Productivity

infrastructure-cost-optimization

aj-geddes/useful-ai-prompts · updated Apr 8, 2026

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill infrastructure-cost-optimization
summary

Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.

skill.md

Infrastructure Cost Optimization

Table of Contents

Overview

Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.

When to Use

  • Cloud cost reduction
  • Budget management and tracking
  • Resource utilization optimization
  • Multi-environment cost allocation
  • Waste identification and elimination
  • Reserved instance planning
  • Spot instance integration

Quick Start

Minimal working example:

# cost-optimization-setup.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: cost-optimization-scripts
  namespace: operations
data:
  analyze-costs.sh: |
    #!/bin/bash
    set -euo pipefail

    echo "=== AWS Cost Analysis ==="

    # Get daily cost trend
    echo "Daily costs for last 7 days:"
    aws ce get-cost-and-usage \
      --time-period Start=$(date -d '7 days ago' +%Y-%m-%d),End=$(date +%Y-%m-%d) \
      --granularity DAILY \
      --metrics "BlendedCost" \
      --group-by Type=DIMENSION,Key=SERVICE \
      --query 'ResultsByTime[*].[TimePeriod.Start,Total.BlendedCost.Amount]' \
      --output table

    # Find unattached resources
    echo -e "\n=== Unattached EBS Volumes ==="
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
AWS Cost Optimization Configuration AWS Cost Optimization Configuration
Kubernetes Cost Optimization Kubernetes Cost Optimization
Cost Monitoring Dashboard Cost Monitoring Dashboard

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values