Does this skill support Graviton/ARM architecture?

Yes, it provides configuration patterns for AWS Graviton (ARM64), which typically offers 20% better price-performance compared to standard x86 architectures.

When should I choose Fargate over EC2?

Choose Fargate for operational simplicity, microservices, and variable loads. Choose EC2 for steady-state workloads requiring specific instance types (like GPUs) or where you need full control over the underlying host.

How much can I save using Fargate Spot?

Fargate Spot offers up to a 70% discount compared to on-demand pricing. It is ideal for fault-tolerant workloads like batch processing, CI/CD, or development environments.

Can Fargate tasks access persistent storage?

Yes, Fargate supports persistent storage through Amazon EFS (Elastic File System). This skill includes implementation guides for mounting EFS volumes to your container tasks.

AWS Fargate for ECS

Name: AWS Fargate for ECS
Author: adaptationio

byadaptationio

Infraestructura en la Nube

Optimizes AWS ECS Fargate deployments with expert guidance on sizing, cost-saving strategies, and infrastructure configurations.

Acerca de

This skill provides comprehensive architectural guidance and implementation patterns for AWS Fargate, the serverless compute engine for Amazon ECS. It enables developers to efficiently navigate the Fargate vs. EC2 decision, determine optimal CPU and memory sizing, implement cost-saving measures like Fargate Spot and Graviton architectures, and configure complex networking or persistent storage with Amazon EFS. Whether you are building new microservices or optimizing existing container workloads, this skill ensures your infrastructure is performant, secure, and cost-effective.

Características Principales

Expert task sizing and CPU/memory configuration recommendations
Cost optimization through Fargate Spot and ARM/Graviton architecture
Persistent storage integration patterns using Amazon EFS
0 GitHub stars
Infrastructure-as-Code patterns for Terraform and Boto3
Secure networking and VPC endpoint configuration guidance

Casos de Uso

Deploying production-grade serverless container applications on AWS
Right-sizing ECS tasks based on application performance metrics
Reducing cloud spend by migrating to Fargate Spot or Graviton instances

Acerca de

Características Principales

Expert task sizing and CPU/memory configuration recommendations
Cost optimization through Fargate Spot and ARM/Graviton architecture
Persistent storage integration patterns using Amazon EFS
0 GitHub stars
Infrastructure-as-Code patterns for Terraform and Boto3
Secure networking and VPC endpoint configuration guidance

Casos de Uso

Deploying production-grade serverless container applications on AWS
Right-sizing ECS tasks based on application performance metrics
Reducing cloud spend by migrating to Fargate Spot or Graviton instances