1. “Clouds: a construction zone” (and Why PaaS is the future…) Matt Thompson General Manager, Developer & Platform Evangelism Microsoft

2. My Twitter feed: http://twitter.com/DeveloperFish email: matt.thompson@microsoft.comhttp://twitter.com/DeveloperFish

3. “We’re all in on the Cloud…” Steve Ballmer on Cloud Computing, March 4 th, University of Washington Complete transcript: http://www.microsoft.com/presspass/exec/steve/2010/03-04Cloud.mspx

5. IT as a Service software as a service infrastructure as a service platform as a service “SaaS”“PaaS”“IaaS”

6. Why Clouds (now)  10+ years of increasing complexity (& cost) in the datacenter  Utilization hit a wall (constrained by power and real estate)  Virtualization helped (in the beginning…)  How do you manage dozens (if not 00’s) of virtualized images?  9/10 new startups* in Silicon Valley are focused on delivery services/content to the web or mobile  Software models have already shifted…  What else are Angels/VC’s going to fund?  Initial investment low  Low capital requirements (even to get to “provable” scale)  Eco-system around “cloud” is now self-fulfilling  management tools, multi-cloud deployment, billing, hosted ALM

7. How we view Clouds

8. SERVICESSERVER Operating System Relational Database CLIENT Developer Tools Programming Model Application Services Systems Management Applications

9. Public vs. Private (and what’s a “Hybrid…?”)

10. Platform Continuum Bring your own machines, connectivity, software, etc. Complete control Complete responsibility Static capabilities Upfront capital costs for the infrastructure Renting machines, connectivity, software Less control Fewer responsibilities Lower capital costs More flexible Pay for fixed capacity, even if idle Shared, multi-tenant infrastructure Virtualized & dynamic Scalable & available Abstracted from the infrastructure Higher-level services Pay as you go On-Premises Servers Hosted Servers Cloud Platform

11. Public Clouds vs. “Private Clouds” Public Clouds Microsoft’s Azure, Amazon’s AWS, Google’s AppEngine, etc. Pubic pay-for-use instances of storage, compute (and data…) services “Private Clouds…” Leveraging infrastructure for data/operations not appropriate for a Public Cloud Security/sensitivity of data Unique analysis/modeling Other “on premise” requirements (size of data, etc.) Keys are infrastructure, service instantiation, & management Hybrid Clouds… Represent private/public cloud interfaces Natural evolution of the “either/or” scenario Prediction: huge opportunity…

12. The Microsoft Cloud Purpose-built data centers 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 Data Center Infrastructure

13. Microsoft’s DC Strategy

14. A few Predictions…

15. #0: PaaS is the “sweet spot” (Everyone wants to be a “Platform…”)

16. The new cloud platform PaaS: the new cloud platform Don’t get into the IaaS business unless you can afford to play “at scale…” SaaS is a software consumption model Platforms enable ecosystems through API’s Developers are the “ecosystem enablers…” Developers leverage platforms to innovate… You need developers if you have a “platform” Everyone wants to be the “next” platform… Google, Salesforce, Amazon, … Facebook

17. #1: Cloud is the “next stage…” (But it doesn’t stop there)

18. “The Cloud “stage…” Smarter clients demand smarter “back ends…” Clouds are uniquely suited for this Put intelligence in the client, put data in the network… Scale (in all dimensions) is ultimately driven by cost efficiencies… Clouds enable new types of business models around consumption, delivery, management, and arbitrage

19. #2: “Data as a Service” (prediction: going to be huge…)

20. “Data as a Service” What do you mean? Authoritative data, weather, demographics, financial, images, community reviews… Commercial, gov’t, & trusted public domain USGS, NOAA,… Relational, blob, web services example: Microsoft’s Project “Dallas” Information Service - Standardized data access through API’s - Analytics and reporting - Marketplace