Quick Start Guide to Spring Cloud Basics (MSA)

We develop a chat service using web socket/stomp and springboot. We also configure a simple screen using vue.js, which is a relatively easy framework. We also configure multi-server scalability design using redis pub/sub.

Implement Kakao and Google login using Spring Boot. JWT token-based login will be implemented. A simple interface will be constructed using Vue 3.

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.

Learn the basic data structures of REDIS and examples of practical use of REDIS through redis-cli (command) practice.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

You will learn everything from the basic knowledge of Git/GitHub to practical solutions and strategies for various conflict situations encountered in the field.

Learn everything you need to know about MariaDB (MySQL) as a developer, including beginners, backend developers, and SQLD exam preparation students. The class is focused on hands-on practice, where you will build your own DB.

Learn everything you need to know about MariaDB (MySQL) as a developer, including beginners, backend developers, and SQLD exam preparation students. The class is focused on hands-on practice, where you will build your own DB.

Learn essential Linux knowledge that every developer should know, even if they're not a DevOps or Linux expert. The class will be hands-on and practice-oriented.

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.

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.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

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

We will develop a MSA delivery application using Docker, Docker compose, and Traefik server. In addition, we will systematically learn theoretical knowledge such as MSA, Proxy Server, Load Balancer, API Gateway, etc. that are necessary for development. All learning courses are composed of practical training, and through this, you will gain confidence in developing Docker-based applications.

I recommend this lecture to anyone who wants to gain insight into a hot topic in the DevOps field called Observability, which is based on log analysis and inter-service correlation analysis on microservices.

Learn the SAGA transaction management technique for maintaining data consistency in distributed environments through a hands-on approach. You will configure three microservices using Spring Boot and Docker, and implement both Orchestration and Choreography patterns using Kafka and MySQL. Through this course, you will master core concepts applicable to real-world scenarios, including the operational principles of distributed transactions, designing compensating transactions, and handling fault recovery.

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.