Server CPU Usage Distribution

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(59)

# CPU usage percentages (bimodal - idle vs busy)
idle = np.random.beta(2, 8, 400) * 100
active = np.random.beta(5, 3, 600) * 100
cpu = np.concatenate([idle, active])

kde = stats.gaussian_kde(cpu)
x = np.linspace(0, 100, 500)
y = kde(x)

fig, ax = plt.subplots(figsize=(12, 6), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Color by utilization level
for i in range(len(x)-1):
    if x[i] < 30:
        color = '#27D3F5'  # Low - cyan
    elif x[i] < 60:
        color = '#6CF527'  # Moderate - lime
    elif x[i] < 80:
        color = '#F5B027'  # High - amber
    else:
        color = '#F5276C'  # Critical - coral
    ax.fill_between(x[i:i+2], y[i:i+2], alpha=0.6, color=color)

ax.plot(x, y, color='#27D3F5', linewidth=3)
ax.plot(x, y, color='#27D3F5', linewidth=8, alpha=0.2)

# Threshold lines
ax.axvline(80, color='#F5276C', linestyle='--', linewidth=2, label='Critical (80%)')
ax.axvline(60, color='#F5B027', linestyle='--', linewidth=1.5, alpha=0.7, label='Warning (60%)')

ax.set_xlabel('CPU Usage (%)', fontsize=12, color='white', fontweight='500')
ax.set_ylabel('Density', fontsize=12, color='white', fontweight='500')
ax.set_title('Server CPU Utilization Distribution', fontsize=16, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#334155')
ax.legend(loc='upper right', facecolor='#1e293b', edgecolor='#334155', labelcolor='white')
ax.grid(True, alpha=0.1, color='white')
ax.set_xlim(0, 100)

plt.tight_layout()
plt.show()