Amazon Web Services

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable computing capacity—literally, servers in Amazon’s data centers—that you use to build and host your software systems.

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table for any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

Amazon Simple Storage Service (Amazon S3) is storage for the internet. You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere on the web.

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon Aurora is a fully managed relational database engine that’s built for the cloud and compatible with MySQL and PostgreSQL. Amazon Aurora is part of Amazon RDS.

AWS Identity and Access Management (IAM) is a web service for securely controlling access to AWS services. With IAM, you can centrally manage users, security credentials such as access keys, and permissions that control which AWS resources users and applications can access.

With AWS Lambda, you can run code without provisioning or managing servers. You pay only for the compute time that you consume—there’s no charge when your code isn’t running. You can run code for virtually any type of application or backend service—all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.

Amazon Virtual Private Cloud (Amazon VPC) enables you to provision a logically isolated section of the AWS Cloud where you can launch AWS resources in a virtual network that you’ve defined.

Amazon WorkSpaces offers an easy way to provide a cloud-based desktop experience to your end users. Select from a choice of bundles that offer a range of different amounts of CPU, memory, storage, and a choice of applications. Users can connect from a PC, Mac desktop computer, iPad, Kindle, or Android tablet.

Amazon Lightsail and Amazon Lightsail for Research help developers, academics, and researchers get started using Amazon Web Services (AWS).

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly build and train machine learning models, and then deploy them into a production-ready hosted environment.