Overview

Spring Boot 3.0 has become a cornerstone for building scalable, secure, and high-performance backend systems in modern enterprise environments. This course empowers you with in-depth knowledge of Spring Boot’s latest capabilities and the architectural techniques needed to build robust, production-ready applications. Through a structured and practical learning path, you’ll enhance your backend engineering skills and learn to apply advanced patterns that deliver real-world outcomes. You’ll gain hands-on experience developing reactive services, improving system reliability, and integrating event-driven workflows. What sets this course apart is its blend of theory and practical implementation, walking you through concepts like DDD, CQRS, and Event Sourcing while applying them to real enterprise-grade systems. You’ll also explore reactive programming, advanced testing, and application security. This course is ideal for Java developers, microservices engineers, and system architects aiming to build scalable backend applications. A basic understanding of Java, Spring, and RESTful APIs will help you follow along smoothly.

Syllabus

Introduction to Advanced Spring Boot Concepts

In this section, we explore Spring Boot 3.0's advanced features, including AppStartup and improved dependency resolution, to enhance application efficiency and scalability in complex projects.

Key Architectural Patterns in Microservices DDD CQRS and Event Sourcing

In this section, we explore DDD, CQRS, and event sourcing to align software with business needs, separate data operations, and track data history for scalable microservices.

Reactive REST Development and Asynchronous Systems

In this section, we explore reactive programming with Spring Boot 3.0, build a reactive REST API using WebFlux, and analyze backpressure in asynchronous systems.

Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing

In this section, we explore Spring Data's application in SQL and NoSQL databases, cache abstraction, and batch processing to enhance data management and performance in real-world projects.

Securing Your Spring Boot Applications

In this section, we explore securing Spring Boot applications using OAuth2, JWT, and RBAC to ensure robust access control and token management in real-world scenarios.

Advanced Testing Strategies

In this section, we explore advanced testing strategies including TDD in Spring Boot, secure controller testing, and integration techniques to ensure reliable and maintainable software across diverse architectures.

Spring Boot 3.0 Features for Containerization and Orchestration

In this section, we explore containerization and orchestration in Spring Boot 3.0, focusing on Docker, Kubernetes, and monitoring with Prometheus and Grafana for scalable, efficient applications.

Exploring Event-Driven Systems with Kafka

In this section, we explore event-driven systems using Kafka and Spring Boot, focusing on configuring Kafka with Docker, building producer-consumer applications, and monitoring with CMAK tools.

Enhancing Productivity and Development Simplification

In this section, we explore AOP, Feign Client, and auto-configuration in Spring Boot to enhance productivity, simplify development, and improve code maintainability.