K8s Pod CPU Usage

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)
services = ['Auth', 'API Gateway', 'Database', 'Cache', 'Worker']
data = [
    np.random.beta(2, 8, 1440) * 100,
    np.random.beta(3, 5, 1440) * 100,
    np.random.beta(4, 4, 1440) * 100,
    np.random.beta(2, 10, 1440) * 100,
    np.random.beta(5, 3, 1440) * 100
]

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor('#0d1117')
fig.patch.set_facecolor('#0d1117')

colors = ['#4927F5', '#27D3F5', '#F5276C', '#6CF527', '#F5B027']
bp = ax.boxplot(data, widths=0.6, patch_artist=True, showfliers=True,
                flierprops=dict(marker='.', markerfacecolor='#C82909', markersize=4, alpha=0.3),
                medianprops=dict(color='#F5D327', linewidth=2))

for patch, color in zip(bp['boxes'], colors):
    patch.set_facecolor(color)
    patch.set_alpha(0.8)
    patch.set_edgecolor('white')
for i, color in enumerate(colors):
    bp['whiskers'][i*2].set_color(color)
    bp['whiskers'][i*2+1].set_color(color)
    bp['caps'][i*2].set_color(color)
    bp['caps'][i*2+1].set_color(color)

ax.axhline(80, color='#9C2007', linewidth=1.5, linestyle='--', alpha=0.8, label='Warning: 80%')
ax.set_xticklabels(services, rotation=15, ha='right')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#333333')
ax.spines['bottom'].set_color('#333333')
ax.yaxis.grid(True, color='#1a1a3f', linewidth=0.5, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors='#888888', labelsize=9, length=0, pad=8)
ax.set_ylabel('CPU Utilization (%)', fontsize=11, color='white', fontweight='500')
ax.set_title('Kubernetes Pod CPU Distribution', fontsize=14, color='white', fontweight='bold', pad=15)
ax.legend(loc='upper right', facecolor='#0d1117', edgecolor='#333333', labelcolor='white')

plt.tight_layout()
plt.show()