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Cars on the Ground,Customers n the Clouds

Scalng a Webste WhleEnhancng nnovaton

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About Kelley Blue Book

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Cloud as a Utility Computing Platform

> How we operate servers on premise

Serve

rs

time

Operate

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Cloud as a Utility Computing Platform

> How we use our servers on premise

Servers

time

Actual

Operate

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Cloud as a Utility Computing Platform

> How we really operate our servers on premise

Serve

rs

time

ActualOperate

Really

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Cloud as a Utility Computing Platform

> How do we pay for servers on premise?

Cost

time

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Cloud as a Utility Computing Platform

> Viral Marketing

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Cloud as a Utility Computing Platform

> How much flexibility is there?

Serve

rs

time

Actual (uh oh!)

Operate

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Cloud as a Utility Computing Platform

> Problems with this approach

Focus on planning for scale rather than building

applications

Hard to handle the unexpected

Load and stress testing becomes critical up front Large initial cost

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Cloud as a Utility Computing Platform

> Why not just virtualize everything? (The Private

Cloud)

CPU

Utilization

time

Application 1

Application 2

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Cloud as a Utility Computing Platform

> Why not just virtualize everything? (The Private

Cloud) Is this realistic?

How many problems have we really addressed?

- Focus on planning for scale rather than buildingapplications

- Hard to handle the unexpected

- Load and stress testing becomes critical up front

- Large initial cost

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Cloud as a Storage Platform

> Same benefits as Compute

Builtin redundancy

Builtin scalability

Lower initial cost, and most likely lower overall cost

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Demo

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KBB.COM and the Cloud> What are we targeting?

Redundancy

Burst capacity

Moving data from SQL to cloud storage

Leveraging existing investments

> OnPremise Implementation

kbb.com, established 1995

14M UU/month

Multiple physical data centers

Technical implementation

Client Silverlight, DeepZoom, WPF

Web IIS 7, ASP.NET MVC

Server SQL Server 2008, Windows Server 2008

Tools Visual Studio 2008, .NET Framework 3.5

63,000 lines of .NET code

2.5 GB SQL Server DB w/ 125 tables, 15 indexed views, 117 stored procs, etc

> Cloud Solution Cloudbased overflow capacity

Windows Azure Web Role

SQL Azure database

> Benefits ~$100,000 savings / year in hosting

costs alone

Retire failover data center (27 Web

servers & 9 SQL Servers)

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KBB.COM and the Cloud

Reviews

Media

Center

Advertising

CDN

(images)

Analytics

Inventory

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Kevin Boylemicrosoft corporation

kevin.boyle@microsoft.com

twitter:@kevinmsft

Less Data, More Apps

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@kevnmsft

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Marketplace

Bllng

Account

Management

Servcesfor

ContentPr

ovders

Standard DataAccess (OData)

https://www.sqlazureservices.com/Default.aspx

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David Choumicrosoft corporation

david.chou@microsoft.com

twitter:@davidcchou

Scale as a Compettve Advantage

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Cloud as a Platform

> Utility computing

Ondemand infrastructure

Selfprovisioning and servicing

Rapid elasticity

Economy of scale

Operational expenditures

> InfrastructureasaService

> Service delivery model

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Cloud as a Platform

> Native cloud applications

Horizontal scaling (scaleout)

Parallelization

Sharednothing

Multitenancy

Failure resilient (or failinplace)

Serviceoriented

Staged production

Federated composition

> PlatformasaService

> Application development model

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Scale as a competitive advantage

Infinite storage. Clouds ofprocessors. Our ability to capture,

warehouse, and understand

massive amounts of data is

changing science, medicine,

business, and technology. As ourcollection of facts and figures

grows, so will the opportunity to

find answers to fundamental

questions. Because in the era of

big data, more isn't just more.

More is different.

Wired Magazine Issue 16.0706.23.2008

> 2009 stats:

+200B page views/month >3.9T feed actions/day

+300M active users

>1B chat messages/day

100M search queries/day

>6B minutes spent/day

+20B photos, +2B/month growth

600K photos served /sec 25TB log data /day processed

120M queries /sec on memcache

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Cloud as a scale enabler

> Applications at Internet scale

Social networking

Social and geo analysis

Web as a platform

Big data (The Petabyte Age)

Realtime web

Semantic web

Derived intelligence

> Nextgen applications

Bioengineering

Financial modeling

Federated business processes

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2010 Mcrosoft Corporaton. All rghts reserved. Mcrosoft, Wndows, and other product names are or may be regstered trademarks and/or trademarks n the U.S. and/or other countres.The nformaton heren s for nformatonal purposes only and represents the current vew of Mcrosoft Corporaton as of the date of ths presentaton. Because Mcroso ft must respond to changng marketcondtons, t should not be nterpreted to be a commtment on the part o f Mcrosoft, and Mcrosoft cannot guarantee the accuracy of any nformaton provded after the date of ths presentaton.MCROSOFT MAKES NO WARRANTES, EXPRESS, MPLED OR STATUTORY, AS TO THE NFORMATON N THS PRESENTATON.

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