Fawry cloud devops internship
  • Application production deployment architecture
  • Application Deployment Process
  • Application Deployment pricing
  • Kubernetes ConfigMap and Secret
  • Kubernetes Network
  • Kubernetes PV & PVC
  • kubernetea Labs
  • Kubernetes Session 3
  • Kubernetes Session 2
  • Kubernetes Architecture
  • Amazon SQS
  • AWS SNS
  • AWS Elastic Transcode
  • AWS RDS
  • Amazon Aurora RDS
  • Amazon RDS for Oracle
  • Amazon RDS for PostgreSQL
  • Amazon RDS for MySQL
  • Amazon RDS for SQL Server
  • Amazon RDS Multi-AZ with one standby
  • AWS RDS Automated Backup
  • Amazon RDS - Event Notifications
  • Amazon RDS - DB Access Control
  • Amazon RDS - Data Import / Export
  • Amazon RDS - DB Monitoring
  • Amazon RDS on VMware
  • Amazon Aurora Serverless
  • Cloud Computing
  • AWS
  • AWS Features
  • AWS Global Infrastructure
  • AWS Services
  • AWS IAM
  • AWS S3
  • AWS S3 Lifecycle Management
  • EC2
  • Instance types
  • AMI
  • EBS
  • Elastic File System
  • EC2 Lab with EFS shared
  • AWS Route53
  • AWS VPC
  • EC2 placement group
  • AWS LB
  • EC2 Auto Scaling
  • Cloud Watch
  • SeMA Deployment Architecture
    • SeMA application sizing-estimation process .
    • SeMA Deployment Architecture
  • Laravel Deployment Architecture
    • Larvel application sizing-estimation process .
    • SeMA Deployment Architecture
  • SeMA Survey Application Deployment Architecture
  • Fawry DevOps internship Agenda
  • Fawry cloud devops internship
  • User Guide
  • FAQ
  • Application Architecture
    • Architecture
    • UI : Angular 8
    • Web : PHP Laravel
    • Analytics : Metabase
    • DB : MariaDB
    • Application Security Course
  • ZiSoft Deployment
    • Non-Production Deployment
    • Kubernetes Production Deployment
    • Offline Production Deployment
    • SaaS :Kubeapps
  • Linux for DevOps
  • Architecture of Linux system
  • Linux Directory Structure
  • Linux Commands
  • Linux labs
  • Docs
  • GIT
  • Git vs SVN
  • Git Flow / Git Branching Model
  • Git Version Control System
  • Git Terminology
  • Git Commands
  • Git Remote
  • Git Stash
  • Git Merge and Merge Conflict
  • Merge vs Rebase
  • Git Tags
  • Containerization
  • Dockerfile
  • Docker Compose
  • Docker Architecture
  • DevOps part 1 : interview
Powered by GitBook
On this page
  • What is AWS?
  • Uses of AWS
  • Pay-As-You-Go
  • Advantages of AWS
  • History of AWS

Was this helpful?

Export as PDF

AWS

Last updated 2 years ago

Was this helpful?

AWS tutorial provides basic and advanced concepts. Our AWS tutorial is designed for beginners and professionals.

AWS stands for Amazon Web Services which uses distributed IT infrastructure to provide different IT resources on demand.

Our AWS tutorial includes all the topics such as introduction, history of aws, global infrastructure, features of aws, IAM, Storage services, Database services, etc.

What is AWS?

  • AWS stands for Amazon Web Services.

  • The AWS service is provided by the Amazon that uses distributed IT infrastructure to provide different IT resources available on demand. It provides different services such as infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS).

  • Amazon launched AWS, a cloud computing platform to allow the different organizations to take advantage of reliable IT infrastructure.

Uses of AWS

  • A small manufacturing organization uses their expertise to expand their business by leaving their IT management to the AWS.

  • A large enterprise spread across the globe can utilize the AWS to deliver the training to the distributed workforce.

  • An architecture consulting company can use AWS to get the high-compute rendering of construction prototype.

  • A media company can use the AWS to provide different types of content such as ebox or audio files to the worldwide files.

Pay-As-You-Go

Based on the concept of Pay-As-You-Go, AWS provides the services to the customers.

Backward Skip 10sPlay VideoForward Skip 10s

Advantages of AWS

1) Flexibility

  • We can get more time for core business tasks due to the instant availability of new features and services in AWS.

  • It provides effortless hosting of legacy applications. AWS does not require learning new technologies and migration of applications to the AWS provides the advanced computing and efficient storage.

  • AWS also offers a choice that whether we want to run the applications and services together or not. We can also choose to run a part of the IT infrastructure in AWS and the remaining part in data centres.

2) Cost-effectiveness

AWS requires no upfront investment, long-term commitment, and minimum expense when compared to traditional IT infrastructure that requires a huge investment.

3) Scalability/Elasticity

Through AWS, autoscaling and elastic load balancing techniques are automatically scaled up or down, when demand increases or decreases respectively. AWS techniques are ideal for handling unpredictable or very high loads. Due to this reason, organizations enjoy the benefits of reduced cost and increased user satisfaction.

4) Security

  • AWS provides end-to-end security and privacy to customers.

  • AWS has a virtual infrastructure that offers optimum availability while managing full privacy and isolation of their operations.

  • Customers can expect high-level of physical security because of Amazon's several years of experience in designing, developing and maintaining large-scale IT operation centers.

  • AWS ensures the three aspects of security, i.e., Confidentiality, integrity, and availability of user's data.

History of AWS

  • 2003: In 2003, Chris Pinkham and Benjamin Black presented a paper on how Amazon's own internal infrastructure should look like. They suggested to sell it as a service and prepared a business case on it. They prepared a six-page document and had a look over it to proceed with it or not. They decided to proceed with the documentation.

  • 2004: SQS stands for "Simple Queue Service" was officially launched in 2004. A team launched this service in Cape Town, South Africa.

  • 2006: AWS (Amazon Web Services) was officially launched.

  • 2007: In 2007, over 180,000 developers had signed up for the AWS.

  • 2010: In 2010, amazon.com retail web services were moved to the AWS, i.e., amazon.com is now running on AWS.

  • 2011: AWS suffered from some major problems. Some parts of volume of EBS (Elastic Block Store) was stuck and were unable to read and write requests. It took two days for the problem to get resolved.

  • 2012: AWS hosted a first customer event known as re:Invent conference. First re:invent conference occurred in which new products were launched. In AWS, another major problem occurred that affects many popular sites such as Pinterest, Reddit, and Foursquare.

  • 2013: In 2013, certifications were launched. AWS started a certifications program for software engineers who had expertise in cloud computing.

  • 2014: AWS committed to achieve 100% renewable energy usage for its global footprint.

  • 2015: AWS breaks its revenue and reaches to $6 Billion USD per annum. The revenue was growing 90% every year.

  • 2016: By 2016, revenue doubled and reached $13Billion USD per annum.

  • 2017: In 2017, AWS re: invent releases a host of Artificial Intelligence Services due to which revenue of AWS doubled and reached $27 Billion USD per annum.

  • 2018: In 2018, AWS launched a Machine Learning Speciality Certs. It heavily focussed on automating Artificial Intelligence and Machine learning.