ecs-fargate
✓AWS Fargate serverless container compute for ECS. Covers Fargate vs EC2 decision guide, CPU/memory sizing, platform versions, Fargate Spot cost optimization, Graviton/ARM architecture, networking, and EFS integration. Use when deploying serverless containers, optimizing Fargate costs, sizing Fargate tasks, or choosing between Fargate and EC2 launch types.
Installation
SKILL.md
Complete guide to AWS Fargate serverless container compute, including sizing, optimization, and best practices.
| Management | Serverless | Manual | | Scaling | Automatic | ASG-based | | Pricing | Per vCPU-second | Per instance-hour | | Overhead | None | High | | Control | Limited | Full | | Best For | Variable load | Steady state |
| 0.25 | 512 MB, 1 GB, 2 GB | | 0.5 | 1 GB - 4 GB (1 GB increments) | | 1 | 2 GB - 8 GB (1 GB increments) | | 2 | 4 GB - 16 GB (1 GB increments) | | 4 | 8 GB - 30 GB (1 GB increments) | | 8 | 16 GB - 60 GB (4 GB increments) | | 16 | 32 GB - 120 GB (8 GB increments) |
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/adaptationio/skrillz --skill ecs-fargate- Source
- adaptationio/skrillz
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is ecs-fargate?
AWS Fargate serverless container compute for ECS. Covers Fargate vs EC2 decision guide, CPU/memory sizing, platform versions, Fargate Spot cost optimization, Graviton/ARM architecture, networking, and EFS integration. Use when deploying serverless containers, optimizing Fargate costs, sizing Fargate tasks, or choosing between Fargate and EC2 launch types. Source: adaptationio/skrillz.
How do I install ecs-fargate?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill ecs-fargate Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/adaptationio/skrillz
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01