Introduction to Cloud Computing, Amazon EC2, Windows Azure and Google App Engine

1. Cloud Computing
Python Based Scalable Cloud Application Development
(GAE/ Amazon EC2/ Windows Azure)
By Chathuranga Bandara
Software Engineer
99X Technology
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3. Introduction to Cloud Computing
“ Cloud computing is a model for enabling ubiquitous,
convenient, on-demand network access to a shared pool
of configurable computing resources (e.g., networks,
servers, storage, applications, and services) that can be
rapidly provisioned and released with minimal
management effort or service provider interaction“ - NIST
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4. > on-demand network
> shared pool of configurable computing resources
> rapidly provisioned and released with minimal management
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5. Myths & Facts
Myths
> Cloud Computing will eliminate the need for IT Infrastructure
personnel
> Cloud Computing will eliminate IT expense
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6. Myths & Facts (cont..)
Facts
> This technology should not be ignored
> Cloud technology is real
> This presentation will assist you in understanding “The
Cloud” :P
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7. Real Facts
> It is not Network Computing –
> Application and Data are not confined to any specific
Company’s Server
> Encompasses multiple companies, multiple servers and
multiple networks
> It is not Traditional Outsourcing
> Not a contract to host data by 3rdparty Hosting Business
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8. Features?
> Scalability
> Performance
> Reliability
> Uptime
> Security
> Maintenance
> Service Based Model
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11. Three Types?
> IaaS – (Infrastructure as a Service) – the consumer uses
"fundamental resources" such as processing power, storage,
networking components or middleware. The consumer can control
the operating system, storage, applications and possibly
networking
> PaaS – (Platform as a Service) - the consumer uses a hosting
environment for their applications and has control over the
applications (and some control over the hosting environment), but
does not control the infrastructure on which they are running
> SaaS – (Software as a Service) - the consumer uses an
application, but does not control the infrastructure on which it's
running (OS, hardware)
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12. Different Providers for each?
> IaaS –
> PaaS –
> SaaS -
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13. Other Type Definitions?
> Public Cloud: a public cloud consists of a service or set of
services that are purchased by a business or organization and
delivered via the Internet by a third-party provider. These
services use storage capacity and processor power that is not
owned by the business itself. Instead, this capacity (in the form of
servers and datacenters) can be owned either by the primary
vendor (e.g. an online storage/backup company) or by a cloud
infrastructure vendor.
> Private Cloud: A private cloud is essentially an extension of an
enterprise's traditional datacenter that is optimized to provide
storage capacity and processor power for a variety of functions.
“Private” refers more to the fact that this type of platform is a
non-shared resource than to any security advantage
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14. Benefit Public Private
Illusion of infinite
resources on-demand Yes Unlikely
Elimination of up-front
commitment by users Yes No
True pay-as-you-go on
short-term basis Yes No
Economy of scale
Yes No
Better utilization &
simplified operations
through virtualization
Yes Yes
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15. Private + Public = Hybrid
> A hybrid cloud is a composition of at least one private cloud and
at least one public cloud. A hybrid cloud is typically offered in one
of two ways: a vendor has a private cloud and forms a
partnership with a public cloud provider, or a public cloud
provider forms a partnership with a vendor that provides private
cloud platforms.
Ex: For example, an organization might use a public cloud service,
such as Amazon Simple Storage Service (Amazon S3) for
archived data but continue to maintain in-house storage for
operational customer data.
Ideally, the hybrid approach allows a business to take advantage of
the scalability and cost-effectiveness that a public cloud computing
environment offers without exposing mission-critical applications
and data to third-party vulnerabilities.
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17. When to Use Cloud Computing?
> On-demand
> Scalability
> Performance
> High multi tenancy
> Vendor Specific Features
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18. Examples
> Provide data management and analytical capabilities to
public
> Provision on-demand IT infrastructure for new projects
> Provide agile high capacity computing
> Provide on-demand online productivity tools
> Provide secure and precertified software deployment
platforms
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19. Things to keep in mind when Cloud Computing
> Always try to give all most all the client side doable stuff to be done in
the client side
> Do your database design very well. Make sure to eliminate data
redundancy
> Always use Open Standards (REST)
> Always keep up-to date and try to take advantage of technologies like
NoSQL /MapReduce
> Think of Backup plans (Multi Region Instances, Regular Backups,
Vendor specific backup solutions)
> Think Like an Engineer/ Software Architect or at least hire one!!
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20. Concerns in Cloud Computing
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21. Security, Security and Security!
> Why Security an Issue?
> Shared Resources
> Your data at their premises
> Not everyone is ethical
> What we can do?
> Read the cloud vendor’s Privacy Policy and Terms &
Conditions
> Go for IaaS when ever its possible
There will be a Risk in Cloud Computing anyways.
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22. Windows Azure
PaaS
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25. Amazon Web Services
IaaS
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27. Amazon EC2 Features
> Amazon Elastic Block store
> Multiple Locations
> Amazon Cloud Watch
> Auto scaling
> Elastic Load Balancing
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28. Amazon EC2 Usage
> Create Machine Image
> Build application on top of the EC2 instance
> Create multiple instances
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30. Google Apps
SaaS
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31. 31
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32. Different APIs available
> Application APIs
> Calendar API, Gmail API, Drive API, Sites API, Spreadsheets
API
> Auth APIs
> OpenID API
> Domain Admin APIs
> Audit APIs
> Email Settings API
> Reporting API
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33. Google App Engine
PaaS
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34. 34
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35. Development Google App Engine
> Write your web program in Python or VM based technologies
including JAVA/ PHP and GO and submit to Google. It will take
care of the rest (is that good or bad?)
How to use?
> Download App Engine SDK
> Develop your program locally
> A set of python programs, input = requested url, output = return
message
> Debug locally
> Register for an application id
> Submit your application to Google
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36. Datastore
> Based
on
BigTable,
distributed
column-­‐store
• En$$es
and
mul$-­‐valued
proper$es
• En$$es
have
unique key &
a
type
(kind)
• Flexible
schema
• Queries
by
GQL
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37. AppScale
> Platform that allows users to host their own Google App
Engine application in their own hot (ex: Amazon EC2)
> Supports Python, Java, Go (no PHP support yet)
> https://github.com/AppScale/appscale
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38. Demo – Python/ Google App Engine
Using Linux based machine (Windows is easier)
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39. Demo Agenda
> Part One - “Hello World” in GAE
> Part Two - Application development in GAE
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40. Which App you think Most Suitable for the Cloud?
> Engine where any List (integers/ strings) will be given by the
client and the server (cloud application) will compute and
send back the sorted List
> Guestbook which millions of people going to use and will
grow, where it will keep the comments of each guest, either
as Anonymous or Email Verified user
> Web based system which will display the list of Items/
Inventory to the client computer. This will only server one or
two clients in the business.
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41. Lets do some coding..
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42. Q & A*
* Refer Google for any Question I fail to answer!
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43. www.99xtechnology.com
Thank You!
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