MSA service monitoring dashboard that can be easily configured even by non-specialists

In this lecture, we will discuss how to reduce resources for server-to-server communication by implementing RPC and gRPC communications used in actual practice.

This lecture covers the process of configuring a custom Gateway API using yaml.

It covers not only how to configure CRUD using Golang, but also how to use PostMan when collaborating with the front-end, and even repository management and environment construction! It contains the knowledge necessary for actual work.

You can learn about implementing webcam and peer-to-peer communication using WebRTC.

In this course, you will learn how to create a Discord Bot. You can learn from simple messages to complex complexes.

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

We will inform you about the platform mass adoption method using AWS (S3, CloudFront) and MySQL (Geospatial Query).

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

I'll show you everything about how to build servers for stateful services and how zero-downtime deployment works.

In this lecture, we aim to create a Web Scraping API server using the Naver Shopping site. We will show you how to configure a managed API server by connecting MySQL and configuring a 3-tier architecture!!

This is a lecture about learning WebSocket communication for chat servers used in streaming platforms and actually implementing it.

This is a content about backend development using two databases, MySQL and Mongo, for job seekers preparing for backend employment.

In this lecture, we will actually implement the core module of the blockchain indirectly through code. Through this process, you can learn in detail what the blockchain is and how it works. Actually, as someone who studies blockchain and works on blockchain-related tasks, most lectures focus on theoretical content or on using some functions called smart contracts. I wanted to make a difference from these lectures, so I prepared it so that you can indirectly create the core module by following my lectures one by one.

You will learn how to write queries against large amounts of data using MongoDB.

With the price of a chicken combo, you'll learn the deployment process in order: Spring Boot manual deployment -> Docker deployment -> Github Action CI/CD!

A new curriculum that incorporates the experiences of working developers using Docker, providing lectures that are different from existing textbooks and lectures. It starts from the fundamental question of why Docker should be used, rather than simple command usage.

This lecture covers the process of configuring a custom Gateway API using yaml.

Learn about configuring an MSA server using Spring Cloud.

Learn how to model data in a distributed database environment.

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.

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.

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

This course is built from real-world experience designing and deploying production-grade LLM applications on Azure. Rather than focusing on toy examples or isolated notebooks, I guide students through the exact challenges they face when moving from experimentation to real systems: data ingestion, vector storage, service orchestration, cloud deployment, and security. Throughout the course, I break down complex Azure services into clear, practical steps, explain why each architectural decision is made, and show how components work together in a scalable system. Students learn by building, debugging, and deploying a complete LangChain-based application, gaining confidence in solving real infrastructure and application-level problems.

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

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.

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.

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)

Learn SAGA transaction management techniques for maintaining data consistency in distributed environments through hands-on practice. Build 3 microservices using Spring Boot and Docker, and implement both Orchestration and Choreography patterns with Kafka and MySQL. Through this course, you can master core concepts that are immediately applicable in real-world scenarios, including distributed transaction operation principles, compensating transaction design, and failure recovery handling.

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.

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.

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 application development, "being able to quickly and accurately reproduce the development environment" is extremely important. One effective means for achieving this is Docker. This video explains everything from Docker's basic concepts and ideas to the actual process of building and running applications using only Docker. You'll also learn the basics of docker-compose, which allows you to manage multiple containers together, giving you a better understanding of environment setup that's closer to real-world practice.

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.

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.