Introduction to Cloud Computing

Cloud ComputingPython Based Scalable Cloud Application Development (GAE/ Amazon EC2/ Windows Azure)

By Chathuranga BandaraSoftware Engineer99X Technology

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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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> on-demand network

> shared pool of configurable computing resources

> rapidly provisioned and released with minimal management

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Myths & Facts

Myths

> Cloud Computing will eliminate the need for IT Infrastructure personnel

> Cloud Computing will eliminate IT expense

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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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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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Features?

> Scalability> Performance> Reliability> Uptime> Security> Maintenance > Service Based Model

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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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Different Providers for each?

> IaaS –

> PaaS –

> SaaS -

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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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Benefit Public PrivateIllusion 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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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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When to Use Cloud Computing?

> On-demand

> Scalability

> Performance

> High multi tenancy

> Vendor Specific Features

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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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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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Concerns in Cloud Computing

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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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Windows Azure

PaaS

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Amazon Web Services

IaaS

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Amazon EC2 Features

> Amazon Elastic Block store> Multiple Locations> Amazon Cloud Watch> Auto scaling> Elastic Load Balancing

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Amazon EC2 Usage

> Create Machine Image> Build application on top of the EC2 instance> Create multiple instances

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Google Apps

SaaS

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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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Google App Engine

PaaS

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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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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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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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Demo – Python/ Google App Engine

Using Linux based machine (Windows is easier)

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Demo Agenda

> Part One - “Hello World” in GAE

> Part Two - Application development in GAE

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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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Lets do some coding..

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Q & A*

* Refer Google for any Question I fail to answer!

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www.99xtechnology.com

Thank You!

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