Cloud Infrastructure Costs

import matplotlib.pyplot as plt
import squarify
import numpy as np

# Cloud costs (in dollars)
labels = ['Compute (EC2)', 'Storage (S3)', 'Database (RDS)', 'Networking',
          'Containers (EKS)', 'Serverless', 'CDN', 'Monitoring', 'Security']
sizes = [12500, 4800, 6200, 3500, 5800, 2200, 1800, 1500, 1200]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#276CF5', '#6CF527', '#F5276C', '#5314E6', '#F5B027',
          '#27D3F5', '#F54927', '#27F5B0', '#C82909']

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n${s:,} ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.9, ax=ax,
              text_kwargs={'fontsize': 9, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'Monthly Cloud Costs - ${total:,} Total', 
             fontsize=18, color='#1f2937', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()