Tag: Java

  • Fullstack 2026: Building the Modern Spring Boot 3.4 and React 19 Architecture

    Fullstack 2026: Building the Modern Spring Boot 3.4 and React 19 Architecture

    After 15 years in the industry, the author emphasizes the need for simplicity in development. The post discusses using Spring Boot 3.4 and React 19 to streamline setups by eliminating boilerplate, automating infrastructure, and enhancing developer experience. Key strategies include Docker integration, virtual threads, and proxy configurations for efficient development.

  • The JVM Stack: A Developer’s Quick Guide

    The JVM Stack: A Developer’s Quick Guide

    This content explains the difference between stack and heap memory in Java, highlighting their roles in memory allocation. The stack is thread-specific, efficient, and short-lived, while the heap is shared across threads and managed by the Garbage Collector. Understanding these concepts helps prevent common errors like StackOverflowError and OutOfMemoryError.

  • Spring @Transactional is Not Magic: The Proxy Trap and Why Your Data Isn’t Safe

    Spring @Transactional is Not Magic: The Proxy Trap and Why Your Data Isn’t Safe

    **Most developers treat @Transactional like a magic wand, but it is actually a proxy-based abstraction that is remarkably easy to break.** If you do not understand Java AOP, you are likely creating “zombie data” and performance bottlenecks without even knowing it. This post deconstructs the **self-invocation trap**, the **rollback myth of checked exceptions**, and why…

  • The Singleton Delusion: Why Your Implementation is Probably Broken

    The Singleton Delusion: Why Your Implementation is Probably Broken

    Most developers treat the Singleton pattern like a relic from 2010—something they “know” but haven’t actually audited in years. We’ve been conditioned to believe Singletons are “evil” or “hard to test,” leading to a trend of pulling in massive Dependency Injection frameworks just to manage a single Logger instance. This resume-driven development adds unnecessary bloat…

  • SLF4J, Logback, and Log4j: A Straightforward Guide to Java Logging

    SLF4J, Logback, and Log4j: A Straightforward Guide to Java Logging

    The Java logging ecosystem features SLF4J as a facade API, with Logback and Log4j2 as underlying implementations. Using SLF4J decouples application code from logging frameworks, allowing easy dependency changes. For most projects, SLF4J with Logback is recommended, while Log4j2 is better for high-performance needs, ensuring efficient logging strategies.

  • Flyway vs. Liquibase: Which Database Migration Tool is Right for You?

    Flyway vs. Liquibase: Which Database Migration Tool is Right for You?

    Database migrations are essential in modern application development for managing schema changes. Flyway offers simplicity with raw SQL migrations, suitable for single-database projects. In contrast, Liquibase provides advanced features like changelogs and rollback support, making it ideal for database-agnostic applications. The choice depends on project requirements and team expertise.

  • Layered Architecture in Java: A Practical Guide to Keeping Your Code Clean

    Layered Architecture in Java: A Practical Guide to Keeping Your Code Clean

    The post emphasizes the importance of structured programming to avoid spaghetti code, advocating for a layered architecture. It delineates three layers: Presentation, Business, and Data layers, each with distinct responsibilities. Defining a clear structure early in project development facilitates effective teamwork and ensures scalable, maintainable applications by keeping concerns separate.

  • 3 JVM Parameters You Must Know

    3 JVM Parameters You Must Know

    Proper configuration of JVM parameters significantly enhances the performance and stability of Java applications in production. Key areas include setting appropriate heap sizes, effectively managing out-of-memory scenarios, and selecting the right garbage collector based on workload needs. Implementing these optimizations ensures consistent performance during high-demand periods.

  • Mastering Data Validation in Java Applications

    Mastering Data Validation in Java Applications

    The article emphasizes the importance of validating data before it enters the database to prevent issues like NullPointerExceptions and inconsistent data. It advocates for early validation at both the controller and domain model levels, using annotations and custom validators for cleaner, simpler code, ultimately leading to enhanced application reliability.

  • Multi-Environment Configuration in Spring Boot

    Multi-Environment Configuration in Spring Boot

    In this article, I talk about the importance of proper configuration in Spring Boot applications across multiple environments. By using Maven profiles, environment variables, and CI/CD pipelines, developers can maintain clean and flexible configurations. The goal is to ensure a seamless application experience whether running locally or in production, without the risk of misconfigurations.