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1  sur  27
(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
Web & Structured
Data Indices
> 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
Quincy, WA Chicago, IL San Antonio, TX Dublin, Ireland Generation 4 DCs
Abstract Resources
On-premise
Physical Resources
Public Cloud
Customizability Ease of Provisioning
Global ReachSecurity & Privacy
Real-Time Performance Redundancy & Resiliency
Scalability & AvailabilityConsistency & Control
HomogeneityHeterogeneity
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
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”
>




•
•
•
•
•
•
>



>




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
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)
SERVICESSERVERS
> fabric cloud
> Hybrid on-premise cloud
> Consistent model tools
© 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

  • 1.
  • 2.
  • 3. (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
  • 5.
  • 6. > 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
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Quincy, WA Chicago, IL San Antonio, TX Dublin, Ireland Generation 4 DCs
  • 17.
  • 18. Abstract Resources On-premise Physical Resources Public Cloud Customizability Ease of Provisioning Global ReachSecurity & Privacy Real-Time Performance Redundancy & Resiliency Scalability & AvailabilityConsistency & Control HomogeneityHeterogeneity
  • 19. 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
  • 20. 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”
  • 22. 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
  • 23. 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)
  • 25.
  • 26. > fabric cloud > Hybrid on-premise cloud > Consistent model tools
  • 27. © 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.

Notes de l'éditeur

  1. 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