dockwatch 1.0

🛡️ DockWatch - Docker container monitoring and image analysis cli tool.

🛡️ DockWatch

Docker container monitoring and image analysis CLI tool

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🚀 Overview

DockWatch is a powerful yet beginner-friendly CLI tool to monitor your Docker containers, analyze crashes, and inspect Docker image layers for optimization. It provides real-time alerts for container status changes, crash analysis with clear explanations, and an interactive Dockerfile creator to help you build optimized images.

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Features

• 🛡️ Real-time container monitoring: Track container status changes (running, exited, created) with easy-to-understand alerts.
• 💥 Crash analysis: Detect container crashes with clear explanations based on exit codes and logs.
• 📊 Docker image analyzer: Inspect image layers for size and bloat, with smart tips for optimization.
• 🐳 Multi-runtime support: Works well with Node.js, Python, Go, Java, Ruby, PHP, and .NET images.
• 🔧 Dockerfile Creator: Interactive session to generate optimized single-stage or multi-stage Dockerfiles for various runtimes.
• 🎨 Beautiful, color-coded console output powered by Rich.

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Installation

You can install DockWatch directly from PyPI:

pip install dockwatch

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Usage

Monitor containers

Monitor running containers by name:

dockwatch monitor [container1] [container2] ...

Add the --show-logs or -l flag to show logs on crashes:

dockwatch monitor backend frontend --show-logs

Analyze Docker images

Analyze a local Docker image to identify large layers and optimize size:

dockwatch analyze [my-image:latest]

Create Dockerfiles interactively

Generate Dockerfiles with guided prompts (supports multi-stage builds):

dockwatch create

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Supported Runtimes

• Node.js
• Python
• Go
• Java
• Ruby
• PHP
• .NET Core

Examples

# Monitor containers
dockwatch monitor backend --show-logs

# Analyze image layers
dockwatch analyze node:18-alpine

# Create Dockerfile
dockwatch create

Contributing

Contributions and issues are welcome! Feel free to open a pull request or issue on GitHub.

License

This project is licensed under the MIT License.

Contact

For questions or support, email: [e-mail]