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Amazon Web Services
(AWS)
Introduction
Amazon Web Services (AWS) is
Amazon’s cloud web hosting platform
that offers flexible, reliable, scalable,
easy-to-use, and cost-effective
solutions.
In 2006, Amazon Web Services (AWS)
started to offer IT services to the
market in the form of web services,
which is nowadays known as cloud
computing.
Basic Architecture
This is the basic structure of AWS
EC2, where EC2 stands for Elastic
Compute Cloud. EC2 allow users to
use virtual machines of different
configurations as per their
requirement. It allows various
configuration options, mapping of
individual server, various pricing
options, etc.
Amazon Computer
Service
AWS - Elastic Compute Cloud
Amazon EC2 (Elastic Compute Cloud) is a web service interface that provides resizable compute
capacity in the AWS cloud. It is designed for developers to have complete control over web-
scaling and computing resources.
EC2 Components:
Operating System Support Security
Pricing Fault Tolerance
Migration
Features of EC2: Reliable, Designed for Amazon Web Services, Secure, Flexible Tools,
Inexpensive
Amazon Web Services - Auto Scaling
Auto scaling allows you to scale your Amazon EC2
instances up or down automatically as per the
instructions set by the user.
Auto Scaling is particularly effective for those
applications that fluctuate on hourly, daily, or
weekly usage. AWS CloudWatch can be used to
measure CPU utilization, network traffic, etc.
Elastic Load Balancing (ELB) automatically
distributes incoming request traffic across multiple
Amazon EC2 instances and results in achieving
higher fault tolerance.
ELB consists of the following three
components:
•Load Balancer
•Control Service
•SSL Termination
Features of ELB
•ELS is designed to handle unlimited requests per second with gradually increasing load pattern.
•We can configure EC2 instances and load balancers to accept traffic.
•We can add/remove load balancers as per requirement without affecting the overall flow of
information.
•It is not designed to handle sudden increase in requests like online exams, online trading, etc.
•Customers can enable Elastic Load Balancing within a single Availability Zone or across multiple
zones for even more consistent application performance.
Amazon Web Services – WorkSpaces
Amazon WorkSpaces is a fully managed desktop computing service in the cloud that allows its
customers to provide cloud-based desktops to their end-users. Through this the end users can
access the documents, applications, and resources using devices of their choice such as laptops,
iPad, Kindle Fire, or Android tablets. This service was launched to meet its customers rising demand
for Cloud based 'Desktop as a Service' (DaaS).
Amazon Web Services – Lambda
AWS Lambda is a responsive cloud service that inspects actions within the application and responds
by deploying the user-defined codes, known as functions. It automatically manages the compute
resources across multiple availability zones and scales them when new actions are triggered.
Amazon Network
Services
Amazon Web Services - Virtual Private
Cloud
Amazon Virtual Private Cloud (VPC) allows the users to use AWS resources in a virtual network.
The users can customize their virtual networking environment as they like, such as selecting own
IP address range, creating subnets, and configuring route tables and network gateways.
List of AWS Services that can be used:
Amazon EC2 Amazon Route 53
Amazon WorkSpaces Auto Scaling
Elastic Load Balancing AWS Data Pipeline
Elastic Beanstalk Amazon Elastic Cache
Amazon EMR Amazon OpsWorks
Amazon RDS Amazon Redshift
Amazon Web Services - Route 53
Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. It
is designed for developers and corporates to route the end users to Internet applications by
translating human readable names like www.mydomain.com, into the numeric IP addresses
like 192.0.2.1 that computers use to connect to each other.
Amazon Web Services - Direct Connect
AWS Direct Connect permits to create a private network connection from our network to AWS
location. It uses 802.1q VLANs, which can be partitioned into multiple virtual interfaces to
access public resources using the same connection.
Amazon Storage
Services
Amazon Web Services - Amazon S3
Amazon S3 (Simple Storage Service) is a scalable, high-speed, low-cost web-based service designed
for online backup and archiving of data and application programs. It allows to upload, store, and
download any type of files up to 5 GB in size.
Amazon Web Services - Elastic Block Store
Amazon Elastic Block Store (EBS) is a block storage system used to store persistent data. Amazon
EBS is suitable for EC2 instances by providing highly available block level storage volumes. It has
three types of volume, i.e. General Purpose (SSD), Provisioned IOPS (SSD), and Magnetic. These
three volume types differ in performance, characteristics, and cost.
Amazon Web Services - Storage Gateway
AWS Storage Gateway provides
integration between the on-
premises IT environment and the
AWS storage infrastructure. The
user can store data in the AWS
cloud for scalable, data security
features and cost-efficient storage.
Amazon Web Services - CloudFront
CloudFront is a CDN (Content Delivery
Network). It retrieves data from Amazon S3
bucket and distributes it to multiple datacenter
locations. It delivers the data through a
network of data centers called edge locations.
The nearest edge location is routed when the
user requests for data, resulting in lowest
latency, low network traffic, fast access to
data, etc.
Amazon Database
Services
AWS - Relational Database Service
Amazon RDS (Relational Database Service) is a fully-managed SQL database cloud service that
allows to create and operate relational databases. Using RDS you can access your files and
database anywhere in a cost-effective and highly scalable way.
Features of Amazon RDS:
Scalable Host Replacement
Inexpensive Secure
Automatic Backups Software patching
Amazon Web Services – DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service that allows to create database tables
that can store and retrieve any amount of data. It automatically manages the data traffic of tables
over multiple servers and maintains performance.
Amazon Web Services – Redshift
Amazon Redshift is a fully managed data warehouse service in the cloud. Its datasets range from
100s of gigabytes to a petabyte. The initial process to create a data warehouse is to launch a set of
compute resources called nodes, which are organized into groups called cluster.
Amazon Analytical
Services
Aws- Amazon Web Services
Amazon Web Services – Kinesis
Amazon Kinesis is a managed, scalable, cloud-based service that allows real-time
processing of streaming large amount of data per second.
Amazon Web Services - Elastic MapReduce
Amazon Elastic MapReduce (EMR) is a web service that provides a managed framework
to run data processing frameworks such as Apache Hadoop, Apache Spark, and Presto in
an easy, cost-effective, and secure manner.
It is used for data analysis, web indexing, data warehousing, financial analysis, scientific
simulation, etc.
Amazon Web Services - Data Pipeline
AWS Data Pipeline is a web service, designed to make it easier for users to integrate data spread
across multiple AWS services and analyze it from a single location.
Using AWS Data Pipeline, data can be accessed from the source, processed, and then the results can
be efficiently transferred to the respective AWS services.
Amazon Web Services - Machine Learning
Amazon Machine Learning is a service that allows to develop predictive applications by using
algorithms, mathematical models based on the user’s data.
Amazon Machine Learning reads data through Amazon S3, Redshift and RDS, then visualizes the data
through the AWS Management Console and the Amazon Machine Learning API.
Amazon Application
Services
Aws- Amazon Web Services
AWS - Simple WorkFlow Service
Amazon Simple Workflow Service (SWF) is a task based API that makes it easy to coordinate work
across distributed application components. It provides a programming model and infrastructure for
coordinating distributed components and maintaining their execution state in a reliable way. Using
Amazon SWF, we can focus on building the aspects of the application that differentiates it.
Amazon Web Services – WorkMail
Amazon WorkMail was formerly known as Zocalo. It is a managed email and calendaring service that
runs in Cloud. It provides security controls and is designed to work with your existing PC and Mac-
based Outlook clients including the prepackaged Click-to-Run versions. It also works with mobile
clients that speak the Exchange ActiveSync protocol.
Reference
https://www.tutorialspoint.com/amazon_web_services/amazon_web_services_simple_workflo
w_service.htm
https://aws.amazon.com

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Aws- Amazon Web Services

  • 2. Introduction Amazon Web Services (AWS) is Amazon’s cloud web hosting platform that offers flexible, reliable, scalable, easy-to-use, and cost-effective solutions. In 2006, Amazon Web Services (AWS) started to offer IT services to the market in the form of web services, which is nowadays known as cloud computing.
  • 3. Basic Architecture This is the basic structure of AWS EC2, where EC2 stands for Elastic Compute Cloud. EC2 allow users to use virtual machines of different configurations as per their requirement. It allows various configuration options, mapping of individual server, various pricing options, etc.
  • 5. AWS - Elastic Compute Cloud Amazon EC2 (Elastic Compute Cloud) is a web service interface that provides resizable compute capacity in the AWS cloud. It is designed for developers to have complete control over web- scaling and computing resources. EC2 Components: Operating System Support Security Pricing Fault Tolerance Migration Features of EC2: Reliable, Designed for Amazon Web Services, Secure, Flexible Tools, Inexpensive
  • 6. Amazon Web Services - Auto Scaling Auto scaling allows you to scale your Amazon EC2 instances up or down automatically as per the instructions set by the user. Auto Scaling is particularly effective for those applications that fluctuate on hourly, daily, or weekly usage. AWS CloudWatch can be used to measure CPU utilization, network traffic, etc. Elastic Load Balancing (ELB) automatically distributes incoming request traffic across multiple Amazon EC2 instances and results in achieving higher fault tolerance.
  • 7. ELB consists of the following three components: •Load Balancer •Control Service •SSL Termination
  • 8. Features of ELB •ELS is designed to handle unlimited requests per second with gradually increasing load pattern. •We can configure EC2 instances and load balancers to accept traffic. •We can add/remove load balancers as per requirement without affecting the overall flow of information. •It is not designed to handle sudden increase in requests like online exams, online trading, etc. •Customers can enable Elastic Load Balancing within a single Availability Zone or across multiple zones for even more consistent application performance.
  • 9. Amazon Web Services – WorkSpaces Amazon WorkSpaces is a fully managed desktop computing service in the cloud that allows its customers to provide cloud-based desktops to their end-users. Through this the end users can access the documents, applications, and resources using devices of their choice such as laptops, iPad, Kindle Fire, or Android tablets. This service was launched to meet its customers rising demand for Cloud based 'Desktop as a Service' (DaaS). Amazon Web Services – Lambda AWS Lambda is a responsive cloud service that inspects actions within the application and responds by deploying the user-defined codes, known as functions. It automatically manages the compute resources across multiple availability zones and scales them when new actions are triggered.
  • 11. Amazon Web Services - Virtual Private Cloud Amazon Virtual Private Cloud (VPC) allows the users to use AWS resources in a virtual network. The users can customize their virtual networking environment as they like, such as selecting own IP address range, creating subnets, and configuring route tables and network gateways. List of AWS Services that can be used: Amazon EC2 Amazon Route 53 Amazon WorkSpaces Auto Scaling Elastic Load Balancing AWS Data Pipeline Elastic Beanstalk Amazon Elastic Cache Amazon EMR Amazon OpsWorks Amazon RDS Amazon Redshift
  • 12. Amazon Web Services - Route 53 Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. It is designed for developers and corporates to route the end users to Internet applications by translating human readable names like www.mydomain.com, into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Amazon Web Services - Direct Connect AWS Direct Connect permits to create a private network connection from our network to AWS location. It uses 802.1q VLANs, which can be partitioned into multiple virtual interfaces to access public resources using the same connection.
  • 14. Amazon Web Services - Amazon S3 Amazon S3 (Simple Storage Service) is a scalable, high-speed, low-cost web-based service designed for online backup and archiving of data and application programs. It allows to upload, store, and download any type of files up to 5 GB in size. Amazon Web Services - Elastic Block Store Amazon Elastic Block Store (EBS) is a block storage system used to store persistent data. Amazon EBS is suitable for EC2 instances by providing highly available block level storage volumes. It has three types of volume, i.e. General Purpose (SSD), Provisioned IOPS (SSD), and Magnetic. These three volume types differ in performance, characteristics, and cost.
  • 15. Amazon Web Services - Storage Gateway AWS Storage Gateway provides integration between the on- premises IT environment and the AWS storage infrastructure. The user can store data in the AWS cloud for scalable, data security features and cost-efficient storage.
  • 16. Amazon Web Services - CloudFront CloudFront is a CDN (Content Delivery Network). It retrieves data from Amazon S3 bucket and distributes it to multiple datacenter locations. It delivers the data through a network of data centers called edge locations. The nearest edge location is routed when the user requests for data, resulting in lowest latency, low network traffic, fast access to data, etc.
  • 18. AWS - Relational Database Service Amazon RDS (Relational Database Service) is a fully-managed SQL database cloud service that allows to create and operate relational databases. Using RDS you can access your files and database anywhere in a cost-effective and highly scalable way. Features of Amazon RDS: Scalable Host Replacement Inexpensive Secure Automatic Backups Software patching
  • 19. Amazon Web Services – DynamoDB Amazon DynamoDB is a fully managed NoSQL database service that allows to create database tables that can store and retrieve any amount of data. It automatically manages the data traffic of tables over multiple servers and maintains performance. Amazon Web Services – Redshift Amazon Redshift is a fully managed data warehouse service in the cloud. Its datasets range from 100s of gigabytes to a petabyte. The initial process to create a data warehouse is to launch a set of compute resources called nodes, which are organized into groups called cluster.
  • 22. Amazon Web Services – Kinesis Amazon Kinesis is a managed, scalable, cloud-based service that allows real-time processing of streaming large amount of data per second. Amazon Web Services - Elastic MapReduce Amazon Elastic MapReduce (EMR) is a web service that provides a managed framework to run data processing frameworks such as Apache Hadoop, Apache Spark, and Presto in an easy, cost-effective, and secure manner. It is used for data analysis, web indexing, data warehousing, financial analysis, scientific simulation, etc.
  • 23. Amazon Web Services - Data Pipeline AWS Data Pipeline is a web service, designed to make it easier for users to integrate data spread across multiple AWS services and analyze it from a single location. Using AWS Data Pipeline, data can be accessed from the source, processed, and then the results can be efficiently transferred to the respective AWS services. Amazon Web Services - Machine Learning Amazon Machine Learning is a service that allows to develop predictive applications by using algorithms, mathematical models based on the user’s data. Amazon Machine Learning reads data through Amazon S3, Redshift and RDS, then visualizes the data through the AWS Management Console and the Amazon Machine Learning API.
  • 26. AWS - Simple WorkFlow Service Amazon Simple Workflow Service (SWF) is a task based API that makes it easy to coordinate work across distributed application components. It provides a programming model and infrastructure for coordinating distributed components and maintaining their execution state in a reliable way. Using Amazon SWF, we can focus on building the aspects of the application that differentiates it. Amazon Web Services – WorkMail Amazon WorkMail was formerly known as Zocalo. It is a managed email and calendaring service that runs in Cloud. It provides security controls and is designed to work with your existing PC and Mac- based Outlook clients including the prepackaged Click-to-Run versions. It also works with mobile clients that speak the Exchange ActiveSync protocol.