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Amazon Web Services Tutorial – Learn Amazon Web Services from Experts

Author: Deven Raj
by Deven Raj
Posted: Aug 24, 2019

This AWS tutorial is meant for beginners to learn AWS. Through this AWS tutorial you will understand AWS architecture, various AWS products like S3, EC2, VPC, Route 53, Lambda, IAM, Redshift, RDS, DynamoDB and others. You will know the advantages of AWS, migration from on-premise to AWS cloud, administration of AWS and more through this easy to learn AWS tutorial. If you want to master AWS and get certified then check the Intellipaat AWS training course.

What is AWS?

First of all, what does AWS stand for? Obviously it is Amazon Web Services. Amazon Web Services is the world’s biggest cloud provider which is owned by Amazon. They provide a set of on-demand services to the customers via the internet or "The Cloud". Also, you get a pay-as-you-go option where you need to only pay for what you use. AWS lets you work and run applications on the virtual machine like your own computer.

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To be very simple, AWS provides their services over the internet which is actually installed in their infrastructure.

Following is the list of all the topics we have discussed in this AWS Tutorial:

    • Market share Popularity
    • AWS Well-Architected Framework
    • 5 pillars of AWS
    • AWS Services
    • Why businesses prefer AWS?
    • Starting off with AWS
Market share and Popularity

AWS cloud has 41% market share in the cloud industry. Azure is the next major cloud provider and it lacks behind with only 29% of the market. So, AWS leads way ahead.

AWS is the most popular cloud provider in the world and it is the most used in USA and India too.

So, what makes AWS so special? Let’s take a look.

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AWS Well-Architected Framework

The Well-Architected Framework has been designed and developed in a way that it could help cloud architects build secure, reliable, high-performing, and efficient infrastructure for their applications. The 5 pillars of AWS is used to provide a consistent approach for customers and clients to design, evaluate, and implement prototypes that will work perfectly for them in the long-run.

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5 pillars of AWS

While creating an infrastructure in AWS, you can never afford to miss these 5 points which we will be seeing now. These instructions are provided by AWS itself.

  • Operational Excellence
  • Security
  • Reliability
  • Performance Efficiency
  • Cost Optimization

Operational Excellence:

The pillar includes the ability to run and monitor systems to deliver amazing business value and to improve exponentially in supporting processes and procedures.

To achieve operational excellence, there are 6 design principles to follow and they are:

  • Perform operations as code
  • Annotate documentation
  • Make frequent, small, reversible changes
  • Refine operations procedures frequently
  • Anticipate failure
  • Learn from all operational failures

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Security pillar has the ability to secure and protect the data and applications stored in the cloud and also to provide business value by having contingency plans, risk assessments, and migration strategies.

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To achieve a secure architecture in the cloud, follow these design principles:

  • Implement a strong identity foundation
  • Enable traceability
  • Apply security at all layers
  • Automate security best practices
  • Protect data in transit and at rest
  • Prepare for security events

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This pillar includes the ability of the system to recover from a service or infrastructure destruction. Also, how fast it recovers from it.

The principles provided are:

  • Test recovery procedures
  • Automatically recover from failure
  • Scale horizontally to increase aggregate system availability
  • Stop guessing capacity
  • Manage change in automation

Performance Efficiency:

The ability to use computing resources efficiently so that they meet the demanded requirements is what this pillar talks about.

The design principles for this pillar are:

  • Democratize advanced technologies
  • Go global in minutes
  • Use serverless architectures
  • Experiment more often
  • Mechanical sympathy

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Cost Optimization:

Minimizing the costs or avoiding them by getting rid of unwanted resources and cleverly designing an architecture which does cut costs.

The principles to be remembered are:

  • Adopt a consumption model
  • Measure overall efficiency
  • Stop spending money on data centre operations
  • Analyze and attribute expenditure
  • Use managed services to reduce the cost of ownership

When building an AWS architecture remember all these key pillars to create an effective architecture.

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Services provided by AWS

We already saw what is AWS and it’s popularity. Now, let us see the services which made AWS what it is today. AWS offers a variety of services that can be categorized in the following categories:

  • Compute and Networking Services
      • Amazon EC2 – Amazon Simple Notification Service (SNS) is a messaging service. Amazon Simple Email Service is a email sending service via cloud.
      • Amazon VPC – Amazon VPC is one that provides an additional layer of security for all AWS services that you use.
      • AWS Elastic Beanstalk – AWS Elastic Beanstalk is a compute service which makes it easier for the developers to quickly deploy and manage applications which you upload to the AWS cloud.
      • Amazon ELB – Load balancer is a service which uniformly distributes network traffic and workloads across multiple servers or cluster of servers.
  • Storage and Content Delivery Services
      • Amazon S3 – Amazon Simple Storage Service (S3) is a storage that can be maintained and accessed over the Internet.
      • Amazon CloudFront – It is a Content Delivery Network (CDN) which delivers apps, videos, and other data in low latency to the customers.
  • Security and Identity Services
      • Amazon Cognito – Allows sign-in, sign-up and provides access to your mobile and web apps.
      • AWS IAM – AWS Identity and Access Management enables you to manage access to AWS services and resources securely
  • Database Services
      • Amazon RDS – Amazon RDS is a service which provides database connectivity through the internet. RDS makes it very simple, easy and set up a relational database through the cloud.
      • Amazon Redshift – Amazon Redshift is a data warehouse service which is fully managed by AWS.
      • Amazon Aurora – AWS Aurora is a relational database engine which provides the simplicity and cost-effectiveness of an open source database combined with the power, performance, and reliability of a high-end commercial database.
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  • Analytics Services
      • Amazon Kinesis – For real-time analytics, Amazon Kinesis makes it easy to collect, process and analyze streaming data such as IoT telemetry data, application logs, and website clickstreams.
      • Amazon QuickSight – Fast, cloud-powered business analytics service, that that makes it easy to build stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
  • Application Services
      • Amazon SES – Amazon Simple Email Service is a email sending service via cloud. This is mainly developed for marketers and developers to send business and transactional emails.
      • Amazon SNS – Amazon Simple Notification Service (SNS) is a messaging service. SNS is highly available, durable, secure, and fully management publisher/subscriber service.
  • Management Tools
    • AWS Management Console – AWS Management Console is basically a web application that allows users to access and manage any of the resources/services running on the AWS infrastructure.
    • AWS CloudWatch – Amazon CloudWatch is AWS monitoring and management service which is designed for the purpose of maintaining the services and resources which are used.

The most used services are Compute, Storage and Security. Most of the businesses who opt for Cloud start with storage, that is migrating their data to the cloud.

Who uses AWS?

World’s biggest companies in their own domain use AWS for their cloud needs.

The number of active users of AWS exceeds 1,000,000. 10% of that users are Enterprise-scale users and the rest of it is covered by small and mid-sized companies.

The firms which have gone "all-in" that is removing their data centres and completely opting for AWS. Netflix went all-in in the year 2015, and they use a huge amount of resources from AWS. Hertz and Time incorporation are two other companies who went all-in.

Tata Motors and Wipro are the two of the biggest Indian MNCs to use AWS.

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Why businesses prefer AWS?

It is mainly because of all the cloud computing advantages but what does AWS have that is better than other providers like Azure and GCP.

AWS started their cloud business in 2006 which was way before any other major company even thought of it. They have failed a lot and have gained experience from it, and right now they are the leaders because of it. They provide an overwhelming amount of services which can be used by many businesses to their advantage.

The Brand name they created by the success of is one of the main reason businesses trust AWS. Also, anybody could easily set up a profile and start with AWS.

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Starting off with AWS

It is very simple to start off with AWS. There is no complex procedures to start. Let me give you the steps to easily create a AWS account and access the AWS management console.

Step 1: Create an AWS account by providing personal and credit/debit card details. INR 2 will be deducted to validate your card.

Step 2: Choose the plan you want. Basic, Developer, or Business plan. Basic is free for 12 months with limits. Developer costs 29$/month and Business costs 100$/month.

Step 3: Now you will get access to the AWS Mangement Console. You just have to learn how to use the services. For detailed information on Creating a account and the AWS Management Console click here.

Here ends this AWS Tutorial on Amazon Web Services. Wish to learn more? Check out Intellipaat’s AWS Courseto get an in-depth understanding of Amazon Web Services!

Originally published at on May 16, 2016

About the Author

An enthusiastic learner and tech-geek with core expertise in Full Stack Web Development, Machine Learning, Data Science. Worked for top MNC's like Virtusa, Deloitte, CTS with an experience of 5 years in the corporate world.

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