Spring Boot Tutorial

Spring Boot Tutorial Roadmap

Introduction

Spring Boot is a powerful framework designed to simplify the development of Java applications by providing a convention-over-configuration approach. It is widely used for building microservices, RESTful APIs, and enterprise-grade applications. This roadmap will guide you through learning Spring Boot, from the basics to advanced concepts.

Prerequisites

Before starting with Spring Boot, you should be familiar with:

  • Core Java: OOP concepts, collections, exception handling, multi-threading
  • Spring Framework: Basic understanding of Spring Core, Dependency Injection (DI)
  • Maven/Gradle: Build tools for managing dependencies
  • Databases: Basic knowledge of SQL and ORM concepts
  • RESTful APIs: Understanding of HTTP methods and JSON

1. Getting Started with Spring Boot

What is Spring Boot?

  • Introduction to Spring Boot
  • Features and advantages
  • How Spring Boot differs from the Spring Framework

Setting Up the Development Environment

  • Installing Java (JDK 17 or higher recommended)
  • Installing an IDE (IntelliJ IDEA, Eclipse, VS Code)
  • Setting up Maven or Gradle
  • Creating a Spring Boot project using Spring Initializr

Understanding the Project Structure

  • src/main/java and src/main/resources
  • application.properties vs. application.yml
  • @SpringBootApplication annotation

2. Spring Boot Fundamentals

Dependency Management

  • Understanding Spring Boot Starters
  • Using Maven or Gradle to manage dependencies

Spring Boot Auto-Configuration

  • How Spring Boot auto-configures beans
  • Overriding default configurations

Application Properties

  • Configuring application.properties and application.yml
  • Customizing server ports and database configurations

Profiles and Environment Variables

  • Understanding Spring Profiles
  • Using different properties for development, testing, and production

3. Building RESTful APIs with Spring Boot

Introduction to REST

  • REST principles and HTTP methods (GET, POST, PUT, DELETE)
  • JSON and data serialization

Creating REST APIs

  • Using @RestController and @RequestMapping
  • Handling request parameters and path variables

Data Binding and Validation

  • Using @RequestBody and @ResponseBody
  • Implementing validation with @Valid and @Validated

Exception Handling

  • Using @ControllerAdvice and @ExceptionHandler

4. Working with Databases in Spring Boot

Spring Data JPA

  • Introduction to ORM and JPA
  • Configuring a database (H2, MySQL, PostgreSQL)
  • Creating repositories with JpaRepository and CrudRepository

Entity Mapping

  • Defining entities with @Entity, @Table, @Column
  • Relationships: @OneToOne, @OneToMany, @ManyToMany

Using Spring Boot with Hibernate

  • Understanding Hibernate caching
  • Fetch types: Eager vs. Lazy

Database Migrations with Flyway and Liquibase

  • Setting up database versioning
  • Writing migration scripts

5. Spring Boot Security

Introduction to Spring Security

  • Setting up Spring Security in a Spring Boot application
  • Understanding authentication and authorization

JWT Authentication

  • Generating and validating JWT tokens
  • Securing REST APIs with JWT

OAuth2 and Social Login

  • Implementing OAuth2 authentication
  • Integrating with Google, Facebook, and GitHub

6. Advanced Spring Boot Concepts

Caching with Spring Boot

  • Using @Cacheable, @CachePut, @CacheEvict
  • Configuring Redis for caching

Asynchronous Processing

  • Using @Async for executing tasks asynchronously
  • Spring Boot and messaging queues (RabbitMQ, Kafka)

Spring Boot Actuator

  • Monitoring application health and metrics
  • Customizing Actuator endpoints

Testing in Spring Boot

  • Writing unit tests with JUnit and Mockito
  • Integration testing with Spring Boot Test

7. Microservices with Spring Boot

Introduction to Microservices

  • What are microservices?
  • Monolithic vs. Microservices architecture

Service Discovery with Eureka

  • Setting up Eureka Server and Eureka Clients

API Gateway with Spring Cloud Gateway

  • Configuring API Gateway for routing
  • Implementing rate limiting and security

Distributed Tracing and Logging

  • Using Sleuth and Zipkin for distributed tracing
  • Centralized logging with ELK stack (Elasticsearch, Logstash, Kibana)

8. Deploying Spring Boot Applications

Containerization with Docker

  • Creating a Dockerfile for Spring Boot
  • Running Spring Boot applications in a Docker container

Deploying to Cloud Platforms

  • Deploying Spring Boot on AWS (EC2, S3, RDS)
  • Deploying to Kubernetes (K8s) with Helm
  • Serverless deployment with AWS Lambda and Azure Functions

Conclusion

This roadmap provides a structured learning path for mastering Spring Boot. By following these topics, you’ll gain the expertise needed to build and deploy robust Java applications using Spring Boot.

Share with