Golang을 통한 백엔드 개발 및 환경 구축하기

In this lecture, we will discuss how to reduce resources for server-to-server communication by implementing RPC and gRPC communications used in actual practice.

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

You will learn how to write queries against large amounts of data using MongoDB.

You can learn about webcam and peer-to-peer communication implemented using WebRTC.

This lecture covers the process of configuring a custom Gateway API using yaml.

In this course, you will learn how to create a Discord Bot. You can learn from simple messages to complex complexes.

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

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

We will inform you about the platform mass adoption method using AWS (S3, CloudFront) and MySQL (Geospatial Query).

We will tell you everything about how to build a server and perform uninterrupted deployment for stateful services such as Chijijik and AfreecaTV.

In this lecture, we aim to create a Web Scraping API server using the Naver Shopping site. We will show you how to configure a managed API server by connecting MySQL and configuring a 3-tier architecture!!

This lecture will cover and implement websocket communication for chat servers used on streaming platforms such as Africa, Naver (Chijijik), and Twitch.

This is a content about backend development using two databases, MySQL and Mongo, for job seekers preparing for backend employment.

In this lecture, we will actually implement the core module of the blockchain indirectly through code. Through this process, you can learn in detail what the blockchain is and how it works. Actually, as someone who studies blockchain and works on blockchain-related tasks, most lectures focus on theoretical content or on using some functions called smart contracts. I wanted to make a difference from these lectures, so I prepared it so that you can indirectly create the core module by following my lectures one by one.

This lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

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.

We teach Spring Boot 3, which is the most widely used in back-end development, in a completely easy way. We create a bulletin board that is essential and most widely used in back-end development in a follow-up manner. We study with the popular book 'Jump to Spring Boot 3'.

This course proceeds in stages, similar to the actual work, by learning and applying the necessary knowledge while configuring the infrastructure.

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

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.

Learn Python web development A to Z while making it! Learn everything from web basics to blog development and deployment all at once.

Create a SNS service using Vue and Nuxt frameworks. Learn the full stack knowledge required for the service.

The best cross-platform Flutter, Develop for the Web with Flutter

This course covers how to actually publish the websites I've created to the world. From basic hosting using Dothome to hosting on git and cloud deployment through AWS, it's structured so you can easily follow along while experiencing hosting step by step. Rather than just stopping at writing code, you can build confidence as a web developer through various hosting experiences and actually operate real services.

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.

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.

🔥 This is a practical full-stack course where you will directly implement the entire process a student experiences, from course enrollment to payment and deployment. By building everything yourself, including course exploration, detail pages, course registration, video viewing, reviews and questions, shopping cart and actual payment, continue watching, and Docker + AWS deployment, you will learn user flows and structural design similar to real services and complete an an advanced full-stack experience.

🔥 This is a practical full-stack course that implements the knowledge sharer functionality exactly as is, from course registration to video upload. Using Next.js 15 and NestJS, you will build along the actual Inflearn flow, covering course creation, curriculum setup, thumbnail and video upload, and detailed introduction writing. You will gain practical, real-world experience, including Prisma modeling, JWT authentication, S3 + CloudFront upload, and Swagger API design.

Representative projects that use the Go language include Google servers, Docker, and Uber, and recently it has been widely used in data analysis and blockchain, so the popularity of the Go language is expected to continue to rise vertically.

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.

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!

We'll build AWS FinOps applications using Python, learn how to structure them, and why code gets more and more difficult. Finally, we'll have a little fun with the metacognition(?) process.

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.