Choosing an AWS Compute Service

Purpose

• Determine the best AWS compute service for your organization.

Services Covered

• Amazon EC2
• Amazon EC2 Spot Instances
• Amazon EC2 Auto Scaling
• AWS Batch
• AWS Elastic Beanstalk
• Amazon Elastic Container Service (Amazon ECS)
• Amazon ECS Anywhere
• Amazon Elastic Container Registry
• Amazon Elastic Kubernetes Service (Amazon EKS)
• Amazon EKS Anywhere
• AWS Fargate
• AWS Lambda
• AWS Local Zones
• AWS Dedicated Local Zones
• AWS Outposts
• AWS Wavelength
• Savings Plans
• AWS Compute Optimizer
• EC2 Image Builder
• Elastic Load Balancing
• Amazon Lightsail

Introduction

• AWS compute services provide scalable computing power for modern applications.
• Important to choose the right service for tasks such as web app requests or data-intensive algorithms.
• Examples of services: EC2, Elastic Beanstalk, AWS Lambda, ECS, EKS, Fargate, and Batch.
• Utilize multiple types for optimal advantages.

Understanding AWS Compute Services

• Amazon EC2: Resizable virtual servers.
• Elastic Beanstalk: Deploy web applications straightforwardly.
• AWS Lambda: Run code without managing servers.
• ECS & EKS: Container orchestration.
• AWS Fargate: Serverless containers.
• AWS Batch: Batch computing.
• AWS Local Zones & Outposts: Infrastructure for low latency and local data.
• EC2 Auto Scaling: Adjusts capacity automatically.

Amazon EC2 Services

• Wide variety of instance types for different workloads.
• Options include general purpose, compute optimized, memory optimized, etc.
• EC2 Auto Scaling: Maintains availability with scaling policies.
• EC2 Image Builder: Automates server image creation and management.

AWS Elastic Beanstalk

• Supports multiple programming languages and Docker platforms.
• Simplifies application deployment.

Amazon Lightsail

• Simplified web application building with instances and container services.

Container Services

• Amazon ECS: Managed container orchestration.
• Amazon EKS: Managed Kubernetes service.
• Options to run containers on EC2 or Fargate.
• Amazon ECR: Managed Docker container registry.

Serverless Compute

• AWS Fargate: Run containers without managing servers.
• AWS Lambda: High-availability code execution without server maintenance.

On-premises and Edge Compute

• AWS Local Zones: Resources close to population centers.
• AWS Outposts: Extends AWS infrastructure on-premises.
• AWS Wavelength: Low latency applications for mobile devices.

Cost Optimization

• Savings Plans: Reduces costs with usage commitments.
• AWS Compute Optimizer: AI/ML analytics for cost management.
• Amazon EC2 Spot Instances: Discounted unused capacity.

Elastic Load Balancing

• Distributes traffic across targets for availability.
• Application Load Balancer: Operates at the application layer.
• Network Load Balancer: Handles millions of requests per second.
• Gateway Load Balancers: Deploy and manage virtual appliances.

Key Considerations

• Workload type and requirements
• Performance and scalability
• Management overhead and cost optimization
• Latency, throughput, and compliance

Choosing the Right Service

• Match workload characteristics with service capabilities for efficiency.
• Categories and optimized use cases:
  • Amazon EC2: High-performance computing.
  • Container services: Focus on application building.
  • Serverless compute: Minimize management overhead.
  • On-premises and edge: Low latency needs.
  • Cost optimization: Reduce AWS costs.

Tutorials and Resources

• Amazon EC2 tutorials for Linux and Windows.
• AWS Batch setup and deep dive.
• AWS Fargate and Lambda guides.
• AWS Outposts implementation planning.
• Cost management decision guides.
• Elastic Load Balancing tutorials.

Exploration

• Architecture diagrams, whitepapers, and AWS solutions for further understanding and application.