Ujith B’s Post

👉 What is Spring Framework? Spring is a powerful Java framework used to build enterprise-level applications easily. It helps developers create scalable, secure, and maintainable backend systems. 💡 In simple words: Spring reduces the complexity of Java development by handling most of the boilerplate work for you. 🔥 Why is Spring so popular? ✅ Lightweight & Flexible – You can use only what you need ✅ Dependency Injection (DI) – Makes code clean and loosely coupled ✅ Spring Boot Support – Build applications faster with minimal setup ✅ Strong Community – Huge support and learning resources ✅ Widely Used in Industry – Many companies rely on Spring for backend development 🎯 Example: Without Spring → You write a lot of configuration code With Spring → It manages objects and dependencies automatically 📌 My Take: Spring makes Java development faster, cleaner, and industry-ready 🚀 #SpringFramework #SpringBoot #Java #BackendDevelopment #LearningInPublic

Understanding HTTP status codes is very important for backend developers. While working with APIs in Java, Spring Boot, and Servlets, understanding HTTP status codes is crucial for backend developers. HTTP status codes are important because they: - Indicate the result of a request (success, error, or redirection) - Help in debugging API interactions - Enable proper error handling and user experience - Provide insights into server and client-side issues Some key HTTP status codes in Java/Spring Boot/Servlets: - 200 OK: Request succeeded - 201 Created: Resource created successfully - 400 Bad Request: Invalid request from client - 401 Unauthorized: Authentication required - 403 Forbidden: Access denied - 404 Not Found: Resource not available - 500 Internal Server Error: Server-side issue Using these codes in Spring Boot or Servlets improves API reliability and maintainability. Using the right status codes improves API clarity, error handling, and user experience. A simple yet crucial aspect of robust backend development! 💻 #APIs #Backend #Java #SpringBoot #HTTP #APIDevelopment #Learning #DeveloperJourney

The ultimate Java Backend Cheat Sheet. 📄🔥 Everything you need to master: 🔹 Core & Advanced Java 🔹 Spring Boot & REST APIs 🔹 SQL & Performance Tuning 🔹 Testing (JUnit/Mockito) 🔹 Git & GitHub Download/Save the document below! Found this helpful? 👉 Follow Surya Mahesh Kolisetty for more. 👉 Repost for your fellow devs. #SoftwareDevelopment #Backend #Java #LearningResources #TechTips #Developers #cfbr #connections

#java #springboot #tips 🚫 Stop using field injection in Spring Boot. Here’s why: Most developers write this: @Autowired private UserService userService; ✅ Use constructor injection instead: @Service @RequiredArgsConstructor public class OrderService { private final UserService userService; // immutable + testable } Why it matters: • Fields are final → truly immutable • Easier to unit test without Spring context • Fails fast at startup if bean is missing • Works perfectly with Lombok’s @RequiredArgsConstructor This is also the official Spring recommendation since Spring 4.x. #Java #SpringBoot #CleanCode #BackendDev

🚀 Day 2 — What is Spring, IoC & Dependency Injection? Yesterday I learned why Spring is needed… Today I understood how Spring actually works 👇 💡 What is Spring? Spring is a Java backend framework used to build enterprise applications easily. 👉 It reduces complexity and manages application flow ❗ Problem (Before Spring): We create objects using new Code becomes tightly coupled 😓 Difficult to manage and test 💡 Solution → IoC (Inversion of Control) Earlier → Developer creates objects Now → Spring creates & manages objects 👉 Control is shifted from developer → Spring 👉 Done using ApplicationContext (IoC container) 🔍 What is Dependency Injection (DI)? 👉 Spring provides required objects instead of creating them manually (Simple: You don’t create objects, Spring gives them) ⚡ Types of DI: Constructor Injection ✅ (recommended) Setter Injection Field Injection 🎯 Why IoC + DI matters? Loose coupling Easy testing Cleaner & maintainable code 💡 One simple understanding: 👉 Don’t create objects… let Spring handle them 💬 Did IoC + DI make things easier for you or still confusing? Day 2 done ✅ #Spring #Java #BackendDevelopment #LearningInPublic #30DaysOfCode #SpringBoot #Developers

Day 49 of Java Development with Hyder Abbas Today I focused on Spring Boot REST API advanced concepts and strengthened backend testing skills. Here’s what I learned: ✅ Unit Testing for REST APIs using JUnit5 + Mockito Used @WebMvcTest for controller layer testing Used @MockBean to mock service layer dependencies Tested APIs using MockMvc Verified HTTP responses like 200 OK and 201 CREATED Converted Java objects to JSON using Jackson ObjectMapper ✅ Profiles in Spring Boot Learned how different environments like dev, test, prod use separate configurations Helps manage app behavior without changing code ✅ Spring Boot Actuator Added actuator dependency to monitor application health/info Exposed endpoints with: management.endpoints.web.exposure.include=* ✅ HTTP Status Codes Deep Dive 1xx → Informational 2xx → Success (200 OK, 201 Created) 3xx → Redirection 4xx → Client Errors (400 Bad Request, 404 Not Found) 5xx → Server Errors (500 Internal Server Error, 503 Service Unavailable) ✅ ResponseEntity in Spring Boot Used ResponseEntity to return: Status Code Headers Response Body Every day I’m getting stronger in Java + Spring Boot + Backend Development 💻🔥 #Java #SpringBoot #RESTAPI #Mockito #JUnit5 #BackendDeveloper #JavaDeveloper #Actuator #LearningJourney #CodingDaily #OpenToWork Naman Pahariya Awanish Kumar Sharma

99% of Java developers don’t know these terms. Yet they wonder why their API design keeps falling apart. When I first started building APIs, I was guessing at half of these. That is where bad API design starts. Here are 16 API terms every Java developer should know cold: → Resource - the data or service your API exposes → Request / Response - the call and the answer → Response Code - tells you what happened (200, 404, 500) → Payload - the data travelling with the request or response → Pagination - splitting large responses into manageable pages → Method - GET, POST, PUT, DELETE. Know when to use each → Query Parameters - refine and filter without new endpoints → Authentication - verifying who is calling your API → Rate Limiting - protecting your service from being overwhelmed → API Gateway - one entry point for routing and auth → CRUD - Create, Read, Update, Delete. The foundation → Cache - faster responses, less load on your database Takeaway: Great Java developers understand every layer of how their APIs communicate. #Java #SpringBoot #BackendDevelopment #SoftwareEngineering #Programming #RESTAPI #JavaDeveloper #CodingTips #Tech #SpringBoot #Java #BackendDevelopment #Microservices #SystemDesign #SoftwareArchitecture #DevOps #Observability #JWT #SpringFramework #CodeQuality #TechLeadership #codefarm

🚨 Real Issue from Legacy Migration: Decimal Precision Matters More Than You Think While working on a .NET → Java (Spring Boot) migration, we hit a subtle but critical issue — inconsistent digits after decimal points during service communication. At first glance, it looked like a simple formatting issue. But digging deeper, the root cause was floating-point precision differences across systems. 💥 Why this happens: Different platforms handle floating-point calculations slightly differently Results like 10.2 might internally become 10.1999999 or 10.2000001 When APIs communicate, even a tiny mismatch can break validations or comparisons 💡 One possible solution in Java: strictfp 👉 strictfp ensures consistent floating-point calculations across all platforms by enforcing IEEE 754 standards strictly. Example: public strictfp class CalculationService { public double calculate(double a, double b) { return a / b; } } ✅ When to use: - Cross-platform systems (like .NET ↔ Java) - Financial or precision-critical applications - When exact reproducibility matters ❗ But here’s the catch (important for interviews & real-world design): - strictfp ensures consistency, NOT precision correctness - It does NOT fix rounding issues - For financial calculations → ALWAYS prefer BigDecimal 🔥 Key takeaway: If you are still using double for business-critical calculations, you are already in trouble. 👉 Best practice: Use BigDecimal for precision-sensitive logic Use proper rounding (setScale, RoundingMode) Ensure consistent serialization/deserialization across services 💬 Curious: Have you faced floating-point precision issues in microservices or migrations? What approach did you take? #Java #SpringBoot #Microservices #BackendDevelopment #SystemDesign #DotNet #Migration #CleanCode #TechLessons

What’s your go-to approach for dynamic search in Spring Boot? 🤔 When it comes to JPA Specifications vs @Query most developers get this decision wrong. ❌ Here’s how to actually choose the right one 👇 #SpringBoot #Java #SoftwareEngineering

🚀 Sharpening my Java Full Stack fundamentals with a focus on real system behavior: 🔹 Java Core - JVM internals (Heap vs Stack, GC, JIT) - Streams → lazy execution (intermediate vs terminal) - Singleton → enum / double-checked locking (thread safety) 🔹 Spring Boot - REST design → idempotency (PUT/DELETE), POST with idempotency key - Security → JWT + Spring Security filters - Global exception handling → "@RestControllerAdvice" - Packaging → JAR (embedded Tomcat) vs WAR - Tomcat tuning → thread pool, connection timeout 🔹 Microservices - Bounded Context (DDD → separate models per service) - Communication → Feign (sync) vs Kafka (async) - Fault tolerance → Retry + Circuit Breaker + Fallback (Resilience4j) 🔹 Angular - Performance → "trackBy", virtual scroll, OnPush - Custom directives → reusable DOM behavior - JS libs → integrated via "AfterViewInit" + cleanup 🔹 DevOps - Dockerized Spring Boot ("openjdk + jar") - CORS + multi-port config (4200 ↔️ 8080) - Env-based API configs 💡 Insight: Scalability comes from combining idempotency + fault tolerance + proper boundaries, not just writing APIs. #Java #SpringBoot #Angular #Microservices #SystemDesign #Docker #FullStack