Install Grafana and create dashboards

The lecture focuses on how to use Docker in Swarm mode. It guides beginners to easily build and operate servers.

Understand the basic knowledge required to build a virtual environment, create a virtual environment suitable for your environment using tools called Vagrant + VirtualBox, and build a Docker and Kubernetes Cluster. You can also introduce and practice virtualization SW suitable for macOS environments using Apple silicon chips.

This course systematically teaches practical Docker skills (installation→operation→automation→security) and comprehensively covers the latest security threats and countermeasures in each section. It features a hands-on approach where you learn by following along with practical exercises. This curriculum is highly recommended for DevOps engineers, infrastructure engineers, and security practitioners who want to experience the latest container/cloud environments in real-world scenarios.

Through this course, you can systematically learn core concepts such as an overview of Docker Events, practical use case 1: monitoring and alerts, practical use case 2: CI/CD pipeline automation, practical use case 3: security and auditing, and Docker Events filtering.

It was created to solve the "overwhelming problem of not knowing where or how to start with Kubernetes." Based on hands-on experience operating financial infrastructure, it is designed to help you understand the actual build and operation flow rather than just simple theory. Through a learning process that covers the relationship with Docker, YAML, Pods, Deployments, and Services, learners will master Kubernetes not just as a "concept," but as a "usable skill."

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.

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 course is Part 3 of the Full Stack series, designed to help you solidly master the latest server and Docker technologies. To ensure you can practically include Docker in your tech stack, this course is structured to test various Docker options step-by-step, cover essential related technologies like Linux, and guide you through building actual complex services.

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.

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 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.

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 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.

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

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.

What is DevSecOps? Configure a CI build environment and an environment that automatically performs SAST checks during build

It covers the entire cycle, starting from what logs to record to how to collect and utilize them.