Kotlin Master Class: Learn through Bank Server Project Practice

Learning Kotlin through Bank Server Project Practice

Are you ready to go beyond simply learning Kotlin syntax and gain practical experience by writing a sample project for a banking server?

In this course, you will learn how to write efficient code with Kotlin's concise and expressive syntax, discover Kotlin's own solution that overcomes Spring's AOP limitations , and learn scalable log processing methods . You will also implement a scalable server yourself using Redis, Kafka, MySQL, and MongoDB , and apply methods for solving concurrency issues in practice.

The problems that occur in the financial domain are diverse and complex. We cannot cover everything in one lecture, but we provide an opportunity to solve real problems that people who wish to enter the financial domain or learn Kotlin in depth.

Don't just end with theory, but make technology that can be applied directly to actual services your own. It will be a time to think together and grow.

Why should I learn Kotlin..?

It is said to be 100% compatible with Spring, and Kotlin, a language created by Jetbrain, is optimized for concurrent programming, which Spring is not suitable for.

After taking the lecture, you can create results like this.

Technology stack covered in the lecture

Four values that are important

Lecture Structure

⏩ Section 2

This article briefly covers model management, which I have dealt with through my practical experience.

This contains my personal opinion on how to best handle types google의 설계패턴을 기반 .

⏩ Section 3

We will be working on code to implement extensible code for OAuth2.

OAuth2 is a feature that can be continuously added depending on the platform characteristics. We will tell you 인터페이스 처리를 통해서 어떻게 하면 확장성 있는 코드를 구현 for this feature.

⏩ Section 4

In this section, you will learn Kotlin을 사용하여 Spring에서의 AOP의 단점을 극복하는 방법 .

Spring AOP is a concept that is widely applied and used without many people knowing. It is used to ensure data persistence for conventional DBs, and is also used in logging processing using PointCut.

However, it is a regrettable friend that has some disadvantages. This section covers how to use Spring's AOP more flexibly in Kotlin.

⏩ Section 5

We will be working on an API that implements functions for OAuth2 and applies AOP.

Through this process, you will work with me 처음으로 구현하고 작성한 코드가 올바르게 동작하는지 확인하며, 이 과정을 통해서 디버깅하는 시간 .

⏩ Section 6

We are working on code to make it more suitable for B2C and B2B.

You will implement how to implement functions while executing specific Service Logic according to incoming traffic.

You will write business logic together using @Service, @RestController , etc.

⏩ Section 7

Redis is a very important element in practice. It can be used to control concurrency and is used to optimize the CPU for the DB through caching data.

In this section, we will work through various methods that can be used to leverage Redis and Redisson .

⏩ Section 8

You will begin writing logic for concurrency control by utilizing Redis related methods written earlier.

It will be time to write Distributed Lock to sequentially process concurrently incoming traffic and write logic to ensure data persistence.

⏩ Sections 9, 10

In this session, you will implement code directly for Kafka . You will use Kafka의 Producer to process event changes occurring on the API, and use it as code that utilizes loose coupling between services and a polyglot persistence strategy.

You will implement code for MongoDB and implement service logic accordingly. You will also implement and discuss logic to reduce DB usage through memory utilization.

⏩ Section 11

By utilizing Spring Security , you will be responsible for the logic that pre-processes requests coming into the API.

This process has the disadvantage of increasing the number of points that need to be managed, but it also implements the advantage of being able to optimize additional resources.

⏩ Sections 12, 13

You will create a new module to handle Kafka의 Producer and implement logic to communicate with MongoDB and Redis , and handle the process of generating data that matches the traffic type accordingly. During this time, you will learn about what loose coupling is and how messages are processed.

Things to note before taking the class

A great lecture to watch together!