Alex Manrique’s Post

GitHub’s latest CodeQL release adds Java 26 support, improves Maven version selection, and updates queries across multiple languages. The bigger story is operational: static analysis only stays useful when it reflects the builds teams actually run. If your code scanning pipeline lags behind your language and build stack, signal quality drops fast. This piece breaks down why analysis parity with modern build reality is becoming a platform concern, not just a security tooling detail. https://lnkd.in/eafu_5BB #DevOps #AppSec #CodeQL #PlatformEngineering #Java #SoftwareSupplyChain

Spring and Boot always have struck me as unusual names for a framework. Someday I'll have to ask someone about the history behind those choices. There's no doubt though that Spring Boot is the play in the Enterprise Java space, and I'm pleased to present Testing Spring Boot Applications by Daniel Garnier-Moiroux as one of our newest additions to the Manning Early Access Program. Spring Boot With Microservices #Spring #Boot #Java Manning Publications Co. https://lnkd.in/gTmQxJ97

🚀Spring Boot Annotations — The Magic Behind Simplified Java Development 👩🎓If you’ve worked with Spring Boot, you already know one thing — annotations make development faster, cleaner, and smarter. 📚Instead of writing heavy configuration code, Spring Boot annotations help developers focus on business logic rather than setup. 💡 Most Important Spring Boot Annotations Every Developer Should Know: ✅ @SpringBootApplication The heart of a Spring Boot app. It combines configuration, component scanning, and auto-configuration in a single annotation. ✅ @RestController Used to create RESTful web services. It automatically converts responses into JSON — perfect for APIs. ✅ @RequestMapping / @GetMapping / @PostMapping Defines HTTP endpoints and connects URLs with controller methods. ✅ @Autowired Implements Dependency Injection automatically — no manual object creation needed. ✅ @Service Marks a class as a service layer component where business logic lives. ✅ @Repository Handles database operations and enables exception translation. ✅ @Component Registers a class as a Spring-managed bean inside the IoC container. ✅ @Configuration Used to define beans and application configuration programmatically. 🎯 Why Annotations Matter? ✔ Reduce boilerplate code ✔ Improve readability ✔ Enable loose coupling ✔ Faster development & easier maintenance ✨ Spring Boot proves that powerful applications don’t need complicated configuration — just smart annotations. #SpringBoot #Java #Parmeshwarmetkar #BackendDevelopment #Microservices #Programming #SoftwareDevelopment #LearningJourney #Developers

SOLID Principles in Java – Explained Simply When building scalable and maintainable software, following good design principles is essential. One of the most important concepts in Object-Oriented Programming is SOLID Principles. SOLID is a set of five design principles that help developers write clean, flexible, and maintainable code. Let’s understand them in a simple way. 1️⃣ Single Responsibility Principle (SRP) A class should have only one responsibility or one reason to change. Bad example: A class that handles database operations + business logic + logging. Good approach: Split them into separate classes. Example: OrderService → Business logic OrderRepository → Database operations LoggerService → Logging This makes the code easier to maintain and test. 2️⃣ Open/Closed Principle (OCP) Software entities should be open for extension but closed for modification. Instead of modifying existing code, we should extend it using new classes. Example: Add a new payment method by creating a new class rather than modifying existing logic. 3️⃣ Liskov Substitution Principle (LSP) Objects of a superclass should be replaceable with objects of its subclass without breaking the application. Example: If Bird is a parent class, any subclass like Sparrow should work correctly wherever Bird is used. 4️⃣ Interface Segregation Principle (ISP) Clients should not be forced to depend on interfaces they do not use. Instead of creating large interfaces, split them into smaller, specific ones. Example: Vehicle Driveable Flyable This keeps interfaces clean and focused. 5️⃣ Dependency Inversion Principle (DIP) High-level modules should not depend on low-level modules. Both should depend on abstractions (interfaces). In Spring Boot, this is achieved using Dependency Injection. Example: @Autowired private PaymentService paymentService; This makes the system loosely coupled and easier to maintain. Why SOLID Principles Matter Following SOLID principles helps to: ✔ Improve code readability ✔ Reduce tight coupling ✔ Make applications easier to scale ✔ Improve maintainability These principles are widely used in Java, Spring Boot, and enterprise applications. Tech Stack I work with: Java | Spring Boot | REST APIs | PostgreSQL | React #Java #SpringBoot #SOLIDPrinciples #CleanCode #SoftwareEngineering #BackendDevelopment

🚀 Want to build Java apps in minutes instead of hours? This is where developers level up. 👇 When I started my Java journey, I spent HOURS on: ❌ XML configurations ❌ Dependency issues ❌ Server setup Then I discovered Spring Boot… and everything became faster ⚡ 💡 Why Spring Boot is powerful: ✔️ Auto-configuration — no manual setup ✔️ Embedded server — run instantly ✔️ Starter dependencies — no version conflicts 🧠 What every developer should learn: 🔹 Spring Boot vs Spring MVC 🔹 Must-know annotations 🔹 Build REST APIs quickly 🔹 Use JPA — less SQL, more productivity 🔹 Secure APIs with JWT 🔐 🔹 Scale with Microservices 🚀 💥 Truth: Spring Boot is not just a framework… It’s a developer productivity booster. 📌 I created a simple visual guide to make it easy. 👉 Swipe → Learn → Build 💾 SAVE this post for later 👥 TAG someone learning Java 💬 COMMENT “BOOT” — I’ll share roadmap Follow for more 🚀 #SpringBoot #JavaDeveloper #BackendDevelopment #Microservices #Coding #Developers

🚀 Just published DockerJar — a Docker image that lets you run ANY executable JAR file without writing a single Dockerfile. Tired of writing the same boilerplate Dockerfile for every Java project? DockerJar solves that. One command is all you need: docker run -d \  -v $(pwd)/jars:/app/jars \  -e JAR_FILE=/app/jars/your-app.jar \  -p 8080:8080 \  nsiva77/dockerjar:latest That's it. Your JAR is running in Docker. ✅ 🔧 What it supports: → Spring Boot apps, microservices, CLI tools, batch jobs and Any executable JAR → Java 8, 11, 17, and 21 (multi-arch: AMD64 + ARM64) → Configurable JVM options, ports, and runtime args via env vars → Based on Eclipse Temurin — production ready out of the box No more copy-pasting Dockerfiles across projects. Just mount your JAR, set the env vars, and go. 🐳 Docker Hub: https://lnkd.in/gcnU2QxW 📂 GitHub: https://lnkd.in/gt5FbX6E Built this for the Java community — free to use under MIT license. Drop a ⭐ if it helps you! #Java #Docker #SpringBoot #DevOps #OpenSource #Microservices #Kotlin

🚀 Still confused about Spring Configuration styles? Let’s simplify it in 60 seconds. When learning Spring Framework, one of the first questions developers face is: 👉 “How does Spring actually create and manage objects (Beans)?” The answer lies in Spring Configuration — and there are three powerful ways to do it. 🌱 1️⃣ XML Configuration (Traditional Approach) The classic way Spring started with. ✅ Centralized configuration ✅ No annotations required ❌ Verbose XML files ❌ Hard to maintain in large applications 📌 Best for: Legacy or older enterprise projects. 🏷️ 2️⃣ Annotation-Based Configuration The most commonly used approach today. ✅ Less XML ✅ Cleaner and readable code ✅ Easy Dependency Injection using annotations like: @Component, @Service, @Repository, @Autowired ❌ Configuration spreads across classes. 📌 Best for: Modern Spring applications. ☕ 3️⃣ Java-Based Configuration (@Configuration) Pure Java configuration — modern and type-safe. ✅ Full Java control ✅ Compile-time checking ✅ Cleaner & flexible setup ❌ Requires deeper Spring understanding. 📌 Best for: Spring Boot & production-ready systems. 💡 Key Takeaway Spring evolved from XML → Annotations → Java Config to make development: ✔ Faster ✔ Cleaner ✔ More maintainable ✔ Developer-friendly 🔥 Pro Tip: Most modern applications use Annotation + Java Config together — especially in Spring Boot. 💬 Which configuration style did you start with — XML or Annotations? Let’s discuss in comments 👇 #Java #SpringFramework #SpringBoot #BackendDevelopment #JavaDeveloper #SoftwareEngineering #LearningInPublic #Programming #TechCommunity #Developers

💡 Bean vs Object in Java – Clear Understanding While learning Spring/SpringBoot Framework, one statement really stands out: 👉 “All beans are objects, but not all objects are beans.” Let’s break it down 👇 🔹 Object (Java) Created using new keyword Managed by the developer No special lifecycle No built-in dependency management Example: Student s = new Student(); 🔹 Bean (Spring) Object managed by Spring IoC container Created, configured, and injected automatically Supports lifecycle (init & destroy) Enables Dependency Injection (DI) Example: @Component class Student {} 🔹 Key Differences ✔ Creation Object → Manual (new) Bean → Managed by Spring ✔ Lifecycle Object → Developer-controlled Bean → Container-controlled ✔ Dependency Injection Object → Manual Bean → Automatic ✔ Scope Object → No predefined scope Bean → Singleton, Prototype, Request, Session 🔹 Why Beans Matter? Using beans helps in: ✅ Loose coupling ✅ Better testability ✅ Scalable architecture ✅ Cleaner code 🚀 Conclusion Objects are basic building blocks in Java, but beans take it further by adding intelligence through the Spring container. #Java #SpringBoot #BackendDevelopment #Programming #SoftwareDevelopment

𝗠𝗼𝘀𝘁 𝗨𝘀𝗲𝗱 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗦𝗽𝗿𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 (𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗠𝘂𝘀𝘁 𝗞𝗻𝗼𝘄!) Spring makes Java development faster and easier with powerful annotations that reduce boilerplate code and simplify configuration. Here are some of the most commonly used Spring annotations every developer should understand: ✅ @SpringBootApplication → Entry point of a Spring Boot app (combines @Configuration, @EnableAutoConfiguration, @ComponentScan) ✅ @Component → Marks a class as a Spring-managed bean ✅ @Service → Business logic layer bean ✅ @Repository → Data access layer bean with exception translation ✅ @Controller → Handles web requests (MVC) ✅ @RestController → Combines @Controller + @ResponseBody for REST APIs ✅ @Autowired → Automatically injects dependencies ✅ @RequestMapping → Maps HTTP requests to handler methods ✅ @GetMapping / @PostMapping / @PutMapping / @DeleteMapping → Shortcut HTTP method mappings ✅ @Configuration → Defines configuration class ✅ @Bean → Declares a bean manually ✅ @Value → Injects values from properties files 💡 Mastering these annotations helps you build scalable, clean, and production-ready Spring applications faster. #SpringBoot #SpringFramework #JavaDeveloper #BackendDevelopment #RESTAPI #Microservices #JavaProgramming #SoftwareDevelopment #Programming #TechLearning

🚀 Build a 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲, 𝗧𝗵𝗿𝗲𝗮𝗱-𝗦𝗮𝗳𝗲 Java Logging Framework I designed and implemented a 𝗖𝘂𝘀𝘁𝗼𝗺 𝗝𝗮𝘃𝗮 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 from scratch, focusing on performance, thread safety, and reusability across multiple modules instead of relying on existing logging libraries. The objective was to build a modular, extensible, and thread-safe logging utility that can be reused across Spring Boot applications. 🏗️ Architecture Highlights • 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 → Centralized logger creation using LoggerFactory   • 𝗦𝗶𝗻𝗴𝗹𝗲𝘁𝗼𝗻 𝗽𝗲𝗿 𝗖𝗹𝗮𝘀𝘀→ Managed using ConcurrentHashMap<String, CustomLogger>   • Thread-safe initialization using computeIfAbsent()   • 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 → Separate Formatter, Writer, and Level handling   • 𝗣𝗮𝗰𝗸𝗮𝗴𝗲𝗱 𝗮𝘀 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝗝𝗔𝗥 → Plug-and-play across Controller / Service / Repository layers  ⚡ Key Technical Points • 𝗟𝗼𝗰𝗸-𝗳𝗿𝗲𝗲 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆 𝘂𝘀𝗶𝗻𝗴 𝗖𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁𝗛𝗮𝘀𝗵𝗠𝗮𝗽. • One logger instance per class (singleton strategy)   • Multi-module reusable logging library   • Clean separation of concerns following SOLID principles   • Designed for safe usage in multi-threaded environments  🔄 Flow Application Layer   → LoggerFactory   → ConcurrentHashMap Cache   → CustomLogger   → Formatter / Level / Writer   → Console Output The framework is packaged as a reusable library and integrated into a Spring Boot project to simulate real-world multi-layer usage. GitHub: https://lnkd.in/gKpGZrCy This project focuses on practical low-level design, concurrency, and reusable library architecture. #Java #SystemDesign #LowLevelDesign #Concurrency #SpringBoot #DesignPatterns #BackendDevelopment #SoftwareArchitecture