인프런 - 라이프타임 커리어 플랫폼

You can quickly experience the process of deploying an example e-commerce service to AWS and continuously improving it into a robust and efficient environment.

I have created a 'Kubernetes Introduction/Practice' course that is easy to understand even for non-majors and immediately applicable in practice!

We cover everything from introduction to utilization of the framework for flexibly running distributed systems in a container environment using “Kubernetes,” an open source virtualization project based on containers.

Through this course, you can learn about Docker and set up a CI environment.

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 course is a process of learning about container virtualization technology, one of the four components that make up Cloud Native Architecture. It is a learning process that understands the basic concepts of container virtualization, which is the best way to deploy and operate Microservice applications, and covers Docker technology, which is the most widely known container virtualization technology. In addition to theoretical learning about the essential content required to deploy and operate applications developed in MSA form, you can understand how actual Docker containers work through related practical examples. In this course, you can also learn about various elements such as Docker Security and Logging that have not been covered in other existing lectures, and in the final practical project, you can build services (Harbor + Argocd) that can be linked to Docker technology and deploy applications to practice the core operating environment required for DevOps.

We introduce a DevOps lecture based on practical cases experienced directly on the front lines of Silicon Valley. This lecture does not just stop at theory, but covers CI/CD related tools in an EKS environment that can be applied directly in the actual engineering field.

I've created a Docker beginner/practical course that's easy for non-majors to understand and immediately applicable in practice!

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

This is a Docker guide for beginners who don't know anything about Docker. We focused on helping you quickly learn why Docker is popular and how to use it, without getting into complicated details.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

In this lecture, you will learn about AWS ECS, one of the representative technologies of Container Orchestration! You will also build CICD with Github Action. However, you will not learn ECS from the beginning. ECS can be called the king of DevOps, so it can feel too difficult. So, in the beginning of the lecture, we will first cover the basics with AWS Lightsail, which has a relatively low learning curve among traditional virtual servers. You will also experience the limitations and inconveniences of the existing method. By building up with the basics and “Why” in this way, you will naturally learn Docker Containers and ECS!

This covers what you really need to get started with Kubernetes(☸). 🧭 This course allows you to easily understand the structure of Kubernetes and get started. 🥇

Docker? It's not difficult at all. I'll explain the key points briefly and clearly. Learn, apply, and understand quickly!

It's designed so you can learn many aspects of Kubernetes (☸) through diagrams. 🧭 In particular, it expands on the proven content from the bestseller 'Kubernetes/Docker for Building Container Infrastructure Environments' to help you learn Kubernetes itself more deeply. 💯 In addition, practical content is regularly added to 'Supplementary Lessons'. 👉 Be sure to compare it with other lectures :)