Spring Framework Java Development

#Java #Spring #Container The Spring Container is the heart of the Spring Framework. 👉 It is responsible for: Creating objects (Beans) 🧩 Injecting dependencies 💉 Managing lifecycle 🔄 👉 In short: Spring Container = Object Manager of your application 🧠 What Does Spring Container Do? ✔️ Creates objects (Beans) ✔️ Injects dependencies (DI) ✔️ Manages lifecycle ✔️ Reads configuration (XML / Java / Annotations)

ORM is powerful, but not always the right default. A practical take on using Hibernate for consistency and SQL for performance in enterprise systems. For a deeper perspective, you can read the full article here: https://lnkd.in/gZBQB5jW #java #systemdesign #softwareengineering

One of the most valuable Java patterns in production: Immutable DTOs with Records + Builder: In real-world Java applications (Spring Boot APIs, microservices, event systems), we create hundreds of DTOs. The best modern pattern in 2026: Records (immutable by default) + Builder pattern for flexible construction.Benefits:Immutable → thread-safe and predictable No boilerplate getters/setters Builder gives nice fluent API for optional fields Excellent integration with Jackson, validation, and MapStruct Realistic production example below #Java #SpringBoot

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

Execution OS Backend — Live API Live deployment of my backend system built using Java, Spring Boot, and PostgreSQL. Key features: • REST APIs for task management and execution workflows • JWT authentication with Spring Security • PostgreSQL database design with JPA/Hibernate • Dockerized deployment on Render • Swagger API documentation 🔗 Live API: https://lnkd.in/gF96_m5a Tech stack: Java | Spring Boot | Spring Security | PostgreSQL | Docker | CI/CD

Java + Spring Boot is still a powerhouse While new frameworks keep coming, Java backend remains solid for: i) Scalable APIs ii) Enterprise applications iii) Secure systems Currently working on improving API performance and learning better design patterns. Consistency > Hype

#Java #Spring #Bean 🌱 Spring Bean Lifecycle 👉 In Spring Framework, bean lifecycle has 5 simple steps: 🔄 Lifecycle Steps 1️⃣ Instantiate ➡️ Spring creates object 2️⃣ Inject Dependencies 💉 ➡️ Dependencies added (@Autowired) 3️⃣ Initialize ⚙️ ➡️ Setup using @PostConstruct 4️⃣ Use Bean 🚀 ➡️ Business logic runs 5️⃣ Destroy 🧨 ➡️ Cleanup using @PreDestroy 🧠 One-Line 👉 Spring Bean Lifecycle = Create → Inject → Initialize → Use → Destroy (managed by Spring Container)

https://lnkd.in/dg9WBdXM Runtime upgrades in enterprise Java mean broken deps, code changes, testing. Grace Robinson & Laura Cowen introduce “zero migration”—upgrade runtimes without touching code. See how apps move across 80+ releases unchanged! #OpenLiberty #Java #API @OpenLibertyIO

Key Features in the Last 4 LTS Releases of Java This infographic highlights major features across Java 8, 11, 17, 21, and 22: - Java 8: Lambda, Stream API, Date/Time API, Optional class - Java 11: HTTP Client, var in lambdas, String improvements - Java 17: Sealed classes, Records, Pattern Matching, Enhanced Switch - Java 21: Virtual Threads, Sequenced Collections, Pattern Matching for switch - Java 22: Unnamed Variables, Streams for Primitives, Statements before super() This serves as a quick reference for Java developers to track language evolution across LTS versions. #Java #JavaDeveloper #Java8 #Java11 #Java17 #Java21 #Java22 #LTS #Programming #SoftwareDevelopment #BackendDevelopment #SpringBoot #CodeNewbie #100DaysOfCode #TechEducation #LearnJava #JavaProgramming #OpenJDK #VirtualThreads #LambdaExpressions #LinkedInTech

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐌𝐮𝐥𝐭𝐢𝐭𝐡𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐢𝐧 𝐉𝐚𝐯𝐚? Every Java app starts with one thread. One task. One line at a time. That's fine for simple programs. Not fine for 10,000 users hitting your API at once. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐢𝐭? Multithreading allows multiple tasks to run simultaneously inside one JVM process. Each thread has its own stack and execution path but shares the same memory. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐢𝐭? → Handling multiple API requests simultaneously → Running background jobs without blocking users → Processing large datasets in parallel → Keeping systems responsive under load 𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬? The JVM schedules threads on available CPU cores. When one thread waits - for a DB call, an API response, a file read - another thread steps in and uses that CPU time. Nothing sits idle. Everything moves forward. 𝐓𝐡𝐞 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧: Every high performance Java system - Spring Boot, Kafka consumers, REST APIs - runs on threads underneath. #Java #Multithreading #Concurrency #BackendDevelopment #JVM