Important AWS services and use cases

AWS (Amazon Web Services) offers over 200 fully featured services for computing, storage, databases, analytics, networking, machine learning, and more. Here is the list of some of the most popular AWS services and their general use cases.

1. Amazon EC2 (Elastic Compute Cloud)

• Use Case: Provides scalable computing capacity in the AWS cloud. It allows users to run and manage server instances for applications.

2. Amazon S3 (Simple Storage Service)

• Use Case: Offers scalable object storage for data backup, archival, and analytics. Commonly used for storing files, images, and other static assets.

3. AWS Lambda

• Use Case: A serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. It's used for creating microservices or automating tasks.

4. Amazon RDS (Relational Database Service)

• Use Case: Simplifies setup, operation, and scaling of a relational database. It's used for managing databases like MySQL, PostgreSQL, Oracle, and SQL Server without worrying about infrastructure provisioning.

5. Amazon DynamoDB

• Use Case: A NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. It's widely used for mobile backends, gaming, IoT, etc.

6. Amazon VPC (Virtual Private Cloud)

• Use Case: Provides a logically isolated section of the AWS cloud where you can launch AWS resources in a virtual network that you define. It's used for setting up secure and isolated networking for AWS resources.

7. Amazon SNS (Simple Notification Service)

• Use Case: A fully managed pub/sub messaging and mobile notifications service for coordinating the delivery of messages to subscribing endpoints and clients. It's used for notifications, workflow systems, and decoupling microservices.

8. Amazon SQS (Simple Queue Service)

• Use Case: Offers a secure, durable, and available hosted queue that lets you integrate and decouple distributed software systems and components. It's used for message queuing services to enable communication between different components of a cloud application.

9. Amazon EBS (Elastic Block Store)

• Use Case: Provides block-level storage volumes for use with EC2 instances. It's used for databases, file systems, and any applications that require persistent storage.

10. Amazon CloudFront

• Use Case: A fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency and high transfer speeds. It's used for distributing static and dynamic web content.

11. AWS IAM (Identity and Access Management)

• Use Case: Enables you to manage access to AWS services and resources securely. Using IAM, you can create and manage AWS users and groups and use permissions to allow and deny their access to AWS resources.

12. Amazon ECS (Elastic Container Service)

• Use Case: A highly scalable, high-performance container management service that supports Docker containers and allows you to run applications on a managed cluster of Amazon EC2 instances. It's used for microservices architectures, batch processing, and machine learning applications.

13. Amazon Sagemaker

• Use Case: Provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Sagemaker removes the heavy lifting from each step of the machine learning process.

14. Amazon CloudWatch

• Use Case: Provides monitoring and observability of your AWS resources and applications on AWS and on-premises, offering insights to ensure performance, optimize resource utilization, and maintain application health.

This overview covers just a fraction of what AWS offers, focusing on some of the most commonly used services. AWS continues to expand its services to address virtually any cloud computing need, from satellite data ground stations (AWS Ground Station) to quantum computing (Amazon Braket). Each service is designed to work together within the AWS ecosystem to provide a comprehensive, scalable, and efficient cloud computing environment.