Learning Large-Scale System Design by Building Directly with Spring Boot - Bulletin Board

Large-scale system development know-how from developers at large IT service companies!

Recommended for the following people:

• Anyone curious about how to handle large amounts of data and traffic

  
  

• Anyone curious about performance optimization

• Someone with experience but no traffic experience

• People who are curious about how to actually make it, rather than just explaining the theory

• Anyone who has developed a bulletin board with Spring Boot at least once

• Someone who knows database basics and how to write simple SQL.

  
  

Player Knowledge

• Spring Boot

It does not cover how Spring Boot works or how to use it.

• Java

It uses Java 21, but it doesn't use complex modern syntax, so you don't necessarily need to know about version 21. It's enough to have learned Java 8 or higher syntax.

• Relational Databases and SQL Basics Grammar

It does not explain the basics of relational databases or basic SQL grammar. It is sufficient to know how to write only CREATE, SELECT, UPDATE, and DELETE grammar.

Redis and Kafka are explained in the lecture, so no prior knowledge is required.

• Computer Science Knowledge

A basic understanding of CS knowledge may help, but is not absolutely required.

Technology Stack and Tools

• Spring Boot 3.3.2

• Java 21

• JPA

• Gradle

• MySQL 8.0.38

• Redis 7.4

• Kafka 3.8.0

• IntelliJ IDEA

  
  

Although this course is not tied to a specific version, we recommend the same environment for smooth practice.

Even if you use another language or framework, the concepts and design methods are the same. If you can think about these parts and develop them yourself, you can learn them even if you don't use Spring Boot.

I won't explain JPA, but since it covers it at a basic level, you don't need to have any separate knowledge.

You will learn:

• Large-scale system design

• Microservice Architecture

• Event-Driven Architecture

• Understanding Distributed Systems

• How to deal with concurrency issues

  
  

• Understanding MySQL, Redis, and Kafka and practical application strategies

• Optimizing large-scale data queries using database indexes

• Design and optimize complex hierarchical tables

• How to ensure data consistency even under high write traffic

  
  

• Process event streams and build asynchronous applications

• Building a system to prevent event loss

  
  

• A methodology that can be utilized in large-scale traffic and complex architectures.

• Cache optimization strategies applicable to various requirements

  
  

Learning Keywords

#Relational_Database #MySQL #Shard #Replication #Index #Clustered_Index #Secondary_Index #Covering_Index #Query_Plan #Query_Optimization #Primary_Key #Transaction #(De)Normalization #dbms_schema_design #Adjacency_list #Path_enumeration #database_collation #Lock #Optimistic_Lock #Pessimistic_Lock #Record_Lock #Concurrency_Problem #In-memory_database #NoSQL #Redis #Data_Structure #Distributed_Lock #Event_Streaming #Stream_Processing #Async #Kafka #Distributed_Transaction #Transctional_Messaging #Two_Phase_Commit #Transactional_Outbox #CDC #Transaction_Log_Tailing #CQRS #Cache #Request_Collapsing #Distributed_System #Microservice_Architecture #Event_Driven_Architecture

I have compiled keywords that you can learn in the lecture.

It is natural that you do not know it yet, but you will learn and implement the above concepts through the lecture.

These are concepts that are frequently dealt with in practice, and the necessity of each concept and the design process are explained in detail.

An opportunity to grow further through practical development!

Q&A before class

Q. I am completely new to backend and Spring Boot. Can I still take the course?

A. Since this is not an introductory course, it does not explain the concepts of the backend, the principles of Spring, and how to use it. Therefore, basic knowledge of Spring is a prerequisite, and even if you do not know it well, it is sufficient to have an attitude to learn while studying. Even if it is a very simple bulletin board, it is recommended to those who have created something at least once.

Q. Can I take the course if I don't know MySQL, Redis, Kafka, or Docker?

A. You should know the basic grammar of MySQL and SQL. It is okay if you don't know anything about other contents and tools, because the lectures will explain in detail what they are and how to use them directly.

Q. If I just attend the lectures, will I be able to understand all the content?

A. It may take several times as much time to properly study and fully acquire the content of the lecture. You cannot understand all the content by simply listening to it and following the code once. It is a difficult topic. I recommend that you continuously review and understand the overall structure while going through the lecture. Also, parts that are unrelated to the direction of the lecture or that require direct learning are not explained in the lecture, so they may not feel very friendly. These parts require individual study.

Q. I have backend experience, but I have only used other frameworks, not Spring Boot. Can I still take the course?

A. The concepts are all the same, so you can listen to it. However, since Spring Boot only provides code written in Java, you may need implementation skills that can be directly translated into other languages.

Q. I don’t know any of the keywords mentioned in the lecture introduction.

A. As long as you meet the requirements mentioned as prerequisites, you will learn the theory through lectures and implement it directly with code, so as long as you can follow along, it will be fine.

Q. Do you also cover server deployment and client development?

A. Development and testing are only done locally, and no server deployment or client screen development is done.

Q. Are there any additional costs, such as cloud computing, that are incurred while conducting the lecture?

A. Since development and testing are carried out locally, no separate costs are required.