Docker Image Layer Structure

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(12, 10), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Inner ring - Image layers
layer_sizes = [35, 25, 25, 15]
layer_labels = ['Base OS', 'Runtime', 'Dependencies', 'App Code']
layer_colors = ['#5314E6', '#27D3F5', '#F5B027', '#6CF527']

# Outer ring - Specific components
comp_sizes = [15, 12, 8, 10, 8, 7, 12, 8, 5, 8, 7]
comp_colors = ['#5314E6', '#7B4DFF', '#9C7AFF',
               '#27D3F5', '#5CE8FF', '#8CF2FF',
               '#F5B027', '#FFCC5C', '#FFD98C',
               '#6CF527', '#8FFF5C']

wedges_outer, _ = ax.pie(comp_sizes, radius=1, colors=comp_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

wedges_inner, _ = ax.pie(layer_sizes, radius=0.7, colors=layer_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

# Add layer labels
for i, (wedge, label) in enumerate(zip(wedges_inner, layer_labels)):
    ang = (wedge.theta2 - wedge.theta1) / 2 + wedge.theta1
    x = 0.55 * np.cos(np.radians(ang))
    y = 0.55 * np.sin(np.radians(ang))
    ax.text(x, y, label, ha='center', va='center', fontsize=10, 
            color='white', fontweight='bold')

centre_circle = plt.Circle((0, 0), 0.4, fc='#0a0a0f', ec='#334155', linewidth=2)
ax.add_artist(centre_circle)
ax.text(0, 0, 'Image\n1.2 GB', ha='center', va='center',
        fontsize=14, color='white', fontweight='bold')

# Legend
comp_labels = ['Ubuntu 22.04', 'System Libs', 'CA Certs', 'Python 3.11', 
               'Node 20', 'Configs', 'pip packages', 'npm modules', 
               'System deps', 'Source Code', 'Static Assets']
ax.legend(wedges_outer, comp_labels, loc='center left', bbox_to_anchor=(1.05, 0.5),
          fontsize=9, frameon=True, facecolor='#1e293b', edgecolor='#334155',
          labelcolor='white', title='Components', title_fontsize=10)

ax.set_title('Docker Image Layers', fontsize=18, color='#f8fafc',
             fontweight='bold', pad=20)

plt.tight_layout()
plt.show()