Agent skill
infrastructure-cost-optimization
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
Install this agent skill to your Project
npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/infrastructure-cost-optimization
SKILL.md
Infrastructure Cost Optimization
Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
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
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