Java Object Creation in Loops Slows Backend Systems

🤔 Do We Really Need So Many Frameworks in Java? Sometimes I wonder… Are we solving problems, or just adding more layers? A simple feature today often looks like: ➡️ Spring Boot ➡️ Multiple dependencies ➡️ Config files ➡️ Annotations everywhere Don’t get me wrong — frameworks are powerful. They save time and standardize development. But I’ve also seen this 👇 ❌ Over-engineered solutions for simple problems ❌ Developers struggling to debug because “framework magic” hides everything ❌ Less focus on core Java fundamentals 👉 My takeaway: Frameworks should support your understanding, not replace it. Because at the end of the day: If you don’t understand what’s happening underneath… You’re just assembling pieces, not building systems. 💬 What’s your take — do frameworks simplify development or make it unnecessarily complex? #Java #SoftwareEngineering #SpringBoot #CleanCode #JavaDeveloper #TechDebate #BuildInPublic

💡 The Java Habit That Instantly Made My Code Cleaner One habit improved my Java code more than any framework or library. Naming things properly. Sounds simple, but it’s surprisingly hard. Compare this: int d;  vs int daysSinceLastLogin; Or this: processData(); vs calculateMonthlyRevenue(); Good naming does 3 powerful things: ✔ Makes code self-documenting ✔ Reduces the need for excessive comments ✔ Helps other developers understand your logic instantly I realized that most messy code isn't complex — it's just poorly named. Now I follow one rule: 👉 If someone can understand the code without asking me questions, the naming is good. Clean code is not just about algorithms or patterns. Sometimes it's just about choosing better words. 💬 What’s the worst variable or method name you’ve ever seen in a codebase? #Java #CleanCode #SoftwareEngineering #JavaDeveloper #CodingBestPractices #BuildInPublic

In new #Java26, Stable Values become Lazy Constants !🔥 A LazyConstant <T> will be a container that holds a single value of type T. Once assigned, that value becomes immutable. You can think of it as an eventually final value. What can you do with those? How may they be useful? And what's changed from Java 25? Here are some answers! https://lnkd.in/dMRk2grY

🚀 Java is not standing still. Are you? Most developers learned Java once… and stopped there...(sometimes I feel so). But look at what the last LTS releases have quietly changed:- 👉 Java 8- Lambdas changed how we write logic Stream API made data processing cleaner Optional reduced NullPointerExceptions 👉 Java 11- Standard HTTP Client (no more third-party hacks) Cleaner String APIs Better Lambda readability 👉 Java 17- Records = less boilerplate Sealed classes = better control over inheritance Pattern matching = smarter, cleaner code 👉 Java 21 (Game Changer)- Virtual Threads → Massive scalability boost 🔥 Pattern matching for switch Sequenced Collections 👉 Java 22 (What’s coming next) Unnamed variables (cleaner code) Better constructor flexibility More powerful stream handling High Warning- If you’re still writing Java like it’s 2016, you’re not “experienced”… you’re outdated.... What you should do instead:- 1. Start using Records instead of DTO boilerplate 2. Learn Virtual Threads (this will redefine backend scaling) 3. Use Pattern Matching to simplify messy conditions. 4. Stop overusing old-school loops → embrace Streams properly 📌 Java is evolving toward: Less boilerplate More readability Better performance And developer productivity Credit for post - Bhuvnesh Yadav #Java #JavaDeveloper #Java8 #Java11 #Java17 #Java21 #Java22 #BackendDevelopment #SoftwareEngineering #Programming #Coding #TechCareers #DevelopersLife #CleanCode #ScalableSystems #Microservices #SystemDesign #TechTrends #DeveloperGrowth #LearnToCode

Something weird happened while I was debugging a Java program today. I had a simple program running with multiple threads, and I printed the thread names just to see what was happening. The output looked something like this: main http-nio-8080-exec-1 http-nio-8080-exec-2 ForkJoinPool.commonPool-worker-3 At first I ignored it. But then I started wondering… Where are all these threads actually coming from? I didn’t create them. After digging a bit deeper, I realized something interesting. Modern Java applications are constantly using different thread pools behind the scenes. For example: • The web server creates request threads • "CompletableFuture" uses the ForkJoinPool • Some frameworks create background worker threads • The JVM itself runs internal service threads Which means even a “simple” backend service may actually be running dozens of threads at the same time. It made me realize something: A lot of complexity in backend systems isn’t in the code we write — it’s in the systems running around our code. Now I’m a lot more curious about what’s actually happening inside the JVM when our apps run. #Java #BackendEngineering #SpringBoot #SoftwareEngineering #LearningInPublic

JVM Architecture - what actually runs your Java code ⚙️ While working with Java and Spring Boot, I realized something: We spend a lot of time writing code, but not enough time understanding what executes it. That’s where the JVM (Java Virtual Machine) comes in. A simple breakdown: • Class Loader Loads compiled `.class` files into memory. • Runtime Data Areas * Heap → stores objects (shared across threads) 🧠 * Stack → stores method calls and local variables (per thread) * Method Area → stores class metadata and constants * PC Register → tracks current instruction * Native Method Stack → handles native calls • Execution Engine * Interpreter - runs bytecode line by line * JIT Compiler - optimizes frequently used code into native machine code ⚡ • Garbage Collector Automatically removes unused objects from memory --- Why this matters: Understanding JVM helps in: * Debugging memory issues (like OutOfMemoryError) * Improving performance * Writing more efficient backend systems --- The more I learn, the more I see this pattern: Good developers write code. Better developers understand how it runs. #Java #JVM #BackendDevelopment #SpringBoot #SystemDesign

The JVM Stack: A Developer's Quick Guide When you're a mid-level developer, you've probably heard the terms "stack" and "heap" thrown around. You know they're crucial for how Java applications run, but you might not have a clear picture of what's happening under the hood. Let's fix that. The JVM stack isn't some abstract concept; it's a dedicated memory area for each thread your program runs. It's the JVM's personal workspace for managing method executions. Understanding it is key to debugging StackOverflowErrors and writing more efficient code.

The JVM Stack: A Developer's Quick Guide When you're a mid-level developer, you've probably heard the terms "stack" and "heap" thrown around. You know they're crucial for how Java applications run, but you might not have a clear picture of what's happening under the hood. Let's fix that. The JVM stack isn't some abstract concept; it's a dedicated memory area for each thread your program runs. It's the JVM's personal workspace for managing method executions. Understanding it is key to debugging StackOverflowErrors and writing more efficient code.

Java Streams Series – Day 7 Today I explored an efficient approach to check whether a string is a palindrome using Java Streams. Instead of using traditional loops or reversing the string, this approach applies a functional style to compare characters from both ends, progressing toward the center. By iterating through only half of the string, it maintains optimal performance while keeping the implementation concise and readable. This reinforces how Java Streams can help write clean, declarative, and efficient code for common problems. #Java #JavaStreams #CleanCode #FunctionalProgramming #100DaysOfCode