This repository contains a collection of Docker labs and exercises to help you learn and practice Docker concepts and techniques. Whether you are a beginner or an experienced Docker user, these labs will provide hands-on experience to deepen your understanding and improve your skills with Docker.
- Introduction
- Requirements
- Getting Started
- Lab List
- Contributing
- License
Docker Labs is a curated set of exercises designed to cover various aspects of Docker, including container management, networking, image creation, Docker Compose, and more. Each lab is self-contained and focuses on a specific topic, providing clear instructions and sample solutions.
The labs are suitable for both individual learning and classroom settings, allowing you to progress at your own pace and explore Docker in a practical manner. By completing these labs, you will gain confidence in working with Docker and acquire the skills necessary to build and deploy containerized applications.
To run the labs in this repository, you will need the following:
Docker: Make sure you have Docker installed on your system. You can download and install Docker from the official website: https://www.docker.com/ Getting Started
git clone https://github.com/mdsami/docker-labs.git
Change to the repository directory:
cd docker-labs
Feel free to explore and experiment with the labs. Docker Labs is designed to provide a hands-on learning experience, so don't hesitate to try out different approaches and solutions.
- Lab 1: Introduction to Docker
- Lab 2: Docker Images and Containers
- Lab 3: Docker Networking
- Lab 4: Docker Volumes and Data Management
- Lab 5: Docker Compose
- Lab 6: Docker Swarm Mode
- ELK
- Metabase and Postgres
- Parse and Parse Dashboard
- MYSQL and Phpmyadmin
- Jenkins
- RabbitMQ
- Rancher
- Traefik
- Orange hrm
Each lab is self-contained in its own directory and includes a README.md file with detailed instructions on the lab exercises.
Contributions to Docker Labs are welcome! If you have an idea for a new lab or an improvement to an existing lab, feel free to submit a pull request. Please refer to the contributing guidelines for more information.
This repository is licensed under the MIT License. See the LICENSE file for more details.