Cách xây dựng một môi trường máy chủ mạnh mẽ một cách dễ dàng và nhanh chóng với AWS

DGS, Netflix's Choice Over REST! Learn how to easily and powerfully utilize GraphQL in Spring Boot with the framework Netflix actually uses to handle large amounts of traffic! 🔥

An opportunity to learn both the front-end and back-end of GraphQL at once

🎉2025 Lecture Renewal with New Videos🎉 We will explore the detailed functions and options of AWS's most basic and essential key services. By gradually implementing cloud architecture using these services, we aim to foster an understanding of infrastructure structure and operational principles, along with the capability and confidence to build cloud infrastructure directly.

I can say with pride that it is more accurate and closer to practical best practices than any other lecture. This lecture is a lecture where you can learn about the basic theory of DevOps and Infrastructure as Code (IaC), which is one of the basics of DevOps. Through this lecture, you can correctly understand IT-based services from a DevOps perspective and practice defining infrastructure with code for service operation. After completing the lecture, you will be able to easily create and manage AWS resources that are basically necessary for service operation through a tool called Terraform. Since AWS must be managed as code, this lecture is also essential for studying the basics of AWS.

In this lecture, you will learn how to use OpenTracing to perform distributed tracing across various applications.

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.

I've created an 'Introduction to MSA' course that even non-majors can easily understand and apply directly in real-world situations!

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

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.

It is configured to allow you to learn programming languages (Python, Terraform) for the cloud. You can directly create and apply simple yet tedious repetitive tasks, track when and how you deployed, and implement your company's unique policies that specific solutions cannot address. Specifically, we will apply a security architecture using Terraform, the most popular IaC (Infrastructure as Code) application, and also proceed with creating an ultra-simple dashboard using Python!

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.

‘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 :)

AWS CLF (Certified Cloud Practitioner) is an introductory course that allows you to build basic knowledge of the cloud. By increasing your understanding of AWS cloud technology and services through this certification, you can move on to more specialized certifications in the future and build the basic capabilities necessary for cloud-based development and operations.

Learn Serverless Full-Stack Development, Deployment with AI Pet Concept Image Generation Service

In just 2 hours of hands-on practice, we build a local LLM with RAG-based QA system using the Docker + ollama + R2R framework. (Internal/in-house QA systems, personal portfolios, AI-powered work capabilities, and even commercial services are possible.)

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

You can learn about IAM, the foundation of AWS Zero Trust, from the basics to the details. This will help you understand what parts are actually vulnerable and where you need to pay more attention.

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.

We will inform you about all the security aspects of migration using MySQL and direct operation of DB Server.

Learn cloud infrastructure automation technology using AWS and Terraform, and practice efficient infrastructure management and deployment. Manage AWS resources as code through Terraform, and learn how to deploy consistent infrastructure across various environments.