aws-compute

Plan and optimize AWS compute workloads across EC2, ECS, EKS, Lambda, App Runner, and Elastic Beanstalk.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/tomz/agent-skills --skill aws-compute
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aws-compute
Source: https://github.com/tomz/agent-skills/tree/main/aws-compute
Command: npx skills add https://github.com/tomz/agent-skills --skill aws-compute

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AWS Compute skills provide comprehensive guidance for designing and operating AWS compute services (EC2, ECS, EKS, Lambda, App Runner, Elastic Beanstalk, Lightsail) to help engineers implement scalable infrastructure and efficient deployment patterns.

Core Features & Use Cases

  • EC2 instance type selection and best practices for deployment
  • ECS/Fargate and EC2-based container orchestration
  • EKS Kubernetes management and IaC patterns
  • Lambda serverless functions, aliases, and concurrency strategies
  • App Runner and Elastic Beanstalk for managed app deployment
  • Guidance on security, monitoring, and cost optimization across compute services

Quick Start

Generate a comprehensive AWS compute deployment plan for a multi-service application including EC2, ECS, EKS, Lambda, App Runner, and Elastic Beanstalk.

Frequently Asked Questions about aws-compute

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right AWS compute service for deploying scalable web applications?

Selecting an AWS compute service for scalable web apps involves comparing EC2 for virtual servers, ECS and EKS for container orchestration, and Lambda for serverless architectures based on cost, scaling, and reliability requirements.

What is the best way to plan a batch processing architecture on AWS compute services?

Planning a batch processing architecture on AWS compute services involves configuring EC2 for persistent processing or Lambda for event-driven tasks. The deployment plan includes IAM configurations, networking setups, and best-practice patterns to optimize cost and throughput for batch workloads.

Can I manage EKS Kubernetes deployments and IaC patterns using this AWS compute guidance?

Yes, this AWS compute guidance covers EKS Kubernetes management and infrastructure as code deployment patterns. It embeds IAM configurations, networking setups, and best practices to help engineers implement scalable microservices infrastructure on EKS.

How do I configure IAM and networking setups for multi-service AWS compute workloads?

Configuring IAM and networking for AWS compute workloads requires defining access policies and deployment patterns across EC2, ECS, EKS, and Lambda. The setup ensures secure, reliable operation across microservices and serverless architectures.

Does this AWS compute guidance cover cost and scaling optimization for serverless Lambda architectures?

Yes, this AWS compute guidance covers cost and scaling optimization for serverless Lambda architectures. It addresses Lambda serverless functions, aliases, and concurrency strategies to ensure efficient deployment and reliable operation for event-driven workloads.

When should I use App Runner or Elastic Beanstalk instead of ECS or EKS for application deployment?

Use App Runner or Elastic Beanstalk for managed application deployment when you want to reduce operational overhead, whereas ECS and EKS provide granular control over container orchestration. This AWS compute guidance helps differentiate based on your deployment and scaling needs.