation  Advanced analytics Information Sharing  Reference data  Common data repositories  Knowledge discovery & mgmt Collaborative Processes  Multi-enterprise integration  B2B & e-commerce  Supply chain management  Health & life sciences  Domain-specific services
    • 10. Design  Horizontal scaling  Service-oriented composition  Eventual consistency  Fault tolerant (expect failures) Security  Claims-based authentication & access control  Federated identity  Data encryption & key mgmt. Management  Policy-driven automation  Aware of application lifecycles  Handle dynamic data schema and configuration changes Data & Content  De-normalization  Logical partitioning  Distributed in-memory cache  Diverse data storage options (persistent & transient, relational & unstructured, text & binary, read & write, etc.) Processes  Loosely coupled components  Parallel & distributed processing  Asynchronous distributed communication  Idempotent (handle duplicity)  Isolation (separation of concerns)
    • 11. SERVICESSERVERS
    • 12. > fabric cloud > Hybrid on-premise cloud > Consistent model tools
    • 13. © 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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