Tag: Java
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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…
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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…
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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.
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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.
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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.
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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.
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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.
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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.
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Optional vs Null
The article discusses the limitations and proper use of Optional in Java to prevent NullPointerExceptions. While Optional offers a way to avoid nulls, it doesn’t eliminate the need for thoughtful design. It emphasizes functional programming techniques to handle empty values effectively without excessive null checks, advocating for clearer code over mere null avoidance.
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How to Create a Singleton with Java Enums
The Singleton Design Pattern ensures a class has only one instance, facilitating global access. Traditional implementation can lead to issues in multi-threaded environments. A more efficient approach using enums guarantees thread-safety, with built-in properties resembling a Singleton. While useful, overusing this pattern complicates testing and should be approached cautiously.
The Dev World - Sergio Lema 