Ashish Sharma’s Post

When a Java application runs, the JVM organizes memory into well-defined regions—each with a distinct responsibility and lifecycle. Understanding this memory model is key to writing efficient, scalable, and high-performing applications. From object allocation in the Heap, to method execution in the Stack, and metadata management in Metaspace—every part plays a critical role in how your application behaves at runtime. Sharing a simple visual to break it down 👇 #Java #JVM #MemoryManagement #SoftwareEngineering #PerformanceOptimization

I’ve been exploring some of the features introduced in Java 25 recently, and it’s interesting to see how the language continues to evolve toward better performance and developer productivity. What stands out to me: - Continued focus on JVM performance and scalability - Improvements that simplify complex code patterns - Enhancements that align well with modern microservices architectures In real-world systems, especially when working with distributed services and high-throughput applications, even small improvements at the language/runtime level can have a noticeable impact. Curious to hear — are you already using Java 25 in production, or still evaluating? #Java #Java25 #Microservices #BackendDevelopment #SoftwareEngineering

I’ve been exploring some of the features introduced in Java 25 recently, and it’s interesting to see how the language continues to evolve toward better performance and developer productivity. What stands out to me: - Continued focus on JVM performance and scalability - Improvements that simplify complex code patterns - Enhancements that align well with modern microservices architectures In real-world systems, especially when working with distributed services and high-throughput applications, even small improvements at the language/runtime level can have a noticeable impact. Curious to hear — are you already using Java 25 in production, or still evaluating? #Java #Java25 #Microservices #BackendDevelopment #SoftwareEngineering

🔥 After 9 years of Java development, here's the #1 insight I wish I had on Day 1: The JVM is your best friend — if you understand it. Most devs write Java for years without ever looking at: → How the Garbage Collector actually works → What happens during class loading → Why JIT compilation changes everything at runtime After nearly a decade, I can tell you: every major performance bug I've solved came down to JVM internals. ✅ Learn G1GC vs ZGC vs Shenandoah ✅ Use -XX flags to tune heap size and GC behavior ✅ Read GC logs — they tell you the whole story You don't need to be a JVM engineer. But you DO need to know what's happening under the hood. What JVM concept changed how you write Java? Drop it below 👇 #Java #JVM #SoftwareDevelopment #BackendDevelopment #JavaDeveloper

Java’s real breakthrough wasn’t syntax — it was portability. The Java Virtual Machine allowed organizations to rethink software distribution and deployment across diverse hardware and OS environments. A quick read for tech leaders and engineers: https://wix.to/GEDnmYF #Java #SoftwareArchitecture #TechLeadership #JVM

Java 25 is shaping up to be a very compelling LTS release. From Scoped Values and Structured Concurrency to runtime and JVM improvements, there’s a lot here for teams building modern distributed systems. I put together a breakdown of the features I think matter most in practice — not just what’s new, but why it matters. Would be curious what others are most excited about in Java 25. https://lnkd.in/epgszT4Q #Java25 #Java #JVM #SoftwareEngineering #CloudNative

Most Java developers think: More technical depth = career growth So they go deeper Architecture Frameworks Performance And still… Invisible No recognition No real growth At some point, it stops being about code. There’s another path most developers ignore. This conversation breaks it down. Watch: https://bit.ly/46whsUZ

🚀 Day 1 – Strengthening Java Fundamentals Starting with something simple but powerful: How Java Works Behind the Scenes When we write a Java program, it doesn’t directly run on the machine. Instead: 👉 Java code → compiled into Bytecode 👉 Bytecode → executed by the JVM (Java Virtual Machine) Why this matters? Because this is what makes Java platform independent — “Write Once, Run Anywhere.” Also, JVM doesn’t just run code — it handles: ✔ Memory Management (Garbage Collection) ✔ Security ✔ Performance optimization Understanding this foundation helps in writing better, optimized applications—especially when working with frameworks like Spring Boot. #Java #BackendDevelopment #LearningInPublic #JVM #SoftwareEngineering

#Day02 After understanding how Java code gets executed, the next question is: 👉 Where does the data actually get stored? In JVM, memory is mainly divided into two parts: 🔹 Heap Memory • Used to store objects and class instances • Shared across all threads • Managed by Garbage Collection • Objects generally have longer lifetime 🔹 Stack Memory • Stores method calls and local variables • Each thread has its own stack • Automatically managed • Data exists only during method execution 📌 Key difference: Heap → Stores Objects Stack → Handles Execution (methods & variables) Understanding this difference helps in writing better and more efficient Java applications. #Java #JVM #BackendDevelopment #Learning

Many beginners get confused between JDK, JRE, and JVM… here’s a simple way to understand 👇 These are the core components that make Java work behind the scenes. Let’s break it down simply 👇 👉 JVM (Java Virtual Machine) ▪️ Runs Java bytecode ▪️ Makes Java platform independent 👉 JRE (Java Runtime Environment) ▪️ Provides environment to run Java programs ▪️ Includes JVM + libraries 👉 JDK (Java Development Kit) ▪️ Used to develop and run Java programs ▪️ Includes JRE + development tools 👉 JIT Compiler (Just-In-Time Compiler) ▪️ Part of JVM ▪️ Converts bytecode into machine code at runtime ▪️ Improves performance 💡 Simple way to remember: JDK > JRE > JVM 📌 In short: JVM → runs code JRE → provides environment JDK → complete package JIT → makes execution faster Understanding this helped me see how Java actually works behind the scenes. #Java #JDK #JRE #JVM #JIT #CodingJourney #FullStackDeveloper