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Amazon Web Services (AWS)

Posted on October 24, 2022 by

Categories: AWS


Amazon’s cloud computing platform, AWS (Amazon Web Services), is extensive and constantly expanding. It combines infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and packaged software-as-a-service (SaaS) products. An enterprise may benefit from AWS services by receiving resources like computing power, database storage, and content delivery services.

The internal infrastructure that constructed to conduct its online retail activities served as the foundation for the initial web services that Web Services offered in 2002. It started providing its specific IaaS services in 2006. One of the first businesses to provide a pay-as-you-go cloud computing model that grows to meet users’ demands for computation, storage, or throughput was Amazon Web Services (AWS).

For businesses and software developers, AWS provides a wide range of tools and solutions that may be utilized in data centers in as many as 190 nations. AWS services are available to organizations, including governmental bodies, academic institutions, nonprofits, and for-profit businesses.

How AWS operates

AWS is divided into many services, each of which may be customized based on the user’s requirements. Users may view individual server maps and configuration parameters for an AWS service.

The AWS portfolio includes more than 200 services, such as those computing, databases, managing infrastructure, developing applications, and security. These services fall under the following categories:


AWS operates dozens of data centers dispersed throughout 87 availability zones (AZs) in different geographical areas. A zone with several actual data centers is known as an AZ. A region is a group of close-by AZs connected by low-latency network connections.

For several factors, including compliance, proximity to end users, and availability optimization, a firm may select one or more AZs. For instance, an AWS client may create virtual machines (VMs) and replicate data across several availability zones (AZs) to create a highly dependable cloud architecture resilient to server or data center outages.

Amazon Elastic Computational Cloud (EC2) offers virtual servers, often called EC2 instances, for computing power. Numerous instance kinds with various capabilities and sizes are available through the EC2 service. These are designed for particular applications and workload types, such as memory-intensive and accelerated computing tasks. Auto Scaling, a utility to dynamically scale capacity to maintain instance health and performance, is also available from AWS.


Scalable object storage is offered by Amazon Simple Storage Service (S3) for data backup, collection, and analytics. An IT expert organizes data and files by storing them as S3 objects, which may be up to five gigabytes in size, within S3 buckets. A company can save money by employing Amazon Glacier for long-term cold storage or S3’s Infrequent Access storage class.

When utilizing EC2 instances, Amazon Elastic Block Store offers block-level storage volumes for permanent data storage. Managed cloud-based file storage is available through Amazon Elastic File System.

Additionally, a company may utilize storage transport tools like AWS Snowball, Snowball Edge, and Snowmobile to move data to the cloud. It can also use AWS Storage Gateway to enable on-premises programs to access cloud data.

Offerings for AWS storage services throughout the time

Since the introduction of S3 in 2006, AWS storage options have expanded significantly.

Data management and databases

Options for Oracle, MariaDB, MySQL, PostgreSQL, SQL Server, and an exclusive high-performance database called Amazon Aurora are available through the Amazon Relational Database Service. For users of AWS, it offers a relational database management system. Through Amazon DynamoDB, AWS further provides managed NoSQL databases.

Amazon ElastiCache and DynamoDB Accelerator are available to AWS customers as in-memory and real-time data caches for applications. Thanks to Amazon Redshift’s data warehouse, data analysts may carry out business intelligence activities more efficiently.

hybrid cloud and migration

AWS offers several tools and services to assist users in moving applications, databases, servers, and data into the public cloud. Monitoring and managing on-premises to cloud migrations may be done through the AWS Migration Hub. EC2 Simple Systems Manager assists an IT team in configuring on-premises servers and AWS instances once in the cloud.

Additionally, Amazon has alliances with several IT companies that facilitate the adoption of hybrid clouds. VMware’s software-defined data center technology is now available on AWS through VMware Cloud. Another collaboration gave rise to Red Hat Enterprise Linux for Amazon EC2, which brings Red Hat’s operating system to the AWS cloud.

Tools like AWS Outposts offer AWS services and infrastructure across various environments once applications, databases, servers, and data have been transferred to the cloud or a hybrid environment.

  • Table contrasting Google Anthos, Azure Stack, and AWS Outposts.
  • AWS Outposts is a hybrid cloud platform against Google Anthos and Microsoft Azure Stack.


An administrator can utilize an Amazon Virtual Private Cloud (Amazon VPC) to take control of a virtual network and access a secluded area of the AWS cloud. For added security, AWS automatically creates new resources within a VPC.

The Elastic Load Balancing service, which consists of the Network Load Balancer and Application Load Balancer, allows administrators to balance network traffic. Amazon Route 53 is a domain name system that AWS offers and directs customers to apps.

AWS Direct Connect enables an IT expert to create a dedicated link between an on-premises data center and the AWS cloud.

Tools for developers

To install and manage apps and services, a developer can make use of AWS command-line tools and software development kits (SDKs), such as AWS CloudShell:

AWS Command Line Interface, a coding interface exclusive to Amazon;

AWS Tools for PowerShell, which programmers utilize in Mac, Windows, and Linux environments to administer cloud services.

AWS Lambda is a computation service that enables developers to run code from over 200 AWS services and SaaS apps. Developers may test the functionalities of AWS Lambda using the AWS Serverless Application Model, which simulates an AWS environment.

A list of use cases for AWS Lambda.

One of AWS’s most well-liked offerings is the serverless computing platform known as AWS Lambda.

Platforms and programming languages supported by AWS SDKs include Android, C++, iOS, Java, Node.js, PHP, Python, and Ruby.

Applications can access data or functionality from back-end services via bespoke application programming interfaces (APIs), which can be created, managed, and monitored by a development team using Amazon API Gateway. The API Gateway simultaneously processes hundreds of concurrent API calls.

AWS also offers AWS Step Functions, a service that visualizes processes for microservices-based applications, and Amazon Elastic Transcoder, a bundled media converting service.

The following services may be used by a development team to build continuous integration and delivery pipelines:

  • To model and automate the processes of the software release process, use AWS CodePipeline;
  • Automating the authoring and compilation of code with AWS CodeBuild;
  • Using AWS CodeDeploy and AWS Lambda, code may be automatically deployed in EC2 instances;
  • a cloud-based solution called AWS CodeStar for managing numerous AWS projects; and
  • AWS Cloud9 to create, execute, and debug programs online.
  • A developer may use AWS CodeCommit to save code in Git repositories and AWS X-Ray to assess the performance of applications built with microservices.
  • Additionally, AWS provides developers with machine learning (ML) services:
  • AWS CodeWhisperer, which offers suggestions for developers’ future code based on previous code they’ve used;
  • AWS CodeArtifact, a methodology for creating machine learning models; and
  • A fully managed service called Amazon SageMaker assists programmers and data scientists in creating and deploying machine learning models.

Monitoring and management

Using AWS Config and AWS Config Rules, an administrator may control and monitor the configuration of cloud resources. Together with AWS Trusted Advisor, these technologies can assist an IT team in avoiding installations of cloud resources that are incorrectly configured and excessively expensive.

In its portfolio, AWS offers several automation tools. An administrator can utilize AWS CloudFormation templates to manage infrastructure provisioning and AWS OpsWorks for Chef to automate infrastructure and system settings.

AWS customers may use Amazon CloudWatch and the AWS Personal Health Dashboard to monitor the health of their resources and applications. Customers may also utilize AWS CloudTrail, which differs significantly from AWS Config because it retains user activity and API requests for auditing.

AWS CloudTrail and AWS Config are compared.

Two resource monitoring options with differing features are AWS CloudTrail and AWS Config.

Governing and security

AWS offers several cloud security services, such as AWS Identity and Access Management, which enables administrators to control user access to resources. AWS Directory Service and Amazon Cloud Directory allow administrators to build user directories and link existing Microsoft Active Directory databases to cloud services. Additionally, a company may create and administer rules for several AWS accounts using the AWS Organizations service.

Additionally, technologies that automatically evaluate possible security concerns have been released by Amazon Web Services. An AWS infrastructure is examined by Amazon Inspector for flaws that might jeopardize security and compliance. ML technology is used by Amazon Macie to safeguard private cloud data.

Along with providing software- and hardware-based encryption, distributed denial-of-service (DDoS) defense, obtaining TLS and SSL certificates, and filtering potentially hazardous traffic to web applications, AWS also offers tools and services in these areas.

AWS’s graphical user interface is browser-based and called the AWS Management Console. It may handle security credentials and resources for cloud computing and cloud storage. All AWS resources may be accessed using the AWS Console.

Big data analytics and management

The following big data analytics and application services are available through AWS:

  • Large volumes of data may be processed using the Apache Hadoop framework provided by Amazon EMR
  • Amazon Kinesis offers resources for handling and analyzing streaming data
  • a service called AWS Glue manages extract, convert, and load jobs
  • Using the free and open-source Elasticsearch tool, a team may conduct activities like log analysis and application monitoring with the help of Amazon Elasticsearch Service
  • analysts may query data using Amazon Athena for S3
  • Data analysts may display their analysis using Amazon QuickSight

synthetic intelligence

In addition to bundled AI-based apps, AWS provides a variety of platforms for developing and delivering AI models. The following tools are part of the Amazon AI toolkit:

  • Amazon Lex for text- and voice-based chatbots
  • Amazon Polly for translating text-to-speech
  • Amazon Rekognition for facial recognition and picture analysis
  • to extract crucial text and information from documents using Amazon Textract
  • enhancing website and app searches with Amazon Kendra
  • end-to-end business forecasting with Amazon Forecast
  • use Amazon CodeGuru to automate code evaluations and find expensive, ineffective code
  • Amazon Lookout for Predictive Maintenance Equipment
  • AWS also offers tools that programmers may use to create intelligent apps that make use of sophisticated algorithms and machine learning

Developers may build and train specialized AI models on clusters of graphics processing units or compute-optimized instances using AWS Deep Learning Amazon Machine Images (AMIs). TensorFlow and Apache MXNet deep learning development frameworks are also included in AWS.

The virtual assistant Alexa Voice Service is powered by AWS technology on the consumer side, and developers may create voice-based apps for Echo devices using the Alexa Skills Kit.

Healthcare professionals may also utilize Amazon Comprehend Medical, which extracts information from medical literature, and Amazon HealthLake to store, transmit, and query a patient’s healthcare data.

cell phone development

The AWS Mobile Hub provides a selection of resources and services for those who create mobile apps. The AWS Mobile SDK, which offers code examples and libraries, is one of those tools.

A mobile app developer may also utilize Amazon Cognito to control user access to mobile apps and Amazon Pinpoint to communicate with app end users via push notifications and assess the success of such efforts.

notifications and messages

AWS messaging services offer essential user and application communication. A managed message queue called Amazon Simple Queue Service (SQS) is used to deliver, store, and receive messages amongst dispersed application components to ensure each one functions as it should.

A company can deliver publish-subscribe messages to endpoints, such as customers or services, using Amazon Simple Notification Service (SNS). Push messaging to mobile devices is made possible by a mobile messaging function in SNS. Thanks to Amazon Simple Email Service, IT specialists and marketers have a platform to send and receive emails.

Virtual reality (VR) and augmented reality (AR) (VR)

AWS provides development tools for AR and VR with AWS Simplify and Babylon.js. Users may build AR and VR applications using Babylon.js without having to master programming or produce 3D graphics. Users of the service can also test and publish apps online. You may use Babylon.js for the following things:

  • Web applications using 3D
  • e-commerce
  • apps for sales
  • marketing
  • online learning
  • manufacturing
  • simulations for training
  • gaming

Developers may host and distribute their AR and VR applications with AWS Simplify.

game creation

Game creation may take advantage of AWS. For games like Ubisoft’s For Honor, large game development studios employ AWS services. Every stage of a game’s lifetime may be serviced by AWS.

For instance, AWS offers analytics, back-end services for developers, and developer tools like Amazon Lumberyard, which lets developers create 3D games. The development, deployment, scalability, and defense against DDoS assaults of a developer’s platform are all made more accessible by back-end services like Amazon GameLift.

Analytics aid game creators in understanding their players and the games they enjoy. On AWS servers, developers may also host or store game data.

network of things (IoT)

IoT installations may be made possible by a range of services offered by AWS. Back-end infrastructure for managing IoT devices and data input to other AWS storage and database services are offered via the AWS IoT service.

The Amazon IoT Button provides hardware for limited IoT capability, while AWS IoT Greengrass gives IoT devices access to AWS computational resources.

Other offerings

A variety of SaaS alternatives for corporate efficiency are offered by Amazon Web Services

Amazon Chime, which allows for cross-platform text-based conversations, calls, and online video meetings

a service for sharing and storing files called Amazon WorkDocs

Calendaring capabilities are offered by the corporate email service Amazon WorkMail

These desktop and streaming application services are offered by AWS

a platform for remote desktop-as-a-service called Amazon WorkSpaces

A developer can stream a desktop program hosted in the AWS cloud to a user’s web browser using the Amazon AppStream service.

Additionally, AWS provides blockchain services.

a service from Amazon Managed Blockchain that aids in building and managing blockchain networks

A ledger database called Amazon Quantum Ledger Database keeps track of and preserves a user’s blockchain activities.

Additionally accessible are AWS RoboMaker, a tool that enables developers to build and deploy robotics apps, and Amazon Bracket, a service that assists developers in quantum computing research.

Pricing strategies used by AWS, rivals, and clients

Pay-as-you-go for AWS’s cloud services is either on an hourly basis or on a per-second basis. For clients that prepay or sign up for one- or three-year use commitments, there is now the opportunity to reserve a certain amount of computing capacity at a discounted price. Customers can receive volume-based discounts, which means they pay less per gigabyte the more of a service they use.

Another choice is the AWS Free Tier. Customers may start creating on the AWS platform for free and access up to 60 items. Three options are available for the Free Tier: always accessible, 12 months free, and trials.

The pricing estimator AWS can be used by prospective clients to determine costs. Additionally, consumers choosing a price plan can get on-demand assistance from AWS-certified third parties.

According to Synergy Research Group, Amazon AWS will hold a 33% share of the global cloud industry by the first quarter of 2022. In the open IaaS market, this is more than any of its rivals, including Microsoft Azure, Google, and IBM.