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Top Most Used AWS Services List in 2023 | Top AWS Services Explained With Use Cases- Devduniya

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Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of services including computing, storage, networking, database, analytics, machine learning, security, and more.

Some of the most commonly used AWS services are:

No.1: Amazon Elastic Compute Cloud (Amazon EC2)

This is a web service that provides resizable computing capacity in the cloud. You can use Amazon EC2 to launch virtual servers, configure security and networking, and manage storage.
Example: A company that runs a web application on Amazon EC2 could use the service to scale up their application during peak traffic periods and scale down during off-peak periods to save on costs.

No.2: Amazon Simple Storage Service (Amazon S3)

This is an object storage service that allows you to store and retrieve large amounts of data from anywhere on the internet. Amazon S3 is durable, scalable, and secure, making it an ideal storage solution for a wide range of applications.
Example: A media company could use Amazon S3 to store and deliver large video files to their users.

No.3: Amazon Relational Database Service (Amazon RDS)

This is a managed database service that makes it easy to set up, operate, and scale a relational database in the cloud. Amazon RDS supports popular database engines like MySQL, PostgreSQL, and MariaDB.
Example: A startup could use Amazon RDS to quickly set up and manage a database for their web application without having to worry about infrastructure management.

No.4: Amazon DynamoDB

Amazon DynamoDB – a fully managed NoSQL database service.
Some key features of DynamoDB include:

  • Automatic scaling: DynamoDB automatically scales up or down to meet the requirements of your application’s request rate and capacity.
  • Low latency: DynamoDB provides fast access to data via local secondary indexes and in-memory caching.
  • High durability: DynamoDB stores data across multiple facilities and devices, ensuring durability and availability.
  • Flexible data model: You can use DynamoDB to store any amount of data in any format, including key-value, document, and columnar.
  • Wide language support: DynamoDB supports a variety of programming languages, including Java, C#, Python, and more.

No.5: Amazon Simple Queue Service (SQS)

A fully managed message queuing service that enables the decoupling of microservices, distributed systems, and serverless applications.

No.6: Amazon Simple Notification Service (SNS)

A fully managed messaging service for both system-to-system and app-to-person communication.

No.7: Amazon CloudFront

A content delivery network (CDN) that securely delivers data, videos, applications, and APIs to customers globally.

No.8: Amazon Elastic Container Service (Amazon ECS)

This is a container orchestration service that makes it easy to run and manage containerized applications at scale. Amazon ECS supports Docker containers and allows you to deploy and scale your applications quickly and easily.
Example: A company that runs a microservices-based application could use Amazon ECS to deploy and manage its services across multiple instances.

No.9: Amazon Elastic Kubernetes Service (EKS)

A managed Kubernetes service that makes it easy to deploy and run containerized applications on AWS.
Amazon Lambda – a serverless compute service that runs your code in response to events and automatically manages the compute resources for you.

Here’s an example of how some of these services might be used together:
Imagine you have a web application that allows users to upload and share photos. You could use EC2 to host the application, S3 to store the photos, RDS to store information about the photos and users, and SNS to send notifications when someone comments on a photo. CloudFront could be used to deliver photos to users quickly and efficiently, and Lambda could be used to resize photos for different devices.


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