https://github.com/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.
https://github.com/djeada/docker-notes
Last synced: 7 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/djeada/docker-notes
- Owner: djeada
- Created: 2021-04-20T18:02:00.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-05-04T19:43:58.000Z (8 months ago)
- Last Synced: 2025-05-04T20:32:35.054Z (8 months ago)
- Language: Python
- Homepage:
- Size: 89.8 KB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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](https://choosealicense.com/licenses/mit/)