Cloud computing: highlights
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Cloud computing: highlights






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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 Cloud computing: highlights Presentation Transcript

  • Cloud computing: highlightsLuís Bastião -
  • Outlines Cloud computing: natural evolution  Stack  Deployment models Services  Blobstore/Datastore  Databases  Notification Systems Frameworks  Google AppEngine  PubNub  Jclouds  AWS 2
  • Overview3
  • Computing paradigm 4
  • Computing paradigm 5
  • Cloud computing: definition “Cloud computing has the potential to create irreversible changes in how computers are used around the world” 6
  • 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
  • Clod computing: definition Resources as a Commodity 8
  • Anywhere and anytime 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 theglobe. 24
  • 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
  • Services26
  • 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
  • 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
  • Infrastructure-as-a-Service Adding “servers” in a click Run it in just a few minutes, not days 29
  • 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
  • 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  Notification-as-a-Service 32
  • 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
  • Storage-as-a-Service Providers:  Dropbox API  S3  Google Storage  Azure Storage   Rackspace Store 34
  • Databases – Columnar Data Flexible and mutable tables Key/Value structure Providers:  Datastore Google AppEngine  Azure Table  SimpleDB – AWS 35
  • Notification systems Asynchronous message queue HTTP protocol Publish/Subscribe pattern Examples:  Channel API  PubNub 36
  • Frameworks/SDKs37
  • Google AppEngine: What is it? Platform-as-a-Service Languages: Java and Python Create Web Applications Free (to start with)
  • 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 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
  • 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 Check it out: Free alternatives to deploy locally:   XMPP/Smack 45
  • PubNub 46
  • Multi cloud frameworks 47
  • Jclouds: Multi cloud library Services:  Computing Service  Blobstore service Language: Java Supports several cloud providers for Computing Utility and Storage
  • 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
  • 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
  • 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
  • References computing/ app-engine-for-a-week-longer-than-you-have 52
  • Thanks for yourattention!