#GraalVM

[don9121dhe]

Unveiling the Future of JVM Technology: Innovations and Directions

Are you curious about the future of Java Virtual Machine (JVM) technology and the exciting innovations it holds? As the backbone of Java-based applications, the JVM continues to evolve, paving the way for groundbreaking advancements in the world of programming. In this article, we'll delve into the future directions and innovations in JVM technology that are poised to shape the landscape of software development.

The Evolution of JVM Technology

Since its inception, the JVM has undergone significant evolution, enabling developers to write platform-independent code and execute it seamlessly across diverse environments. From performance enhancements to advanced garbage collection algorithms, each iteration of the JVM has brought forth new capabilities and optimizations, empowering developers to build robust, scalable, and efficient applications.

Future Directions in JVM Technology

Looking ahead, several key trends and innovations are set to redefine the future of JVM technology:

Project Loom: Project Loom aims to revolutionize concurrency in Java by introducing lightweight, user-mode threads known as fibers. By reducing the overhead associated with traditional threads, fibers promise to improve the scalability and responsiveness of Java applications, particularly in highly concurrent scenarios such as microservices and reactive programming.

GraalVM: GraalVM represents a groundbreaking initiative that offers high-performance, polyglot execution capabilities on the JVM. With support for multiple programming languages, including Java, JavaScript, Python, and Ruby, GraalVM enables developers to seamlessly integrate different language runtimes within a single application, unlocking new possibilities for interoperability and productivity.

Project Panama: Project Panama aims to enhance the interoperability between Java and native code, enabling seamless integration with libraries and frameworks written in languages such as C and C++. By providing efficient access to native data structures and functions, Project Panama facilitates the development of high-performance, low-level components within Java applications, such as multimedia processing and system-level programming.

Ahead-of-Time (AOT) Compilation: AOT compilation is gaining traction as a promising approach to improving startup times and reducing memory footprint in Java applications. By precompiling Java bytecode into native machine code, AOT compilation eliminates the need for just-in-time (JIT) compilation at runtime, resulting in faster startup times and improved overall performance, particularly in resource-constrained environments such as cloud-based deployments.

Embracing the Future of JVM Technology with The Tech Tutor

At The Tech Tutor, we're committed to empowering developers with the knowledge and skills they need to thrive in a rapidly evolving technological landscape. Our comprehensive courses and tutorials cover a wide range of topics, including JVM internals, performance optimization, and the latest advancements in Java ecosystem.

Whether you're a seasoned Java developer looking to stay ahead of the curve or a newcomer eager to explore the exciting world of JVM technology, The Tech Tutor has you covered. Join our community today and embark on a journey of continuous learning and innovation in JVM technology.

Conclusion

As JVM technology continues to evolve, developers can expect to see a myriad of innovations that enhance performance, scalability, and interoperability in Java-based applications. From Project Loom's revolutionization of concurrency to GraalVM's polyglot execution capabilities, the future of JVM technology is brimming with possibilities.

Stay ahead of the curve and embrace the future of JVM technology with The Tech Tutor. Explore our comprehensive courses and tutorials to unlock your full potential as a Java developer and shape the future of software development.

[openbooth]

JVM Performance Comparison for JDK 21 – Ionut Balosin The current article describes a series of Java Virtual Machine (JVM) benchmarks with a primary focus on top-tier Just-In-Time (JIT) compilers, such as C2 JIT, and Graal JIT. The benchmarks are structured in three distinct (artificial) categories:

— https://ift.tt/kKGypSo

[dkplayer]

GraalVM обновлен для Java/JDK 21

Помимо того, что во вторник Oracle выпустила OpenJDK 21 / Java 21, команда разработчиков GraalVM в тот же день выпустила обновление GraalVM с новыми возможностями Java 21 и другими функциями.

https://www.gamebuntu.ru/news/graalvm-obnovlen-dlya-java-jdk-21/

[mp3monsterme]

Java 21 & GraalVM -- lots to be excited about

Today, Java 21 has reached General Availability (GA) with some important new features in the language mainstream (i.e., not requiring preview flags enabled), and Oracle will be supporting Java 21 as a Long long-term support (guaranteed at least 3years of free support (2years to the next LTS + 1 yr overlap) and then for at least an additional 5 years under support subscription). Everyone is…

[govindhtech]

Spring AI 1.0 and Google Cloud to Build Intelligent Apps

Spring AI 1.0

After extensive development, Spring AI 1.0 provides a robust and dependable AI engineering solution for your Java ecosystem. This is calculated to position Java and Spring at the forefront of the AI revolution, not just another library.

Spring Boot is used by so many enterprises that integrating AI into business logic and data has never been easier. Spring AI 1.0 lets developers effortlessly integrate cutting-edge AI models into their apps, bringing up new possibilities. Prepare to implement smart JVM app features!

Spring AI 1.0 is a powerful and comprehensive Java AI engineering solution. Its goal is to lead the AI revolution with Java and Spring. Spring AI 1.0 integrates AI into business logic and data without the integration issues many Spring Boot-using enterprises confront. It lets developers use cutting-edge AI models in their apps, expanding possibilities.

Spring AI supports multiple AI models:

Images produced by text-command image models.

Audio-to-text transcription models.

Vectors are formed by embedding models that transform random data into them for semantic similarity search.

Chat models can edit documents and write poetry, but they are tolerant and easily sidetracked.

The following elements in Spring AI 1.0 enable conversation models overcome their limits and improve:

Use system prompts to set and manage model behaviour.

Memory is added to the model to capture conversational context and memory.

Making tool calling feasible for AI models to access external features.

Including confidential information in the request with rapid filling.

Retrieval Augmented Generation (RAG) uses vector stores to retrieve and use business data to inform the model's solution.

Evaluation to ensure output accuracy employs a different model.

Linking AI apps to other services using the Model Context Protocol (MCP), which works with all programming languages, to develop agentic workflows for complex tasks.

Spring AI integrates seamlessly with Spring Boot and follows Spring developers' convention-over-configuration setup by providing well-known abstractions and startup dependencies via Spring Initialisation. This lets Spring Boot app developers quickly integrate AI models utilising their logic and data.

When using Gemini models in Vertex AI, Google Cloud connectivity is required. A Google Cloud environment must be created by establishing or selecting a project, enabling the Vertex AI API in the console, billing, and the gcloud CLI.

Use gcloud init, config set project, and auth application-default login to configure local development authentication.

The Spring Initialiser must generate GraalVM Native Support, Spring Web, Spring Boot Actuator, Spring Data JDBC, Vertex AI Gemini, Vertex AI Embeddings, PGvector Vector Database, MCP Client, and Docker Compose Support to build a Spring AI and Google Cloud application. The site recommends using the latest Java version, especially GraalVM, which compiles code into native images instead of JRE-based apps to save RAM and speed up startup. Set application properties during configuration.characteristics for application name, database connection options, Vertex AI project ID and location for chat and embedding models (gemini-2.5-pro-preview-05-06), actuator endpoints, Docker Compose administration, and PGvector schema initialisation.

PostgreSQL database with a vector type plugin that stores data with Spring AI's VectorStore abstraction? Database schema and data can be initialised on startup using schema.sql and data.sql files, and Spring Boot's Docker Compose can start the database container automatically. Spring Data JDBC creates database interaction and data access entities.

The ChatClient manages chat model interactions and is a one-stop shop. ChatClients need autoconfigured ChatModels like Google's Gemini. Developers can create several ChatClients with different parameters and conditions using ChatClient.Builder. ChatClients can be used with PromptChatMemoryAdvisor or QuestionAnswerAdvisor to handle chat memory or VectorStore data for RAG.

Spring AI simplifies tool calls by annotating methods and arguments with @Tool and @ToolParam. The model evaluates tool relevance using annotation descriptions and structure. New default tools can be added to ChatClient.

Spring AI also integrates with the Model Context Protocol (MCP), which separates tools into services and makes them available to LLMs in any language.

For Google Cloud production deployments, Spring AI apps work with pgVector-supporting databases like Google Cloud SQL or AlloyDB. AlloyDB is built for AI applications with its high performance, availability (99.99% SLA including maintenance), and scalability.

FAQ

How is spring AI?

The Spring AI application framework simplifies Spring ecosystem AI application development. It allows Java developers to easily integrate AI models and APIs without retraining, inspired by LangChain and LlamaIndex.

Essentials and Ideas:

AI integration:

Spring AI integrates AI models with enterprise data and APIs.

Abstraction and Portability:

Its portable APIs work across vector database and AI model manufacturers.

Spring Boot compatibility:

It integrates with Spring Boot and provides observability tools, starters, and autoconfiguration.

Support the Model:

It supports text-to-image, embedding, chat completion, and other AI models.

Quick Templates:

Template engines let Spring AI manage and produce AI model prompts.

Vector databases:

It uses popular vector database providers to store and retrieve embeddings.

Tools and Function Calling:

Models can call real-time data access functions and tools.

Observability:

It tracks AI activity with observability solutions.

Assessing and Preventing Hallucinations:

Spring AI helps evaluate content and reduce hallucinations.

[codezup]

From Java to Native: A Comprehensive Guide to GraalVM Integration

1. Introduction 1.1 Brief Explanation and Importance GraalVM is a high-performance runtime that allows developers to compile Java bytecode into native machine code, enabling Java applications to run as native executables. This compilation process eliminates the need for the Java Virtual Machine (JVM) at runtime, resulting in smaller binary sizes, faster startup times, and improved performance…

[infernovm]

Oracle releases ML-optimized GraalVM for JDK 24

Oracle has released GraalVM for JDK 24, an alternative Java Development Kit tuned to just-released JDK 24 that uses ML (machine learning)-based profile inference to boost peak performance by about 7.9% on average on microservices benchmarks, the company said. GraalVM for JDK 24 was released on March 18. GraalVM for JDK 24 can be downloaded from graalvm.org. With this latest update, a new…

[himanitech]

What are the emerging trends in JVM language adoption and popularity in 2025 ?

As of February 2025, the adoption and popularity of JVM (Java Virtual Machine) languages are influenced by several emerging trends:

1. Java's Continued Dominance

Java maintains its position as a leading programming language, with approximately 30% of developers using it as their primary language. Its robustness, security, and scalability make it a preferred choice for developing complex, high-performance applications. Java's adaptability to new technological trends, such as cloud computing, Internet of Things (IoT), and big data, ensures its ongoing relevance in the software development industry.

2. Rise of Kotlin

Kotlin, a statically-typed language that runs on the JVM, has seen significant growth, especially in Android development. Its concise syntax and seamless interoperability with Java have contributed to its widespread adoption among developers seeking modern language features. Kotlin's versatility extends beyond mobile development, finding applications in server-side and web development as well.

3. Adoption of Scala

Scala, known for combining object-oriented and functional programming paradigms, continues to be a prominent JVM language. Its strong static type system and compatibility with JVM and JavaScript runtimes make it suitable for building robust, scalable solutions. Scala's adoption is particularly notable in data-intensive applications and systems requiring high scalability.

4. Advancements in GraalVM

Graal VM, a high-performance runtime, is transforming the execution of JVM languages by offering faster startup times, reduced memory usage, and support for multiple languages. Developers are leveraging Graal VM to create polyglot applications that combine languages like Java, Python, JavaScript, and Ruby, addressing complex business requirements with greater efficiency.

5. Emphasis on Cloud-Native Development

The shift towards cloud-native architectures has influenced JVM language development, with a focus on building scalable microservices and serverless applications. Java's evolution, including projects like Project Loom, aims to simplify concurrency and improve performance in cloud environments. These advancements position JVM languages as strong contenders for modern, distributed application development.

These trends highlight the dynamic and evolving landscape of JVM languages, driven by technological advancements and the need for efficient, scalable, and versatile development solutions.

[learning-code-ficusoft]

Understanding the Java Virtual Machine (JVM): Internals and Optimization

Introduction

Briefly introduce the JVM and its role in running Java applications.

Highlight why understanding JVM internals is crucial for developers.

Mention key aspects like performance, memory management, and optimizations.

1. JVM Architecture: An Overview

Explain how JVM acts as an abstraction layer between Java code and the underlying hardware.

Key components:

Class Loader: Loads bytecode into memory.

Runtime Memory Areas: Heap, Stack, Method Area, etc.

Execution Engine: Converts bytecode into native code.

Garbage Collector (GC): Manages memory automatically.

2. JVM Memory Management

Heap vs. Stack Memory: What each is used for.

Method Area & Runtime Constant Pool: Storage for metadata and constants.

Garbage Collection (GC) Mechanisms:

Serial, Parallel, CMS, G1, and ZGC collectors.

When and how GC runs.

Tuning GC for performance (using JVM options like -XX:+UseG1GC).

3. Just-In-Time (JIT) Compilation

How JIT compiles frequently used bytecode into native machine code for performance.

Difference between:

Interpreter Mode (slower execution but quick startup).

JIT Compilation (optimizes hot code paths).

JVM optimizations like:

Method Inlining

Loop Unrolling

Escape Analysis

4. JVM Optimization Techniques

Tuning JVM with Command-line Flags

-Xms and -Xmx for memory allocation.

-XX:+PrintGCDetails for monitoring GC.

Profiling and Monitoring Tools

JVisualVM, JConsole, Java Flight Recorder.

Code-level Optimizations

Reducing object creation to avoid excessive GC.

Using efficient data structures (ArrayList vs. LinkedList).

Avoiding memory leaks (proper use of WeakReferences, ThreadLocal).

5. JVM Performance Best Practices

Selecting the right GC algorithm for different workloads.

Analyzing JVM logs to detect performance bottlenecks.

Using Ahead-of-Time (AOT) Compilation (like GraalVM) for even faster execution.

Conclusion

Summarize key takeaways: JVM architecture, memory management, JIT compilation, and optimizations.

Emphasize the importance of tuning JVM settings for different applications.

WEBSITE: https://www.ficusoft.in/core-java-training-in-chennai/

[holyjak]

GraalWasm is an open-source WebAssembly runtime compatible with the WebAssembly 1.0 specification. It runs WebAssembly programs in binary format and can be used to embed and leverage WebAssembly modules in Java applications. GraalWasm is in active development and implements a number of WebAssembly feature extensions. Feedback, bug reports, and contributions are welcome.

[itsmaheshkariya]

Boost Your Java Apps with GraalVM & Micronaut! | Create Lightning-Fast N...

[upsanddownsindigitalmarketing]

The future of Java

Title: The Future of Java: Evolution in a Changing Technological Landscape

Java, the stalwart of the programming world, has been a cornerstone of software development for over two decades. From its inception in the mid-90s to its current widespread use across industries, Java has consistently adapted to meet the demands of modern computing. As we look ahead, the future of Java appears both promising and evolving, shaped by technological trends and community-driven innovations.

Adaptation to Modern Trends

Java's resilience lies in its ability to adapt to emerging technological trends. As cloud computing continues to dominate the IT landscape, Java remains a preferred choice due to its platform independence and robustness. The introduction of features like Project Loom for lightweight concurrency and Project Panama for improved native integration showcases Java's commitment to staying relevant in a cloud-native world.

Enhanced Performance and Efficiency

With advancements in hardware capabilities and the rise of multi-core processors, Java has focused on enhancing performance and efficiency. Projects such as Valhalla aim to improve Java's memory efficiency and support for value types, while GraalVM offers enhanced performance through just-in-time compilation and polyglot capabilities, allowing Java applications to run faster and more efficiently across different platforms.

Support for Modern Development Practices

Java's future also embraces modern development practices such as microservices architecture and containerization. Frameworks like Spring Boot have simplified the development of microservices in Java, while tools like Docker and Kubernetes provide robust solutions for deploying and managing Java applications at scale. The Java ecosystem continues to expand with frameworks and libraries that cater to diverse development needs, fostering innovation and productivity.

Community-Driven Innovation

At the heart of Java's evolution is its vibrant community. The Java Community Process (JCP) ensures that Java evolves through consensus and collaboration, with contributions from developers, organizations, and academia worldwide. Open-source projects like Jakarta EE (formerly Java EE) and Quarkus exemplify community-driven efforts to modernize Java for enterprise applications, emphasizing agility, scalability, and cloud readiness.

Cross-Platform Compatibility

Java's "write once, run anywhere" mantra remains relevant in an increasingly fragmented technological landscape. The Java Virtual Machine (JVM) continues to provide a stable and consistent runtime environment for Java applications, supporting diverse platforms from mobile devices to servers. Java's compatibility across different operating systems and devices ensures its longevity as a versatile programming language for a wide range of use cases.

Conclusion

In conclusion, the future of Java is shaped by its ability to embrace change while preserving its core strengths. As technology evolves, Java evolves with it, offering enhanced performance, scalability, and developer productivity. From cloud-native solutions to modern development practices, Java continues to empower developers to build robust, scalable applications across various platforms. With a strong community and ongoing innovation, Java remains a cornerstone of the software development landscape, poised to thrive in the years to come.

Whether you're a seasoned Java developer or exploring the language for the first time, the future promises exciting opportunities and advancements in Java programming. As we navigate the ever-changing technological landscape, Java stands as a testament to adaptability, innovation, and enduring relevance in the world of software development.

[hackernewsrobot]

Writing memory safe JIT compilers

https://medium.com/graalvm/writing-truly-memory-safe-jit-compilers-f79ad44558dd

[craigbrownphd]

Java News Roundup: JDK 22, GraalVM for JDK 22, Proposed Schedule for JDK 23, JMC 9.0

#Technology #Tech #Infrastructure #DataArchitecture #DataDriven #DataEngineering https://www.infoq.com/news/2024/03/java-news-roundup-mar18-2024/?utm_campaign=infoq_content&utm_source=dlvr.it&utm_medium=tumblr&utm_term=Architecture%20%26%20Design

[codezup]

Boost Java Performance with GraalVM Optimization Techniques

1. Introduction Optimizing Java Applications with GraalVM for Performance Gains is a crucial technique for developers looking to improve the speed and efficiency of their Java applications. GraalVM is a high-performance runtime that can compile Java bytecode to native machine code, providing significant performance gains. In this tutorial, we will explore the basics of GraalVM, its technical…

[associative07]

Unleashing The Future Of Enterprise Java With Quarkus Development: A Guide By Associative

In recent years, the landscape of enterprise Java development has been rapidly evolving, with businesses seeking more lightweight, efficient, and cloud-native solutions to meet the demands of modern application development. In this dynamic environment, Quarkus has emerged as a revolutionary framework, offering developers a powerful platform for building Java applications that are optimized for containerized environments, cloud-native architectures, and microservices. As a leading software development and consulting company based in Pune, India, Associative specializes in harnessing the full potential of Quarkus development to drive innovation and deliver transformative solutions. In this article, we delve into the intricacies of Quarkus development and explore how Associative leverages this technology to empower businesses and organizations worldwide.

The Rise Of Quarkus Development

Quarkus, developed by Red Hat, is an open-source, Kubernetes-native Java framework designed to accelerate the development of cloud-native and microservices-based applications. Built on top of familiar Java standards and libraries, Quarkus offers developers a lightweight and efficient platform for building scalable, resilient, and high-performance applications. By leveraging GraalVM and other cutting-edge technologies, Quarkus enables developers to create fast-booting, low-memory footprint applications that are optimized for containerized environments and microservices architectures.

Empowering Businesses With Quarkus Development

At Associative, we recognize the transformative potential of Quarkus development and specialize in helping businesses unlock the full power of this innovative framework. From building cloud-native applications to modernizing existing Java applications, our team of experienced developers leverages Quarkus to deliver solutions that are highly performant, scalable, and resilient. Whether you’re looking to embrace microservices architecture, migrate to the cloud, or optimize application performance, Associative has the expertise and capabilities to help you achieve your goals.

Key Features Of Our Quarkus Development Services

Rapid Development: Quarkus streamlines the development process by offering a comprehensive set of extensions, libraries, and tools that simplify common tasks and accelerate development. Leveraging Quarkus, we can rapidly prototype, develop, and deploy applications, allowing businesses to bring their ideas to market faster and stay ahead of the competition.

Efficient Resource Utilization: Quarkus is designed to minimize resource consumption and optimize performance, making it an ideal choice for cloud-native and microservices-based applications. By leveraging Quarkus’ lightweight runtime and native compilation capabilities, we can create applications that consume less memory, start up faster, and scale more efficiently, resulting in cost savings and improved user experience.

Microservices Architecture: Quarkus provides native support for building microservices-based architectures, allowing developers to create modular, loosely coupled services that can be independently deployed, scaled, and managed. Whether you’re building a greenfield microservices application or refactoring an existing monolithic application, Quarkus enables us to design and implement scalable, resilient, and maintainable architectures that meet your business needs.

Cloud-Native Integration: Quarkus is optimized for running in containerized environments such as Kubernetes, making it well-suited for cloud-native deployments. Our team specializes in integrating Quarkus applications with cloud platforms, container orchestration systems, and other cloud-native technologies, enabling businesses to leverage the scalability, flexibility, and agility of the cloud.

Continuous Delivery and DevOps: We follow best practices in continuous delivery and DevOps to ensure that Quarkus applications are delivered quickly, reliably, and with high quality. From automated testing and deployment to monitoring and optimization, we provide end-to-end DevOps services that enable businesses to achieve rapid time-to-market and maintain a competitive edge.

Conclusion

In conclusion, Quarkus development offers a paradigm shift in enterprise Java development, enabling businesses to build lightweight, efficient, and cloud-native applications that are optimized for modern architectures and deployment environments. At Associative, we leverage our expertise in Quarkus development to empower businesses to embrace digital transformation, accelerate innovation, and achieve their strategic objectives. Whether you’re looking to build a new cloud-native application or modernize your existing Java stack, Associative is your trusted partner for Quarkus development excellence.

If you’re ready to unlock the full potential of Quarkus development and take your Java applications to the next level, contact Associative today, and let us help you turn your vision into reality.