Kubernetes Made Easy (v1.35)

We will teach you how to obtain certified Kubernetes certifications such as Certified Kubernetes Administrator (CKA), Kubernetes Certified Application Developer (CKAD), and Certified Kubernetes Security Specialist (CKS).

This course is designed so that you can learn many parts of Kubernetes (☸) through illustrations. 🧭 In particular, it expands upon the proven content of the bestseller 'Kubernetes/Docker for Building Container Infrastructure Environments' to help you study Kubernetes itself in greater depth. 💯 Additionally, practical content is periodically added to the 'Supplementary Lessons.' 👉 Please be sure to compare this with other courses :)

Let's learn how to automate various environments (Linux🐧, Windows📱, and network📶 systems) through ensembles. 🥇 Through this, we can manage various systems by unifying them into ensembles. And we will learn how to enhance🧑‍🔧 the ensemble code we have written. In other words, we will learn how to write code to run more effectively🏃 faster.

This course is designed so that you can learn many parts of Kubernetes (☸) through illustrations. 🧭 In particular, it expands upon the proven content of the bestseller 'Kubernetes/Docker for Building Container Infrastructure Environments' to help you study Kubernetes itself in greater depth. 💯 Additionally, practical content is periodically added to the 'Supplementary Lessons.' 👉 Please be sure to compare this with other courses :)

You will learn about the overall DevOps process, including domain purchasing, deploying Spring Boot production servers using EKS, Docker basics, Kubernetes basics, AWS basics, CI/CD automation via GitHub Actions, ArgoCD, and Prometheus/Grafana.

This course takes you from the fundamentals to advanced, real-world container workflows using Docker and Kubernetes. You will start by learning containers from the ground up, understanding how Docker works and why it is widely used in modern DevOps environments. You’ll run Docker, Docker Compose, and Kubernetes locally to improve software development, testing, and deployment workflows.

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.

[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.

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.

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

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.

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.

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 is designed to help you quickly learn server deployment methods using Nginx, Docker, and Spring Boot through hands-on practice. Learn Blue-Green deployment, a frequently used technique in the industry, faster than anyone else!

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

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.

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.

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.

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

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.

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.

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