Java Spring Boot - Advanced

Overview

This advanced-level course empowers learners to design, develop, and monitor enterprise-grade applications using Spring Boot. Covering a wide range of advanced features, the course begins with a deep dive into Spring Boot Actuator for health checks and custom endpoints. It then transitions into NoSQL integration, guiding learners to construct data solutions with MongoDB, Solr, and Elasticsearch. Learners will then analyze and build scalable microservices architectures, incorporating concepts like service discovery, load balancing, and service segmentation. The course further covers custom metric development and endpoint exposure, enhancing application observability and control. Deployment proficiency is achieved through modules that demonstrate how to manage environments with Spring Boot profiles, YAML configurations, and real-world deployment techniques. Lastly, learners will implement robust file upload mechanisms, including AJAX-powered multi-file handling, solidifying both backend and frontend integration skills. By the end of this course, participants will be able to: Construct scalable and modular Java applications using microservices. Implement NoSQL data access strategies in a Spring Boot environment. Design and monitor custom health checks, metrics, and actuator endpoints. Deploy Spring Boot applications across environments using configuration profiles. Integrate file upload capabilities with advanced client-side interaction. Ideal for backend developers and Java professionals looking to apply, evaluate, and synthesize modern development patterns using the Spring Boot framework.

Syllabus

Spring Boot Actuator Insights

This module introduces the core features of Spring Boot Actuator, focusing on its default and custom endpoints, and exploring how to integrate and interpret health indicators to monitor application performance and stability.

Advanced NoSQL Integration

This module explores the integration of NoSQL databases within Spring Boot, covering technologies like MongoDB, Solr, and Elasticsearch. Learners will examine how to use Spring Data for robust, flexible, and scalable data operations.

Microservices Architecture with Spring Boot

This module presents the microservices architectural pattern, showing how to design, develop, and scale distributed systems using Spring Boot. It also covers service segregation, communication, and real-world implementation patterns.

Custom Metrics and Endpoints

This module delves into Spring Boot's observability capabilities, guiding learners through the implementation of custom metrics and the creation of tailored actuator endpoints for detailed operational insights.

Deployment and Profiles

This module focuses on deploying Spring Boot applications and managing configuration with environment-specific profiles. It includes real-world deployment strategies, YAML usage, and profile activation methods.

File Uploads with Spring Boot

This module provides hands-on experience with file upload capabilities in Spring Boot. It covers single and multiple file uploads and showcases how to build responsive interfaces using AJAX.