Cloud computing:         highlightsLuís Bastião - bastiao@ua.pt
Outlines Cloud computing: natural evolution   Stack   Deployment models Services   Blobstore/Datastore   Databases  ...
Overview3
Computing paradigm               4
Computing paradigm               5
Cloud computing: definition “Cloud computing has the potential to create irreversible  changes in how computers are used ...
Cloud computing: definition “Cloud computing technology’s objective is to move any  application stored on a computer to a...
Clod computing: definition Resources as a Commodity                 8
Anywhere and anytimehttp://cloudcomputingcompaniesnow.com/                                   9
1) No capital expenditures                  10
2) Pay only what you need                 11
3) Elastic capacity                      12
4) Focus on development                13
5) No need to maintain infrastructure                  14
6) Redundancy                15
7) Design for failure                   16
Deployment models               17
Increase efficiently                   18
Increase efficiently                   19
Increase efficiently                   20
Increase efficiently                   21
Increase efficiently                   22
Cloud computing providers                23
So..? Leave it to the experts.… who have a lot of money to spend to buildlarge datacenters in different locations of thegl...
Benefits/Challenges Reduce IT infrastructure on the organizations side Reduce the maintenance of datacenter Reduce the ...
Services26
What fits in the cloud services? Elastic capacity: applications to scale SOA applications: all of them use mainly web se...
Cloud computing stack                Software as a service        (Finished application: for sales and it                 ...
Infrastructure-as-a-Service Adding “servers” in a click Run it in just a few minutes, not days                          ...
Infrastructure-as-a-Service Create Virtual Machines on demand Snapshots Start/Stop machines Automatically scale Pay o...
Infrastructure-as-a-Service - Hybrid                  31
High Level: Platform-as-a-Service Platform-as-a-Service (PaaS)   Storage-as-a-Service   Database-as-a-Service   Notifi...
Storage-as-a-Service Blobstore: upload blobs/data objects to the cloud Based on Key, Value concept Each blobstore can c...
Storage-as-a-Service Providers:   Dropbox API   S3   Google Storage   Azure Storage   Box.net   Rackspace Store    ...
Databases – Columnar Data Flexible and mutable tables Key/Value structure Providers:   Datastore Google AppEngine   A...
Notification systems Asynchronous message queue HTTP protocol Publish/Subscribe pattern Examples:   Channel API   Pu...
Frameworks/SDKs37
Google AppEngine: What is it? Platform-as-a-Service Languages: Java and Python Create Web Applications Free (to start ...
Google AppEngine: services                 39
Google AppEngine: Dashboard               40
Google AppEngine: Dashboard               41
Google AppEngine: Datastore “Bigtable is a distributed storage system for managing  structured data that is designed to s...
Requires a new way of thinking                 43
Google AppEngine: Channel API Channel API: notification and collaborative environment                              44
PubNub Free service to do notification in real time Accessible via Web Services Easy to use for collaborative systems ...
PubNub         46
Multi cloud frameworks                47
Jclouds: Multi cloud library Services:   Computing Service   Blobstore service Language: Java Supports several cloud ...
Jclouds - blobstoreBlobStoreContext context = new BlobStoreContextFactory().createContext("aws-s3", identity, credential);...
Other services Computing services: launch machines on demand.   Allocate processing and memory   Grow dynamically   Pa...
What to do next? Keywords: Google AppEngine, AWS S3, Dropbox API, Cloud   API Google AppEngine – SDK (PaaS) Dropbox API...
References http://blog.zenoss.com/2011/08/top-10-presentations-on-cloud-   computing/ http://www.slideshare.net/jaapgorj...
Thanks for yourattention!bastiao@ua.pttwitter.com/luisbastiao53
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  • Use cases:Webscale Database needs big table – Map Reduce Programming modelGoogle APIS, sign, interact with Google Apps
  • Not a relation databaseNo joins, nao ha queries agregadas, hierarquiaefectadapeladistribuiçãopelos dados pordiversasmaquinas.As queries sãofeitasaoindiceData store comoentidades, contem key/values
  • Muitobomnao se terquepreocupar com alojamento e infrastruturaFalta de queries agragativaspodesermau.Muitobomparaprojectospequenasqueprecisemescalar.
  • Cloud computing: highlights

    1. 1. Cloud computing: highlightsLuís Bastião - bastiao@ua.pt
    2. 2. Outlines Cloud computing: natural evolution  Stack  Deployment models Services  Blobstore/Datastore  Databases  Notification Systems Frameworks  Google AppEngine  PubNub  Jclouds  AWS 2
    3. 3. Overview3
    4. 4. Computing paradigm 4
    5. 5. Computing paradigm 5
    6. 6. Cloud computing: definition “Cloud computing has the potential to create irreversible changes in how computers are used around the world” 6
    7. 7. Cloud computing: definition “Cloud computing technology’s objective is to move any application stored on a computer to a remote location, eliminating all the standard components, including operating systems and hard drives, which are necessary in today’s computers and make them accessible online through a standard browser.” 7
    8. 8. Clod computing: definition Resources as a Commodity 8
    9. 9. Anywhere and anytimehttp://cloudcomputingcompaniesnow.com/ 9
    10. 10. 1) No capital expenditures 10
    11. 11. 2) Pay only what you need 11
    12. 12. 3) Elastic capacity 12
    13. 13. 4) Focus on development 13
    14. 14. 5) No need to maintain infrastructure 14
    15. 15. 6) Redundancy 15
    16. 16. 7) Design for failure 16
    17. 17. Deployment models 17
    18. 18. Increase efficiently 18
    19. 19. Increase efficiently 19
    20. 20. Increase efficiently 20
    21. 21. Increase efficiently 21
    22. 22. Increase efficiently 22
    23. 23. Cloud computing providers 23
    24. 24. So..? Leave it to the experts.… who have a lot of money to spend to buildlarge datacenters in different locations of theglobe. 24
    25. 25. Benefits/Challenges Reduce IT infrastructure on the organizations side Reduce the maintenance of datacenter Reduce the costs  Energy, air condition  Licenses Access applications and data “anytime, anywhere”x Ensure privacy and confidentialityx Interoperability with existents protocolsx Portability 25
    26. 26. Services26
    27. 27. What fits in the cloud services? Elastic capacity: applications to scale SOA applications: all of them use mainly web services to communicate Access anytime and anywhere High parallelized workflows 27
    28. 28. Cloud computing stack Software as a service (Finished application: for sales and it customizable) Plataform as a service (Developer plataform that abstracts the infrastructure OS) Infrastructure as a service (Abstract real infrastructure) 28
    29. 29. Infrastructure-as-a-Service Adding “servers” in a click Run it in just a few minutes, not days 29
    30. 30. Infrastructure-as-a-Service Create Virtual Machines on demand Snapshots Start/Stop machines Automatically scale Pay only the resources that the machine are using There is an API, you can management the infrastructure programming or invoking web services 30
    31. 31. Infrastructure-as-a-Service - Hybrid 31
    32. 32. High Level: Platform-as-a-Service Platform-as-a-Service (PaaS)  Storage-as-a-Service  Database-as-a-Service  Notification-as-a-Service 32
    33. 33. Storage-as-a-Service Blobstore: upload blobs/data objects to the cloud Based on Key, Value concept Each blobstore can contain several containers/buckets. They have a Key and the value is a binary blob. The developer can store information 33
    34. 34. Storage-as-a-Service Providers:  Dropbox API  S3  Google Storage  Azure Storage  Box.net  Rackspace Store 34
    35. 35. Databases – Columnar Data Flexible and mutable tables Key/Value structure Providers:  Datastore Google AppEngine  Azure Table  SimpleDB – AWS 35
    36. 36. Notification systems Asynchronous message queue HTTP protocol Publish/Subscribe pattern Examples:  Channel API  PubNub 36
    37. 37. Frameworks/SDKs37
    38. 38. Google AppEngine: What is it? Platform-as-a-Service Languages: Java and Python Create Web Applications Free (to start with) www.appspot.com
    39. 39. Google AppEngine: services 39
    40. 40. Google AppEngine: Dashboard 40
    41. 41. Google AppEngine: Dashboard 41
    42. 42. Google AppEngine: Datastore “Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance” 42
    43. 43. Requires a new way of thinking 43
    44. 44. Google AppEngine: Channel API Channel API: notification and collaborative environment 44
    45. 45. PubNub Free service to do notification in real time Accessible via Web Services Easy to use for collaborative systems Check it out: http://www.pubnub.com/console Free alternatives to deploy locally:  http://www.ape-project.org/  XMPP/Smack 45
    46. 46. PubNub 46
    47. 47. Multi cloud frameworks 47
    48. 48. Jclouds: Multi cloud library Services:  Computing Service  Blobstore service Language: Java Supports several cloud providers for Computing Utility and Storage Jclouds.org/github
    49. 49. Jclouds - blobstoreBlobStoreContext context = new BlobStoreContextFactory().createContext("aws-s3", identity, credential);BlobMap map = context.createBlobMap(”food");Blob blob = map.blobBuilder("sushi.jpg") .payload(new File("sushi.jpg"))// or byte[]. InputStream, etc. .contentDisposition("attachment; filename=sushi.jpg") .contentType("image/jpeg") .calculateMD5().build();map.put(blob.getName(), blob);context.close(); 49
    50. 50. Other services Computing services: launch machines on demand.  Allocate processing and memory  Grow dynamically  Pay what you use Networking Payments Workflow … and many others. 50
    51. 51. What to do next? Keywords: Google AppEngine, AWS S3, Dropbox API, Cloud API Google AppEngine – SDK (PaaS) Dropbox API – Storage Google API – Services Install your own services (testing) 51
    52. 52. References http://blog.zenoss.com/2011/08/top-10-presentations-on-cloud- computing/ http://www.slideshare.net/jaapgorjup/cloud-computing-intro-slides http://www.slideshare.net/simon/ive-probably-been-using-google- app-engine-for-a-week-longer-than-you-have http://www.appspot.com http://www.pubnub.com http://aws.amazon.com 52
    53. 53. Thanks for yourattention!bastiao@ua.pttwitter.com/luisbastiao53
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