Server Cluster Resource Usage

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

# Resource usage (CPU cores equivalent)
labels = ['API Gateway', 'Database Cluster', 'Web Servers', 'ML Pipeline',
          'Message Queue', 'Cache Layer', 'Search Engine', 'Monitoring',
          'CI/CD', 'Logging']
sizes = [48, 64, 32, 96, 24, 16, 28, 12, 20, 18]
total = sum(sizes)

# CLAUDE.md neon colors
colors = ['#27D3F5', '#F5276C', '#6CF527', '#5314E6', '#F5B027',
          '#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} cores ({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'Server Cluster Resources - {total} CPU Cores', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()