Docker virtualization technology for DevOps (Private Harbor Registry)

💡 Take your first step towards becoming a container virtualization expert in DevOps.

• Understand container virtualization technology and learn how to deploy applications by separating them into multiple containers.

• We use a variety of images to explain concepts and deliver content in an easy-to-understand manner.

  
  
  

  
  

• This course is designed to allow you to combine theory and practice. It is not limited to theoretical lectures, but is designed to allow you to directly test the concepts explained in each section through practical training, and is designed to allow you to easily practice examples even if you do not have advanced knowledge of programming or infrastructure.

  
  

  

  
  

• All hands-on examples are structured so that you can practice based on the content described in each section, and you can learn about the process of managing a 3-tier web application consisting of Frontend + Backend + Database using Docker and Docker Compose technology, using a simple Toy project as an example.

• The basic web application is configured using React.js for the frontend service, Spring Boot for the backend service, and Mariadb for the database. However, rather than running a practical example based on an understanding of programming, it explains the example so that you can practice it with the content required for Docker virtualization technology.

💡 From Beginner to Master

• This course is designed to help you understand the basics of container virtualization, while also learning the essential technologies needed to deploy and operate web applications in a virtualized form.

• We are learning about everything from creating simple Docker images and containers, to using Docker Compose to manage multiple containers, Docker Orchestration to manage containers on multiple hosts, and how to integrate with CI/CD.

• In addition, it introduces the security aspects of Docker Images, building Docker images on multiple platforms, managing logging messages of Docker containers, and managed container technology for using containers in cloud environments.

• This course is designed to be a final Capstone Project for all the courses you have studied, and to allow you to indirectly experience and practice the environment you work in through linking with various services consisting of web applications and open source.

💡 Anyone interested in container virtualization technology as well as deployment and operation of Microservice applications!

• If you are curious about what steps are involved in continuous deployment after the application development process to deploy it to the production environment.

• Anyone interested in container virtualization technology and wanting to grow as a DevOps engineer

• Anyone interested in Docker Orchestration tools for multi-container operation and container resource management

• Anyone who wants to operate a service by utilizing the Rolling Update and Rollback functions of containers even without using a specialized orchestration tool such as Kubernetes

💡 Please write about the changes you will experience by taking this course.

• This lecture will help you understand container virtualization technology.

• Developers and those interested in development can understand if their applications can be run and operated in a virtualized environment.

• You can learn about technologies and processing methods for operating various multi-containers.

• You can get hands-on experience on how to apply Docker virtualization technology in a CI/CD environment.

Practice environment

• The lecture is based on MacOS. If you have Docker Desktop installed in a Windows 10 or Windows 11 environment, you can follow most of the practical examples.

• In this lecture, we will practice running various Docker container images. We recommend that you prepare at least 8GB of memory (16GB or more recommended) and 100GB or more of free storage space before practicing.

• In this lecture, we will use Visual Studio Code to check and modify some of the scripts and codes used in the practice.

• We provide images in the Dind (Docker in Docker) format to practice the Docker Swarm environment by configuring various multi-hosts.

  • Dind images are provided by education providers in MacOS Intel chip, MacOS Apple chip, Windows 10, Windows 11, and Ubuntu versions. However, errors may occur in running the Dind images depending on the environment used by the student.

    
    

• To configure and run a VM environment rather than using the Dind image for the practical environment used in this lecture, you can refer to the separately provided Inflearn lecture for free.

  • Guide to building a virtual environment for multi-OS use (Docker + Kubernetes)

    
    

Learning Materials

• The practical example code used in the lecture is shared through Github.

  • https://github.com/joneconsulting/devops-docker

    
    

  • An example has been created by separating the branches for each section.

  • Lecture notes are included in the pdfs branch.

    
    

Player Knowledge and Notes

• Basic knowledge of IT services

• Understanding terms such as Client, Server, and Cloud

• Basic understanding of web services and web applications (what they mean and how they work)

• Windows environment users) CMD commands (dir, curl, ping, ipconfig, etc.)

• (MacOS environment users) Terminal commands (ls, curl, ping, ifconfig, etc.)

• (Common) Since we will be using VIM, a document editing tool for the Linux environment, in class, it would be more efficient to learn the basics of how to use it.

💡 You must have the following programs installed to run the practical examples used in this lecture.

1. Practice environment

   • Operating System and Version (OS): Windows 10, Windows 11 available, MacOS Intel chip, MacOS Apple chip available

   • Tools to use: Install Docker Desktop for each operating system (the installation process is practiced in the lecture)

   • Editor: Visual Studio Code

   • PC specifications: CPU Intel i5+, memory 8GB+ (16GB or more recommended), disk 100GB+ are the minimum specifications to run the program.

2. Learning Materials

   • The learning materials provided will include hands-on examples and PDF lecture notes, which will be available via Github.

   • It consists of 11 sections in total.

3. Player Knowledge and Notes

   • Learning Difficulty: Beginner level course with basic knowledge of IT services and basic command usage in command prompt or terminal.

     
     

   • Please use the Q&A board to post questions about the lecture.

   • Updates to lecture content and practical examples will be shared in future update-related posts.

   • The copyright of the practical examples and lecture content used in this lecture belongs to the lecture provider. You are free to share the content and practical examples used in the lecture through the Internet, but if possible, please share them in advance and then make them public.