Docker Swarm for Real-World Practice

Through this lecture, you can systematically learn core concepts such as the basic concepts and characteristics of queues, fields of application, problem-solving strategies, practical example code (Python), and advanced queue utilization techniques.

Through this course, you can systematically learn core concepts such as the basic principles and necessity of Rebase, Rebase with remote branches, conflict resolution, advanced Rebase techniques, and application strategies for various Rebase scenarios.

Through this course, you can systematically learn core concepts such as Docker network basics, communication methods between containers, network configuration using Docker Compose, volume mounting and network sharing, and network settings using Dockerfiles.

Through this lecture, you can systematically learn core concepts such as the basic principles and implementation of stacks, stack applications: function calls (Call Stack), stack applications: expression evaluation, stack applications: parenthesis matching, and stack applications: implementing Undo/Redo functions.

Through this course, you can systematically learn core concepts such as basic Docker Compose concepts, the structure of the docker-compose.yml file, frequently used options, examples of multi-container application configurations, and how to utilize Docker Compose commands.

Through this lecture, you can systematically learn core concepts such as the types and characteristics of volumes, commands for creating and managing volumes, methods for connecting containers and volumes, strategies for ensuring data persistence, and precautions when using volumes.

Through this course, you can systematically learn core concepts such as basic concepts and implementation, insertion operations, deletion operations, search and utilization, and practical examples and applications.

Through this lecture, you can systematically learn core concepts such as an overview of Git Cherry Pick, basic Cherry Pick commands, resolving Cherry Pick conflicts, advanced Cherry Pick usage, and precautions when using Cherry Pick.

Through this course, you can systematically learn core concepts such as understanding basic Dockerfile commands, Dockerfile optimization techniques, practical examples and patterns, advanced topics, and troubleshooting and debugging.

Through this course, you can systematically learn core concepts such as basic tree concepts and data structures, search algorithms, tree application algorithms, advanced tree structures and applications, and practical problem-solving strategies.

Through this course, you can systematically learn core concepts such as the concept of Git submodules, adding Git submodules, initializing and updating Git submodules, checking Git submodule status, and modifying and committing Git submodules.

Through this course, you can systematically learn core concepts such as understanding Docker Context, context management commands, practical application scenarios, advanced techniques, troubleshooting, and precautions.

Through this course, you can systematically learn core concepts such as basic Docker Compose concepts, the structure of the docker-compose.yml file, frequently used options, examples of multi-container application configurations, and how to utilize Docker Compose commands.

Through this course, you can systematically learn core concepts such as understanding basic Dockerfile commands, Dockerfile optimization techniques, practical examples and patterns, advanced topics, and troubleshooting and debugging.

Through this course, you can systematically learn core concepts such as understanding Docker Context, context management commands, practical application scenarios, advanced techniques, troubleshooting, and precautions.

Through this course, you can systematically learn core concepts such as Docker network basics, communication methods between containers, network configuration using Docker Compose, volume mounting and network sharing, and network settings using Dockerfiles.

Through this lecture, you can systematically learn core concepts such as the types and characteristics of volumes, commands for creating and managing volumes, methods for connecting containers and volumes, strategies for ensuring data persistence, and precautions when using volumes.

This is for those who want to deploy/operate services with AWS. From domain settings to Docker and serverless!

Learn from the beginning how to set up a development environment that even an ordinary office worker can easily understand. It is practice-oriented and focuses on students learning various development tools such as Vim, VS Code, Git, Docker, and remote development. You can learn how to build an efficient development environment by learning step-by-step from the basic usage of each development tool to advanced functions.

This is a 'Practical Linux Troubleshooting Course' where you analyze and solve problems together with generative AI, based on a Docker practice environment that reproduces 5 representative failures that occur in actual Linux operating environments. Even those who were overwhelmed about where to start examining problems can learn the problem-solving approach and thought process of field engineers through AI guidance.

A solo IT startup founder and solo entrepreneur's experience distilled into an honest, straightforward, intuitive, and deep React + Spring Boot course (Docker, AWS, GitHub Actions) I just unified everything into this one course.

Instead of long and boring theories, you can learn them one by one through short practical exercises, and as you flesh them out one by one, you will soon be able to experience the overall architecture composition.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

Ghost In the N8N - AI Automation Workflow (AI automation flow through the N8N framework) You will gain the foundational knowledge needed for practical work & business automation in the AI era, along with guides you can use immediately in real-world applications!

In this course, you will be able to create a Reddit website from scratch, step by step.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

You may have felt frustrated using Redis without being able to explain why it should be designed that way or why certain patterns emerged. Through my experience in both practical development and as an interviewer, I have treated Redis not just as a simple cache, but as a core component that determines service stability and scalability. This course is not about memorizing commands; instead, I will share my experiences on which structures to choose in real traffic environments and their trade-offs, helping you establish the criteria to explain these concepts confidently in both interviews and practical work.

This course is Part 3 of the Full Stack lecture series, designed to help you solidly master the latest server technologies and Docker. The course is structured to enable you to practically incorporate Docker into your tech stack by meticulously testing Docker's various options, learning related technologies such as Linux that are necessary for understanding Docker, and building actual complex services.

Build a local LLM with RAG-based Q&A system in just 2 hours of hands-on practice using Docker + ollama + R2R framework. (Suitable for in-house/internal Q&A systems, personal portfolios, AI-powered work capabilities, and even commercial services)

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

When you're doing backend development, at some point you face this dilemma. As services grow and traffic increases, there comes a moment when simple REST communication and CRUD structures feel limiting. I experienced the same problem in real-world work and went through many trials and errors between performance and structural complexity. The solution I chose in that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides just the right amount of essential features for real work—from Pub/Sub to Queue Groups and JetStream—made it a very practical choice in actual service environments. This course is not about listing NATS features. Based on the problems I faced in real work, I explain with code and flow diagrams which situations led me to choose NATS, why, and how I designed the architecture. This is a course designed to help everyone—from those new to messaging systems, to backend developers preparing for jobs, to senior developers contemplating better architectures—understand distributed systems and grow to the next level.