Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Introduction to Cloud Computing (New)
1. Cloud Computing
Python Based Scalable Cloud Application Development
(GAE/ Amazon EC2/ Windows Azure)
By Chathuranga Bandara & Kalanamith Mannapperuma
99X Technology
2.
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
4. > on-demand network
> shared pool of configurable computing resources
> rapidly provisioned and released with minimal management
5. Myths & Facts
> Myths
> Cloud Computing will eliminate the need for IT Infrastructure
personnel
> Cloud Computing will eliminate IT expense
>
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
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
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)
12. 12
BaaS (Not the Mason!)
> Backend as a Service
> Although similar to other cloud-computing developer tools,
such as software as a service (SaaS), infrastructure as a
service (IaaS), and platform as a service (PaaS), BaaS is
distinct from these other services in that it specifically
addresses the cloud-computing needs of web and mobile
app developers by providing a unified means of connecting
their apps to cloud services
13. 13
BaaS (Cont..)
> Among the most common services provided are push
notifications, file storage and sharing, integration with
social networks such as Facebook and Twitter, location
services, messaging and chat functions, user
management, running business logic, and usage
analysis tools
> Popular BaaS:
> Built.io - Free since its Beta (with 1mil API Calls)
> Kinvey - Free plan available
> Backendless - Free plan available
15. 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 data centers) 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
16. 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
17. 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.
18.
19. When to Use Cloud Computing?
> On-demand
> Scalability
> Performance
> High multi tenancy
> Vendor Specific Features
20. 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 pre-certified software deployment
platforms
21. 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!!
23. 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.
37. 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
38. 38
Datastore
> Based on BigTable, distributed column-store
• Entities and multi-valued properties
• Entities have unique key & a type (kind)
• Flexible schema
• Queries by GQL
39. 39
AppScale
> Platform that allows users to host their own Google App
Engine application in their own host (ex: Amazon EC2)
> Supports Python, Java, Go (no PHP support yet)
> https://github.com/AppScale/appscale
40. 40
Mobile Backends
> Recently App Engine has Introduced Mobile Backends
> Currently Supports for Android
> Looking forward to IOS
44. Demo – Python/ Google App Engine
Using Linux based machine (Windows is easier)
45. Demo Agenda
> Part One - “Hello World” in GAE
> Part Two - Application development in GAE
46. 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 serve one or
two clients in the business.