Aws seminar report

SEMINAR REPORT
on
AMAZON WEB SERVICE
As a partial fullﬁlment of B.Tech degree
In computer science And Engineering
By
Rahul kumar
12150055
Under the guidance of
Ms.NEETHU S KUMAR
Division of Computer Science and Engineering
SOE,CUSAT
September 2017
1

Division of Computer Engineering
School of Engineering
Cochin University of Science & Technology
Kochi - 682022
CERTIFICATE
Certified that this is a Bonafide Record of the Seminar titled
AMAZON WEB SERVICE
Presented by
RAHUL KUMAR (12150055)
of VII semester Computer Science & Engineering in the year 2017 in partial ful-
filment of the requirements for the award of Degree of Bachelor of Tecnology in Com-
puter Science & Engineering of Cochin University of Science & Technology.
Mr. V. Damodaran Mr. Pramod Pavithran Ms. Neethu S Kumar
Head of the Division Coordinator Seminar Guide

ACKNOWLEDGEMENT
It is my proud privilege and duty to acknowledge the kind of help and guid-
ance received from several people in presentation of the seminar and preparation
of this report. It would not have been possible to present the seminar and report
in this form without their valuable help, cooperation and guidance.
I am extremely grateful to,Mr.Damodharan, Head of Division of Com-
puter Science and Engineering, as well as our class coordinator,for the guidance
and encouragement and for providing me with best facilities and atmosphere
for the creative work. I would like to thank my seminar guide, Ms.NEETHU
S KUMAR , Division of Computer Science and Engineering, for the valuable
guidance, care and timely support throughout the seminar work. She has al-
ways a constant source of encouragement. I would like to thank my family and
friends for their encouragement, which helped me to keep my spirit alive and to
complete this work successfully.
Last but not the least, I thank God Almighty, without whom nothing is
possible.
Thanking you,
Rahul Kumar
3

ABSTRACT
Cloud Computing is a recently emerged model which is becoming popu-
lar among almost all enterprises. It involves the concept of on demand services
which means using the cloud resources on demand and we can scale the resources
as per demand. Cloud computing undoubtedly provides unending benefits and
is a cost effective model. The major concern in this model is Security in cloud.
This is the reason of many enterprises of not preferring the cloud computing.
This paper provides the review of security research in the field of cloud se-
curity. After security research we have presented the working of AWS (Amazon
Web Service) cloud computing. AWS is the most trusted provider of cloud com-
puting which not only provides the excellent cloud security but also provides
excellent cloud services.
The main aim of this paper is to make cloud computing security as a core
operation and not an add-on operation.
.
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Contents
1 INTRODUCTION 8
1.1 OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.2 PURPOSE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2 WHY USE AWS 10
2.1 FLEXIBLE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.2 COST-EFFECTIVE . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.3 SCALABLE AND ELASTIC . . . . . . . . . . . . . . . . . . . . 11
2.4 SECURE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.5 EXPERIENCED . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
3 HISTORY 14
4 SERVICES OF AWS 15
4.1 Amazon Web Services Cloud Platform . . . . . . . . . . . . . . . 15
4.2 COMPUTE NETWORKING . . . . . . . . . . . . . . . . . . . . 16
4.2.1 Amazon Elastic Compute Cloud (Amazon EC2) . . . . . 16
4.2.2 Auto Scaling . . . . . . . . . . . . . . . . . . . . . . . . . 16
4.2.3 Elastic Load Balancing . . . . . . . . . . . . . . . . . . . 17
4.2.4 Amazon Workspaces . . . . . . . . . . . . . . . . . . . . . 18
4.2.5 Amazon Virtual Private Cloud (Amazon VPC) . . . . . . 18
4.2.6 Amazon Route 53 . . . . . . . . . . . . . . . . . . . . . . 19
4.2.7 AWS Direct Connect . . . . . . . . . . . . . . . . . . . . . 20
4.3 STORAGE CONTENT DELIVERY NETWORK . . . . . . . . 20
4.3.1 Amazon Simple Storage Service (Amazon S3) . . . . . . . 20
4.3.2 Amazon Glacier . . . . . . . . . . . . . . . . . . . . . . . 22
4.3.3 Amazon Elastic Block Storage (EBS) . . . . . . . . . . . 23
4.3.4 AWS Storage Gateway . . . . . . . . . . . . . . . . . . . . 23
4.4 DATABASE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4.4.1 Amazon Relational Database Service (Amazon RDS) . . . 24
4.4.2 Amazon DynamoDB . . . . . . . . . . . . . . . . . . . . . 25
4.4.3 Amazon ElastiCache . . . . . . . . . . . . . . . . . . . . . 25
4.4.4 Amazon Redshift . . . . . . . . . . . . . . . . . . . . . . . 26
4.5 ANALYTICS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
4.5.1 Amazon Elastic MapReduce (Amazon EMR) . . . . . . . 27
4.5.2 AWS Data Pipeline . . . . . . . . . . . . . . . . . . . . . 28
4.6 Amazon AppStream . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.6.1 Amazon Elastic Transcoder . . . . . . . . . . . . . . . . . 29
5 WORKING OF AWS 30
5.1 HOW DOES AWS WORK . . . . . . . . . . . . . . . . . . . . . 30
5.1.1 Updating a Stack with Change Sets . . . . . . . . . . . . 31
5

6 ADVANTAGES AND DISADVANTAGES 33
6.1 APPLICATIONS/ADVANTAGES . . . . . . . . . . . . . . . . . 33
6.2 LIMITATIONS/DISADVANTAGES . . . . . . . . . . . . . . . . 33
7 CONCLUSION 34
8 REFERENCES 35
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List of Figures
1 Amazon web service cloud platform . . . . . . . . . . . . . . . . . 15
2 Amazon EC2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
3 EC2 Auto Scaling . . . . . . . . . . . . . . . . . . . . . . . . . . 17
4 EC2 Elastic Load Balancing . . . . . . . . . . . . . . . . . . . . . 17
5 Amazon Workspace . . . . . . . . . . . . . . . . . . . . . . . . . . 18
6 Amazon Virtual Private Cloud (Amazon VPC) . . . . . . . . . . 19
7 Amazon Route 53 . . . . . . . . . . . . . . . . . . . . . . . . . . 19
8 AWS Direct Connect . . . . . . . . . . . . . . . . . . . . . . . . . 20
9 STORAGE CONTENT DELIVERY NETWORK . . . . . . . . 21
10 Amazon Simple Storage Service (Amazon S3 . . . . . . . . . . . 21
11 Amazon Glacier . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
12 Amazon Elastic Block Storage(EBS) . . . . . . . . . . . . . . . . 23
13 AWS Storage Gateway . . . . . . . . . . . . . . . . . . . . . . . . 24
14 AWS RDS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
15 amazon DynamoDB . . . . . . . . . . . . . . . . . . . . . . . . . 25
16 Amazon Elasticcache . . . . . . . . . . . . . . . . . . . . . . . . . 26
17 Amazon redshift . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
18 Amazon Elastic Mapreduce . . . . . . . . . . . . . . . . . . . . . 27
19 Amazon Data Pipeline . . . . . . . . . . . . . . . . . . . . . . . . 28
20 Amazon Appstream . . . . . . . . . . . . . . . . . . . . . . . . . 29
21 Amazon Elastic Transcoder . . . . . . . . . . . . . . . . . . . . . 29
22 Working of AWS . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
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Amazon Web Service
CHAPTER 1
1 INTRODUCTION
1.1 OVERVIEW
Amazon has a long history of using a decentralized IT infrastructure. This arrange-
ment enabled our development teams to access compute and storage resources on
demand, and it has increased overall productivity and agility. By 2005, Amazon had
spent over a decade and millions of dollars building and managing the large-scale, reli-
able, and efficient IT infrastructure that powered one of the worlds largest online retail
platforms. Amazon launched Amazon Web Services (AWS) so that other organiza-
tions could benefit from Amazons experience and investment in running a large-scale
distributed, transactional IT infrastructure. AWS has been operating since 2006, and
today serves hundreds of thousands of customers worldwide. Today Amazon.com runs
a global web platform serving millions of customers and managing billions of dollars
worth of commerce every year. Using AWS, you can requisition compute power, stor-
age, and other services in minutes and have the flexibility to choose the development
platform or programming model that makes the most sense for the problems theyre
trying to solve. You pay only for what you use, with no up-front expenses or long-term
commitments, making AWS a cost-effective way to deliver applications.
Here are some of examples of how organizations, from research firms to large enter-
prises, use AWS today:
A large enterprise quickly and economically deploys new internal applications, such as
HR solutions, payroll applications, inventory management solutions, and online train-
ing to its distributed workforce.
An e-commerce website accommodates sudden demand for a hot product caused by
viral buzz from Facebook and Twitter without having to upgrade its infrastructure. A
pharmaceutical research firm executes large-scale simulations using computing power
provided by AWS.
Media companies serve unlimited video, music, and other media to their worldwide
customer base.
1.2 PURPOSE
AWS offers low, pay-as-you-go pricing with no up-front expenses or long-termcommitments.
We are able to build and manage a global infrastructure at scale, and pass the cost
saving benefits onto you in the form of lower prices.
With the efficiencies of our scale and expertise, we have been able to lower our prices
on 15 different occasions over the past four years. AWS provides a massive global
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cloud infrastructure that allows you to quickly innovate,experiment and iterate.
Instead of waiting weeks or months for hardware, you can instantly deploy new appli-
cations, instantly scale up as your workload grows, and instantly scale down based on
demand. Whether you need one virtual server or thousands, whether you need them
for a few hours or 24/7, you still only pay for what you use.
AWS is a language and operating system agnostic platform. You choose the develop-
ment platform or programming model that makes the most sense for your business.
You can choose which services you use, one or several, and choose how you use them.
This ﬂexibility allows you to focus on innovation, not infrastructure.
AWS is a secure, durable technology platform with industry-recognized certiﬁcations
and audits: PCI DSS Level 1, ISO 27001, FISMA Moderate, FedRAMP, HIPAA, and
SOC 1(formerly referred to as SAS 70 and/or SSAE 16) and SOC 2 audit reports. Our
services and data centers have multiple layers of operational and physical security to
ensure the integrity and safety of your data.
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CHAPTER 2
2 WHY USE AWS
AWS is readily distinguished from other vendors in the traditional IT computing land-
scape because it is:
1. Flexible: AWS enables organizations to use the programming models, operating
systems, databases, and architectures with which they are already familiar. In addi-
tion, this flexibility helps organizations mix and match architectures in order to serve
their diverse business needs.
2. Cost-effective: With AWS, organizations pay only for what they use, without
up-front or long-term commitments.
3.Scalable and elastic: Organizations can quickly add and subtract AWS resources
to their applications in order to meet customer demand and manage costs.
4.Secure: In order to provide end-to-end security and end-to-end privacy, AWS
builds services in accordance with security best practices, provides the appropriate
security features in those services, and documents how to use those features.
5.Experienced: When using AWS, organizations can leverage Amazons more than
fifteen years of experience delivering large-scale, global infrastructure in a reliable,
secure fashion.
2.1 FLEXIBLE
The first key difference between AWS and other IT models is flexibility. Using tradi-
tional models to deliver IT solutions often requires large investments in new architec-
tures, programming languages, and operating systems. Although these investments
are valuable, the time that it takes to adapt to new technologies can also slow down
your business and prevent you from quickly responding to changing markets and op-
portunities. When the opportunity to innovate arises, you want to be able to move
quickly and not always have to support legacy infrastructure and applications or deal
with protracted procurement processes.
In contrast, the flexibility of AWS allows you to keep the programming models, lan-
guages, and operating systems that you are already using or choose others that are
better suited for their project. You dont have to learn new skills. Flexibility means
that migrating legacy applications to the cloud is easy and cost-effective. Instead of
re-writing applications, you can easily move them to the AWS cloud and tap into
advanced computing capabilities. Building applications on AWS is very much like
building applications using existing hardware resources. Since AWS provides a flex-
ible, virtual IT infrastructure, you can use the services together as a platform or
separately for specific needs. AWS run almost anythingfrom full web applications to
batch processing to offsite data back-ups.
In addition, you can move existing SOA-based solutions to the cloud by migrating
discrete components of legacy applications. Typically, these components benefit from
high availability and scalability, or they are self-contained applications with few inter-
nal dependencies. Larger organizations typically run in a hybrid mode where pieces
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of the application run in their data center and other portions run in the cloud. Once
these organizations gain experience with the cloud, they begin transitioning more of
their projects to the cloud, and they begin to appreciate many of the benefits outlined
in this document. Ultimately, many organizations see the unique advantages of the
cloud and AWS and make it a permanent part of their IT mix.
Finally, AWS provides you flexibility when provisioning new services. Instead of the
weeks and months it takes to plan, budget, procure, set up, deploy, operate, and
hire for a new project, you can simply sign up for AWS and immediately begin de-
ployment on the cloud the equivalent of 1, 10, 100, or 1,000 servers. Whether you
want to prototype an application or host a production solution, AWS makes it simple
for you to get started and be productive. Many customers find the flexibility of AWS
to be a great asset in improving time to market and overall organizational productivity.
2.2 COST-EFFECTIVE
Cost is one of the most complex elements of delivering contemporary IT solutions
the cloud provides an on-demand IT infrastructure that lets you consume only the
amount of resources that you actually need
You are not limited to a set amount of storage, bandwidth, or computing resources.
It is often difficult to predict requirements for these resources. As a result, you might
provision too few resources, which has an impact on customer satisfaction, or you
might provide too many resources and miss an opportunity to maximize return on
investment (ROI) through full utilization. The cloud provides the flexibility to strike
the right balance. AWS requires no up-front investment, long-term commitment, or
minimum spend. You can get started through a completely self-service experience on-
line, scale up and down as needed, and terminate your relationship with AWS at any
time. You can access new resources almost instantly. The ability to respond quickly to
changes, no matter how large or small, means that you can take on new opportunities
and meet business challenges that could drive revenue and reduce costs.If you want to
consult with AWS for deeper technical discussions, our sales and solutionsarchitecture
teams are available.
2.3 SCALABLE AND ELASTIC
In the traditional IT organization, scalability and elasticity were often equated with
investment and infrastructure.
In the cloud, scalability and elasticity provide opportunity for savings and improved
ROI. AWS uses the term elastic to describe the ability to scale computing resources
up and down easily, with minimal friction. Elasticity helps you avoid provisioning
resources up front for projects with variable consumption rates or short lifetimes. In-
stead of acquiring hardware, setting it up, and maintaining it in order to allocate
resources to your applications,
you use AWS to allocate resources using simple API calls. The AWS cloud is also a
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useful resource for implementing short-term jobs, mission-critical jobs, and jobs re-
peated at regular intervals. For example, when a pharmaceutical company needs to
run drug simulations (a short-term job), it can use AWS to spin up resources in the
cloud, and then shut them down when it no longer needs additional resources. When
an enterprise has to quickly deal with the effects of natural disaster on its data cen-
ter (a missioncritical job), it can use AWS to tap into new storage and computing
resources to accommodate demand. Furthermore, AWS can preserve computing re-
sources and reduce costs for regularly repeated tasks, such as month-end payroll or
invoice processing.//
2.4 SECURE
AWS delivers a scalable cloud-computing platform that provides customers with endto-
end security and end-to-end privacy.
AWS builds security into its services in accordance with security best practices, and
documents how to use the security features. It is important that you leverage AWS
security features and best practices to design an appropriately secure application en-
vironment.
Ensuring the confidentiality, integrity, and availability of your data is of the utmost
importance to AWS, as is maintaining your trust and confidence. AWS takes the fol-
lowing approaches to secure the cloud infrastructure: Certifications and accreditations.
AWS has in the past successfully completed multiple SAS70 Type II audits, and now
publishes a Service Organization Controls 1 (SOC 1) report, published under both the
SSAE 16 and the ISAE 3402 professional standards. In addition to the SOC 1 report,
AWS publishes a Service Organization Controls 2 (SOC 2), Type II report. Similar to
the SOC 1 in the evaluation of controls, the SOC 2 report is an attestation report that
expands the evaluation of controls to the criteria set forth by the American Institute of
Certified Public Accountants (AICPA) Trust Services Principles. Additionally, AWS
publishes a Service Organization Controls 3 (SOC 3) report . The SOC 3 report is
a publically-available summary of the AWS SOC 2 report and provides the AICPA
SysTrust
Physical security. Amazon has many years of experience designing, constructing, and
operating large-scale data centers. The AWS infrastructure is located in Amazon-
controlled data centers throughout the world. Knowledge of the location of the data
centers is limited to those within Amazon who have a legitimate business reasons for
this information. The data centers are physically secured in a variety of ways to prevent
unauthorized access. Secure services. Each service in the AWS cloud is architected
to be secure. The services contain a number of capabilities that restrict unauthorized
access or usage without sacrificing the flexibility that customers demand.
Data privacy. You can encrypt personal and business data in the AWS cloud, and
publish backup and redundancy procedures for services so that your customers can
protect their data and keep their applications running.
Data privacy. You can encrypt personal and business data in the AWS cloud, and
publish backup and redundancy procedures for services so that your customers can
protect their data and keep their applications running.
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2.5 EXPERIENCED
AWS provides a low-friction path to cloud computing by design. Nevertheless, as with
any IT project, the move to the AWS cloud should be done thoughtfully. You should
hold your cloud-computing partner to the same high standards that you would expect
of any hardware or software vendor. The trust that you place in your cloud-computing
vendor will be critical as your organization grows and your customers continue to ex-
pect the best experience. The AWS cloud provides levels of scale, security, reliability,
and privacy that are often costprohibitive for many organizations to meet or exceed.
AWS has built an infrastructure based on lessons learned from over sixteen years
experience managing the multi-billion dollar Amazon.com business. AWS customers
benefit as Amazon continues to hone its infrastructure management skills and capa-
bilities. Today Amazon.com runs a global web platform serving millions of customers
and managing billions of dollars worth of commerce every year. AWS has been op-
erating since 2006, and today serves hundreds of thousands of customers worldwide.
Moreover, AWS has a demonstrated track record of listening to its customers and
delivering highly innovative new features at a rapid pace. These new releases have the
same high standards of security and reliability that are demonstrated in all existing
AWS infrastructure services. AMAZON WEB SERVICE Page 9 Officially launched in
2006, Amazon Web Services provides online services for other web sites or client-side
applications. Most of these services are not exposed directly to end users, but instead
offer functionality that other developers can use in their applications. Amazon Web
Services offerings are accessed over HTTP, using the REST architectural style and
SOAP protocol. All services are billed based on usage, but how usage is measured for
billing varies from service to service. In late 2003, Chris Pinkham and Benjamin Black
presented a paper describing a vision for Amazon’s retail computing infrastructure
that was completely standardized, completely automated, and would rely extensively
on web services for services such as storage, drawing on internal work already under-
way. Near the end they mentioned the possibility of selling virtual servers as a service,
proposing the company could generate revenue from the new infrastructure invest-
ment. The first AWS service launched for public usage was Simple Queue Service in
November 2004. Amazon EC2 was built by a team in Cape Town, South Africa, under
Pinkham and lead developer Chris Brown. In June 2007, Amazon claimed that more
than 180,000 developers had signed up to use Amazon Web Services. In November
2010, it was reported that all of Amazon.com retail web services had been moved to
AWS. On April 20, 2011, some parts of Amazon
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Amazon Web Service
CHAPTER 3
3 HISTORY
Officially launched in 2006, Amazon Web Services provides online services for other
web sites or client-side applications. Most of these services are not exposed directly
to end users, but instead offer functionality that other developers can use in their ap-
plications. Amazon Web Services offerings are accessed over HTTP, using the REST
architectural style and SOAP protocol. All services are billed based on usage, but how
usage is measured for billing varies from service to service. In late 2003, Chris Pinkham
and Benjamin Black presented a paper describing a vision for Amazon’s retail com-
puting infrastructure that was completely standardized, completely automated, and
would rely extensively on web services for services such as storage, drawing on inter-
nal work already underway. Near the end they mentioned the possibility of selling
virtual servers as a service, proposing the company could generate revenue from the
new infrastructure investment. The first AWS service launched for public usage was
Simple Queue Service in November 2004. Amazon EC2 was built by a team in Cape
Town, South Africa, under Pinkham and lead developer Chris Brown. In June 2007,
Amazon claimed that more than 180,000 developers had signed up to use Amazon
Web Services. In November 2010, it was reported that all of Amazon.com retail web
services had been moved to AWS. On April 20, 2011, some parts of Amazon Web
Services suffered a major outage. A portion of volumes using the Elastic Block Store
(EBS) service became ”stuck” and were unable to fulfill read/write requests. It took
at least two days for service to be fully restored. On June 29, 2012, several websites
that rely on Amazon Web Services were taken offline due to a severe storm of historic
proportions in Northern Virginia, where AWS’ largest datacentre cluster is located.
On October 22, 2012, a major outage occurred, affecting many sites such as Reddit,
Foursquare, Pinterest, and others. The cause was a latent memory leak bug in an op-
erational data collection agent. On December 24, 2012, AWS suffered another outage,
causing websites such as Netflix instant video to be unavailable for customers in the
Northeastern United States. AWS later issued a statement detailing the issues with
the Elastic Load Balancing service that led up to the outage. In November 2012, AWS
hosted its first customer event in Las Vegas. On April 30, 2013, AWS began offering
a certification program for computer engineers with expertise in cloud
In 2015, Gartner estimated that AWS customers are deploying 10x more infrastruc-
tures on AWS than the combined adoption of the next 14 providers. During the 2015
re:Invent keynote, AWS disclosed that they have more than a million active customers
every month in 190 countries, including nearly 2,000 government agencies, 5,000 ed-
ucation institutions and more than 17,500 nonprofits. AWS adoption has increased
since launch in 2006. Customers include NASA, the Obama Campaign, Pinterest,
Kempinski Hotels, Netflix, Infor, the CIA. AWS Distinguished Engineer James Hamil-
ton has also provided a timeline of AWS’ 10 year history.
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Amazon Web Service
CHAPTER 4
4 SERVICES OF AWS
4.1 Amazon Web Services Cloud Platform
AWS is a comprehensive cloud services platform that offers compute power, storage,
content delivery, and other functionality that organizations can use to deploy appli-
cations and services costeffectively with flexibility, scalability, and reliability. AWS
self-service means that you can proactively address your internal plans and react to
external demands when you choose.
Figure 1: Amazon web service cloud platform
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Amazon Web Service
4.2 COMPUTE NETWORKING
4.2.1 Amazon Elastic Compute Cloud (Amazon EC2)
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resiz-
able compute capacity in the cloud. It is designed to make web-scale computing easier
for developers and system administrators. Amazon EC2s simple web service interface
allows you to obtain and conﬁgure capacity with minimal friction. It provides you with
complete control of your computing resources and lets you run on Amazons proven
computing environment. Amazon EC2 reduces the time required to obtain and boot
new server instances to minutes, allowing you to quickly scale capacity, both up and
down, as your computing requirements change. Amazon EC2 changes the economics
of computing by allowing you to pay only for capacity that you actually use. Amazon
EC2 provides developers and system administrators the tools to build failure resilient
applications and isolate themselves from common failure scenarios.
Figure 2: Amazon EC2
4.2.2 Auto Scaling
Auto Scaling allows you to scale your Amazon EC2 capacity up or down automati-
cally according to conditions you deﬁne. With Auto Scaling, you can ensure that the
number of Amazon EC2 instances youre using increases seamlessly during demand
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spikes to maintain performance, and decreases automatically during demand lulls to
minimize costs. Auto Scaling is particularly well suited for applications that experi-
ence hourly, daily, or weekly variability in usage. Auto Scaling is enabled by Amazon
CloudWatch and available at no additional charge beyond Amazon CloudWatch fees.
Figure 3: EC2 Auto Scaling
4.2.3 Elastic Load Balancing
Elastic Load Balancing automatically distributes incoming application traffic across
multiple Amazon EC2 instances. It enables you to achieve even greater fault toler-
ance in your applications, seamlessly providing the amount of load balancing capacity
needed in response to incoming application traffic. Elastic Load Balancing detects
unhealthy instances and automatically reroutes traffic to healthy instances until the
unhealthy instances have been restored. Customers can enable Elastic Load Balanc-
ing within a single Availability Zone or across multiple zones for even more consistent
application performance.
Figure 4: EC2 Elastic Load Balancing
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4.2.4 Amazon Workspaces
Amazon WorkSpaces is a fully managed desktop computing service in the cloud. Ama-
zon WorkSpaces allows customers to easily provision cloud-based desktops that allow
end-users to access the documents, applications and resources they need with the de-
vice of their choice, including laptops, iPad, Kindle Fire, or Android tablets. With a
few clicks in the AWS Management Console, customers can provision a high-quality
desktop experience for any number of users at a cost that is highly competitive with
traditional desktops and half the cost of most virtual desktop infrastructure (VDI)
solutions.
Figure 5: Amazon Workspace
4.2.5 Amazon Virtual Private Cloud (Amazon VPC)
Amazon Virtual Private Cloud lets you provision a logically isolated section of the
Amazon Web Services (AWS) Cloud where you can launch AWS resources in a virtual
network that you define. You have complete control over your virtual networking en-
vironment, including selection of your own IP address range, creation of subnets, and
configuration of route tables and network gateways. You can easily customize the net-
work configuration for your Amazon VPC. For example, you can create a public-facing
subnet for your webservers that has access to the Internet, and place your backend
systems such as databases or application servers in a private-facing subnet with no
Internet access. You can leverage multiple layers of security (including security groups
and network access control lists) to help control access to Amazon EC2 instances in
each subnet. Additionally, you can create a hardware virtual private network (VPN)
connection between your corporate data center and your VPC and leverage the AWS
cloud as an extension of your corporate data center.
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Figure 6: Amazon Virtual Private Cloud (Amazon VPC)
4.2.6 Amazon Route 53
Amazon Route 53 is a highly available and scalable Domain Name System (DNS)
web service. It is designed to give developers and businesses an extremely reliable
and costeffective way to route end users to Internet applications by translating human
readable names, such as www.example.com, into the numeric IP addresses, such as
192.0.2.1, that computersuse to connect to each other. Route 53 effectively connects
user requests to infrastructure running in AWS, such as an EC2 instance, an elastic
load balancer, or an Amazon S3 bucket. Route 53 can also be used to route users to
infrastructure outside of AWS. Amazon Route 53 is designed to be fast, easy to use,
and cost effective. It answers DNS queries with low latency by using a global net-
work of DNS servers. Queries for your domain are automatically routed to the nearest
DNS server, and thus are answered with the best possible performance. With Route
53, you can create and manage your public DNS records with the AWS Management
Console or with an easy-to-use API. Its also integrated with other Amazon Web Ser-
vices. For instance, by using the AWS Identity and Access Management (IAM) service
with Route 53, you can control who in your organization can make changes to your
DNS records. Like other Amazon Web Services, there are no longterm contracts or
minimum usage requirements for using Route 53you pay only for managing domains
through the service and the number of queries that the service answers.
Figure 7: Amazon Route 53
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4.2.7 AWS Direct Connect
AWS Direct Connect makes it easy to establish a dedicated network connection from
your premises to AWS. Using AWS Direct Connect, you can establish private connec-
tivity between AWS and your data center, office, or co-location environment, which
in many cases can reduce your network costs, increase bandwidth throughput, and
provide a more consistent network experience than Internet-based connections. AWS
Direct Connect lets you establish a dedicated network connection between your net-
work and one of the AWS Direct Connect locations. Using industry standard 802.1Q
virtual LANS (VLANs), this dedicated connection can be partitioned into multiple log-
ical connections. This allows you to use the same connection to access public resources
such as objects stored in Amazon S3 using public IP address space, and private re-
sources such as Amazon EC2 instances running within an Amazon VPC using private
IP space, while maintaining network separation between the public and private envi-
ronments. Logical connections can be reconfigured at any time to meet your changing
needs.
Figure 8: AWS Direct Connect
4.3 STORAGE CONTENT DELIVERY NETWORK
4.3.1 Amazon Simple Storage Service (Amazon S3)
Amazon S3 is storage for the Internet. It is designed to make web-scale computing
easier for developers. Amazon S3 provides a simple web services interface that can
be used to store and retrieve any amount of data, at any time, from anywhere on the
web. The container for objects stored in Amazon S3 is called an Amazon S3 bucket.
Amazon S3 gives any developer access to the same highly scalable, reliable, secure,
fast, inexpensive infrastructure that Amazon uses to run its own global network of
websites. The service aims to maximize benefits of scale and to pass those benefits on
to developers.
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Figure 9: STORAGE CONTENT DELIVERY NETWORK
Figure 10: Amazon Simple Storage Service (Amazon S3
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4.3.2 Amazon Glacier
Amazon Glacier is an extremely low-cost storage service that provides secure and
durable storage for data archiving and backup. In order to keep costs low, Amazon
Glacier is optimized for data that is infrequently accessed and for which retrieval times
of several hours are suitable. With Amazon Glacier, customers can reliably store large
or small amounts of data for as little as dollar 0.01 per gigabyte per month, a sig-
niﬁcant savings compared to onpremises solutions. Companies typically over-pay for
data archiving. First, they’re forced to make an expensive upfront payment for their
archiving solution (which does not include the ongoing cost for operational expenses
such as power, facilities, staﬃng, and maintenance). Second, since companies have to
guess what their capacity requirements will be, they understandably overprovision to
make sure they have enough capacity for data redundancy and unexpected growth.
This set of circumstances results in under-utilized capacity and wasted money. With
Amazon Glacier, you pay only for what you use. Amazon Glacier changes the game
for data archiving and backup because you pay nothing up front, pay a very low price
for storage, and can scale your usage up or down as needed, while AWS handles all of
the operational heavy lifting required to do data retention well. It only takes a few
clicks in the AWS Management Console to set up Amazon Glacier, and then you can
upload any amount of data you choose.
Figure 11: Amazon Glacier
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4.3.3 Amazon Elastic Block Storage (EBS)
Amazon Elastic Block Store (EBS) provides block level storage volumes for use with
Amazon EC2 instances. Amazon EBS volumes are network-attached, and persist
independently from the life of an instance. Amazon EBS provides highly available,
highly reliable, predictable storage volumes that can be attached to a running Amazon
EC2 instance and exposed as a device within the instance. Amazon EBS is particularly
suited for applications that require a database, file system, or access to raw block level
storage.
Figure 12: Amazon Elastic Block Storage(EBS)
4.3.4 AWS Storage Gateway
AWS Storage Gateway is a service connecting an on-premises software appliance with
cloud-based storage to provide seamless and secure integration between an organiza-
tions on-premises IT environment and AWSs storage infrastructure. The service en-
ables you to securely upload data to the AWS cloud for cost-effective backup and rapid
disaster recovery. AWS Storage Gateway supports industry-standard storage proto-
cols that work with your existing applications. It provides low-latency performance
by maintaining data on your on-premises storage hardware while asynchronously up-
loading this data to AWS, where it is encrypted and securely stored in Amazon Simple
Storage Service (Amazon S3) or Amazon Glacier. Using AWS Storage Gateway, you
can back up point-in-time snapshots of your onpremises application data to Amazon
S3 for future recovery. In the event you need replacement capacity for disaster recovery
purposes, or if you want to leverage Amazon EC2s on-demand compute capacity for
additional capacity during peak periods, for new projects, or as a more cost-effective
way to run your normal workloads, you can use AWS Storage Gateway to mirror your
on-premises data to Amazon EC2 instances.
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Figure 13: AWS Storage Gateway
4.4 DATABASE
4.4.1 Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS) is a web service that makes it
easy to set up, operate, and scale a relational database in the cloud. It provides
cost-efficient and resizable capacity while managing time-consuming database admin-
istration tasks, freeing you up to focus on your applications and business. Amazon
RDS gives you access to the capabilities of a familiar MySQL, Oracle, SQL Server or
PostgreSQL database. This means that the code, applications, and tools you already
use today with your existing databases can be used with Amazon RDS. Amazon RDS
automatically patches the database software and backs up your database, storing the
backups for a retention period that you define and enabling point-in-time recovery.
You benefit from the flexibility of being able to scale the compute resources or storage
capacity associated with your relational database instance by using a single API call.
In addition, Amazon RDS makes it easy to use replication to enhance availability and
reliability for production databases and to scale out beyond the capacity of a single
database deployment for read-heavy database workloads..
Figure 14: AWS RDS
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4.4.2 Amazon DynamoDB
Amazon DynamoDB is a fast, fully managed NoSQL database service that makes it
simple and cost-effective to store and retrieve any amount of data, and serve any level
of request traffic. All data items are stored on Solid State Drives (SSDs), and are
replicated across 3 Availability Zones for high availability and durability. With Dy-
namoDB, you can offload the administrative burden of operating and scaling a highly
available distributed database cluster, while paying a low price for only what you use
Amazon DynamoDB is designed to address the core problems of database manage-
ment, performance, scalability, and reliability. Developers can create a database table
that can store and retrieve any amount of data, and serve any level of request traffic.
DynamoDB automatically spreads the data and traffic for the table over a sufficient
number of servers to handle the request capacity specified by the customer and the
amount of data stored, while maintaining consistent, fast performance. All data items
are stored on solid state drives (SSDs) and are automatically replicated across multiple
Availability Zones in a Region to provide built-in high availability and data durability.
Amazon DynamoDB enables customers to offload the administrative burden of oper-
ating and scaling a highly available, distributed database cluster while only paying a
low variable price for the resources they consume.
Figure 15: amazon DynamoDB
4.4.3 Amazon ElastiCache
Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale
an in-memory cache in the cloud. The service improves the performance of web ap-
plications by allowing you to retrieve information from a fast, managed, in-memory
caching system, instead of relying entirely on slower disk-based databases. ElastiCache
supports two opensource caching engines
memcached- a widely adopted memory object caching system. ElastiCache is protocol
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Figure 16: Amazon Elasticcache
compliant with Memcached, so popular tools that you use today with existing Mem-
cached environments will work seamlessly with the service.
Redis a popular open-source in-memory key-value store that supports data structures
such as sorted sets and lists. ElastiCache supports Redis master / slave replication
which can be used to achieve cross AZ redundancy. Amazon ElastiCache automatically
detects and replaces failed nodes, reducing the overhead associated with self-managed
infrastructures and provides a resilient system that mitigates the risk of overloaded
databases, which slow website and application load times. Through integration with
Amazon CloudWatch, Amazon ElastiCache provides enhanced visibility into key per-
formance metrics associated with your Memcached or Redis nodes.
4.4.4 Amazon Redshift
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that
makes it simple and cost-effective to efficiently analyze all your data using your exist-
ing business intelligence tools.
It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or
more and costs less than dollar 1,000 per terabyte per year, a tenth the cost of most
traditional data warehousing solutions. Amazon Redshift delivers fast query and I/O
performance for virtually any size dataset by using columnar storage technology and
parallelizing and distributing queries across multiple nodes.
Weve made Amazon Redshift easy to use by automating most of the common admin-
istrative tasks associated with provisioning, configuring, monitoring, backing up, and
securing a data warehouse. Powerful security functionality is built-in.
Amazon Redshift supports Amazon VPC out of the box and you can encrypt all your
data and backups with just a few clicks. Once youve provisioned your cluster, you can
connect to it and start loading data and running queries using the same SQL-based
tools you use today.
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Figure 17: Amazon redshift
4.5 ANALYTICS
4.5.1 Amazon Elastic MapReduce (Amazon EMR)
Amazon Elastic MapReduce (Amazon EMR is a web service that makes it easy to
quickly and cost-effectively process vast amounts of data. Amazon EMR uses Hadoop,
an open source framework, to distribute your data and processing across a resizable
cluster of Amazon EC2 instances. Amazon EMR is used in a variety of applications,
including log analysis, web indexing, data warehousing, machine learning, financial
analysis, scientific simulation, and bioinformatics. Customers launch millions of Ama-
zon EMR clusters every year.
Figure 18: Amazon Elastic Mapreduce
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4.5.2 AWS Data Pipeline
AWS Data Pipeline is a web service that helps you reliably process and move data be-
tween different AWS compute and storage services as well as on-premise data sources
at specified intervals. With AWS Data Pipeline, you can regularly access your data
where its stored, transform and process it at scale, and efficiently transfer the results
to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Ama-
zon Elastic MapReduce (EMR).
Figure 19: Amazon Data Pipeline
AWS Data Pipeline helps you easily create complex data processing workloads that are
fault tolerant, repeatable, and highly available. You dont have to worry about ensur-
ing resource availability, managing inter-task dependencies, retrying transient failures
or timeouts in individual tasks, or creating a failure notification system. AWS Data
Pipeline also allows you to move and process data that was previously locked up in
on-premise data silos.
4.6 Amazon AppStream
Amazon AppStream is a flexible, low-latency service that lets you stream resource
intensive applications and games from the cloud. It deploys and renders your applica-
tion on AWS infrastructure and streams the output to mass-market devices, such as
personal computers, tablets, and mobile phones. Because your application is running
in the cloud, it can scale to handle vast computational and storage needs, regardless
of the devices your customers are using. You can choose to stream either all or parts
of your application from the cloud. Amazon AppStream enables use cases for games
and applications that wouldnt be possible running natively on mass-market devices.
Using Amazon AppStream, your games and applications are no longer constrained
by the hardware in your customers hands. Amazon AppStream includes a SDK that
currently supports streaming applications from Microsoft Windows Server 2008 R2 to
devices running FireOS, Android, iOS, and Microsoft Windows. A Mac OS X SDK is
planned for 2014.
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Figure 20: Amazon Appstream
4.6.1 Amazon Elastic Transcoder
Amazon Elastic Transcoder is media transcoding in the cloud. It is designed to be
a highly scalable, easy to use and a cost eﬀective way for developers and businesses
to convert (or transcode) media ﬁles from their source format into versions that will
playback on devices like smartphones, tablets and PCs.
Amazon Elastic Transcoder manages all aspects of the transcoding process for you
transparently and automatically. Theres no need to administer software, scale hard-
ware, tune performance, or otherwise manage transcoding infrastructure. You simply
create a transcoding job specifying the location of your source video and how you want
it transcoded. Amazon Elastic Transcoder also provides transcoding presets for pop-
ular output formats, which means that you dont need to guess about which settings
work best on particular devices. All these features are available via service APIs and
the AWS Management Console.
Figure 21: Amazon Elastic Transcoder
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CHAPTER 5
5 WORKING OF AWS
5.1 HOW DOES AWS WORK
When you create a stack, AWS CloudFormation makes underlying service calls to AWS
to provision and configure your resources. Note that AWS CloudFormation can per-
form only actions that you have permission to do. For example, to create EC2 instances
by using AWS CloudFormation, you need permissions to create instances. You’ll need
similar permissions to terminate instances when you delete stacks with instances. You
use AWS Identity and Access Management (IAM) to manage permissions. The calls
that AWS CloudFormation makes are all declared by your template. For example,
suppose you have a template that describes an EC instance with a t1.micro instance
type. When you use that template to create a stack, AWS CloudFormation calls the
Amazon EC2 create instance API and specifies the instance type as t1.micro. The
following diagram summarizes the AWS CloudFormation workflow for creating stacks.
Figure 22: Working of AWS
1. You can design an AWS CloudFormation template (a JSON-formatted docu-
ment) in AWS CloudFormation Designer or write one in a text editor. You can also
choose to use a provided template. The template describes the resources you want
and their settings. For example, suppose you want to create an EC2 instance. Your
template can declare an EC2 instance and describe. 2. Save the template locally or
in an S3 bucket. If you created a template, save it withany file extension like .json or
.txt..
3. Create an AWS CloudFormation stack by specifying the location of your template
file , such as a path on your local computer or an Amazon S3 URL. If the template
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contains parameters, you can specify input values when you create the stack. Pa-
rameters enable you to pass in values to your template so that you can customize
your resources each time you create a stack. You can create stacks by using the AWS
CloudFormation console, API, or AWS CLI. Note:- If you specify a template file stored
locally, AWS CloudFormation uploads it to an S3 bucket in your AWS account. AWS
CloudFormation creates a bucket for each region in which you upload a template file.
The buckets are accessible to anyone with Amazon Simple Storage Service (Amazon
S3) permissions in your AWS account. If a bucket created by AWS CloudFormation is
already present, the template is added to that bucket. You can use your own bucket
and manage its permissions by manually uploading templates to Amazon S3. Then
whenever you create or update a stack, specify the Amazon S3 URL of a template
file. AWS CloudFormation provisions and configures resources by making calls to the
AWS services that are described in your template.
After all the resources have been created, AWS CloudFormation reports that your
stack has been created. You can then start using the resources in your stack. If stack
creation fails, AWS CloudFormation rolls back your changes by deleting the resources
that it created.
5.1.1 Updating a Stack with Change Sets
When you need to update your stack’s resources, you can modify the stack’s template.
You don’t need to create a new stack and delete the old one. To update a stack,
create a change set by submitting a modified version of the original stack template,
different input parameter values, or both. AWS CloudFormation compares the mod-
ified template with the original template and generates a change set. The change set
lists the proposed changes. After reviewing the changes, you can execute the change
set to update your stack or you can create a new change set. The following diagram
summarizes the workflow for updating a stack.
Imortant
Updates can cause interruptions. Depending on the resource and properties that
you are updating, an update might interrupt or even replace an existing resource. For
more information, see AWS CloudFormation Stacks Updates.
1. You can modify an AWS CloudFormation stack template by using AWS CloudFor-
mation Designer or a text editor. For example, if you want to change the instance
type for an EC2 instance, you would change the value of the InstanceType property
in the original stack’s template.
For more information, see Modifying a Stack Template.
2. Save the AWS CloudFormation template locally or in an S3 bucket.
3. Create a change set by specifying the stack that you want to update and the loca-
tion of the modified template, such as a path on your local computer or an Amazon S3
URL. If the template contains parameters, you can specify values when you create the
change set. For more information about creating change sets, see the section called
Updating Stacks Using Change Sets. Note If you specify a template that is stored on
your local computer, AWS CloudFormation automatically uploads your template to
an S3 bucket in your AWS account.
4. View the change set to check that AWS CloudFormation will perform the changes
that you expect. For example, check whether AWS CloudFormation will replace any
critical stack resources. You can create as many change sets as you need until you
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have included the changes that you want.
Important Change sets don’t indicate whether your stack update will be successful.
For example, a change set doesn’t check if you will surpass an account limit, if you’re
updating a resource that doesn’t support updates, or if you have suﬃcient permissions
to modify a resource, all of which can cause a stack update to fail.
5. Execute the change set that you want to apply to your stack. AWS CloudFormation
updates your stack by updating only the resources that you modiﬁed and signals that
your stack has been successfully updated. If the stack updates fails, AWS CloudFor-
mation rolls back changes to restore the stack to the last known working state.
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CHAPTER 6
6 ADVANTAGES AND DISADVANTAGES
6.1 APPLICATIONS/ADVANTAGES
Easy to use Flexible Cost-eﬀective Reliable Secure Scalable High Performance
6.2 LIMITATIONS/DISADVANTAGES
Should have account with amazon. Should be connected with internet. Only works
on computers
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CHAPTER 7
7 CONCLUSION
Amazon web service provides a lot of services which we can use connect with internet
and use cloud storage. In other words we can say that if we havent webservices then
we never go out of our computer and we cant use anything.
Amazon provides us services at very low cost. In aws we only pay for what and how
much long time we use service. When we use aws services then we found Less error
Fastest work speed Easy usability
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CHAPTER 8
8 REFERENCES
1. https://aws.amazon.com/about-aws/
2. https://aws.amazon.com/what-is-aws/
3. https://aws.amazon.com/what-is-cloud-computing/?nc2=hl2cc
4.https : //aws.amazon.com/types − of − cloud − computing/
5.https : //aws.amazon.com/governmenteducation/?nc2 = hqlnylivestreamblu
6.https : //aws.amazon.com/documentation/
7.https : //en.wikipedia.org/wiki/AmazonW ebServices
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