djeada / Docker-Notes

A comprehensive collection of notes on Docker, designed to help you understand and leverage Docker for containerization and DevOps practices. This repository covers a wide range of topics, from basic concepts to advanced techniques, providing valuable insights and practical examples for both beginners and experienced users.

Docker

A comprehensive collection of notes on Docker, designed to help you understand and leverage Docker for containerization and DevOps practices. This repository covers a wide range of topics, from basic concepts to advanced techniques, providing valuable insights and practical examples for both beginners and experienced users.

Notes

Topic	Description	Notes
Docker Intro	An introduction to the basic concepts and components of Docker.
Installation	Step-by-step guide on how to install Docker on different platforms.
Basic Commands	Overview of fundamental commands for Docker usage.
Dockerfile	Instructions and best practices for creating Docker images using Dockerfile.
Networking	Basics of networking within Docker and connecting containers.
Security	Measures and best practices to secure Docker containers and images.
Swarm	Introduction to Docker Swarm, a native clustering and orchestration tool.

Projects

Project	Description	Link
MySQL	A relational database management system (RDBMS) based on SQL.
PostgreSQL	An advanced open-source relational database management system.
MongoDB	A NoSQL database platform for scalable and high-performance needs.
Flask	A lightweight web framework in Python for building web applications.
NodeJS	A runtime environment for executing JavaScript outside of a browser.
VirtualBox Networking	Configuration and management of network settings in VirtualBox.

Scripts

Script Name	Description	Link
docker_image_updater.py	Script to update Docker images.
docker_compose_generator.py	Generates a docker-compose file based on specified parameters.
image_cleaner.py	Script to clean up old or unused Docker images.
container_runner.py	Handles the launching of individual Docker containers.
batch_container_runner.py	Script designed to run multiple Docker containers in batches.
container_resource_monitor.py	Monitors and reports on resource usage (like CPU, memory) of running containers.

Assessing Your Docker Proficiency

Evaluate your Docker understanding and skills using the following benchmarks:

Fundamental Concepts

1. Containerization vs. Virtualization:

   • Distinguish between containers and traditional virtual machines.
   • Recognize how containers optimize performance by sharing the host system's kernel, whereas VMs require their own OS instance.

2. Linux Kernel Components:

   • Understand critical Linux kernel components that power containerization, like cgroups and namespaces.

Practical Knowledge

3. Utilizing Public Docker Images:

   • Pull and execute containers from images on Docker Hub or other public repositories.

4. Crafting Dockerfiles:

   • Write Dockerfiles that adhere to best practices:
     • Optimize layer ordering for caching.
     • Leverage multi-stage builds to reduce image size.
     • Ensure the usage of secure base images and up-to-date dependencies.

5. Docker Compose Mastery:

   • Create docker-compose configurations to manage multiple containerized applications, easing local development and testing setups.

6. Docker Networking:

   • Understand Docker's various networking modes, such as bridge, host, and overlay.
   • Set up communication between containers and define how external systems access them.

Advanced Practices

7. Docker Security:

   • Enforce Docker security best practices:
     • Operate containers as non-root users.
     • Opt for secure and lightweight base images.
     • Consistently scan images for potential vulnerabilities.
     • Use read-only filesystems when suitable.

8. Alternative Containerization Tools:

   • Get acquainted with other container tools beyond Docker:
     • buildkit: A modern approach to building container images.
     • buildah: Constructs OCI-compatible container images.
     • kaniko: Constructs container images from a Dockerfile, suitable for container or Kubernetes environments.

Contributing

Your contributions are valued! For significant updates or changes, initiate an issue for discussion.

Ensure that you adapt tests to reflect your changes where necessary.

License

MIT License