Patterns for Cloud Computing

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"Patterns for Cloud Computing" presentation as delivered at QCon San Francisco 2009.

"Patterns for Cloud Computing" presentation as delivered at QCon San Francisco 2009.

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  • 1. Patterns for Cloud Computing Simon Guest Senior Director, Technical Strategy Microsoft Corporation
  • 2. Patterns for Cloud Computing
  • 3. Patterns for Cloud Computing This is Jim
  • 4. Patterns for Cloud Computing Jim has many questions about cloud computing
  • 5. Patterns for Cloud Computing The more he reads, the more confused he gets
  • 6. Patterns for Cloud Computing “What is cloud computing?”
  • 7. Patterns for Cloud Computing “What are vendors doing in this space?”
  • 8. Patterns for Cloud Computing “What applications make sense in the cloud?”
  • 9. Session Objectives
  • 10. Session Objectives Build on Stefan’s introduction of of cloud computing Provide you with 5 patterns for cloud-based applications Show implementations of these patterns
  • 11. Defining Cloud Computing
  • 12. Defining Cloud Computing Application runs on-premises • Bring my own machines, Buy my own connectivity, software, etc.and hardware, • manage my own Complete control data center and responsibility • Upfront capital costs for the infrastructure
  • 13. Defining Cloud Computing Application runs Application runs at a on-premises hoster • Bring my own • Rent machines, machines, connectivity, Buy my own Pay someone to software connectivity, software, etc.and hardware, host my application • Less control, but • manage my own Complete control using hardware that fewer data center and responsibility I specify responsibilities • Upfront capital • Lower capital costs, costs for the but pay for fixed infrastructure capacity, even if idle
  • 14. Defining Cloud Computing Application runs Application runs at a Application runs using on-premises hoster cloud platform • Bring my own • Rent machines, • Shared, machines, connectivity, multi-tenant Pay someone for a Buy my own Pay someone to software environment connectivity, pool of computing software, etc.and hardware, host my application • Less control, but • Offers pool of resources that can • manage my own Complete control using hardware that fewer computing be applied to a set data center and responsibility I specify responsibilities resources, of applications abstracted from • Upfront capital • Lower capital costs, costs for the but pay for fixed infrastructure infrastructure capacity, even if idle • Pay as you go
  • 15. Defining Cloud Computing Cloud “Variants”
  • 16. Defining Cloud Computing Public Cloud
  • 17. Defining Cloud Computing Pool of computing resources offered by a vendor, typically using a “pay as you go” model
  • 18. Defining Cloud Computing Private Cloud
  • 19. Defining Cloud Computing Pool of computing resources that lives within a self managed datacenter
  • 20. Defining Cloud Computing Pool of computing resources that lives within a datacenter with no sharing
  • 21. Defining Cloud Computing Compute: Virtualized compute based on Windows Server Storage: Durable, scalable, & available storage Management: Automated, management of the service Database: Relational processing for structured/ unstructured data Service Bus: General purpose application bus Access Control: Rules-driven, claims-based access control
  • 22. Defining Cloud Computing Different Models Infrastructure as a Service (IaaS) vs. Platform as a Service (PaaS)
  • 23. Defining Cloud Computing Your Application Deployment Frameworks Deployment Web Server OS Services Provided by Windows Azure Operating System Provided Virtualized Instance By Amazon Hardware EC2
  • 24. Defining Cloud Computing Deployment Your Application Deployment Frameworks Web Server Provided by OS Services Provided by Google Windows Azure AppEngine Operating System Virtualized Instance Hardware
  • 25. Patterns for Cloud Computing #1 - Using the Cloud for Scale
  • 26. Patterns for Cloud Computing “Isn’t the cloud good for applications that need to scale dynamically?”
  • 27. Patterns for Cloud Computing “For example, applications that have spikes or peak loads”
  • 28. Patterns for Cloud Computing “How does this work?”
  • 29. Patterns for Cloud Computing Let’s do some white boarding for Jim…
  • 30. …and when I say white boarding, I really mean it
  • 31. #1 - Using the Cloud for Scale “Wow! What a great site!” Request Browser Web Tier B/L Tier Database Response
  • 32. #1 - Using the Cloud for Scale Browser Browser Browser Web Tier B/L Tier Database “Server Busy” Browser Browser
  • 33. #1 - Using the Cloud for Scale Browser Browser Browser Web Tier B/L Tier Database Browser “Timeout” Browser
  • 34. How would Jim do this today on premises?
  • 35. #1 - Using the Cloud for Scale How would Jim do this today on premises? Browser Browser Web Tier N Browser L Web Tier B/L Tier Database B Browser Web Tier Browser
  • 36. #1 - Using the Cloud for Scale How would Jim do this today on premises? Browser Browser B/L Tier N Browser Web Tier L B/L Tier Database B Browser B/L Tier Browser
  • 37. #1 - Using the Cloud for Scale How would Jim do this today on premises? Browser Browser Web Tier B/L Tier N N Browser L Web Tier L B/L Tier Database B B Browser Web Tier B/L Tier Browser
  • 38. #1 - Using the Cloud for Scale How would Jim do this today on premises? Browser p1 p2 p3 Browser Web Tier B/L Tier N N Browser L Web Tier L B/L Tier Database B B Browser Web Tier B/L Tier Browser
  • 39. Not without consequences...
  • 40. #1 - Using the Cloud for Scale How would Jim do this today on premises? Browser p1 p2 p3 Browser Web Tier B/L Tier N N Browser L Web Tier L B/L Tier Database B B Browser Web Tier B/L Tier Browser “That took a lot of work - and money!”
  • 41. #1 - Using the Cloud for Scale How would Jim do this today on premises? p1 p2 p3 “Not so great now…” Web Tier B/L Tier N N Browser L Web Tier L B/L Tier Database B B Web Tier B/L Tier “That took a lot of work - and money!” “Hmmm... Most of this stuff is sitting idle...”
  • 42. #1 - Using the Cloud for Scale Datacenter peak load Usage Idle time Jan Apr Jul Oct
  • 43. How can cloud computing help?
  • 44. #1 - Using the Cloud for Scale “Wow! What a great site!” Request Browser Web Role Worker Role Azure Storage Response
  • 45. #1 - Using the Cloud for Scale Browser Browser Browser Web Role Worker Role Azure Storage “Server Busy” Browser Browser
  • 46. #1 - Using the Cloud for Scale Browser Browser Web Role N Browser L Web Role Worker Role Azure B Storage Browser Web Role Browser You don’t see this bit
  • 47. #1 - Using the Cloud for Scale Browser Browser Web Role Worker Role N N Browser L Web Role L Worker Role Azure B B Storage Browser Web Role Worker Role Browser
  • 48. OK, so changing config is easy... …but what else do I need to know?
  • 49. #1 - Using the Cloud for Scale Browser Browser Web Role Worker Role N N Browser L Web Role L Worker Role Azure B B Storage Browser Web Role Worker Role Browser
  • 50. #1 - Using the Cloud for Scale Browser Browser Web Role Worker Role N N Browser L Web Role L Worker Role Azure B B Storage Browser Web Role Worker Role Browser Tight coupling between web and worker role is an anti-pattern
  • 51. #1 - Using the Cloud for Scale 4. Process Web Role Worker Role 2. Respond to UI Req 1 Place on queue . 3. Pickup from queue Queue
  • 52. #1 - Using the Cloud for Scale 4. Process Web Role Worker Role Req 5. Add result to table Queue 6. Query table on refresh Table
  • 53. Demo: Prime Solver
  • 54. How many web and worker roles do you need?
  • 55. How many web and worker roles do you need?
  • 56. #1 - Using the Cloud for Scale WMI_Win32_PerfFormattedData_ASPNET_ASPNETApplications /RequestsPerSecond Browser Browser Web Role N Browser L Web Role Worker Role Azure B Storage Browser Web Role Browser Management API Log Worker Role or Email
  • 57. How many web and worker roles do you need?
  • 58. #1 - Using the Cloud for Scale Web Role Web Role Web Role Worker Role Req Req Req Queue Web Role Web Role Monitor queue length against user’s Web Role expectations
  • 59. #1 - Using the Cloud for Scale Web Role Worker Role Web Role Worker Role Web Role Worker Role Req Req Req Queue Web Role Worker Role Web Role Monitor queue Worker Role length against user’s Web Role expectations Worker Role
  • 60. Patterns for Cloud Computing Takeaways A core tenet of cloud computing is the ability to scale up/down Understand how to communicate between roles and nodes Strategy on when to scale up/down roles in production
  • 61. Patterns for Moving to the Cloud #2 - Using the Cloud for Multi Tenancy
  • 62. Patterns for Cloud Computing “I like the idea of scaling Web roles…”
  • 63. Patterns for Cloud Computing “…but need to serve multiple customers”
  • 64. Patterns for Cloud Computing “Without creating separate codebases!”
  • 65. How would Jim do this today on premises?
  • 66. #2 - Using the Cloud for Multi Tenancy How would Jim do this today on premises? Browser Web Tier B/L Tier Database Customer #1 Browser Web Tier B/L Tier Database Customer #2 Browser Web Tier B/L Tier Database Customer #3
  • 67. Gets expensive pretty quickly
  • 68. #2 - Using the Cloud for Multi Tenancy Browser Customer #1 Browser Web Tier B/L Tier Database Customer #2 Browser Customer #3
  • 69. Schema Customizations UI Customizations
  • 70. Schema Customizations UI Customizations
  • 71. 3 options for data in multi tenant environment
  • 72. #2 - Using the Cloud for Multi Tenancy Browser Fixed Schema Customer #1 Browser Web Tier B/L Tier Database Customer #2 Browser Option 1: Everyone Uses the Same Database/Schema Customer #3 Pros: Simplest approach, easy to maintain/upgrade. Cons: No customizations. Restoring of tenant data.
  • 73. #2 - Using the Cloud for Multi Tenancy Browser Database Customer #1 Customer #1 Browser Web Tier B/L Tier Database Customer #2 Customer #2 Browser Database Customer #3 Customer #3 Option 2: Give Each Customer Their Own Database/Schema Pros: Flexible. Tenant restore is easier. High Isolation. Cons: Can be costly. Difficult to upgrade db schemas.
  • 74. #2 - Using the Cloud for Multi Tenancy Browser Fixed Schema with Customizations Customer #1 Browser Web Tier B/L Tier Database Customer #2 Browser Option 3: Fixed Database/Schema, with customizations Customer #3 Pros: Customers can add their own custom fields Cons: Non standard way of customizing the schema. Tenant restore is difficult.
  • 75. #2 - Using the Cloud for Multi Tenancy Tenant * 1 TenantID int TenantName nvarchar * Employee EmployeeId int TypeID * Type int FirstName nvarchar Name nvarchar LastName nvarchar CLRType nvarchar 1 1 Customization * int * CustomizationID Value nvarchar
  • 76. #2 - Using the Cloud for Multi Tenancy Tenant * 1 TenantID 1 TenantName UK Branch * Employee EmployeeId 1 TypeID * Type 1 FirstName Gordon Name PostalCode LastName Brown CLRType string 1 1 Customization * 1 * CustomizationID Value SW1 2AA A
  • 77. #2 - Using the Cloud for Multi Tenancy Tenant * 1 TenantID 2 TenantName US Branch * Employee EmployeeId 2 TypeID * Type 2 FirstName Barack Name ZipCode LastName Obama CLRType string 1 1 Customization * 2 * CustomizationID Value 20500
  • 78. #2 - Using the Cloud for Multi Tenancy Tenant * 1 Fixed Schema TenantID 2 Applies to All Could be both TenantName US Branch * * Tenants Employee Type EmployeeId 2 TypeID 2 Customizable FirstName Barack Tenant by Tenant Name ZipCode LastName Obama Basis CLRType string 1 1 Customization * 2 * CustomizationID Value 20500
  • 79. Schema Customizations UI Customizations
  • 80. #2 - Using the Cloud for Multi Tenancy Browser Customer #1 Browser Web Tier B/L Tier Database Customer #2 Browser Customer #3
  • 81. URL Handing
  • 82. Routing using MVC approach
  • 83. #2 - Using the Cloud for Multi Tenancy http://hr.contoso.co.uk Browser Customer #1 http://employeedata.cloudapp.net Browser Web Tier B/L Tier Database Customer #2 Browser Customer #3 http://hr.fabrikam.com
  • 84. #2 - Using the Cloud for Multi Tenancy http://hr.contoso.co.uk -> CNAME (employeedata.cloudapp.net) Browser Customer #1 http://employeedata.cloudapp.net Browser Web Tier B/L Tier Database Customer #2 Browser Customer #3 http://hr.fabrikam.com -> CNAME (employeedata.cloudapp.net)
  • 85. #2 - Using the Cloud for Multi Tenancy http://hr.contoso.co.uk -> CNAME (employeedata.cloudapp.net) Browser Customer #1 http://employeedata.cloudapp.net Browser Web Tier B/L Tier Database Customer #2 Use custom route to controller mapping Browser Customer #3 http://hr.fabrikam.com -> CNAME (employeedata.cloudapp.net)
  • 86. Demo: Multi Tenant Schema and UI
  • 87. Patterns for Cloud Computing Takeaways Always consider Multi Tenancy first, even if only one customer Design considerations must include both data and UI Many other considerations, such as identity – p&p guidance
  • 88. Patterns for Moving to the Cloud #3 - Using the Cloud for Compute
  • 89. Patterns for Cloud Computing Jim sees how cloud computing supports scaling up/down nodes
  • 90. Patterns for Cloud Computing “Can I use all of these nodes in parallel?”
  • 91. Patterns for Cloud Computing “I’ve got this complex calculation I would like to share across these multiple nodes…”
  • 92. #3 - Using the Cloud for Compute Data Data Worker Data Client Master Worker Data Worker
  • 93. #3 - Using the Cloud for Compute Result Worker Result Client Master Worker Result Worker Result
  • 94. Popularized by the term “MapReduce”* * 2004 OSDI paper by Jeff Dean and Sanjay Ghemawat (Google)
  • 95. #3 - Using the Cloud for Compute How many ”e”’s in “The quick brown fox jumps over the lazy dog”? M<k,v> Data Worker M<k,v> Client Master Worker M<k.v> Worker “Map” M<“the quick brown”.”e”> M<“fox jumps over”.”e”> M<“the lazy dog”.”e”>
  • 96. #3 - Using the Cloud for Compute L<k,v> Worker L<k,v> Client Master Worker Result Worker L<k,v> 3 x ”e”s found “Reduce” L<”e”,”1”> L<”e”,”1”> L<”e”,”1”>
  • 97. And it’s definitely popular...
  • 98. #3 - Using the Cloud for Compute Google 20pb of data analyzed every day using MapReduce Yahoo! 10k+ cores, 4pb of data using MapReduce Facebook 2500+ cores, 1pb of data using MapReduce
  • 99. Frameworks
  • 100. #3 - Using the Cloud for Compute Apache Hadoop Open Source Java “Inspired by MapReduce” (Core, HDFS, many more) Cloudera Consulting, training, distribution of Hadoop Amazon Elastic MapReduce Hadoop implementation on EC2
  • 101. How would Jim do this today on premises?
  • 102. #3 - Using the Cloud for Compute How would Jim do this today on premises? Data Data Worker Data Client Master Worker Client Application Job/Task Scheduler Worker Data Remote Service
  • 103. How about implementing this on Windows Azure?
  • 104. #3 - Using the Cloud for Compute Data Worker Data Data Worker Client Web Role Data Client Application Job/Task Scheduler Worker Remote Service Req Queue Table
  • 105. Demo: Windows Azure Demo “Inspired by MapReduce”
  • 106. Patterns for Cloud Computing Takeaways MapReduce very visible, although can be difficult to initially grasp Learn about existing frameworks, especially Apache Hadoop Read up on Dryad (DryadLINQ) for future direction
  • 107. Patterns for Moving to the Cloud #4 - Using the Cloud for Storage
  • 108. Patterns for Cloud Computing “The cloud lets me store infinite data, right?”
  • 109. Patterns for Cloud Computing Lots of headaches with data management today
  • 110. Patterns for Cloud Computing “It sounds too good to be true…”
  • 111. How does Jim do this today on premises?
  • 112. #4 - Using the Cloud for Storage How would Jim do this today on premises? File RPC/NFS Client File Server Store
  • 113. #4 - Using the Cloud for Storage How would Jim do this today on premises? Data TDS (Tabular Data Stream) Client DB Server RDBMS
  • 114. #4 - Using the Cloud for Storage How would Jim do this today on premises? Data HTTP POST Browser Web Server Database
  • 115. #4 - Using the Cloud for Storage I love I love you! you too! Server Data Affinity between your data and physical hardware that serves it
  • 116. #4 - Using the Cloud for Storage I love I love you! you too! Server Data Symptoms: Which RAID number was that again? Tedious to backup exponentially growing data Crap! I’m at 95% capacity - got to move to a bigger disk
  • 117. How does the cloud help?
  • 118. Breaks the affinity between your data and hardware
  • 119. Blobs, Tables, Relational
  • 120. Blobs, Tables, Relational
  • 121. #4 - Using the Cloud for Storage PutBlob Blob Container PUT http://account.blob.core.windows./net/containername/blobname REST API Client Azure Blob Storage http://account.blob.core.windows.net/containername/blobname PutBlob = 64Mb MAX MetaData = 8Kb per Blob
  • 122. #4 - Using the Cloud for Storage Blob Container REST API Client Azure Blob Storage GetBlob GET http://account.blob.core.windows./net/containername/blobname http://account.blob.core.windows.net/containername/blobname
  • 123. #4 - Using the Cloud for Storage Blob Container REST API Client Azure Blob Storage GetBlob GET http://account.blob.core.windows./net/containername/blobname Range: bytes=329300 - 730000 http://account.blob.core.windows.net/containername/blobname
  • 124. #4 - Using the Cloud for Storage PutBlock(blobname, blockid, data) Blob Container PutBlockList(blobname, blockid1 …, blockidN) , REST API Client Azure Blob Storage http://account.blob.core.windows.net/containername/blobname PutBlock = 4Mb MAX to a maximum of 50Gb BlockId = 64 bytes
  • 125. Blobs, Tables, Relational
  • 126. #4 - Using the Cloud for Storage REST: GET http://account.table.core.windows.net/Customer?$filter=%20PartitionKey%20eq%20value LINQ: var customers = from o in context.CreateQuery<customer>(“Customer”) where o.PartitionKey == value select o; Worker Role Azure Table Storage http://account.table.core.windows.net Each Table: PartitionKey (e.g. DocumentName) to ensure scalability RowKey (e.g. version number) [fields] for data
  • 127. Blobs, Tables, Relational
  • 128. Codename Sitka (early 2008)
  • 129. SQL Server Data Services (MIX08)
  • 130. #4 - Using the Cloud for Storage This is what I’m doing on premises... Data TDS Client DB Server RDBMS
  • 131. #4 - Using the Cloud for Storage So, this is what I would like to do in the cloud... Data TDS Client DB Server RDBMS
  • 132. SQL Data Services (MIX09)
  • 133. SQL Azure (July 2009)
  • 134. #4 - Using the Cloud for Storage So, this is what I would like to do... Data TDS Client SQL Azure RDBMS
  • 135. #4 - Using the Cloud for Storage HTTP TDS Browser Web Role SQL Azure RDBMS
  • 136. #4 - Using the Cloud for Storage HTTP Queue TDS Browser Web Role Worker Role SQL Azure RDBMS
  • 137. Migration!
  • 138. #4 - Using the Cloud for Storage “The Data Center” HTTP TDS Browser Web Tier Bus. Logic SQL Server RDBMS
  • 139. #4 - Using the Cloud for Storage “The Cloud” HTTP Queue TDS Browser Web Role Worker Role SQL Azure RDBMS
  • 140. Demo: SQL Azure CTP
  • 141. Patterns for Cloud Computing Takeaways Storage in the cloud may look the same, but breaks the affinity issue Understand the pricing model for storage on-premises vs. cloud SQL Azure as a factor for migration/move from on premises
  • 142. Patterns for Moving to the Cloud #5 - Using the Cloud for Communications
  • 143. Patterns for Cloud Computing Jim’s organization needs to communicate with other organizations
  • 144. Patterns for Cloud Computing “This has always been a very tricky and expensive process to get working”
  • 145. Patterns for Cloud Computing “Does the cloud offer anything to help?”
  • 146. How would Jim have done this before?
  • 147. #5 - Using the Cloud for Communications Telco provided WAN Company 1 Company 2 Client Server FTP FTP Client Server
  • 148. #5 - Using the Cloud for Communications Internet Telco provided WAN Company 1 Company 2 Client Server FTP FTP Client Server
  • 149. #5 - Using the Cloud for Communications Internet Telco provided WAN Company 1 Company 2 DMZ Client Server Extranet Browser Site
  • 150. What does the cloud provide?
  • 151. #5 - Using the Cloud for Communications http://app.queue.core.windows.net/ REST Client Azure Queue
  • 152. #5 - Using the Cloud for Communications Company 1 http://app.queue.core.windows.net/ Client REST Azure Queue Company 2 Client
  • 153. #5 - Using the Cloud for Communications Company 1 http://app.queue.core.windows.net/ Client REST Azure Queue Company 2 Client
  • 154. #5 - Using the Cloud for Communications Company 1 http://app.queue.core.windows.net/ Client Primary Access Key REST Azure Queue Company 2 Client Primary Access Key
  • 155. #5 - Using the Cloud for Communications Company 1 http://app.queue.core.windows.net/ Client REST Web Role Azure Queue Company 2 Client
  • 156. #5 - Using the Cloud for Communications Proxy? Company 1 Firewall http://app.queue.core.windows.net/ Client REST Web Role Azure Queue Company 2 Client Firewall
  • 157. #5 - Using the Cloud for Communications Company 1 Firewall http://app.queue.core.windows.net/ Client REST Web Role Azure Queue Company 2 65.55.33.204 Client Firewall 192.168.14.100 NAT?
  • 158. #5 - Using the Cloud for Communications Company 1 Firewall http://app.queue.core.windows.net/ Client REST Web Role Azure Queue Company 2 65.55.33.204 Client Firewall 192.168.14.100 OK, so I’ll do a HTTP poll every minute
  • 159. #5 - Using the Cloud for Communications Company 1 Firewall http://app.queue.core.windows.net/ Client REST Web Role Azure Queue Company 2 65.55.33.204 Client Firewall 192.168.14.100 …and how about other protocols other than HTTP?
  • 160. How does the .NET Service Bus help?
  • 161. #5 - Using the Cloud for Communications Company 1 sb://.../myqueue Client .NET Service Bus Company 2 Client
  • 162. Two modes: TCP Relay and Message Buffer
  • 163. Two modes: TCP Relay and Message Buffer
  • 164. #5 - Using the Cloud for Communications Company 1 sb://.../myqueue Client .NET Service Bus Company 2 Client Firewall Outbound bi-directional socket Kept alive in background
  • 165. #5 - Using the Cloud for Communications Company 1 Firewall sb://.../myqueue Client Outbound one-way socket .NET Service Bus Company 2 Message routed Client accordingly Firewall Outbound bi-directional socket Kept alive in background
  • 166. #5 - Using the Cloud for Communications This Conference Application Firewall sb://.../myqueue My Laptop Outbound one-way socket Localhost:1000 .NET Service Bus My Home Message routed Home PC accordingly 192.168.14.193 Firewall Outbound bi-directional socket Kept alive in background SQL Express Port 1433
  • 167. Two modes: TCP Relay and Message Buffer
  • 168. #5 - Using the Cloud for Communications Company 1 sb://.../myqueue Client .NET Service Bus Company 2 ATOMPub via REST Client Firewall Consumer defines and creates a Message Buffer
  • 169. #5 - Using the Cloud for Communications Company 1 Producer sends messages to the Message Buffer sb://.../myqueue Client Firewall .NET Service Bus Company 2 ATOMPub via REST Client Firewall
  • 170. #5 - Using the Cloud for Communications Company 1 sb://.../myqueue Client Firewall .NET Service Bus Company 2 ATOMPub via REST Client Firewall Consumer picks up these messages (retrieve, peek, lock)
  • 171. Patterns for Cloud Computing Takeaways Be careful consuming REST based queues using shared secret Firewalls/NATs can add additional trouble (especially non-HTTP) Learn how .NET Service Bus traverses in these scenarios
  • 172. Patterns for Moving to the Cloud Putting the Patterns Together
  • 173. Patterns for Cloud Computing We’ve covered 5 patterns, but Jim has one last question…
  • 174. Patterns for Cloud Computing Are there cases where these patterns work together?
  • 175. Putting the Patterns Together Windows Azure PHP Let’s build an application in PHP that scales to many nodes…
  • 176. Putting the Patterns Together Use the principles of Windows Azure multi tenancy to PHP (10 nodes) create a version of the application across multiple vendors Google AppEngine Java Servlet Amazon EC2 (5 nodes ASP .NET using ELB)
  • 177. Putting the Patterns Together Windows Azure PHP Job Google AppEngine Client Job Java Servlet Compute results with Job a MapReduce-like way of distributing work Amazon EC2 across all of these ASP .NET applications
  • 178. Putting the Patterns Together Store the results in a SQL Azure Windows Azure database PHP Job Google AppEngine Client Job Java Servlet SQL Azure Database Job Amazon EC2 ASP .NET
  • 179. Putting the Patterns Together .NET Service Bus Windows Azure PHP Job Google AppEngine Client Job Java Servlet SQL Azure Database Job Coordinate Amazon EC2 communication ASP .NET through the .NET Service Bus
  • 180. Putting the Patterns Together .NET Service Bus Windows Azure PHP Job Google AppEngine Client Job Java Servlet SQL Azure Database Job Amazon EC2 ASP .NET
  • 181. Putting the Patterns Together .NET Service Bus Windows Azure Store results How many prime in SQL Azure numbers between PHP 1 and 10,000,000? Compute Job Google AppEngine Client Job Java Servlet SQL Azure Database Compute Job 40 jobs of Amazon EC2 250,000 numbers ASP .NET Compute
  • 182. Demo: Prime Solver v2.0
  • 183. Next Steps
  • 184. Next Steps Obviously, our friend Jim, is fake…
  • 185. Next Steps Make sure you have a clear definition of Cloud Computing Explore the 5 usage patterns for your scenarios today Think about the next steps for implementation and migration
  • 186. simon.guest@microsoft.com http://simonguest.com