Getting started with AWS

Cloud computing by definition refers to the on-demand deliver of IT resources and applications via the Internet with pay-as-you go pricing.Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud and build nearly anything you can imagine.

Why do customers choose AWS?

1. Agility - AWS allow teams to experiment ,innovate quickly and frequently.
2. Cost Savings - Only pay for what you use,lower upfront expenses,price reductions
3. Elasticity -Stop guessing capacity,scale up and down with demand.
4. Innovate faster -Ability to focus on business differentiation not infrastructure
5. Go global in minutes -Most expensive and reliable

AWS Region design

AWS Region design are comprised of multiple AZs for higher availability ,high scalability and high fault tolerance.Applications and data are replicated in real time and consistent in different AZs.There are around 76 availability zones in which its AWS has it’s servers located. These serviced regions are divided in order to allow users to set geographical limits on their services (if they so choose), but also to provide security by diversifying the physical locations in which data is held. Overall, AWS spans 245 countries and territories.

Key components of AWS:

1. Amazon cluster -This is also known as amazon account.The main computer services of AWS are EC2 and ELB.companies can increase or decrease according to needs. Administrators and system developers use the EC2 instances to maintain and run the cloud computing
2. Databases -Users can manage their own data in AWS using EC2 and EBS.The Relational Database Service (RDS) and Amazon Redshift are two AWS databases.Based on amount of storage and hours required RDS is used.
3. Storage-The three most common storage available in AWS are the simple storage service (S3) , Elastic Block Storage (EBS) and CloudFront.
4. Management Security -The AWS directory service directly connects AWS clouds to local locations. CloudWatch controls the cloud resources for AWS. The AWS AWS CloudTrail API records require AWS user accounts. CloudTrial does it for free.
5. Network -This component provides integrated security and a private cloud.The pricing option is pay as you use.Amazon VPC provides versatile network performance in AWS.
6. Analytics -AWS provides data analysis services in all areas, such as Hadoop, orchestration and data transmission and real-time storage. EMR (Elastic MapReduce) is an analytical facilitator used by companies, data analysts, researchers and developers to process parts of data. The evaluation is carried out by the hour. Redshift also offers some analytical capabilities.
7. Application services - To automate the workflow between different services,Amazon SQS (simple queue service) is used. There acts like a special queue used to store messages
8. Implementation and management -Elastic Beanstalk uses Java, .NET, PHP, Node.js, Python and Ruby to implement and measure web applications.

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