Best of Spring Boot — March 2025

  1. 1
    Video
    Avatar of philipplacknerPhilipp Lackner·1y

    Full 2025 Backend Dev Crash Course for Beginners With Spring Boot (Kotlin, JWT Auth, MongoDB)

    The post is a beginner-friendly crash course for building REST APIs using Spring Boot and Kotlin. It covers the basic knowledge required to follow along, including a brief overview of Kotlin and IntelliJ setup. The course aims to familiarize readers with building a backend application that can handle routes, process data, and interact with MongoDB for storing user-generated notes. Authentication and security are also discussed, with JWT being used as the authentication mechanism.

  2. 2
    Article
    Avatar of javarevisitedJavarevisited·1y

    Why Spring Boot Developers Struggle When Building Real-World Projects?

    Spring Boot developers often struggle with transitioning from tutorials to real-world projects. Common problems include lack of a structured roadmap and insufficient practical project experience. By focusing on key codebases, exploring common functionalities, and addressing weak areas, developers can significantly enhance their skills. Additional growth can be achieved through mentoring, contributing to open source projects, and working on personal projects. The post emphasizes the importance of practical application to bridge the gap between theoretical learning and real-world problem-solving.

  3. 3
    Video
    Avatar of youtubeYouTube·1y

    the Spring Boot end-to-end tutorial (new for 2025!)

    Explore the essential concepts of Spring Boot 3.4 and its 2025 updates, including auto-configuration, dependency injection, and aspect-oriented programming. Learn to set up a Spring Cloud Config Server and use Spring Batch for efficient data processing. Follow along to build a dog adoption service with these tools.

  4. 4
    Article
    Avatar of javarevisitedJavarevisited·1y

    Is LeetCode Enough to Crack a Java Developer Interview?

    LeetCode is an excellent tool for sharpening your problem-solving skills, but it's not sufficient to crack a Java developer interview by itself. Apart from algorithmic skills, candidates need to master core Java fundamentals, have a deep understanding of the Java ecosystem, become proficient with Spring Boot, and be able to design scalable and maintainable systems. Comprehensive preparation and a well-rounded knowledge base are essential to succeed.

  5. 5
    Article
    Avatar of baeldungBaeldung·1y

    Integrating Jolokia With Spring Boot

    Learn how to integrate Jolokia with a Spring Boot application to monitor your application via API endpoints. This tutorial covers initial setup, basic commands for interacting with MBeans, and methods to secure Jolokia endpoints by restricting access through configuration.

  6. 6
    Article
    Avatar of baeldungBaeldung·1y

    Implementing Semantic Search Using Spring AI and PGVector

    Learn to implement a semantic search application using Spring AI, PGVector, and Ollama. This tutorial covers the basics of semantic search, including key concepts like word embeddings, semantic similarity, and cosine similarity. You'll set up a Spring Boot project, configure it for PGVector, and enhance it with an Ollama LLM for more context-aware responses. Example code for ingesting book data and performing searches highlights practical implementation steps.

  7. 7
    Video
    Avatar of youtubeYouTube·1y

    Build & Deploy a Production-Ready Patient Management System with Microservices: Java Spring Boot AWS

    This course provides a hands-on experience in building an enterprise-level patient management system using Java Spring Boot and Docker. It covers essential aspects such as microservices architecture, API gateways, load balancing, REST and gRPC for communication, user authentication, and deployment using AWS. Each module builds incrementally, offering a comprehensive understanding of these technologies. Basic knowledge in Java, Spring Boot, REST APIs, databases, and Docker is recommended.

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