Kubernetes 101 - First Steps in Cloud/Server Development

This covers what you need when you’re just getting started with Kubernetes (☸). 🧭 Through this course, you can begin learning Kubernetes while understanding its architecture in the easiest way possible. 🥇

This course covers the basics of Amazon EKS, an AWS-managed Kubernetes service, designed for beginner Amazon EKS users.

It was created to solve the problem of “not knowing where or how to start with Kubernetes.” Based on hands-on experience gained from operating financial infrastructure, it is structured to help learners understand Kubernetes by following the actual process of building and operating it, rather than focusing on theory alone. Through a learning progression covering its relationship with Docker, YAML, Pods, Deployments, and Services, learners will internalize Kubernetes not as a “concept,” but as a “usable technology.”

Systematically learn Docker, a core tool for container-based application deployment, from the basics to practical application. Starting with Docker's basic structure and commands, you will develop practical skills that can be immediately applied to real-world tasks, including container packaging in microservices architecture environments, deployment automation, and standardization of production environments.

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.

This course goes beyond teaching Docker as merely a set of tools and approaches it from the perspective of solving the concerns and problems you will actually encounter in the field. It explains, based on firsthand experience operating financial infrastructure in the industry, everything from unpredictable errors caused by differences between development and production environments, and configuration mistakes stemming from vague concepts of images and containers, to the anxiety of wondering, “How much do I need to know for this to be useful in practice?” Rather than simply listing commands, the course focuses on real-world examples to explain why this structure is necessary, how to design images for easier maintenance, and how to manage containers to operate services reliably. In particular, it places greater emphasis on hands-on practice than theory, with the goal of helping students understand Docker visually and master it through practice—not merely reaching the level of “knowing how to use Docker,” but understanding it from an operational perspective. This course provides practical standards and direction for those encountering Docker for the first time, those who have used it but have not yet organized their understanding of the concepts, and developers who want to take their infrastructure skills to the next level.

Running MongoDB on Kubernetes is different from simply putting it in a container. There are many things you can only learn by dealing with storage, networking, permissions, and high availability firsthand. This course covers the entire process of configuring and operating MongoDB using the PSMDB (Percona Server for MongoDB) Operator in an AWS EKS environment. The goal is to directly build a production-ready configuration, from cluster setup to Replica Set configuration, backup, and monitoring.

For learners who find Docker operations and security hands-on exercises daunting, the instructor guides them through real-world workflows based on their infrastructure and penetration testing experience.

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.

‘Where and how should I store files that look like images? Should I store them in a database? Or on a server hard drive? How can I reduce server load? How can I quickly load many images without stuttering? AWS S3? CDN?! I just want to store and load images, so why are there so many elements? What role do each of these elements play, and how should they be combined?’ I will teach you all the necessary elements related to image files, from start to finish, as a full stack :)

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.

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.

I want to launch a side project as a real service and study Kubernetes, but managed services from AWS/GCP (EKS, GKE, etc.) are too expensive. On the other hand, running it only on a local computer makes it difficult to experience network configurations or actual deployment environments. We will utilize the "Always Free" tier of Oracle Cloud (OCI), which offers the most powerful free benefits among existing public clouds. By installing the lightweight yet powerful k3s, we will build a Linux server and Kubernetes environment capable of hosting actual services from scratch—all at zero cost. After taking this course, you will gain a general understanding of cloud networking and possess your own Kubernetes cluster infrastructure where you can deploy and operate your applications for free.

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.

⚓ Kubernetes CKAD Certification! 🙇‍♀️Are you still hesitating? 🚢Board the Ilpro-ho! We will guide you through the optimal route.

This course is Part 3 of the Full-Stack course series, designed to help you thoroughly master the latest server technologies and Docker. To enable you to genuinely incorporate Docker into your tech stack, the course meticulously tests Docker’s various options, covers related technologies such as Linux that you need to understand for Docker, and is structured so that you can even build complex real-world services.

⚓ Kubernetes CKA Certification! 🙇‍♀️Are you still hesitating? 🚢Board the Ilpro-ho! We will guide you through the optimal route.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

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

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.