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Spring Boot Microservice Starter - Kafka + Hexagonal + Jooq

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Spring Boot Microservice Starter - Kafka + Hexagonal + Jooq

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Project Title Options:

  1. Kotlin Microservices & Hexagonal Architecture: A Hands-On Learning Project
  2. Master Modern Backend Development: Spring Boot, Kafka, Jooq & Hexagonal Design
  3. The Complete Microservice Starter: Kotlin, Kafka, Jooq & Hexagonal Architecture
  4. Build & Deploy Scalable Microservices: A Practical Guide with Kotlin & Kafka

Project Description:

Unlock the power of modern backend development with this comprehensive, hands-on starter project! Dive deep into building two interacting microservices (product-backend and category-backend) using a cutting-edge stack: Kotlin, Spring Boot, Kafka for event-driven communication, Jooq for type-safe SQL with PostgreSQL, and the robust Hexagonal (Ports and Adapters) Architecture. This isn't just code; it's a launchpad for understanding and implementing real-world microservice patterns.


Who Is This For?

  • Aspiring Backend Developers: Get a practical introduction to building sophisticated services.
  • Java Developers: Transition smoothly to Kotlin and modern Spring Boot practices.
  • Software Engineers: Learn or solidify knowledge of microservices, hexagonal architecture, and event-driven systems.
  • Students & Self-Learners: Bridge the gap between theory and practical application with a well-structured project.
  • Architects & Tech Leads: Explore a clean, maintainable, and scalable architectural template.
  • Anyone curious about:
    • Implementing Hexagonal Architecture in a Spring Boot application.
    • Using Jooq for database interactions in Kotlin.
    • Integrating Kafka for asynchronous messaging between services.
    • Building and running multi-service applications with Docker Compose.

What Learners Will Gain:

This project provides a rich learning experience, enabling you to:

  1. Master Hexagonal Architecture (Ports & Adapters):
    • Understand the "Why": Grasp the benefits of separating business logic (domain) from application (use cases) and infrastructure concerns (adapters for API, DB, Kafka).
    • Practical Implementation: See how to structure domain, usecase, and adapter layers in a real Kotlin Spring Boot project.
    • Dependency Inversion: Learn how ports (interfaces in the domain) define contracts, and adapters provide concrete implementations.
    • Testability: Appreciate how this architecture facilitates easier unit and integration testing.
  2. Develop with Kotlin & Spring Boot:
    • Modern Kotlin: Leverage Kotlin's conciseness, null safety, and functional features for backend development.
    • Spring Boot Best Practices: Set up Spring Boot applications, manage dependencies, and configure core components.
    • RESTful API Design: Implement CRUD (Create, Read, Update, Delete) APIs with Spring Web.
  3. Integrate Kafka for Event-Driven Communication:
    • Producer Implementation: Learn to publish events (e.g., ProductCreatedEvent) to a Kafka topic from a Spring Boot service.
    • Asynchronous Processing: Understand the basics of decoupling services using an event bus.
    • Configuration: Set up Kafka producers within a Spring Boot context.
  4. Utilize Jooq for Type-Safe Database Interaction:
    • Jooq Code Generation: Learn to generate Jooq classes from your PostgreSQL schema.
    • Fluent SQL Building: Write type-safe, readable, and maintainable SQL queries in Kotlin.
    • Repository Pattern: Implement data access layers using Jooq within the hexagonal architecture.
    • Database Migrations with Flyway: Manage database schema evolution effectively.
  5. Build and Manage Microservices:
    • Service Decomposition: Understand how to break down a larger system into smaller, independent services (Product and Category).
    • Inter-Service Communication: Implement synchronous API calls between services (Product service calling Category service).
    • Configuration Management: Handle service-specific configurations (ports, database connections, Kafka brokers).
  6. Containerize with Docker & Docker Compose:
    • Environment Setup: Easily spin up a complete development environment (PostgreSQL, Zookeeper, Kafka) using Docker Compose.
    • Service Orchestration: Understand how Docker Compose manages multiple containers.
  7. Practical CRUD Operations:
    • Implement the fundamental building blocks of most applications for both Product and Category entities.
  8. Understand Project Structure & Modularity:
    • Learn to organize code effectively in a microservice project, promoting clarity and maintainability.

Technical Stack & Highlights:

  • Languages & Frameworks: Kotlin, Spring Boot 3+
  • Architecture: Hexagonal (Ports and Adapters)
  • Database: PostgreSQL
  • Database Access: Jooq (with Flyway for migrations)
  • Messaging: Apache Kafka
  • API: RESTful APIs (Spring Web)
  • Build Tool: Gradle (Kotlin DSL)
  • Containerization: Docker, Docker Compose
  • Key Features:
    • Two independent microservices: product-backend & category-backend.
    • Full CRUD operations for Products and Categories.
    • Synchronous API call from Product service to Category service (e.g., to validate category existence).
    • Asynchronous event publishing to Kafka when a product is created.
    • Clear separation of concerns following Hexagonal principles.
    • Ready-to-run Docker Compose setup for all infrastructure.

Prerequisites:

  • Basic understanding of Kotlin (or Java, with a willingness to learn Kotlin syntax).
  • Familiarity with Spring Boot fundamentals.
  • Basic knowledge of REST APIs.
  • Docker and Docker Compose installed.
  • JDK 17 or higher.

Why This Project is a Great Learning Investment:

  • Practical, Not Just Theoretical: Go beyond blog posts and tutorials with a working, multi-component system.
  • Modern & Relevant Stack: Learn technologies highly in demand in the industry.
  • Clean Architecture: Understand principles that lead to maintainable and scalable software.
  • Save Time: Skip the boilerplate and dive straight into learning core concepts with a well-structured foundation.
  • Extendable: Use this as a base to add more features, implement consumer logic for Kafka, add security, or explore other patterns.
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