Can I use persistent storage with Fargate tasks?

Yes, this skill covers the specific configurations required to integrate Amazon EFS for persistent storage and how to manage ephemeral storage up to 200 GB.

Is ARM64/Graviton architecture supported?

Yes, it provides configuration examples for runtime_platform settings to leverage Graviton processors for better price-performance.

When should I choose Fargate over EC2 launch types?

Fargate is recommended for operational simplicity, variable traffic, and rapid scaling needs. EC2 is better for steady-state workloads where utilization exceeds 60% or specific hardware like GPUs are required.

How does this skill help reduce AWS costs?

The skill provides implementation strategies for Fargate Spot (offering up to 70% savings) and ARM/Graviton processors (offering 20% savings), alongside right-sizing guidelines to prevent over-provisioning.

Does this skill support Infrastructure as Code?

Yes, it includes optimized configuration patterns for both Terraform (HCL) and the AWS Python SDK (Boto3) for automated resource deployment.

AWS Fargate for ECS

Name: AWS Fargate for ECS
Author: adaptationio

byadaptationio

Infraestructura en la Nube

Optimizes AWS Fargate deployments through expert sizing, cost-saving strategies like Spot and Graviton, and secure networking patterns.

Acerca de

This skill serves as a comprehensive implementation guide for AWS Fargate serverless container compute, helping developers architect, size, and optimize ECS workloads. It provides technical guidance on selecting CPU and memory configurations, implementing cost-saving measures through Fargate Spot and Graviton/ARM architectures, and managing complex infrastructure requirements like EFS integration and VPC networking. Whether you are migrating from EC2 or building new microservices, this skill ensures your serverless containers are production-ready, cost-effective, and highly scalable.

Características Principales

Infrastructure as Code snippets for Terraform and Boto3
0 GitHub stars
Workload-specific CPU and Memory sizing recommendations
Cost optimization patterns for Fargate Spot and Graviton/ARM
Secure VPC networking configurations and VPC endpoint setup
Fargate vs. EC2 decision frameworks and comparison guides

Casos de Uso

Sizing and deploying new serverless microservices on ECS Fargate
Optimizing existing AWS container costs using Spot instances and Graviton
Configuring secure, private container networking and persistent EFS storage

Acerca de

Características Principales

Infrastructure as Code snippets for Terraform and Boto3
0 GitHub stars
Workload-specific CPU and Memory sizing recommendations
Cost optimization patterns for Fargate Spot and Graviton/ARM
Secure VPC networking configurations and VPC endpoint setup
Fargate vs. EC2 decision frameworks and comparison guides

Casos de Uso

Sizing and deploying new serverless microservices on ECS Fargate
Optimizing existing AWS container costs using Spot instances and Graviton
Configuring secure, private container networking and persistent EFS storage