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1 of 27
(15 years)
450M+
active users

(13 years)
550M
users/mth

(11 years)
2B
(11 years)
320M+ queries/mth
(12 years)
active
Largest nonusers
ICP/IP cloud
service
x100M users

(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
Consistency & Control
On-premise

Scalability & Availability
Public Cloud

Real-Time Performance
Security & Privacy
Customizability
Physical Resources
Heterogeneity

Redundancy & Resiliency
Global Reach
Ease of Provisioning
Abstract Resources
Homogeneity
Personal Data
Repository

Application
Marketplace

Information
Marketplace

Services
Hosting

Workflow
Hosting

Distributed
Cache

Declarative
Policies

Claims-Based
Identity

Federated
Identities

Service Bus

Composite
Applications

On-Premise
Bridging

Relational
Database

ADO.NET, OD
BC, PHP

Transact-SQL

Blobs

Message
Queues

Distributed
Filesystem

Application Services
Frameworks
Secure Token
Service

Security
Connectivity
Data

Data

Synchronization

Compute
Storage

Unstructured
Data

Content
Distribution
Application Services
Frameworks

“Dublin”

“Velocity”

Security

“Geneva”

Connectivity

Project
“Sydney”
SQL Azure
Data Sync

Data

Compute
Storage

Table Storage
Service

Blob Storage
Service

Queue
Service

Xdrive

CDN
>

>












>


•
•



•
•
•




•


Web Hosting

High Performance Computing



Massive scale infrastructure



Parallel & distributed processing



Burst & overflow capacity



Massive modeling & simulation



Temporary, ad-hoc sites



Advanced analytics

Application Hosting

Information Sharing



Hybrid applications



Reference data



Composite applications



Common data repositories



Automated agents / jobs



Knowledge discovery & mgmt

Media Hosting & Processing

Collaborative Processes



CGI rendering



Multi-enterprise integration



Content transcoding



B2B & e-commerce



Media streaming



Supply chain management



Health & life sciences



Domain-specific services

Distributed Storage


External backup and storage
Design

Data & Content



Horizontal scaling



De-normalization



Service-oriented composition



Logical partitioning



Eventual consistency



Distributed in-memory cache



Fault tolerant (expect failures)



Diverse data storage options
(persistent & transient, relational
& unstructured, text &
binary, read & write, etc.)

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

Processes


Loosely coupled components



Parallel & distributed processing



Asynchronous distributed
communication



Idempotent (handle duplicity)



Isolation (separation of concerns)
SERVERS

SERVICES
>

fabric cloud

> Hybrid on-premise
> Consistent

cloud
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 (11 years) 2B (11 years) 320M+ queries/mth (12 years) active Largest nonusers ICP/IP cloud service x100M users (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. Consistency & Control On-premise Scalability & Availability Public Cloud Real-Time Performance Security & Privacy Customizability Physical Resources Heterogeneity Redundancy & Resiliency Global Reach Ease of Provisioning Abstract Resources Homogeneity
  • 19. Personal Data Repository Application Marketplace Information Marketplace Services Hosting Workflow Hosting Distributed Cache Declarative Policies Claims-Based Identity Federated Identities Service Bus Composite Applications On-Premise Bridging Relational Database ADO.NET, OD BC, PHP Transact-SQL Blobs Message Queues Distributed Filesystem Application Services Frameworks Secure Token Service Security Connectivity Data Data Synchronization Compute Storage Unstructured Data Content Distribution
  • 20. Application Services Frameworks “Dublin” “Velocity” Security “Geneva” Connectivity Project “Sydney” SQL Azure Data Sync Data Compute Storage Table Storage Service Blob Storage Service Queue Service Xdrive CDN
  • 22. Web Hosting High Performance Computing  Massive scale infrastructure  Parallel & distributed processing  Burst & overflow capacity  Massive modeling & simulation  Temporary, ad-hoc sites  Advanced analytics Application Hosting Information Sharing  Hybrid applications  Reference data  Composite applications  Common data repositories  Automated agents / jobs  Knowledge discovery & mgmt Media Hosting & Processing Collaborative Processes  CGI rendering  Multi-enterprise integration  Content transcoding  B2B & e-commerce  Media streaming  Supply chain management  Health & life sciences  Domain-specific services Distributed Storage  External backup and storage
  • 23. Design Data & Content  Horizontal scaling  De-normalization  Service-oriented composition  Logical partitioning  Eventual consistency  Distributed in-memory cache  Fault tolerant (expect failures)  Diverse data storage options (persistent & transient, relational & unstructured, text & binary, read & write, etc.) 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 Processes  Loosely coupled components  Parallel & distributed processing  Asynchronous distributed communication  Idempotent (handle duplicity)  Isolation (separation of concerns)
  • 25.
  • 26. > fabric cloud > Hybrid on-premise > Consistent cloud 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.

Editor's Notes

  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 WCFThis 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 applicationsAnd 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