As Amazon explains in their documentation:
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. For example, you can run a server on AWS that you can log on to, configure, secure, and run just as you would a server that’s sitting in front of you.
The whole concept builds on top of the cloud computing principle. It provides IT infrastructure and other services over the internet.
And it’s commonly used for:
Store public or private data.
Host a dynamic website, or web app. These websites include classic three-tier applications, with web, application, and database tiers.
Support students or online training programs.
Process business and scientific data.
Handle peak loads.
The following categories represent the core products of AWS.
Amazon EC2 (Provides virtual servers in the AWS cloud)
Amazon VPC (Provides an isolated virtual network for your virtual servers)
Elastic Load Balancing (Distributes network traffic across your set of virtual servers)
Auto Scaling (Automatically scales your set of virtual servers based on changes in demand)
Amazon Route 53 (Routes traffic to your domain name to a resource, such as a virtual server or a load balancer)
AWS Lambda (Runs your code on virtual servers from Amazon EC2 in response to events)
Amazon ECS (Provides Docker containers on virtual servers from Amazon EC2)
Amazon S3 (Scalable storage in the AWS cloud)
CloudFront (A global content delivery network (CDN))
Amazon EBS (Network attached storage volumes for your virtual servers)
Amazon Glacier (Low-cost archival storage)
AWS Identity and Access Management (Manage user access to AWS resources through policies)
AWS Directory Service (Manage user access to AWS through your existing Microsoft Active Directory, or a directory you create in the AWS cloud)
Amazon RDS (Provides managed relational databases)
Amazon Redshift (A fast, fully-managed, petabyte-scale data warehouse)
Amazon DynamoDB (Provides managed NoSQL databases)
Amazon ElastiCache (An in-memory caching service)
Amazon EMR (Amazon EMR) uses Hadoop, an open source framework, to manage and process data. Hadoop uses the MapReduce engine to distribute processing using a cluster.
Amazon EMR (You identify the data source, specify the number and type of EC2 instances for the cluster and what software should be on them, and provide a MapReduce program or run interactive queries)
AWS Data Pipeline (to regularly move and process data)
Amazon Kinesis (real-time processing of streaming data at a massive scale)
❗Amazon ML (use machine learning technology to obtain predictions for their applications using simple APIs. Amazon ML finds patterns in your existing data, creates machine learning models, and then uses those models to process new data and generate predictions) ❗
Amazon AppStream (Host your streaming application in the AWS cloud and stream the input and output to your users’ devices)
Amazon CloudSearch (Add search to your website)
Amazon Elastic Transcoder (Convert digital media into the formats required by your users’ devices)
Amazon SES (Send email from the cloud)
Amazon SNS (Send or receive notifications from the cloud)
Amazon SQS (Enable components in your application to store data in a queue to be retrieved other components)
Amazon SWF (Coordinate tasks across the components of your application)
Amazon CloudWatch (Monitor resources and applications)
AWS CloudFormation (Provision your AWS resources using templates)
AWS CloudTrail (Track the usage history for your AWS resources by logging AWS API calls)
AWS Config (View the current and previous configuration of your AWS resources, and monitor changes to your AWS resources)
AWS OpsWorks (Configure and manage the environment for your application, whether in the AWS cloud or your own data center)
AWS Service Catalog (Distribute servers, databases, websites, and applications to users using AWS resources)
AWS can be accessed through:
AWS Management Console
AWS Command Line Interface (AWS CLI)
Command Line Tools
AWS Software Development Kits (SDK)
There is a detailed guide on how to install and use each of these options in the documentation.
As you can see it takes a while to get familiar with each tool to get into some sort of workflow.
Elastic pay-per-use infrastructure
On demand resources
Reduced time to market
Increased opportunities for innovation
Load balancer tier (eg Elastic Load Balancing)
Web/app tier (eg EC2 AutoScaling Group)
Caching tier (eg ElastiCache for Memcached)
Database tier (eg Multi-AZ RDS)
Static content (eg Amazon S3)
Content Delivery (with Amazon CloudFront)
AWS provides building blocks that you can assemble quickly to support any workload. With AWS, you’ll find a complete set of highly available services that are designed to work together to build scalable applications.
Diving into AWS requires you to understand their own keywords and concepts. There is really a whole cloud computing world waiting for you. I am eager to explore more, seeing that it steadily gains more popularity.