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Microsoft Cloud Computing 18,553 views Share Like Download ...

Web & Structured Data Indices

David Chou, Architect Follow Published on Nov 21, 2009

Windows Azure Platform overview; Microsoft's cloud computing platform ... Published in: Technology 1 Comment 13 Likes Statistics Notes

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mrlingam 6 years ago Show More No Downloads Views Total views 18,553 On SlideShare 0 From Embeds 0 Number of Embeds 318 Actions Shares 0 Downloads 1,258 Abstract Resources On-premise Physical Resources Public Cloud Customizability Ease of Provisioning Global ReachSecurity & ... Comments 1 Likes 13 Embeds 0 No embeds No notes for slide 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 highlyavailable 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 Storage Unstructured Data Blobs Message Queues Distributed Filesystem Content Distribution Data Transact-SQL Data Synchron...

Microsoft Cloud Computing

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 Compute Storage Table Storage Service Blob Storage Service Queue Service Xdrive CDN Data SQL Azure Data Sync Connectivity ... 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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Microsoft Cloud Computing

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