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Stay on top of your #Java game with our curated list of standout articles from 2023! 💪 Knowledge is power! #StayAhead ➡️ Billions of Messages Per Minute Over TCP/IP: https://bit.ly/3JURoXE Chronicle Wire offers a rapid serialization that can exchange information more than 10x faster than common serialization techniques. Article by George Ball ➡️ Exploring Java Records beyond Data Transfer Objects: https://bit.ly/3XfIWIt Learn how to use Records to create bulletproof APIs with immutable classes and apply them with Domain-Driven Design principles. Article by Otavio Santana ➡️ A Comprehensive Guide to Java's New Feature: Pattern Matching for Switch: https://bit.ly/443rfOS Explore Java's latest feature, Pattern Matching for Switch. Understand its enhancements, including support for any reference type, new case labels, guarded patterns, and more! ➡️ Unleash the Power of Open Source Java Profilers: Comparing VisualVM, JMC, and async-profiler: https://bit.ly/3mDM0Af This article conveys the foundational concepts and different types of Open Source Java profilers, to choose the best-suited profiler for your needs and comprehend how these tools work in principle. Article by Johannes Bechberger ➡️ How to Manage Full-Stack Java Development with Hilla: https://bit.ly/3X1f3eR This article explores Hilla, an open-source framework boosting web app development efficiency with a Spring Boot Java backend, TypeScript frontend, and secure automatic API generation. Article by Simon Martinelli #InfoQ #ICYMInfoQ

https://lnkd.in/dbSmjJWp << ...location4j is a simple Java library designed for efficient and accurate geographical data lookups for countries, states, and cities. Unlike other libraries, it operates without relying on third-party APIs, making it both cost-effective and fast. Its built-in dataset provides quick lookups and no need for external HTTP calls... >> #java

🚀 Java Full Stack Tip: Enhance User Experience with Reactive Programming in Spring WebFlux for Asynchronous Data Processing ⚡🔄 Elevate the responsiveness of your Java Full Stack applications by leveraging reactive programming with Spring WebFlux. By adopting reactive principles and handling data asynchronously, you can create highly responsive and efficient web applications capable of managing high loads and concurrent user interactions. #JavaFullStack #ReactiveProgramming #SpringWebFlux #AsynchronousProcessing #UserExperience #JavaDevelopment Here's an example scenario showcasing reactive programming in Spring WebFlux: 1. Implement a reactive endpoint to fetch user data asynchronously: ```java @RestController public class UserController { @Autowired private UserService userService; @GetMapping("/users") public Flux<User> getAllUsers() { return userService.getAllUsers().delayElements(Duration.ofMillis(100)); // Simulated delay for demonstration } } ``` 2. Configure a WebFlux router function for reactive routing: ```java @Configuration public class WebConfig { @Bean public RouterFunction<ServerResponse> userRoutes(UserHandler userHandler) { return RouterFunctions.route(GET("/users"), userHandler::getAllUsers); } } ``` 3. Utilize reactive streams and operators to process data asynchronously and optimize user experience. Improve user experience in your Java Full Stack projects by implementing reactive programming with Spring WebFlux for seamless asynchronous data processing. Share your feedback post-implementation or tag a colleague interested in enhancing application responsiveness. Don't forget to follow #LORSIVTechnologies for more Java Full stack tips and insights!

"My experience aligns well with what the experts have to say. The code has been difficult to read and has a steep learning curve to write. Handling transactions is a good example of something that gets much worse because you can’t easily put database calls that need to be in the same transaction in the same scope. I’ve seen blocking libraries turned into non-blocking ones, leading to bugs in production because it’s just a difficult task." Making buggy code that requires a new paradigm & new libraries run really fast is... not compelling. If it isn't even any faster... 😬 The crazy part is that the JVM team has been talking about how virtual threads would wipe out the reactive performance gains for *years* now. https://lnkd.in/gqK2h2_Z #java

🚀 Java Full Stack Tip: Improve Front-End Performance with GraphQL APIs in Spring Boot for Efficient Data Fetching 🚀🔍 Enhance the responsiveness of your Java Full Stack applications by integrating GraphQL APIs in Spring Boot for optimized data fetching. With GraphQL, you can tailor your data queries to retrieve precisely the required information, reducing over-fetching and under-fetching scenarios, and improving front-end performance. #JavaFullStack #GraphQL #SpringBoot #FrontEndPerformance #DataFetching #JavaDevelopment Here's an example scenario demonstrating GraphQL integration in a Spring Boot application: 1. Implement a GraphQL query resolver for fetching user data: ```java @Component public class UserQuery implements GraphQLQueryResolver { @Autowired private UserService userService; public User getUserById(Long userId) { return userService.getUserById(userId); } public List<User> getAllUsers() { return userService.getAllUsers(); } } ``` 2. Define GraphQL schema for user-related queries: ```graphql type Query { getUserById(userId: Long): User getAllUsers: [User] } type User { id: ID username: String email: String ... } ``` 3. Utilize GraphQL queries from the front end to request specific data and optimize data transfer. Boost the front-end performance of your Java Full Stack projects by integrating GraphQL APIs in Spring Boot for tailored data fetching and improved application efficiency. Share your feedback post-implementation or tag a colleague interested in optimizing front-end data retrieval. Don't forget to follow #LORSIVTechnologies for more Java Full stack tips and insights!

https://lnkd.in/g_weMq_9 #spring #springcore #springframework Can you define a prototype bean inside a Singleton bean ? Every time you refer to the bean name you will get a new instance of the prototype bean. Even if your singleton bean is declared once , the application context will have different instance of the prototype bean as many times the singleton is loaded in to memory. So even of the prototype is scoped in Singleton, Application context still will have multiple instances of Prototype bean. Please refer to this article for more explaination. When we are referring to a singleton class in java application, there is only one instance of that class is available however with Spring Singleton does not mean that that context has only one instance of that type, It can have multiple instance of that type with different names.

🚀 Java Full Stack Tip: Enhance User Experience with Reactive Programming in Spring WebFlux for Asynchronous Data Processing ⚡🔄 Elevate the responsiveness of your Java Full Stack applications by leveraging reactive programming with Spring WebFlux. By adopting reactive principles and handling data asynchronously, you can create highly responsive and efficient web applications capable of managing high loads and concurrent user interactions. #JavaFullStack #ReactiveProgramming #SpringWebFlux #AsynchronousProcessing #UserExperience #JavaDevelopment Here's an example scenario showcasing reactive programming in Spring WebFlux: 1. Implement a reactive endpoint to fetch user data asynchronously: ```java @RestController public class UserController { @Autowired private UserService userService; @GetMapping("/users") public Flux<User> getAllUsers() { return userService.getAllUsers().delayElements(Duration.ofMillis(100)); // Simulated delay for demonstration } } ``` 2. Configure a WebFlux router function for reactive routing: ```java @Configuration public class WebConfig { @Bean public RouterFunction<ServerResponse> userRoutes(UserHandler userHandler) { return RouterFunctions.route(GET("/users"), userHandler::getAllUsers); } } ``` 3. Utilize reactive streams and operators to process data asynchronously and optimize user experience. Improve user experience in your Java Full Stack projects by implementing reactive programming with Spring WebFlux for seamless asynchronous data processing. Share your feedback post-implementation or tag a colleague interested in enhancing application responsiveness. Don't forget to follow #LORSIVTechnologies for more Java Full stack tips and insights!

Web searches and AI chats can suggest needlessly complex code for common I/O operations in #Java. There are often better alternatives: https://lnkd.in/ez5iPAr4

🔍 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐉𝐚𝐯𝐚 One specific downside of Java is the default cold start performance of the application. And this is even more accentuated in serverless architectures. 𝐖𝐢𝐭𝐡 𝐭𝐡𝐢𝐬 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞, 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐠𝐞𝐭 𝐡𝐢𝐠𝐡 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. In this context, taking a long time for the application to start is a serious downside. ✔️𝐐𝐮𝐚𝐫𝐤𝐮𝐬 solves, to a degree, the issues that the classical Spring applications have with startup performances and resource allocation. It is optimized for native compilation and containerized environments. Java can be tricky for serverless functionalities(at least compared to younger programming languages). Nevertheless, if leveraged correctly, it can guarantee extremely good results. 👉 Check this article for more details regarding the usage of Java in serverless architectures. https://lnkd.in/dCJUZ-Yj #java #spring #quarkus #serverless #softwarearchitecture #softwareengineering #freelance

Write a http 1.1 web server to server text content from scratch in java. #java #techblog #javaprojects #softwareengineering #engineering #software