Java Concurrency Issue Resolved with ReentrantLock and AtomicReference

By recently working with Java, I asked myself: 4GB for heap memory and vm still crashing during unit tests? I believe this turned into something common to Java devs, I mean, not the crash, but reserve 4GB to the app to run. The whole sort of boxing, garbage collection and syntax sugar available on Java, made language more easier over the time, but also made software produced by it less efficient to deal with actual hardware. Java should be consuming less hardware, not more. I decided to focus on rust because he has a more honest approach on how tech is evolving. #rust #java #programming #memory #hardware #tech #performance

How JVM Works in Java ☕🚀 Ever wondered what happens after we write and run a Java program? The JVM (Java Virtual Machine) makes it possible for Java to be platform independent. From compiling source code into bytecode, loading classes, managing memory through Heap and Stack, executing code with the JIT Compiler, to automatic Garbage Collection — JVM handles it all behind the scenes. Understanding JVM internals helps developers write better, optimized, and scalable applications. Excited to keep exploring Java fundamentals one concept at a time! #Java #JVM #JavaDeveloper #Programming #SoftwareEngineering #BackendDevelopment #Tech #LearningJourney

While building a recent Spring Boot application, I realized... The Hook: Stop defaulting to .parallelStream() to make your Java code "faster." 🛑 The Insight: It’s a common misconception that parallel streams always improve performance. Under the hood, parallelStream() uses the common ForkJoinPool. If you are executing CPU-intensive tasks on a massive dataset, it’s great. But if you are doing I/O operations (like database calls or network requests) inside that stream, you will exhaust the thread pool and bottleneck your entire application. The Pro Tip: Always benchmark. For I/O bound tasks, look into asynchronous programming (like CompletableFuture) or Java 21's Virtual Threads instead of parallel streams. #Java #PerformanceOptimization #SoftwareEngineering #CleanCode

🚀 Beats 100.00% of Java submissions! Just solved a LeetCode problem with 0ms runtime — faster than every other Java solution submitted. That's not something you see every day! ✅ The problem: Find the maximum product of two distinct integers in an array. Simple concept, but the key is doing it in a single O(n) pass — no sorting, no extra space. The approach: → Track the two largest numbers as you iterate → Return (first-1) × (second-1) → Done. Clean, fast, efficient. Every once in a while, the stars align and your solution hits that perfect mark. Today was that day. 💯 Keeping the momentum going — one problem at a time. 💪 #LeetCode #Java #DSA #CodingChallenge #100Percent #ProblemSolving #Programming #SoftwareEngineering #CompetitiveProgramming

I just compiled the entire Java roadmap into a single PDF. Basic → Advanced → Expert. 47 topics. 38 pages. Zero fluff. Here's what's inside 👇 ↳ Core syntax, OOP, and collections ↳ Streams, lambdas, and Optional done right ↳ Concurrency — from synchronized to Virtual Threads ↳ JVM internals, GC tuning, and memory management ↳ Pattern matching, records, sealed classes ↳ Project Loom, structured concurrency, and the future of Java Whether you're writing your first "Hello, World" or debugging a GC pause at 3 AM, this guide has something for you. PDF attached. 📩 ♻️ Repost to help another dev level up. #Java #Programming #SoftwareEngineering #BackendDevelopment #LearnToCode #JVM #CodingTips #Developer #SpringBoot #TechCommunity

Stop treating Thread states as a mystery. 🔍 We often talk about multithreading in Java, but how often do we really visualize the Thread lifecycle? When you understand the transition from NEW to TERMINATED, you’re not just memorizing states—you’re learning how to: ✅ Diagnose thread contention. ✅ Debug deadlocks effectively. ✅ Build more performant backend systems. In our latest "Backend Simplified" video, we break down the entire lifecycle. No fluff—just the core architecture you need to write production-grade concurrent code. If you are a student prepping for interviews or a dev looking to refine your concurrency skills, this one is for you. Watch it here: 👉 https://lnkd.in/gTQJVPRK What’s the most frustrating thread-state issue you’ve had to debug recently? Let’s discuss below! 👇 #Java #Concurrency #MultiThreading #BackendDevelopment #SoftwareEngineering #CareerGrowth #BackendSimplified

Java is called platform independent — but here’s what actually happens behind the scenes. When you compile Java code, it doesn’t turn into machine code. It becomes bytecode (.class file), which is not tied to any operating system. This bytecode runs on the JVM (Java Virtual Machine). Each OS has its own JVM, which converts the same bytecode into system-specific instructions. That’s why the same program runs everywhere without rewriting the code. Simple flow: Java Code → Bytecode → JVM → Machine Code It’s not magic — it’s smart design. #Java #JVM #Programming #SoftwareEngineering

💡 𝗝𝗮𝘃𝗮/𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 𝗧𝗶𝗽 - 𝗦𝘄𝗶𝘁𝗰𝗵 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 💎 🕯 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘄𝗶𝘁𝗰𝗵 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁 The traditional switch statement has been part of Java since the beginning. It requires explicit break statements to prevent fall-through, which can lead to bugs if forgotten. Each case must contain statements that execute sequentially, making the code verbose and error-prone. 💡 𝗠𝗼𝗱𝗲𝗿𝗻 𝗦𝘄𝗶𝘁𝗰𝗵 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 Switch expressions were introduced in Java 14 as a more concise and safe alternative. Using the -> syntax, you eliminate the need for break statements and can directly return values. Multiple cases can be grouped with commas, and the compiler enforces exhaustiveness for better safety. ✅ 𝗞𝗲𝘆 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 ◾ No break statements, safer and cleaner code. ◾ Direct value assignment, treat switch as an expression. ◾ Multiple labels with comma separation. ◾ Compiler exhaustiveness checks, fewer runtime errors. 🤔 Which one do you prefer? #java #springboot #programming #softwareengineering #softwaredevelopment

Debugging in Java taught me something unexpected: 👉 The issue is rarely where you think it is. Early on, I used to focus only on the line where the error appeared. But in real-world systems, especially microservices, the root cause is often somewhere else. It could be: ✔ A delayed API response ✔ A misconfigured environment variable ✔ A hidden edge case in another service Now, whenever I debug, I ask: “What chain of events led here?” 💡 Insight: Great developers don’t just fix errors — they trace systems. #Java #Debugging #SoftwareEngineering #BackendDevelopment #Microservices

☕ How the JVM Works We write Java code, compile it, and run it every day — but the JVM does much more behind the scenes. From compiling source code into bytecode, to loading classes, verifying safety, managing memory, and optimizing execution with JIT compilation, the JVM is what makes Java powerful and platform-independent. In simple terms: Java code → Bytecode → Class Loading → Linking → Initialization → Execution → Optimized Runtime That’s the magic behind “Write Once, Run Anywhere.” ⚙️ #Java #JVM #Programming #SoftwareEngineering #BackendDevelopment