Java Migration Issue: Decimal Precision Matters in Cross-Platform Systems

🚀 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

👉 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

🚀Java 26 Released: Massive Impact. Have You Started Using It? 🤔 The latest release of Java focuses on what truly matters in production - performance, reliability, and scalability. 👇 🌐 HTTP/3 SUPPORT Use modern transport for faster service-to-service calls in microservices. e.g., HttpClient.newHttpClient().send(request, BodyHandlers.ofString()); BENEFIT 👉 Lower Latency APIs 🔒 STRONGER IMMUTABILITY Prevents unsafe modification of final fields, so avoids hidden bugs in large systems. e.g., final User user = new User("prod-safe"); // cannot be altered via reflection easily BENEFIT 👉 Safer Data Models ⚡ G1 GC OPTIMIZATION Improved garbage collection reduces pause times under high load. e.g., java -XX:+UseG1GC -Xms2g -Xmx2g App BENEFIT 👉 Better Throughput 🚀 AOT CACHING Preloads objects to reduce startup time & ideal for Kubernetes, autoscaling. e.g., java -XX:+UseAOTCache App BENEFIT 👉 Faster Startup in Containers 💬What do you think about Java 26 features? #Java26 #Java #JVM #BackendDevelopment #Performance #Microservices

💡 REST API Design Tips for Java Developers Designing APIs is more than just writing controller methods. Good APIs are predictable, scalable, and easy for other developers to use. A few REST practices I always try to follow in Spring Boot: 🔹 Use clear resource naming Example: /users instead of /getUsers 🔹 Use proper HTTP methods GET → read POST → create PUT → update DELETE → remove 🔹 Return meaningful HTTP status codes 200 – success 201 – resource created 404 – resource not found 500 – server error 🔹 Keep responses consistent using DTOs Clean API design makes systems easier to maintain and integrate. What’s one REST best practice you always follow? #Java #SpringBoot #API #RESTAPI #BackendDeveloper #SoftwareEngineering #TechCommunity

Spring Boot API docs in 5 minutes. [Part 2 of 6 — Building a Single API Catalog Across Your Org] If your Spring Boot API lacks auto-generated documentation, here's a quick solution for enterprise Java. Step 1 — Add one dependency: springdoc-openapi-starter-webmvc-ui (v2.5.0) This addition allows Spring Boot to auto-wire everything, exposing your API immediately at: → /v3/api-docs.yaml → raw OpenAPI spec → /swagger-ui.html → interactive UI Step 2 — Enrich with annotations: - @Tag on your controller (names the API group) - @Operation on each endpoint (summary + description) - @ApiResponse for each HTTP response code This process takes about 30 minutes per controller and offers long-term benefits. Step 3 — Migrate away from Springfox if you haven't: Springfox hasn't been updated since 2020 and breaks on Spring Boot 2.6+. Remove it and replace it with springdoc. The Docket bean you created? Delete it — springdoc doesn't require it. Step 4 — Standardize in application.yml: Set springdoc.api-docs.path, add contact information (team name + email), and set the app title and version using environment variables. This ensures every Spring Boot service in your organization exposes the same endpoint path, allowing Jenkins to know exactly where to harvest from. Note: While the annotation enrichment is optional for the catalog to function, unannotated endpoints will appear as "GET /api/v1/something" without descriptions. Investing 30 minutes in annotations will benefit you and your teammates in the future. ↑ Post 1: The big picture strategy ↓ Post 3: Spring MVC on WebSphere (harder — no auto-config) If you are still using Springfox, it's time to migrate. Drop your questions below.

𝗝𝗮𝘃𝗮 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 & 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 Java developers, are you ready to take your backend development skills to the next level? Let’s dive into Spring Boot and Microservices, two essential technologies for building scalable and efficient applications. ✅ 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 – 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱 𝗝𝗮𝘃𝗮 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • @𝗦𝗽𝗿𝗶𝗻𝗴𝗕𝗼𝗼𝘁𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 – The entry point of Spring Boot applications. • @𝗥𝗲𝘀𝘁𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿 – Simplifies REST API creation. • @𝗔𝘂𝘁𝗼𝘄𝗶𝗿𝗲𝗱 – Enables dependency injection. • 𝗦𝗽𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗝𝗣𝗔 – Streamlines database interactions. • 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝗲𝗿𝘃𝗲𝗿𝘀 – Tomcat, Jetty, and Undertow for hassle-free deployment. ✅ 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 • 𝗦𝗽𝗿𝗶𝗻𝗴 𝗖𝗹𝗼𝘂𝗱 – Manages service discovery, load balancing, and configuration. • 𝗘𝘂𝗿𝗲𝗸𝗮 – Enables dynamic service discovery. • 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 (𝗭𝘂𝘂𝗹/𝗦𝗽𝗿𝗶𝗻𝗴 𝗖𝗹𝗼𝘂𝗱 𝗚𝗮𝘁𝗲𝘄𝗮𝘆) – Ensures efficient routing and security. • 𝗖𝗶𝗿𝗰𝘂𝗶𝘁 𝗕𝗿𝗲𝗮𝗸𝗲𝗿 (Resilience4j/Hystrix) – Prevents cascading failures. • 𝗖𝗼𝗻𝗳𝗶𝗴 𝗦𝗲𝗿𝘃𝗲𝗿 – Centralized configuration management for distributed systems. 💡 Stay tuned for insights, best practices, and the latest tech trends! Let’s level up together. 🔗 Start learning today: w3schools.com GeeksforGeeks Tutorialspoint 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗳𝗼𝗹𝗹𝗼𝘄 Nikhil Solanki hashtag#Java hashtag#SpringBoot hashtag#Microservices hashtag#BackendDevelopment hashtag#TechTrends

Java 26 dropped. No flashy syntax updates, but don’t let that fool you. This release is all about performance, reliability, and cleaning up long-standing issues. Here are 5 updates that actually matter: 🛑 “final” now truly means final For years, deep reflection could still mutate final fields. That loophole is now closed with strict runtime enforcement. Immutability finally means what it should. ⚡ Native HTTP/3 support The built-in HttpClient now supports HTTP/3. One small config change unlocks lower latency via QUIC and UDP. This is a real upgrade for microservices. 🚀 Free performance boost (G1 GC) Synchronization overhead in G1 has been reduced significantly. Translation: better throughput and faster processing with zero code changes. ☁️ Faster startup in cloud environments AOT object caching now works with any garbage collector. This cuts down warm-up time and pushes Java closer to near-instant startup in containers. 🪦 Applets are officially gone Long overdue. The Applet API has been removed, cleaning up legacy baggage and keeping the platform focused. This release won’t grab attention at first glance, but it delivers where it matters—performance, stability, and modern infrastructure support. Full breakdown (with code) coming soon. Which of these are you actually planning to use? #Java #JDK26 #SoftwareEngineering #BackendDevelopment #JavaDeveloper #C2C #Remote

While working with Spring Boot or ASP.NET Core, Dependency Injection often feels like magic—but it’s not. In Spring Framework, DI is mainly powered by 𝐉𝐚𝐯𝐚 𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧, which allows the framework to inspect classes at runtime, discover dependencies, create objects dynamically, and even inject values into private fields by bypassing normal access rules. At its core, DI is not magic but a combination of runtime type inspection (reflection) and IoC container management. Once you understand this, Spring stops feeling like a black box and becomes a well-designed system built on powerful runtime mechanisms. I’ve explained this in detail here: 👉 https://lnkd.in/gHYTqpgu

Java 25 is the first LTS release since Java 21, and it ships 18 JEPs. Here's what actually matters for backend engineers: 1. Scoped Values (JEP 506) — finally replacing ThreadLocal ThreadLocal was always messy in virtual thread environments. Scoped Values give you immutable, thread-safe data sharing across method calls, cleaner and safer, especially with Project Loom. 2. Flexible Constructor Bodies (JEP 513) You can now run logic BEFORE calling super(). Previously forbidden. Now you can validate or compute values before delegating to the parent constructor. Small change. Huge ergonomic improvement. 3. Stable Values (JEP 455) — lazy init done right Think of it as a better final field. Initialized once, lazily, thread-safely without volatile or synchronized boilerplate. Perfect for expensive objects you don't want to create upfront. 4. Compact Object Headers JVM-level improvement. Object header size drops from 96–128 bits to 64 bits. Less memory per object = better GC performance at scale. Zero code change required. You get this for free on upgrade. 5. Pattern Matching for Primitives (JEP 507) Switch expressions now work cleanly with int, long, float, double. No more manual casting or wrapping in Integer/Long just to pattern match. The bottom line: Java 21 gave us virtual threads. Java 25 makes them production-ready with Scoped Values + better runtime efficiency. Most enterprise teams are still on Java 17. The ones upgrading to Java 25 now will feel the performance difference in 6 months. #Java #Java25 #LTS #JDK25 #SpringBoot #BackendDevelopment #JavaDeveloper #SoftwareEngineering #JVM #VirtualThreads #ProjectLoom #FullStackDeveloper #C2C #OpenToWork

Most Java backends don’t have architecture problems. They have small performance mistakes that go unnoticed… until production. After analyzing dozens of real-world systems, I keep seeing the same ones: • Objects created inside hot loops • Streams used in critical paths • Hidden N+1 queries • Blocking calls in request threads • Excessive logging Nothing crashes. Everything passes code review. But under load → performance drops hard. I wrote a short breakdown with concrete fixes you can apply in minutes 👇 👉 5 Java Backend Performance Mistakes I Keep Seeing in Production If you're working on a Java backend, this will probably save you hours of debugging later. https://lnkd.in/eWRj354Z #java #backend #performance #springboot #softwareengineering