This document provides an overview of Amazon Web Services (AWS) including key services like Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and Amazon Simple Queue Service (SQS). It describes how AWS services can be used to build scalable applications and discusses common concepts like virtual servers, storage options, and security configurations. Examples are given around hosting applications in AWS and using services like S3, EC2, and CloudFront for storage, compute, and content delivery needs.

1. AMAZON WEB SERVICES
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2. AN OVERVIEW OF AWS
 AWS is Amazon’s umbrella description of all
of their web-based technology services.
 Mainly infrastructure services:
◦ Amazon Elastic Compute Cloud (EC2)
◦ Amazon Simple Storage Service (S3)
◦ Amazon Simple Queue Service (SQS)
◦ Amazon CloudFront
◦ Amazon SimpleDB

3. GROWTH OF AWS
 AWS “Simple Queue Service” fosters ‘decoupled’ service oriented
architecture message passing
 “Developers can move data between distributed components of their applications that perform
different tasks, without loosing messages or requiring each component to be always available”
 S3 Storage, EC2 Compute, ELB Load Balancing, RDS Relational
Database, SimpleDB
Amazon S3
Growth
1.3 Trillion in
2013
DynanoDB
201
2
200
6

4. EXAMPLE APPLICATION HOSTING IN AWS

5. AWS FREE-TIER

6. FREE USAGE RESTRICTIONS

7. AMAZON EC2
 EC2 provides web services API for
provisioning, managing, and deprovioning
virtual servers inside amazon cloud.
 Applications anywhere on the Internet can
launch a virtual server in the amazon cloud
with a single web services call (either REST
or SOAP WS call)

8. STORAGE
 Instance –store : disappears with the
instance (transient)
 Block storage: SAN-like, persists across time
 S3 is independent of an instance: for archival
purposes: vault: store it now and retrieve it at
a later date
 Amazon: SimpleDB: Relational database
better than MySQl or Oracle for reliability.

9. AMAZON CLOUD-FRONT
 Cloud-based content distributing network
enables you to place the content at the
edges of the network for rapid delivery.
 Place the contents in S3 and run the
application from anywhere and the content is
moved to where the application is (to the
edges).

10. S3
 Amazon web services API support the ability to:
 Find buckets and objects
 Discover their meta data
 Create new buckets
 Upload new objects
 Delete existing buckets and objects
 When manipulating the buckets you can optionally specify
where they should be stored.
 Use REST API preferably something that abstracts out even
that: Jets3t; s3cmd (command line)
 BitTorrent access to S3 is also available

11. BUCKET NAMING
 Flat namespace
 Names may contain only lowercase letters,
numbers, periods, underscores, and dashes,
and must start with a number or letter
 Create your own namespace with your own
bcukets

12. EC2 CONCEPTS
 See figure 2.1
 Instance: virtual server running a guest os of
your choice
 AMI: Pristine image of your server so that
you can launch any number of instance from
this. Minimally machine image will operating
systems + pre-installed tools.
 Elastic IP address: Not static not dynamic but
elastic; an IP reserved for your use;
disappears once the server is terminated.

13. EC2 (CONTD.)
 Availability zone: Any two availability zones are
guaranteed to share any common points of failure (
US, EU, Asia/Pacific)
 Security group: define the firewall/security. Defines
what can talk to your instances. (Ex; http, and not
sftp etc.)
 Snap shot: You can take snapshots of block volume
(that can be formatted etc) and is stored in S3 for
later use or for rollback etc.
 What is the difference between instances and
machine images?

14. HOW TO ACCESS EC2?
 AWS console
 The ElasticFox firefox plugin
 The amazon command line tool

15. AWS PLATFORM EXAMPLE DEPLOYMENT

16. TYPICAL USE IN AN ORGANIZATION
 Maintain a library of AMIs for the business
 May contain legacy systems or company-specific
systems
 Harden AMIs using such software as Bastille
 Launch instances for non-technical but domain
experts to work with.
 What will you provide them so that they can start
working?
 Use S3 for archival storage and shared storage

17. AWS EXECUTION ENVIRONMENT
 Private AMI: Images created by you, which are private by default; you can grant
access to other users to launch your private images
 Private AMI: Images created by users and released to the community, so
anyone can launch instances based on them and use them any way they like
 Paid AMI: You can create images providing specific functions that can be
launched by anyone willing to pay you per each hour of usage on top of AWS
charges
Virtualization Layer
Compute Storage Server
Public
AMIs
Private
AMIs
Paid
AMIs
· Elastic IP address
· Elastic Block Store
Amazon Machine Image
Create
an AMI
Create
Key Pair
Configure
Firewall
Launch

18. LAB STEPS
 Lab – AWS Account Setup, Services Overview,
Resource Discovery, and Instance Setup
 Purpose of the Lab
 Understand definitions of various Amazon Web Services
(AWS) and their use in cloud computing based web
applications that are accessible over the Internet through
an AWS account
 Use the AWS account for the discovery, reservation and
access of virtual compute/storage infrastructure instances
Amazon
Web
Services
AWS
Architecture
AWS
Account
Creation
Add AWS
Education Credit
for $100
Launch
instance
SSH to
instanc
e