Nikhil Reddy Soreddy Gari’s Post

Why Spring Is Moving Back Toward Simplicity Reactive programming became popular because: - Threads were expensive - Blocking didn’t scale That led to code like this: Mono<User> user = service.getUser()   .flatMap(this::validate)   .flatMap(this::enrich); Powerful — but hard to: - Read - Debug - Maintain Virtual threads allow this again: User user = service.getUser(); validate(user); enrich(user); Same scalability. Much clearer flow. 💡 Takeaway: Spring and Java are converging toward readability. #Java #SpringBoot #BackendEngineering #Java25

Java Abstraction is where clean architecture begins. By defining what an object should do (through abstract classes and interfaces) rather than how it does it, we build systems that are flexible, testable, and easier to scale. In production environments, especially in layered Spring Boot applications, abstraction powers service contracts, strategy patterns, and decoupled module design. In interviews and enterprise projects, strong understanding of abstraction often shows up in discussions around SOLID principles, API design, and extensibility. Sharpening this fundamental daily helps me design code that adapts without breaking. When designing large systems, what’s the most common abstraction mistake you’ve seen: overengineering with too many interfaces, or tight coupling disguised as abstraction? #Java #ObjectOrientedProgramming #BackendDevelopment #CleanCode #JavaDeveloper #InterviewPreparation

In production grade Java applications, final and static are more than keywords, they shape stability and structure. From defining immutable constants (like configuration values) to managing shared utilities and class level resources in Spring Boot services, their correct use directly impacts performance, thread safety, and clean architecture. In interviews and enterprise projects, understanding when to use final for immutability and static for shared behavior often reflects clarity in design thinking. Sharpening these fundamentals daily helps me write more predictable, maintainable code. What’s a common mistake you’ve seen with static or final in large codebases: overuse, misuse, or hidden side effects? #Java #ObjectOrientedProgramming #BackendDevelopment #SoftwareDesign #JavaDeveloper #InterviewPreparation

It's 2am. Production is down. Your users can't access their data. Your boss is pinging you. You stare at the error: NullPointerException at line 247 And you think: I tested this. It compiled. How. You trace it back. Find the method. It looked fine. It looked safe. Java never said a word. It let you write it. It let you compile it. It let you ship it. It waited. And then it shot you in the foot. That 2am panic isn't a skill issue. It's a language issue. Java compiles your code. It does not verify your assumptions. Rust is different. A null reference? Doesn't exist. An unhandled case? Won't compile. A value that might be missing? You handle it, or it doesn't build. You fight the compiler at 2pm. Not your users at 2am. Some foundations cannot be patched. They have to be replaced. Drop a 🦀 if you've been that dev at 2am. Follow me. #java #rust

🚀 Ever wondered how backend systems handle thousands of requests at the same time? The answer is **Multithreading**. Multithreading allows a program to execute multiple tasks concurrently using multiple threads, improving performance and responsiveness — especially in backend applications. To make this concept easier to understand, I created a **visual guide on Java Multithreading**. 📌 Topics covered in this PDF: • What is Multithreading • Thread Lifecycle in Java • Runnable Interface • Thread Synchronization • Thread Communication (wait, notify, notifyAll) • Daemon Thread • ExecutorService • Thread Pool & Fixed Thread Pool • Single Thread Executor • Future & Callable • Real World Backend Use Cases I tried to explain these concepts with **simple visuals and examples** so beginners can understand multithreading easily. 📄 Feel free to go through the slides. 💬 **Question:** Which multithreading concept do you find most confusing? #Java #Multithreading #JavaDeveloper #BackendDevelopment #Concurrency #SpringBoot #SoftwareEngineering #LearningInPublic

𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗧𝗵𝗿𝗲𝗮𝗱𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮 While revisiting modern Java concurrency concepts, I explored one of the most interesting additions introduced in Java 21 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗧𝗵𝗿𝗲𝗮𝗱𝘀. Traditionally, Java applications rely on platform threads that are mapped directly to operating system threads. These threads are powerful but relatively expensive in terms of memory usage and context switching. Virtual Threads introduce a different model. They are 𝗹𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝘁𝗵𝗿𝗲𝗮𝗱𝘀 𝗺𝗮𝗻𝗮𝗴𝗲𝗱 𝗯𝘆 𝘁𝗵𝗲 𝗝𝗩𝗠 , allowing applications to handle a much larger number of concurrent tasks efficiently. 𝗪𝗵𝘆 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗧𝗵𝗿𝗲𝗮𝗱𝘀 𝗺𝗮𝘁𝘁𝗲𝗿 𝗳𝗼𝗿 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀: ➡️Handle 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗿 𝗲𝘃𝗲𝗻 𝗺𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝘁𝗮𝘀𝗸𝘀. ➡️ 𝗟𝗼𝘄𝗲𝗿 𝗺𝗲𝗺𝗼𝗿𝘆 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝗱 compared to traditional threads. ➡️ Simpler concurrency compared to complex reactive programming models. ➡️Ideal for 𝗜/𝗢-𝗵𝗲𝗮𝘃𝘆 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Virtual Threads make it easier to build 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗝𝗮𝘃𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 without managing complex thread pools. Curious to hear from other backend engineers — Have you started experimenting with Virtual Threads in your Java services? #Java #Java21 #VirtualThreads #BackendEngineering #Microservices

From performance-critical systems to large distributed platforms, the choice of language matters. This guide compares Java and C++ through real engineering use cases. https://lnkd.in/gfyzcvwb

Exception handling is one of those fundamentals that directly impacts how reliable a system feels in production. In Java, exception handling allows us to manage unexpected situations using try, catch, and finally blocks, ensuring the application does not fail abruptly and can recover or respond gracefully. In backend systems, this becomes essential when dealing with database operations, API calls, file handling, or user input. Proper exception handling helps maintain system stability, improves debugging, and ensures a better user experience even when things go wrong. It is also a common topic in interviews because it reflects how well a developer can write robust and maintainable code rather than just making things work. When designing exception handling in a project, how do you decide between handling an exception immediately versus propagating it to higher layers? #Java #JavaDeveloper #BackendDevelopment #ExceptionHandling #ProgrammingFundamentals #CleanCode #JavaInterview

🚀 What Exactly Is a Bean in Spring? (Simple but Important) Sometimes the simplest questions are the ones we forget to explain clearly. As Spring developers, we often say: “Bean is just an object managed by Spring IoC.” But what does that really mean? In the Spring Framework: A Bean is an object that is: ✔ Created by the Spring IoC container ✔ Managed by the container ✔ Injected using Dependency Injection (DI) ✔ Stored inside the ApplicationContext ✔ Controlled through its lifecycle If you create an object using new, it’s just a normal object. If Spring creates and manages it — it becomes a Bean. Example: @Service public class PaymentService { } Because of @Service, Spring registers this class as a Bean and manages it inside the container. 💡 Why this matters? Understanding Beans properly helps in: Debugging injection issues Avoiding NoUniqueBeanDefinitionException Managing lifecycle correctly Writing clean architecture Sometimes we use Spring daily but forget the fundamentals behind it. Still learning. Still refining basics. #SpringBoot #Java #BackendDevelopment #CleanCode #SoftwareEngineering

🚀 Why @RestController is a Game Changer in Spring Boot 🔥 One annotation that instantly elevates your API development: @RestController Behind the scenes, it combines: @Controller + @ResponseBody 💪 Why it’s powerful: 👉 Automatically converts Java objects into JSON 👉 Eliminates unnecessary boilerplate 👉 Makes REST APIs clean, readable, and production-ready 👉 Encourages modern API design practices Sometimes, one annotation makes all the difference. 💡 #Java #SpringBoot #BackendDevelopment #SoftwareEngineering #TechGrowth