DevOps & Infrastructure

AWS EC2 Management

Launch, configure, and manage EC2 instances with AI-assisted security groups, user data scripts, and instance lifecycle management.

Claude Code Codex Cursor Gemini CLI

Overview

Amazon EC2 provides resizable compute capacity in the cloud and remains the foundation of many production deployments. AI agents can help you launch instances with the right instance type, configure security groups with minimal open ports, write user data scripts for automated provisioning, and manage instance lifecycle including start, stop, and termination schedules.

AI coding agents are valuable for EC2 management because the AWS CLI commands involve many parameters that are easy to misconfigure. Your agent can generate launch commands with proper AMI selection, key pair configuration, VPC and subnet placement, and IAM instance profiles. It can create security groups with precise ingress and egress rules, write cloud-init scripts that install dependencies and configure applications on boot, and set up auto-scaling groups with launch templates.

For cost optimization, your AI agent can recommend instance types based on your workload, suggest Reserved Instance or Savings Plan strategies, identify idle instances, and set up scheduled scaling policies. The agent can also help with common operational tasks like SSH key rotation, EBS volume management, and AMI creation for golden images.

Who Is This For?

Developers launching and configuring EC2 instances for application hosting
DevOps engineers writing user data scripts for automated instance provisioning
Teams setting up auto-scaling groups with proper launch templates
System administrators managing security groups and network ACLs

Installation

Setup for Claude Code

Install AWS CLI: brew install awscli
Configure: aws configure
Claude Code runs aws ec2 commands directly

Configuration

# Launch an EC2 instance
aws ec2 run-instances \
  --image-id ami-0abcdef1234567890 \
  --instance-type t3.micro \
  --key-name my-key \
  --security-group-ids sg-0123456789abcdef0 \
  --subnet-id subnet-0123456789abcdef0 \
  --user-data file://init.sh \
  --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=my-app}]"