Database Storage Distribution

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

# Database tables (in GB)
labels = ['user_events', 'transactions', 'products', 'user_profiles',
          'analytics_logs', 'sessions', 'audit_trail', 'media_files',
          'search_index', 'cache_data']
sizes = [280, 195, 85, 120, 165, 55, 95, 145, 75, 45]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#F5276C', '#27D3F5', '#6CF527', '#F5B027', '#5314E6',
          '#276CF5', '#F54927', '#27F5B0', '#C82909', '#F527B0']

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n{s}GB ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.85, ax=ax,
              text_kwargs={'fontsize': 9, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'Production Database Storage - {total/1000:.2f} TB Total', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()