In De Wolken Met Cloud Computing

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This presentation provides a cloud computing overview. Windows Azure is described in more detail as an example of a cloud platform.

This presentation provides a cloud computing overview. Windows Azure is described in more detail as an example of a cloud platform.

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  • 1. In de wolken met cloud computing? Een introductie, overzicht en vergelijking… Dec-09
  • 2. Introducing… • Class-A • Kennisprovider • Microsoft development • Training & Coaching • http://www.class-a.nl • Anko Duizer • Trainer/ coach • Blog: http://www.ankoduizer.nl • Twitter: ankoduizer
  • 3. Overview 3 • What is cloud computing? • What is Windows Azure? • Scenarios • Challenges
  • 4. The big switch? 4 • From your own Burden wheel to large-scale electricity… • Large scale electricity was possible by a series of scientific and engineering breakthroughs • But what ensured the triumph was not technology but economics • It changed our lives completely: we have light everywhere and power at each house!
  • 5. The next big switch? 5 • Cloud computing is moving away from the personal computer to a public grid: The Internet • Centralized data processing • Computing is turning into a utility • Is driven by economics • Is processing information the next electricity? • Will this change our lives once again?
  • 6. Cloud duurder dan datacenter Capaciteit huren in de cloud Schneier: cloud computing niet onveiliger Computable, 2008
  • 7. What is cloud computing?
  • 8. Cloud computing is Internet ("cloud") based development and use of computer technology ("computing”)
  • 9. What is the cloud? 9 • A set of connected servers • Offers infrastructure, platform and software as a service • An infrastructure on which you can: • Install and run services • Store and retrieve data • We have public and private clouds
  • 10. Characteristics of the cloud 10 • The management/ administration of the systems is not in hands of the user • The user pays a recurring fee • Pay for what you use (utility based computing) • The capacity of the infrastructure is elastic • Strong focus on integration (cloud-cloud, cloud-on premises)
  • 11. Kinds of cloud services 11 Cloud Attached platforms IaaS services SaaS (PaaS) Extra Application Cloud ? Application functions Platform On- Browser/ ? Application client Application premises
  • 12. Cloud computing suppliers
  • 13. Is there a market? 13
  • 14. 14 Windows Azure platform
  • 15. Windows Azure platform 21 AppFabric Applications SQL Azure Windows Azure Live Services Applications Windows Windows 7/ Windows Others Server Vista/XP Mobile
  • 16. Windows Azure 22 Application Compute Storage Config Fabric
  • 17. Storage 23 HTTP Blobs Tables Queues
  • 18. Windows Azure AppFabric 24 Access Control (ACS) ? Service Bus
  • 19. SQL Azure 25 SQL Data Services Others (future)
  • 20. SQL Azure architecture 26 Application Application Browser ODBC, OLEDB, application REST Client SQL Client* ADO.Net PHP, Ruby, … Cloud HTTP+REST HTTP TDS Windows Azure REST Web App Data center ADO.Net + EF SQL Client* TDS + TSQL Model SQL Azure
  • 21. Information services “Dallas” 27 • Information as a Service • Content brokerage and discovery platform • Discover, explore and use any type of content • Blobs, structured, real-time web services • Tap into an ecosystem of global content providers • Process and analyze data • Empowers developers of all sizes • Built on Windows Azure and SQL Azure
  • 22. Windows Azure service lifecycle 28 Coding and Provisioning Deployment Maintain Modeling goal state - Mapping and deploying to - Monitor New services Desired actual - React to configuration hardware events and updates - Network configuration Developer Developer/ Automated Automated Deployer
  • 23. From on-premises to cloud platforms Cloud Cloud infrastructure application services Cloud foundation Cloud application services On-premises On-premises infrastructure application services OS On-premises application services
  • 24. The Starbucks model 30 Intake Worker role (web role) Queue
  • 25. Azure : designed for the cloud • For easy access, from anywhere • Language agnostic REST APIs • Client libraries for .NET, Java, PHP, … • For durability • All data is replicated 3 times within a cluster, and across datacenters • For massive scale • Data is automatically partitioned and load balanced across servers
  • 26. Windows Azure – coming soon… 32 • Programming model • Administrator privilege in the VM • Deployment of pre-configured VM images • Storage • User-selectable geo locations for replicas • Secondary indices on tables • Service management • Remote terminal server access to VMs
  • 27. Scenarios
  • 28. Cloud platform scenarios 1. Running an on-premise app unchanged in the cloud 2. Scalable web application 3. Parallel processing application 4. Web application with background processing 5. Archiving
  • 29. Scenarios versus capabilities 35 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS X Scale-out web app X X platform Scale-out batch app X X platform Relational storage X X X X Scale-out storage X X X Blobs Queues X X
  • 30. Amazon Web Services 36 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS EC2 VMs Scale-out EC2 VMs EC2 VMs web app platform Scale-out EC2 VMs EC2 VMs batch app platform Relational RDS RDS storage RDS Scale-out storage SimpleDB SimpleDB Blobs S3 S3 Queues SQS
  • 31. Google AppEngine 37 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS Scale-out Java/ web app Python platform runtime Scale-out batch app platform Relational storage Scale-out storage Datastore Blobs Queues
  • 32. Salesforce.com Force.com 38 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS Scale-out Force.com web app runtime platform Scale-out batch app platform Relational storage Scale-out Force.com storage storage Blobs Queues
  • 33. Windows Azure platform 39 Run On- Scalable Very Parallel Background Archiving Premise web apps scalable processing processing apps web apps apps VM with standard OS VMs Scale-out web app Web role Web role Web role platform Scale-out Worker Worker batch app platform role role Relational SQL SQL SQL storage Azure Azure Azure Scale-out storage Tables Tables Tables Blobs Blobs Blobs Queues Queues
  • 34. Summarize platform comparison 40 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps Mosso X X Amazon Web Services X X X X X Microsoft Windows Azure X X X X X Google AppEngine X Salesforce.com Force.com X
  • 35. Workload patterns optimal for cloud 41 “On and Off “ “Growing Fast“ Compute Compute Inactivity Period Average Usage Average Usage Time Time On & off workloads (e.g. batch job) Successful services needs to grow/scale Over provisioned capacity is wasted Keeping up w/ growth is big IT challenge Time to market can be cumbersome Complex lead time for deployment “Unpredictable Bursting“ “Predictable Bursting“ Compute Compute Average Usage Average Usage Time Time Unexpected/unplanned peak in demand Services with micro seasonality trends Sudden spike impacts performance Peaks due to periodic increased demand Can’t over provision for extreme cases IT complexity and wasted capacity
  • 36. Challenges
  • 37. Legal Availability Vendor lock-in Trust New development API? Costs Software + Services?
  • 38. Vendor lock-in? 44 • The interoperability story is quite good. • Cloud platforms can expose and consume web services en RESTfull interfaces • Cloud platform data can be accessed by other applications • The portability story is quite different… • It strongly depends, each vendor is doing it differently • Moving apps form on-premise to the cloud and back is hard!
  • 39. 45 Forget about all the other argumentation
  • 40. Questions ?
  • 41. Windows Azure 48 • Compute : $0.12 / hour • Storage : $0.15 GB / month • Bandwidth: $0.10 GB in, $0.15 GB out
  • 42. Windows Azure AppServer 49 • Messages : $0.15 / 100k • Bandwidth: $0.10 GB in, $0.15 GB out
  • 43. SQL Azure 50 • Per database: • Web edition (1 GB): $9.99 / month • Business edition (10 GB): $99.99 / month • Bandwidth: $0.10 GB in, $0.15 GB out