AWS Important Services

AWS Important Services


3 min read

Here is a list of some key AWS (Amazon Web Services) services along with simple descriptions of each:

  1. Amazon EC2 (Elastic Compute Cloud): Provides virtual servers in the cloud, allowing you to configure and scale compute capacity as needed.

  2. Amazon S3 (Simple Storage Service): Offers scalable object storage for storing and retrieving data. It is commonly used to store and distribute static assets, backups, and data archives.

  3. Amazon RDS (Relational Database Service): Provides managed relational databases, such as MySQL, PostgreSQL, Oracle, and SQL Server, making it easy to set up, operate, and scale a relational database in the cloud.

  4. Amazon DynamoDB: A fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is commonly used for applications that require low-latency, high-throughput data storage.

  5. Amazon Lambda: A serverless compute service that lets you run your code without provisioning or managing servers. It automatically scales and executes code in response to events, such as changes to data in an S3 bucket or incoming API requests.

  6. Amazon SNS (Simple Notification Service): A publish/subscribe messaging service that enables applications, services, and devices to send and receive notifications. It supports various delivery protocols like email, SMS, HTTP, and more.

  7. Amazon SQS (Simple Queue Service): A fully managed message queuing service that decouples the components of a distributed application. It enables reliable and scalable communication between different parts of an application.

  8. Amazon VPC (Virtual Private Cloud): Provides a logically isolated virtual network within the AWS cloud. It allows you to define subnets, configure routing tables, and control network access, providing a secure and customizable networking environment.

  9. Amazon CloudFront: A global content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to users with low latency and high transfer speeds.

  10. Amazon Route 53: A scalable domain name system (DNS) web service that provides highly reliable and cost-effective domain registration, routing, and health checking of resources.

  11. Amazon Redshift: A fully managed data warehousing service that allows you to analyze large datasets using standard SQL queries. It is optimized for online analytical processing (OLAP) and provides fast query performance.

  12. Amazon ECS (Elastic Container Service): A highly scalable container orchestration service that supports Docker containers. It simplifies the deployment and management of containerized applications.

  13. Amazon Sagemaker: A fully managed service that enables developers and data scientists to build, train, and deploy machine learning models at scale.

  14. AWS CloudFormation: A service that allows you to define and provision AWS infrastructure as code using templates. It automates the deployment of resources and helps ensure consistent and repeatable infrastructure setup.

  15. AWS CloudWatch: A monitoring and observability service that provides metrics, logs, and alarms for AWS resources and applications. It enables you to gain insights into resource utilization, performance, and operational health.

  16. AWS IAM (Identity and Access Management): A service that allows you to manage user identities and control their access to AWS resources. It enables you to define fine-grained permissions and policies.

  17. AWS S3 Glacier: A low-cost storage service designed for long-term data archiving and backup. It provides secure and durable storage with retrieval options ranging from minutes to hours.

  18. AWS Glue: A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics. It supports data integration, schema discovery, and data transformation tasks.

  19. AWS Step Functions: A serverless workflow service that enables you to coordinate multiple AWS services into serverless workflows. It helps you build applications with distributed and asynchronous components.

  20. AWS Kinesis: A platform for streaming data processing and analytics. It enables real-time data ingestion, processing, and visualization.

Please note that this is just a selection of services, and AWS offers many more services covering various domains, including AI/ML, serverless computing, analytics, storage, networking, and more.

Follow for more

Figma Community:
Personal Portfolio:

Thank you!

Did you find this article valuable?

Support Prahlad Inala by becoming a sponsor. Any amount is appreciated!