๐Ÿณ Supercharge Your Docker Workflow with the Container Optimization Tool (COT)

Aman PandeyAman Pandey
3 min read

Managing Docker containers is often a balancing act between performance, security, and cost. Thatโ€™s where the Container Optimization Tool (COT) steps inโ€”a powerful CLI utility designed to analyze, optimize, and secure your Docker images and Dockerfiles with just a few commands.

Whether you're a DevOps engineer, backend developer, or just someone shipping containers at scale, COT helps you optimize your images for size, performance, and security while identifying real cost savings.

๐Ÿ”ง What Is COT?

COT (short for Container Optimization Tool) is a command-line tool that dives deep into your Docker images and Dockerfiles to uncover inefficiencies and vulnerabilities. Think of it as your personal assistant for:

  • Image analysis

  • Dockerfile optimization

  • Security scanning

  • Multi-stage build generation

  • Cost estimation and savings suggestions

GitHub Repo ๐Ÿ‘‰ byteakp/OptiDock


โœจ Key Features

๐Ÿ” Image Analysis

Run a detailed inspection on Docker images and find opportunities to trim down size and boost efficiency.

๐Ÿ—๏ธ Multi-Stage Build Suggestions

Automatically generate best-practice multi-stage Dockerfile templates.

๐Ÿ” Security Scanning

Scan images for vulnerabilities and receive actionable upgrade recommendations.

๐Ÿ“ Dockerfile Optimization

Get line-by-line suggestions to make your Dockerfiles cleaner, faster, and more secure.

๐Ÿ’ธ Cost Estimation

Estimate potential cost savings from storage, transfer, and build time reductions.


โš™๏ธ Installation

bashCopyEdit# Clone the repository
git clone https://github.com/byteakp/OptiDock.git
cd container-optimization-tool

# Install dependencies
pip install -r requirements.txt

# Install the tool
pip install -e .

# Check installation
container-opt --version

๐Ÿš€ Usage

Analyze an Image

bashCopyEditcontainer-opt analyze python:3.9

Analyze with Specific Focus

bashCopyEditcontainer-opt analyze --type security nginx:latest
container-opt analyze --type size node:14
container-opt analyze --type cost postgres:13

Analyze with a Dockerfile

bashCopyEditcontainer-opt analyze --dockerfile ./Dockerfile myapp:latest

Optimize a Dockerfile

bashCopyEditcontainer-opt optimize-dockerfile ./Dockerfile
container-opt optimize-dockerfile ./Dockerfile --output ./Dockerfile.optimized

๐Ÿ“Š Sample Output Preview

yamlCopyEdit================================================================================
๐Ÿณ CONTAINER OPTIMIZATION REPORT FOR python:3.9
================================================================================
๐Ÿ“ฆ Size Reduction Potential: ~195.0 MB
๐Ÿ”’ Vulnerabilities Found: 3
๐Ÿ—๏ธ Multi-Stage Build Recommended: โœ…
๐Ÿ’ฐ Estimated Monthly Savings: $0.31 (for 10 containers)

Suggested Multi-Stage Build:

dockerfileCopyEditFROM python:3.10-slim AS builder
# ... build stage steps ...

FROM python:3.10-slim
# ... runtime stage steps ...

๐Ÿง  Advanced Features

๐Ÿ”ง Configuration File

Set up defaults in a cot.yaml:

yamlCopyEditdefault_optimization_type: size
report_detail_level: high
cost_calculator:
  container_count: 20
  monthly_deployments: 15

๐Ÿ” CI/CD Integration (GitHub Actions)

yamlCopyEdit- name: Analyze Docker image
  run: |
    pip install container-optimization-tool
    container-opt analyze --type all myapp:latest --dockerfile ./Dockerfile

๐Ÿค Contribute

Love the tool? Help it grow!

Submit a pull request or star the repo:
๐Ÿ‘‰ https://github.com/byteakp/OptiDock


๐Ÿ’ฌ Final Thoughts

The Container Optimization Tool isnโ€™t just another Docker analyzerโ€”itโ€™s your all-in-one optimizer, vulnerability scanner, and cost saver wrapped into a developer-friendly CLI. If you're managing containers in production, this tool is an absolute must-have in your DevOps toolkit.

Try it out and streamline your containers today! ๐Ÿณโšก

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Written by

Aman Pandey
Aman Pandey

I am a passionate software engineer specializing in backend development, and full-stack solutions. With expertise in Amazon Web Services (AWS), SQL & Databases, JavaScript, TypeScript, and Python, I build scalable, efficient, and high-performance applications. Currently pursuing Computer Science at Lovely Professional University, I thrive on solving complex challenges and delivering impactful solutions. Always open to collaborations, freelance projects, and tech discussions! ๐Ÿš€