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

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

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

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.

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 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.

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.

This is not just a lecture for memorizing commands. It is a practical introductory course designed to help you intuitively understand the "flow" of technology—why containers emerged and the principles behind how Docker creates and runs images. Even those new to Docker will be able to explain for themselves "why containers are a necessary technology" after taking this course.

I have created an introductory CI/CD course that is easy to understand even for non-majors and can be applied immediately in practice!

We will systematically learn essential theories such as Motivation, History, Structure, and Life Cycle required for Docker and Dockerizing. Above all, by participating in three solid hands-on code labs, you will become a developer who is most confident about Docker.

Systematically learn the internal structure and operating principles of Apache Kafka, a core technology for real-time data streaming. From basic concepts to cluster construction, client development, and microservices application, you will acquire all the practical knowledge and know-how necessary to build the capability for stable Kafka operations.

[Practical Node NestJS Course - Let's develop a service together!!] You can do it if you learn Nest-based Redis and Kafka! Prisma is now a MUST in the field.

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

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

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.

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.

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.

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

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

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 required for practical work and task automation in the AI era, along with guides that can be used immediately in the field!

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.

At some point in backend development, you start to have these concerns. It's that moment when services expand and traffic increases, and you begin to feel the limitations of simple REST communication and CRUD structures. I experienced these same issues in the field and went through much trial and error balancing performance and structural complexity. The solution I chose during that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides essential features—from Pub/Sub to Queue Groups and JetStream—without being overkill made it a very practical choice for real-world service environments. This course is not just a list of NATS features. Based on the problems I faced in practice, I explain through code and workflows why I chose NATS in certain situations and how I designed the architecture. This course is designed to help everyone—from those new to messaging systems to backend developers preparing for employment and senior developers considering better architectures—understand distributed systems and grow to the next level.

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.

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.

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

This course is designed for developers, DevOps engineers, cloud engineers, and IT professionals who want to master advanced Kubernetes concepts used in real-world production environments. Throughout the course, students will engage in hands-on projects and real-world deployment scenarios, learning how to build secure, scalable, and production-ready Kubernetes infrastructure. Rather than focusing solely on theory, this course emphasizes practical implementation, troubleshooting, and best practices utilized by modern DevOps teams. One of the biggest challenges students face when learning Kubernetes is understanding how all components interact within large-scale environments. Many learners struggle with topics such as RBAC permissions, persistent storage, namespaces, network policies, StatefulSets, Kustomize, and secure cloud deployments. This course addresses these issues step-by-step through clear explanations, guided labs, and examples that mirror actual production environments. Students will learn step-by-step how to organize Kubernetes resources, secure workloads, manage application configurations, deploy stateful applications like MongoDB, and automate multi-environment deployments using Kustomize. Additionally, the course covers how to deploy applications to Google Kubernetes Engine (GKE) and configure Ingress, TLS certificates, monitoring, and scaling strategies. By the end of this course, students will have the confidence to design, secure, deploy, and manage advanced Kubernetes environments used in professional DevOps and cloud engineering workflows.