Computing Services provided by Amazon (AWS)

Amazon Web Services (AWS) offers a range of cloud computing services that let you run applications, websites, and workloads without investing in physical hardware. Whether you're hosting a website, training AI models, or processing massive datasets, AWS has a computing service to fit your needs.

1. Amazon EC2 (Elastic Compute Cloud)

Amazon EC2 provides virtual servers in the cloud — called instances — that you can configure with different CPU, memory, storage, and networking options.

Key Features:

• Choose from different instance types (general, compute-optimized, memory-optimized, etc.). 
• Pay only for what you use (on-demand, reserved, spot pricing). 
• Full control over the operating system and software.

Use Cases:

• Hosting web applications 
• Running databases or backend systems 
• Development and testing environments

Example: Launch a Linux or Windows EC2 instance and install a web server to host your site.

2. AWS Lambda – Serverless Computing

AWS Lambda lets you run code without provisioning or managing servers. Just upload your code, and AWS executes it in response to events (like HTTP requests or file uploads).

Key Features:

• Fully managed, event-driven Pay only for the compute time you use (per millisecond) 
• Supports multiple languages (Node.js, Python, Java, etc.)

Use Cases:

• Microservices and APIs 
• Real-time file processing (e.g., process an image uploaded to S3) 
• IoT and event-driven applications

Example: Create a Lambda function that resizes images automatically when users upload them to S3.

3. AWS Elastic Beanstalk – Platform as a Service (PaaS)

Elastic Beanstalk is a platform that automates deployment and scaling of web applications. You just upload your code, and AWS handles the infrastructure setup.

Key Features:

• Supports Java, .NET, PHP, Python, Node.js, Ruby, Go, and Docker. 
• Automatically manages load balancing, scaling, and monitoring. 
• You still retain control over the underlying resources if needed.

Use Cases:

• Web apps and REST APIs 
• Quick app deployment without worrying about servers

Example: Deploy a Python Flask app by uploading your code to Beanstalk, and it handles the rest.

4. Amazon ECS (Elastic Container Service)

ECS lets you run and manage Docker containers at scale on a managed cluster of EC2 instances or Fargate (serverless).

Key Features:

• Integrated with AWS services like IAM, ELB, CloudWatch. 
• Supports EC2 (you manage the infrastructure) or Fargate (AWS manages it). 
• Scalable and suitable for microservices.

Use Cases:

• Containerized applications 
• Batch jobs and scalable workloads

Example: Run a multi-container web app with separate containers for frontend and backend using ECS.

5. Amazon EKS (Elastic Kubernetes Service)

Amazon EKS is a fully managed Kubernetes service that makes it easy to run Kubernetes (K8s) clusters on AWS.

Key Features:

• Fully compatible with standard Kubernetes 
• Manages the control plane for you 
• Integrated with AWS services for security, networking, and scaling

Use Cases:

• Cloud-native, containerized applications 
• Multi-cloud and hybrid Kubernetes workloads

Example: Deploy a Kubernetes cluster to orchestrate microservices using EKS.

6. AWS Fargate – Serverless Containers

AWS Fargate is a serverless compute engine for ECS and EKS. You don’t manage servers or clusters — just define your containers, and Fargate runs them.

Key Features:

• No infrastructure to manage 
• Pay per resource used 
• Works with ECS and EKS

Use Cases:

• Stateless container apps 
• Short-lived tasks or APIs

Use Fargate with ECS to simplify running container workloads without managing EC2 instances.

7. AWS Batch

AWS Batch allows you to run batch processing jobs efficiently on AWS without managing batch computing infrastructure.

Key Features:

• Automatically provisions compute resources 
• Integrated with EC2, Fargate, and Spot instances 
• Works for millions of batch jobs

Use Cases:

• Data transformation 
• Image and video rendering 
• Scientific simulations

Example: Submit a batch job to process large datasets using custom scripts.

8. AWS Outposts

AWS Outposts delivers AWS services and infrastructure on-premises, for applications that need low latency or local data processing.

Key Features:

• Run EC2, EBS, S3 locally 
• Fully managed by AWS 
• Seamlessly connects to AWS Cloud

Use Cases:

• On-premises data residency 
• Edge computing in factories or hospitals

9. AWS Lightsail – Simplified Cloud Hosting

AWS Lightsail is designed for users who want to quickly launch simple web servers, WordPress blogs, or small applications without dealing with complex configurations.

Key Features:

• Fixed pricing bundles (compute, storage, and bandwidth) 
• Simplified UI Great for beginners and small businesses

Use Cases:

• Simple websites 
• Prototyping and small apps 
• Developer learning projects

Example: Launch a WordPress site with a few clicks using Lightsail.

---

Happy Exploring!