Nice!

1. Cloud Computing
Platform as a Service (PaaS)
Gerardo Martinez Gil
Copyright © 2009 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.

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4. Session Structure
• Introduction
• What is Cloud Computing…?
• Uses of Cloud Computing
• Platform as a Service (PaaS)
• Current Service Providers
• Google App Engine for Java
• Practical case
• Q&A
Copyright © 2009 Accenture All Rights Reserved. 4

5. Introduction
• Cloud computing has become the cornerstone of
efficient use of resources in a computer center
through “virtualization.”
• This allows for a minimal cost for the client who
uses this shared resources.
• The advantage of the use of the resources in “the
cloud” is that it can scale to millions of users
without needing to know exactly how it’s delivered
to the final user.

6. Cloud Computing
• According to Wikipedia, the term cloud computing
refers to the following:
“…the provision of dynamically scalable and often
virtualized resources as a service over the Internet
on a utility basis…”
“Cloud computing services often provide common
business applications online that are accessed
from a web browser, while the software and data
are stored on the servers.”

7. Cloud Computing

8. Cloud Computing Characteristics
• Agility
• Cost effective
• Device and location independence
• Multi-tenancy
• Reliable
• Scalable
• Secure

9. Uses of Cloud Computing
• The primary use of “the cloud” is to provide
services, application, and storage without the need
of knowledge or expertise from the client side.
• Getting the almost infinite resources from the cloud
service providers you can scale your application or
storage for a minimum price and using their large
network capacity.
• Saving energy by making use of all of the hardware
all of the time, instead of only using it fractions of
time, while using the same amount of energy.

10. Uses of Cloud Computing
• You can create a variety of applications running
from Web 2.0 sites, programs processing millions
of documents, applications calculating the human
genome, indexing millions of pages, etc. Running
in the cloud, all of these are scalable at a minimum
cost.

11. Platform as a Service
• According to Wikipedia, the term platform as a
service refers to the following:
“…the delivery of a computing platform and solution
stack as a service. It facilitates deployment of
applications without the cost and complexity of
buying and managing the underlying hardware and
software layers…”
“providing all of the facilities required to support the
complete life cycle of building and delivering web
applications and services entirely available from the
Internet.”

12. Platform as a Service
• Facilitates the use of resources in the cloud to
create applications that can scale and uses the
platform and languages provided by the PaaS.
• The most common languages used by cloud
services are the following:
– Java
– Python
– Ruby
– PHP

13. Platform as a Service
• One of the main characteristics of PaaS providers
is the isolation of the underlying OS and even the
language in the same platform.
• You don’t have access to all the inners of the
platform where it’s running the application.
• You only need to focus on the development of the
application, with obvious restrictions / features
provided by the platform.
• The load balance, clustering, distribution and use of
the memory / cache are provided from the cloud.

14. Platform as a Service
Characteristics
• IDE integrated
• Web-based interface
• Multi-tenant architecture
• Support for web services and databases

15. Types of Platform as a Service
• Add-on development facilities
• Stand-alone development environments
• Application delivery-only environments

16. Service Providers
• Google
• Amazon
• Microsoft
• Salesforce
• Zoho

17. Particularities of PaaS
• Advantages
– Reduced costs (development, maintenance, etc.)
– Scalable
– Reliable
• Disadvantages
– Proprietary platform

18. Google App Engine
• Let’s you run web applications from Google’s
infrastructure.
• You can use Python or Java languages to create
these web applications.
• Provides database, memcache, url fetch, mail,
image manipulation and scheduler services right
out from the box.
• Also provides plugins for the mainstream IDE’s for
development and deployment of services in the
cloud.

19. Google App Engine installation
• Sign in for an account in
http://appengine.google.com using your gmail
account.

20. Google App Engine installation
• Create an application from the administration
console

21. Google App Engine installation
• Create an application from the administration
console (contd.)

22. Google App Engine installation
• Create an application from the administration
console (contd.)

23. Google App Engine installation
• Download Google’s SDK for App Engine in Eclipse

24. Google App Engine installation
Select proper SDK

25. Google App Engine development
• Once installed, create a new web application
selecting the blue Google icon on Eclipse

26. Google App Engine development
• Give it a name and a package and deselect the
“Use Google Web Toolkit” option.

27. Google App Engine development
• The project created presents this structure.

28. Google App Engine development
• The plugin creates a simple java Servlet with a
“Hello World” message that we can run locally just
by selecting “Run” from the context menu.

29. Google App Engine development
• Once the servlet is running, we open the browser
on http://localhost:8080/ and we get the page just
created.

30. Google App Engine deployment
• Now we can deploy our application to the cloud so
that anybody can access it, first we select the
“airplane” icon on Eclipse.

31. Google App Engine deployment
• Then we fill in the registration form...
But it’s missing some data, so we click on “App
Engine project settings…” to fill in the ID

32. Google App Engine deployment
• We fill in the Application ID with the name that we
gave when we first created the application on the
Google site.

33. Google App Engine deployment
• This will deploy our application in the cloud in the
Google Servers.

34. Google App Engine deployment
• A picture with the results.

35. Practical case
• Now we are able to create a more sophisticated
application in Google App Engine.
• Lets create a simple exercise using the services
from Google…

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