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In De Wolken Met Cloud Computing
The document provides an overview of cloud computing, detailing its characteristics, functionalities, and economic implications while introducing Microsoft Azure as a key platform. It discusses various cloud service models (IaaS, PaaS, SaaS) and compares their capabilities in different scenarios. Additionally, the document highlights the challenges related to vendor lock-in and the complexities of migrating applications between on-premises and cloud environments.
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In De Wolken Met Cloud Computing
- 1. In de wolkenmet 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 bigswitch? 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
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- 8. Cloud computing isInternet ("cloud") based development and use of computer technology ("computing”)
- 9. What is thecloud? 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 thecloud 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 cloudservices 11 Cloud Attached platforms IaaS services SaaS (PaaS) Extra Application Cloud ? Application functions Platform On- Browser/ ? Application client Application premises
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- 13. Is there amarket? 13
- 14. 14 Windows Azureplatform
- 21. Windows Azure platform 21 AppFabric Applications SQL Azure Windows Azure Live Services Applications Windows Windows 7/ Windows Others Server Vista/XP Mobile
- 22. Windows Azure 22 Application Compute Storage Config Fabric
- 23. Storage 23 HTTP Blobs Tables Queues
- 24. Windows Azure AppFabric 24 Access Control (ACS) ? Service Bus
- 25. SQL Azure 25 SQL Data Services Others (future)
- 26. 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
- 27. 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
- 28. Windows Azure servicelifecycle 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
- 29. From on-premises tocloud platforms Cloud Cloud infrastructure application services Cloud foundation Cloud application services On-premises On-premises infrastructure application services OS On-premises application services
- 30. The Starbucks model 30 Intake Worker role (web role) Queue
- 31. Azure : designedfor 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
- 32. 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
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- 34. 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
- 35. 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
- 36. 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
- 37. 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
- 38. 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
- 39. 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
- 40. 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
- 41. Workload patterns optimalfor 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
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- 43. Legal Availability Vendor lock-in Trust New development API? Costs Software + Services?
- 44. 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!
- 45. 45 Forget about allthe other argumentation
- 47.
- 48. Windows Azure 48 • Compute : $0.12 / hour • Storage : $0.15 GB / month • Bandwidth: $0.10 GB in, $0.15 GB out
- 49. Windows Azure AppServer 49 • Messages : $0.15 / 100k • Bandwidth: $0.10 GB in, $0.15 GB out
- 50. 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