HANDS-ON WITH AMAZON

WEB SERVICES (AWS)

8-Dec-2012

Pavan Verma

Founder, P3 InfoTech Solutions Pvt. Ltd.

Consulting, Training, and Software Development in Cloud Computing, Web Apps and Mobile Apps

http://p3infotech.in, pavan@p3infotech.in

LinkedIn: http://in.linkedin.com/in/pavanv0

Workshop Agenda

•Part 1 – Introductory DiscussionTea Break

•Part 2 – Hands on sessionLunch Break

•Part 3 – Discussion on more AWS

servicesTea Break

•Part 4 – Hands on session

•Part 5 – Closing discussion

HANDS-ON WITH AMAZON WEB

SERVICES (AWS)

PART 1 – INTRODUCTORY

DISCUSSION

Session Agenda

• Introductions

• Workshop Objectives

• What is Cloud Computing

• What is AWS

• Core AWS Services

Introductions

• About me

• About you

Workshop Objectives

• Understand fundamental concepts of Cloud

Computing and AWS

• Understand the core AWS services

• Get hands-on experience with core AWS

services

• Learn by doing!

Utility Computing

• A business model for on-demand delivery

of computing power

• Consumers pay providers based on usage

(“pay-as-you-go”)

• Similar to the way we pay for traditional

public utility services such as water,

electricity, gas, and telephony

Cloud Computing

• Cloud computing is the use of computing

resources (hardware and software) that are

delivered as a service over a network

(typically the Internet) as a Utility

Cloud Computing

• Cloud computing is the use of computing

resources (hardware and software) that are

delivered as a service over a network

(typically the Internet) as a Utility

Cloud Computing Companies (2)

Cloud Computing Companies (3)

Different Cloud models

• IaaS – Infrastructure as a Service

• PaaS – Platform as a Service

• SaaS – Software as a Service

Application Stack

Hardware

Operating System

Systems Software

(Database, Web Server)

Application

Different Cloud models

PaaS

Application

SaaS

IaaS

Database,

Web Server

Application

Hardware

Operating

System

Database, Web

Server

Application

Building Blocks of Cloud

• Internet bandwidth/latency

• Server Virtualization

• Storage Virtualization

Amazon Web Services (AWS)

• AWS is a global scale Cloud Computing provider

that provides computing resources as a utility

• AWS is primarily an IaaS provider

• AWS offers a self-service model where anyone

with a reasonable amount of technical expertise

can build there own datacenter using AWS

AWS (2)

• Biggest Cloud Computing provider today

• Estimates guess that AWS share in Cloud

Computing market is more than 60%-70%

• The scale allows AWS to:

• Innovate faster

• Offer lower prices

AWS (3)

• The Cloud Computing concept is not new

• The key reason why Cloud Computing and

AWS are so relevant today is: the global scale

at which AWS is operating

• This global scale has been enabled by:

• Ability to operate at a global scale – Technology

and Operations

• Economics of Cloud Computing – Business Model

Exercise 1

• Let’s say we need to run 10 computing

systems (plus, of course, the storage,

networking, database, etc. required to

make use these systems)

• List down all the items against which we

will incur cost

Exercise 1 – My List

• Hardware – compute, storage, network

• Systems software – OS, Storage, Networking,

Database

• Power

• Cooling

• Systems administrator

• Network administrator

• Database administrator

Exercise 2

• Same as previous exerciseJ but now

consider that you did not need all the 10

systems from the beginning.

• You can start with 1 system and add more

as the demand increases

Cloud Computing

• Pay a standard fee for the computing

resource

• This fee covers everything required for it –

hardware, software, people, power, etc.

Economics of Cloud Computing

• Pay for what you use

• ZERO upfront fees

• ZERO minimum usage

• ZERO monthly usage commitment

• This applies to ALL AWS services

Exercise 3

• Consider that you are building some. For

example:

• Application to manage recruiting for a company

• Application to connect with your friends

• What type of application will you build?

• Desktop app

• Mobile app

• SaaS

Application Trends and Cloud

Computing

• Many new applications are being written using

a pure SaaS or hybrid SaaS model

• Where are these SaaS applications are

hosted?

• The trend towards SaaS makes Cloud

Computing very relevant – not only as a SaaS

model but also PaaS and IaaS models

AWS CONCEPTS AND

SERVICES

AWS Concepts

• Regions

• 9 regions worldwide

• US – N. Virginia, Oregon, N. California

• Europe – Ireland

• Asia – Singapore, Tokyo

• South America – São Paulo

• Australia – Sydney

• All regions have the same pricing modelsJ

but the price varies according to region

AWS Concepts (2)

• Availability Zones (AZ)

• Availability Zones are distinct locations that are

engineered to be insulated from failures in other

Availability Zones and provide inexpensive, low

latency network connectivity to other Availability

Zones in the same Region

• Each AZ is an independent datacenter

AWS Concepts (3)

Elastic Compute Cloud – EC2

• EC2 is one of the core AWS services

• Provides compute capacity as Virtual Machines

(VMs)

• Can create, terminate new machines with ease

• At time of EC2 instance creation, can choose

the operating system or use an existing image

EC2

• Compute capacity is measured in terms of

EC2 Compute Units (ECUs)

• One ECU provides the equivalent CPU

capacity of a 1.0-1.2 GHz 2007 Opteron or

2007 Xeon processor

• EC2 uses Xen virtualization

EC2 Instance Types

• EC2 instances come in pre-defined

resource configurations

• Several Instance types

• http://aws.amazon.com/ec2/instance-types/

EC2 Instance Types

Type Name CPU Units CPU Cores Memory

T1 Micro t1.micro Up to 2 ECUs 1 Core 613 MiB

M1 Small m1.small 1 ECU 1 Core 1.7 GiB

M1 Medium m1.medium 2 ECUs 1 Core 3.7 GiB

M1 Large m1.large 4 ECUs 2 Cores 7.5 GiB

M1 Extra Large m1.xlarge 8 ECUs 4 Cores 15 GiB

M3 Extra Large m3.xlarge 13 ECUs 4 Cores 15 GiB

M3 Double Extra Large m3.2xlarge 26 ECUs 8 Cores 30 GiB

M2 High-Memory Extra Large m2.xlarge 6.5 ECUs 2 Cores 17.1 GiB

M2 High-Memory Double Extra Large m2.2xlarge 13 ECUs 4 Cores 34.2 GiB

M2 High-Memory Quadruple Extra Large m2.4xlarge 26 ECUs 8 Cores 68.4 GiB

C1 High-CPU Medium c1.medium 5 ECUs 2 Cores 1.7 GiB

C1 High-CPU Extra Large c1.xlarge 20 ECUs 8 Cores 7 GiB

High I/O Quadruple Extra Large hi1.4xlarge 35 ECUs 8 Cores 60.5 GiB