#Java8

Take a deeper look at the difference between a Zip and a Gzip stream with @JosePaumard.

Registration for #JavaOne 2027 is live! 🎉 This is your opportunity to attend THE Java event of the year. Buy your ticket today to secure the best price and get the opportunity to attend expert-led sessions, mingle with peers in the Java community, and dive into your love of all things Java. See you there!

Explore the details of a Sequenced Map with @JosePaumard in this Java Coding Tip.

90% of Java developers will miss the bug in this code, Can you debug it without running it?

Top 12 Java 8 Stream Examples for Beginners Explore 12 Java 8 Stream Examples suitable for beginners. Enhance your skills and learn through practical examples. #Java8 #Coding

As a Java developer, Please learn: 1. Core Java Mastery - OOP principles (SOLID, DRY, KISS) - Generics, Lambda expressions, Functional interfaces - Java Streams API (map/reduce, collectors) - Java Collections framework - Java Reflection API - Exception handling 2. Multithreading & Concurrency - Thread synchronization, Executors, Locks - Fork/Join framework - Understanding of race conditions, deadlocks, and thread pools - Concurrency utilities (java.util.concurrent) 3. Design Patterns & Architecture - Common design patterns (Singleton, Factory, Builder) - Architectural patterns (MVC, - Microservices, Event-Driven Architecture) - Dependency Injection (DI), Inversion of Control (IoC) 4. Java Memory Management - Garbage Collection (G1, CMS, ZGC) - JVM heap and stack management - Profiling tools (JProfiler, VisualVM) - Analyzing memory leaks, thread dumps, and heap dumps 5. Classloaders and Reflection - Custom class loaders - Dynamic class loading - Reflection for runtime behavior manipulation 6. Spring Framework & Spring Boot - Spring Core (Dependency Injection, AOP) - Spring Boot (Auto-configuration, Microservices support) - Spring Security (OAuth2, JWT) - Spring Data (JPA, Hibernate integration) - Spring Cloud (Netflix OSS, Circuit Breakers) 7. Microservices Architecture - Service discovery (Eureka, Consul) - Load balancing, distributed tracing, and circuit breaking - API Gateway (Zuul, NGINX) - Asynchronous communication with Kafka, RabbitMQ 8. RESTful Web Services - REST principles, building APIs - JSON/XML handling - API versioning, OpenAPI/Swagger documentation 9. Java I/O and NIO - Blocking vs non-blocking I/O (NIO) - Asynchronous I/O, channels, selectors - File handling, serialization and deserialization 10. Reactive Programming - Project Reactor, RxJava - Event-driven architecture, backpressure - Reactive streams, non-blocking IO 11. JPA/Hibernate - ORM principles, entity relationships - Lazy vs eager loading - Caching strategies, query optimization 12. Database Optimization - SQL optimization, indexing, and transactions - NoSQL databases (MongoDB, Cassandra) - ACID principles, CAP theorem 13. Distributed Systems - Consistency, availability, partitioning (CAP) - Event sourcing, CQRS (Command Query Responsibility Segregation) - Distributed caching (Redis, Hazelcast) - Tools: Apache ZooKeeper, Consul, etcd 14. Testing & TDD/BDD - Unit testing (JUnit, Mockito) - Integration and functional testing - Behavior-driven development (Cucumber) 15. CI/CD & DevOps - Continuous integration (Jenkins, CircleCI) - Containerization with Docker - Orchestration with Kubernetes - Source control (Git), versioning, branching strategies 16. Performance Tuning & Optimization - JVM tuning, garbage collection optimization - Caching strategies, load balancing -Tools for profiling and monitoring (Prometheus, Grafana) 17. Security - Authentication/authorization (OAuth2, JWT) - Secure coding (OWASP guidelines) - Encryption (TLS/SSL), CSRF/XSS prevention 18. Cloud Platforms & API Gateways - AWS, Azure, GCP deployment -API Gateway (Zuul, NGINX) for rate-limiting and routing - Cloud-native microservices tools 19. Logging & Monitoring - Centralized logging (ELK Stack, Graylog) - Distributed tracing (Jaeger, Zipkin) - Application Performance Monitoring (APM) 20. Caching Mechanisms - In-memory caching (Ehcache, Caffeine) - Distributed caching (Redis, Memcached) - Cache invalidation strategies (LRU, LFU) 21. Build Tools - Maven and Gradle for dependency management - Multi-module project handling - Continuous delivery pipelines 22. Message Queuing Systems - Kafka, RabbitMQ for event-driven microservices - Pub/Sub models, distributed message brokers

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In this blog, you are going to take a closer look at the Java 8 Streams API. You will mainly do so by means of examples. #java

The best tech stack for web development (in 2026): 1. Programming Languages: > Python > JavaScript > Go > Java > Rust 2. Frameworks: > FastAPI > NodeJS > Spring Boot > Django >ASP NET 3. Databases: > PostgreSQL > MySQL > MongoDB > Redis > DynamoDB 4. Cloud & Deployment: > AWS > Docker > Kubernetes > GCP > Azure 5. CI/CD & Version Control: > GitHub > GitHub Actions > GitLab > Jenkins > CircleCI Remember, you don’t need the whole stack. Pick one tool from each layer & build. Anything else you'd add? === 1. RT to help others start with web development. 2. If you want to get good at backend engineering, @systemdesignone will help you get there.

Java — One Language, Multiple Careers Java is much more than a language for enterprise applications. Java + Spring Boot → Backend Engineer Java + Kafka → Streaming Systems Engineer Java + Android → Mobile Developer Java + Hibernate → Database Engineer Java + Kubernetes → Cloud Engineer Java + Apache Spark → Big Data Engineer Java + Elasticsearch → Search Engineer Java + Microservices → Distributed Systems Engineer Java + Selenium → Automation Engineer Java + Flink → Data Streaming Engineer Java + gRPC → API Engineer Java + JVM Internals → Performance Engineer One language different career paths

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Structured Concurrency is the next major feature from Project Loom. This Devoxx Belgium session explains the motivation and design of structured concurrency, how to use it effectively, and the lessons learned as the feature evolved.

💫 Get advanced JVM intelligence in Cursor and VS Code with the Java and Kotlin by IntelliJ IDEA extension! Whether you write code or delegate to AI, benefit from @IntelliJIDEA’s deep code understanding, smart navigation, analysis, and more – right in your editor. Try it now →

Since Java 9, the JDK has had its own logging facade, the same idea as SLF4J. No external dependency is required to be declared in your build to use it. It's called System.Logger, and almost nobody uses it. It helps most if you write libraries.

Java is a language that arrives late to things. Let me prove it: lambdas, records, virtual threads, generics. Many other languages had them long before. Now you might be thinking: - Elder, are you trashing Java? - Quite the opposite. To me this is one of Java's big advantages. Before I tell you why, think of a company that's an expert at arriving late: Apple. It wasn't the first to launch a tablet, or a smartphone like the iPhone, or an iPod. It always got there later. And what's the advantage of arriving later? You get to avoid the mistakes others made. A great friend of mine says Java has always been a production language. - Yeah, but every language is a production language. - True, every language is made to put things in production. But not every ecosystem has the culture of looking at production before shipping something. In Java that was always priority number zero. The practical consequence? Lambdas, records, virtual threads, generics, and plenty of others went in without bugs in production. You won't find stories of "wow, records blew up in prod because they got the implementation wrong." I've been at this for 27 years and I don't think Java will ever race to ship something before other ecosystems. And to me that's a career lesson too. Do I really need to rush to be the first to do something? I don't know. Looking at a language with over 30 years in the market, still evolving like no other, I think they know what they're doing.

Is object-oriented programming always the best choice for Java? Birgit Kratz explores an alternative built on immutable data, sealed types and pattern matching. Find out when #DataOrientedProgramming makes more sense: #Java #OOP #JDK #PatternMatching

🍃 Harness Engineering for Java and Spring Boot Applications 🤖 This article covers: 👉 Code formatting and verification 👉 Code coverage & analysis using JaCoCo & SonarQube 👉 Architecture verification: ArchUnit and Taikai 👉 Module Boundary verification: Spring Modulith 👉 Runtime Analysis using BootUI #Java #SpringBoot #HarnessEngineering

Repo with the list and examples of the latest Java features (v9-v25) 👉

Oracle Forms to Java in two weeks with an AI agent? 183 form elements, 45 PL/SQL triggers, Vaadin + Spring Boot. What worked, what broke, and why architecture decisions come first:

Which programming language is best to learn as a beginner ?? 1) JAVA 2) Python 3) C++ 4) JavaScript