JDConf 2025: Announcing Keynote Speaker and Exciting Sessions on Java, Cloud, and AI
Microsoft JDConf 2025 is rapidly approaching and promises to be the must-attend event for Java developers, particularly those interested in the latest advancements in Java, Cloud and AI. This year, the conference will feature over 22 sessions and more than 10 hours of live streaming content for global audience, along with additional on-demand sessions available from April 9 to 10. The spotlight this year is on integrating AI into your development workflow with tools like Copilot, showcasing how these advancements are revolutionizing the coding landscape. Whether you are exploring application modernization, leveraging AI for intelligent apps, or optimizing Java deployments, JDConf has sessions for every interest. Code the future with AI Explore AI-driven Java innovation: Uncover the role of AI in enhancing Java application development on the cloud for greater efficiency and innovation. Livestream for all time zones: Live sessions scheduled to accommodate attendees from around the globe, ensuring no one misses out. Learn from Java experts and innovators: Discover the impact of diversity and open-source innovation in advancing the Java ecosystem. Global networking opportunity: Connect with Java professionals and community leaders worldwide to share knowledge and foster community growth. Free & accessible content: Enjoy all sessions without cost, available live and on-demand for ultimate flexibility. Earn rewards: Join the JDConf experience and earn Microsoft Rewards points. 🌟 RSVP now at JDConf.com !! ⭐ This year’s list of sessions Figure 1: Your quick guide to JDConf 2025: cheat sheet for the keynote and breakout sessions happening across three regions. Do not miss out on planning your perfect conference experience! Technical keynote: Code the future with Java & AI Amanda Silver, Microsoft | Josh Long, Broadcom | Lize Raes, Naboo.ai Join Amanda Silver, CVP and head of product, Microsoft Developer Division, as she takes the stage for the JDConf Opening Keynote, exploring how Java developers can harness the power of AI, cloud, and cutting-edge tools to accelerate development. From Visual Studio Code and GitHub Copilot to Cloud services, Amanda will showcase how Cloud and AI are transforming the developer experience, enabling teams to go from code to production faster than ever. She’ll also dive into the latest advancements in Java technologies, Microsoft's deep investments in the Java ecosystem, and the company's ongoing commitment to open-source innovation. Don't miss this opportunity to discover how Microsoft is empowering Java developers in the AI era! Session summaries by region Americas live stream - April 9, 8:30am – 12:30pm PDT Spring Boot: Bootiful Spring Boot: A DOGumentary by Josh Long will dive into Spring Boot 3.x and Java 21, exploring AI, modularity, and powerful optimizations like virtual threads, GraalVM, and AppCDS. AI Dev Experience: Boosting AI Developer Experience with Quarkus, LangChain4j, and Azure OpenAI by Daniel Oh will demonstrate how this trio streamlines development and powers intelligent apps. Spring AI: How to Build Agents with Spring AI by Adib Saikali will showcase building intelligent AI agents, covering key patterns like self-editing memory, task orchestration, & collaborative multi-agent systems. Jakarta EE 12: What Comes After Jakarta EE 11? Reza Rahman and Emily Jiang will share roadmap, contribution pathways, and key updates, including Security, Concurrency, Messaging, and new APIs. Deployment: Production Best Practices: Go from Dev to Delivered and Stay There by Mark Heckler will take Java apps from development to production with a focus on CI/CD, containerization, infrastructure as code, and cloud deployment. Cloud-native: Java Cloud-Native Shoot-Out: InstantOn vs CRaC vs Native Image by Yee-Kang Chang and Rich Hagarty will compare three emerging Java technologies; Liberty InstantOn, OpenJDK CRaC, and Native Image to determine which best supports fast start-up times and low resource usage in your cloud-native apps. AI-Driven Testing: Test Smarter, Not Harder: AI-Driven Test Development by Loiane Groner will demo how AI-powered tools like GitHub Copilot enhance TDD through automated test generation and improved test coverage, even for legacy code. Asia-Pacific live stream – April 10, 10:00am-1:30pm SGT LLMs integration: Building LLM Apps in Java with LangChain4j and Jakarta EE by Bazlur Rahman and Syed M Shaaf will demonstrates how to integrate large language models (LLMs) into Java apps, including techniques like retrieval-augmented generation (RAG) and embedding databases. Java Modernization: Modernize Java Apps Using GitHub Copilot Upgrade Assistant for Java by Nick Zhu will show how this tool can help modernize Java apps by automating refactoring, managing dependencies, and resolving version conflicts. Automated Refactoring: The State of AI in Large Scale Automated Refactoring by Jonathan Schneider will show how OpenRewrite’s Lossless Semantic Tree enhances AI-driven refactoring for accurate decision-making. Java Modernization: Cloud Migration of Java Applications Using Various Tools and Techniqueby Yoshio Terada will demo modernizing legacy apps with tools like VS Code, GitHub Copilot, and Azure Migrate. Java & AI: AI for Java Developers by Dan Vega will introduce AI for Java developers, covering machine learning, deep learning, and practical AI implementations such as chatbots, recommendation systems, and sentiment analysis. Hyperscale PaaS: Spring, Quarkus, Tomcat, JBoss EAP - Hyperscale PaaS for Any Java App by Haixia Cheng and Edward Burns will demo how to deploy any Java appson Azure App Service. Buildpacks: Paketo Buildpacks: The Best Way to Build Java Container Images? by Anthony Dahanne and David O'Sullivan will explore the benefits of buildpacks for Java containerization, comparing them with traditional Dockerfile-based approaches. Europe, Middle East and Africa - April 10, 9:00am – 12:30pm GMT Java 25: Explore The Hidden Gems of Java 25 with Mohamed Taman as he uncovers key Java SE features, updates, and fixes that will simplify migration to new Java and enhance your daily development workflow. GitHub Copilot: Use GitHub Copilot in your favorite Java IDEs by Julia Kordick and Brian Benz will show how to maximize productivity with GitHub Copilot’s latest features in IntelliJ, VS Code, and Eclipse. LangChain4j: AI-Powered Development: Hands-On Techniques for Immediate Impact by Lize Raes will explore AI tools like Cursor, Devin, and GitHub Workspace to help developers accelerate workflows and embrace AI-driven coding practices. Data and AI: Powering Spring AI with RAG and NoSQL by Theo van Kraay will demo how integrating Cosmos DB as vector store with Spring AI enables scalable, intelligent and high performing apps. Spring Security: Passkeys, One-Time Tokens: Passwordless Spring Security by Daniel Garnier-Moiroux dives into latest passwordless authentication methods in Spring Security with real-world implementation demos. Virtual Threads: Virtual Threads in Action with Jakarta EE Core Profile by Daniel Kec explores Helidon 4, the first Jakarta EE Core Profile runtime built on a pure Virtual Thread-based web server. Web apps: Simplifying Web App Development with HTMX and Hypermedia by Frederik Hahne shows how HTMX and modern template engines simplify Java web development by reducing reliance on complex single-page apps. Register and attend to earn rewards 🚀 Join the JDConf Experience and Earn Microsoft Rewards! 🚀 The first 300 attendees to check-in live for one of the JDConf - America, Europe or Asia - will receive 5,000 Microsoft Rewards points. How to Participate: Attendance Rewards: For your check-in to be counted you will need to do one of the following on the day of the event: Go to the JDConf Event details page on the Reactor website, Sign in with your Microsoft account (top right corner) and then check-in on the right-hand side, or Click the Join live stream link in the confirmation or reminder e-mail you receive to the Microsoft account e-mail address you registered with, or Click the link in the calendar reminder email, you will see the option to add the event to your calendar in your Microsoft account confirmation email. Points Distribution: Microsoft Rewards points will be added to the participants' Microsoft accounts within 60 days following the event. To earn points, you must use an email that is associated with a Microsoft account. You will receive an e-mail from the Microsoft Reactor team if you are eligible and earn the Microsoft Rewards. Points can be used towards many different rewards, check out Microsoft rewards to see what rewards are available in your region. Terms | Privacy RSVP now - engage, learn, and code the future with AI! Do not miss out – RSVP now and be part of the future of Java at JDConf 2025! We are calling all Java enthusiasts and developers around the globe to join us for a two-day event on April 9 and 10. This is more than just a conference. It is a chance to engage with the community, learn from the experts, and help drive Java technology forward. Get ready to dive into deep Java insights, connect with fellow developers, and discover the latest innovations that are shaping the world of Java. Let us gather to celebrate our passion for Java, share knowledge, and explore new possibilities together. Make sure you are there to push the boundaries of what Java can do. RSVP now at JDConf.com and let's make JDConf 2025 a milestone event for Java and its community. See you there! ⭐ RSVP now at JDConf.com 🌟Meet First Round of Speakers for Microsoft JDConf 2025: Code the future with Java and AI
We are excited to share the initial lineup of speakers and sessions for Microsoft JDConf 2025, taking place on April 9-10. Whether you are an experienced developer or just starting out, JDConf offers valuable opportunities to explore the latest advancements in Java, Cloud and AI technologies, gain practical insights, and connect with Java experts from across the globe. Secure your spot now at jdconf.com. Here are the initial sessions and speakers who will provide valuable insights into Java, Cloud, and AI. Java 25. Explore The Hidden Gems of Java 25 with Mohamed Taman as he uncovers key Java SE features, updates, and fixes that will simplify migration to new Java and enhance your daily development workflow. Virtual Threads. Virtual Threads in Action with Jakarta EE Core Profile by Daniel Kec will explore Helidon 4, the first Jakarta EE Core Profile runtime built on a pure Virtual Thread-based web server. Spring Boot. Bootiful Spring Boot: A DOGumentary by Josh Long will dive into Spring Boot 3.x and Java 21, exploring AI, modularity, and powerful optimizations like virtual threads, GraalVM, and AppCDS. Jakarta EE 12. What Comes After Jakarta EE 11? Reza Rahman and Emily Jiang will share roadmap, contribution pathways, and key updates, including Security, Concurrency, Messaging, and new APIs. GitHub Copilot. Use GitHub Copilot in your favorite Java IDEs by Julia Kordick and Brian Benz will show how to maximize productivity with GitHub Copilot’s latest features in IntelliJ, VS Code, and Eclipse. AI Dev Experience. Boosting AI Developer Experience with Quarkus, LangChain4j, and Azure OpenAI by Daniel Oh will demonstrate how this trio streamlines development and powers intelligent applications. Spring AI. How to Build Agents with Spring AI by Adib Saikali will showcase building intelligent AI agents, covering key patterns like self-editing memory, task orchestration, & collaborative multi-agent systems. LangChain4j. AI-Powered Development: Hands-On Techniques for Immediate Impact by Lize Raes will explore AI tools like Cursor, Devin, and GitHub Workspace to help developers accelerate workflows and embrace AI-driven coding practices. Data and AI. Powering Spring AI with RAG and NoSQL by Theo van Kraay will demo how integrating Cosmos DB as vector store with Spring AI enables scalable, intelligent and high performing applications. Automated Refactoring. The State of AI in Large Scale Automated Refactoring by Jonathan Schneider will show how OpenRewrite’s Lossless Semantic Tree enhances AI-driven refactoring for accurate decision-making. Java Modernization. Cloud Migration of Java Applications Using Various Tools and Technique by Yoshio Terada will demo modernizing legacy apps with tools like VS Code, GitHub Copilot, and Azure Migrate. AI-Driven Testing. Test Smarter, Not Harder: AI-Driven Test Development by Loiane Groner will demo how AI-powered tools like GitHub Copilot enhance TDD through automated test generation and improved test coverage, even for legacy code. RSVP Now Join us at Microsoft JDConf 2025 and code the future with Java, Cloud and AI. RSVP today at jdconf.com to secure your spot. Your registration grants access to live streams, on-demand sessions, and a collection of valuable resources. Stay tuned for updates on more engaging sessions and inspiring speakers. Connect with a community shaping tomorrow’s technology and gain practical insights from industry leaders. Follow the conversation using #JDConf, and visit jdconf.com for the latest agenda and schedule. Secure your spot now at jdconf.com!Open Standard Enterprise Java and our Secure Future Initiative
Microsoft Azure is the best place for enterprise Java workloads. Whether you are using plain Java SE, Spring Boot and its many sub-projects, or a Jakarta EE and MicroProfile runtime, our portfolio of Java support has first class, framework-native, compute offerings and detailed guidance to give you confidence in your choice of Azure for your mission critical Java workloads. This blog post covers the Jakarta EE and MicroProfile part of our Java on Azure portfolio, and specifically how our Secure Future Initiative (SFI) is supported by Jakarta EE and MicroProfile on Azure. What is Jakarta EE and MicroProfile on Azure? Our product offering for Jakarta EE and MicroProfile on Azure is partner driven and Azure native. We recognize that our partners are the experts in the Java frameworks that power many Fortune 500 companies [boss magazine 2024-10-25]. Microsoft has partnered with Oracle, IBM, and Red Hat to build a portfolio based on two pillars: 1. Azure portal deployment experiences and 2. step-by-step guidance. These Azure portal deployment experiences are Azure-native and are maintained and supported by each partner. The step-by-step guidance shows users exactly how to implement advanced use-cases using the partner’s Jakarta EE and MicroProfile products. Direct links to the portal experiences and guidance are included later in this blog post. The landing page for Jakarta EE and MicroProfile on Azure is at https://aka.ms/java/ee . What is the Secure Future Initiative (SFI) and how does it relate to Jakarta EE and MicroProfile on Azure? The Secure Future Initiative is our name for Microsoft’s comprehensive, top-to-bottom, vision-backed implementation of security for every aspect for all our products. Microsoft has been doing security at scale for half a century, but in November 2023 we launched SFI to give our users and partners a transparent look at exactly how we are delivering on our promise to be the most secure hyperscale cloud. Everything you need to learn about, and follow along with, the SFI can be found on the SFI landing page. The remainder of this section breaks down a few of the ways SFI is implemented in our Jakarta EE and MicroProfile on Azure portfolio. Jakarta EE and MicroProfile on Azure is not an Azure service. Instead of being a service, users of the portfolio are empowered to run the software in their own tenancy, or even on their own sites with their own hardware, using Azure Local. As such, it’s important to understand how SFI applies to Jakarta EE and MicroProfile on Azure. SFI is explained in terms of principles, foundations and pillars. The principles are 1. Secure by design. 2. Secure by default and 3. Secure operations. This table breaks down how we implement these principles for each of the Azure portal deployment experiences: Oracle WebLogic Server, IBM Web Sphere Application Server and Liberty, and Red Hat JBoss EAP. Partner Secure by design Secure by default Secure operations Oracle WebLogic Server For AKS the offer is tightly integrated with Oracle Container Registry, which contains the most secure and up-to-date Critical Patch Update releases. For virtual machines, Oracle maintains the base images and allows easy registration with MyOracleSupport to get Critical Patch Updates. For AKS, the deployment experience requires providing your Oracle Container Registry credentials. Users can easily choose to pull from pre-approved secure patched WebLogic Server images. For AKS, easy integration with Microsoft Defender for Cloud ensures continually updated threat monitoring. For complete details see, What is Microsoft Defender for Cloud? For Virtual Machines, the Azure Virtual Machine marketplace continually monitors all VM images and notifies vendors of vulnerabilities. Vendors, including Oracle continually update their images based on this guidance. IBM WebSphere Application Server and Liberty For AKS, the offer supports deploying fully secure WebSphere Liberty. For virtual machines, IBM maintains the VM images or a quarterly update schedule. For AKS, the deployment experience makes it easy to use the supported version. For virtual machines, in addition to IBM’s quarterly update process, the deployment action also updates the deployed VM to the latest secure patches from IBM with OWASP and CIS compliance. For AKS, easy integration with Microsoft Defender for Cloud ensures continually updated threat monitoring. For complete details see, What is Microsoft Defender for Cloud? For Virtual Machines, the Azure Virtual Machine marketplace continually monitors all VM images and notifies vendors of vulnerabilities. Vendors, including Oracle continually update their images based on this guidance. Red Hat JBoss EAP For Azure Red Hat OpenShift, security is built into the service as described in Security for Azure Red Hat OpenShift. The portal experience uses the JBoss EAP Operator. The operator is designed to deliver the most secure and supported EAP version to run on OpenShift. For Virtual Machines, Red Hat maintains all the images on a regular update schedule. For more, see Security considerations for Red Hat Enterprise Linux on Azure. For virtual machines, in addition to Red Hat’s process to continually update the base images, the VM is registered with your Red Hat account at deployment time and the latest patches are applied. For Virtual Machines, the Azure Virtual Machine marketplace continually monitors all VM images and notifies vendors of vulnerabilities. Vendors, including Oracle continually update their images based on this guidance. On top of the principles are the foundations: 1. A security first-culture, 2. The ability to integrate with security governance, 3. Continuous security improvement, 4. “Paved paths” that optimize productivity, compliance, and security. The Jakarta EE and MicroProfile on Azure team has ongoing engineering meetings with the developers at each of our partners. These meetings allow us to reinforce our security-first culture from Microsoft, and allow it to build on the existing security cultures at each of our partners. Security governance, as described in SFI, is about aligning security efforts with business priorities and technical implementations. One way this is implemented in our portal experiences is by integration with Azure Policy in the use of Tags. All of our offers support tags, for more on tags, see Manage tag governance with Azure Policy. The first two foundations enable the third. We are constantly revising and improving our portal experiences and guidance with input from the experts in Azure core. The final foundation, “paved paths” is the most visible manifestation of SFI in the Jakarta EE on Azure portfolio. For more on the paved paths and how they relate to Jakarta EE and MicroProfile on Azure, see the next section. Finally, after the principles and foundations, come the six pillars of SFI. These pillars are very clear and detailed goals and actions that Microsoft uses to secure how it runs Azure and its own mission critical business operations. Because the Jakarta EE and MicroProfile on Azure offers are not an Azure first party service, the pillars are not directly applicable. Even so, Microsoft is making the pillars transparent so you can apply them in your own operations, safe in the knowledge that our fifty years of security experience are baked into every one of them. You can read the pillars at Secure Future Initiative pillars. What are the paved paths and how do they apply to Jakarta EE and MicroProfile on Azure? In the context of SFI, paved paths are best practices that optimize productivity, compliance, and security. Because step-by-step guidance is a big part of the Jakarta EE and MicroProfile on Azure portfolio, it makes sense to think of the guidance as paved paths. In fact, we recently audited our entire portfolio for SFI compliance. We focused specifically on usage of the “Resource Owner Password Credential (ROPC)” pattern. Strictly speaking, this pattern comes from the world of OAuth 2.0. We use the term ROPC to include any usage of username and password credentials that could possibly be replaced by a usage of managed identities for Azure resources. Wherever possible, we have replaced the use of ROPC with a more SFI compliant approach that does the same thing. For more details on ROPC, see Microsoft identity platform and OAuth 2.0 Resource Owner Password Credentials. For more details on managed identities for Azure resources, see What are managed identities for Azure resources? The following tables list, for each supported Jakarta EE and MicroProfile on Azure runtime, the portal deployment experiences, corresponding paved paths and some specific notes about SFI compliance. Oracle WebLogic Server on Azure Azure compute offer Deploy it now Paved paths SFI notes AKS https://aka.ms/wlsaks Deploy WebLogic Server on Azure Kubernetes Service using the Azure portal - Azure Kubernetes Service WebLogic Server step-by-step guidance Tutorial: Migrate Oracle WebLogic Server to Azure Kubernetes Service (AKS) with geo-redundancy Use passwordless database connection with managed identities. The username/password approach is still shown in a separate embedded tab. Recommendation to use patched images. Virtual machines https://aka.ms/wls-vm-admin https://aka.ms/wls-vm-cluster https://aka.ms/wls-vm-base-images Quickstart: Deploy WebLogic Server on Azure Virtual Machines (VMs) - Azure Virtual Machines Configure Passwordless Database Connections for Java Apps on Oracle WebLogic Server Use SSH for VM login. IBM WebSphere Application Server (traditional) Azure compute offer Deploy it now Paved paths SFI notes Virtual machines https://aka.ms/twas-cluster-portal https://aka.ms/twas-single-portal https://aka.ms/twas-nd-vm-portal Deploy WebSphere Application Server Cluster on Azure VMs IBM WebSphere and Open Liberty Azure compute offer Deploy it now Paved paths SFI notes AKS https://aka.ms/liberty-aks Deploy a Java application with Open Liberty/WebSphere Liberty on an Azure Kubernetes Service (AKS) cluster - Azure Kubernetes Service Tutorial: Migrate WebSphere Liberty/Open Liberty to Azure Kubernetes Service (AKS) with high availability and disaster recovery Use managed identity for container registry access. Use Service Connector for easy passwordless database connection. Azure Red Hat OpenShift https://aka.ms/liberty-aro WebSphere Liberty and Open Liberty on Azure Red Hat OpenShift Azure Container Apps Not applicable Deploy a Java Application with Open Liberty or WebSphere Liberty on Azure Container Apps Use managed identity for container registry access. Use Service Connector for easy passwordless database connection. Red Hat JBoss EAP Azure compute offer Deploy it now Paved paths SFI notes Azure Red Hat OpenShift https://aka.ms/eap-aro-portal Quickstart: JBoss EAP on Azure Red Hat OpenShift - Azure Red Hat OpenShift Manually Deploy a Java Application with JBoss EAP on an Azure Red Hat OpenShift Cluster Workload identity not yet supported on Azure Red Hat OpenShift. Virtual machines https://aka.ms/eap-vm-vmss-portal https://aka.ms/eap-vm-single-portal https://aka.ms/eap-vm-cluster-portal https://aka.ms/eap-vm-base-images Tutorial: Install JBoss EAP on Azure Virtual Machines (VMs) manually Use passwordless database connection with managed identities. Red Hat Quarkus Azure compute offer Paved paths SFI notes AKS Deploy Quarkus on Azure Kubernetes Service - Azure Kubernetes Service Use passwordless database connection with managed identities. Use Service Connector for easy passwordless database connection. Azure Container Apps Deploy a Java Application with Quarkus on Azure Container Apps Use passwordless database connection with managed identities. Use Service Connector for easy passwordless database connection. Azure Functions Deploy serverless Java apps with Quarkus on Azure Functions Multiple compute offers Quarkus with Microsoft Entra ID Use of OIDC is SFI compliant. Summary Microsoft has partnered with the leading enterprise Java vendors to build Azure-native deployment experiences and guidance for the most popular enterprise Java products. Through SFI, Microsoft is committed to continually update this portfolio to be the most secure way to run Java at scale in the cloud.
Seamlessly Integrating Azure KeyVault with Jarsigner for Enhanced Security
Dive into the world of enhanced security with our step-by-step guide on integrating Azure KeyVault with Jarsigner. Whether you're a beginner or an experienced developer, this guide will walk you through the process of securely signing your Java applications using Azure's robust security features. Learn how to set up, execute, and verify digital signatures with ease, ensuring your applications are protected in an increasingly digital world. Join us to boost your security setup now!Build and Modernize Intelligent Java apps at Scale
Java on Microsoft Azure Java customers and developers are constantly exploring how they can bring their Java applications to the cloud. Some are looking to modernize existing applications, while others are building new cloud-native solutions from scratch. With these changes, they need a platform that lets them keep working the way they know, without sacrificing control or performance. That’s where Microsoft Azure comes in. As a company, Microsoft is committed to making Java developers as efficient and productive as possible, empowering them to use any tool, framework, and application server on any operating system. Microsoft Azure makes it easy to work with the tools and frameworks Java developers already know and love. Whether using IntelliJ, Eclipse, or VS Code, or managing dependencies with Maven or Gradle, developers can keep using their preferred setup. Azure supports trusted Java application servers and popular open-source tools like Spring Boot, JBoss EAP, and WebLogic, making the transition to the cloud seamless and natural. Scaling on Azure is designed with simplicity and security in mind. Developers can count on built-in tools for monitoring, automation, data support, and caching, along with robust security features. With Azure’s flexible services they can scale confidently, manage costs, and build resilient applications that meet business needs. Azure provides everything Java developers need to build and modernize their applications at scale, letting them do so on their own terms. Tooling for Java app migration and modernization priorities Moving your Java applications to the cloud is easier with the right tools. Azure offers a full set of solutions for every type of migration, whether you are rehosting, re-platforming, refactoring, or rearchitecting. These tools work together to help you transition smoothly, allowing you to work faster, more efficiently, and with greater insight. With Azure, you can achieve meaningful results for your business as you modernize your applications. Azure Migrate and Partner-built Solutions Azure Migrate is a key resource in this process. It provides a holistic view of your server and application estate and generates a cloud-readiness report. With app centricity, you can now assess applications at a portfolio level rather than server by server. This makes it easier for IT decision-makers to plan migrations on a larger scale while aligning with business priorities. In addition to Azure Migrate, you can leverage several partner-built solutions such as CAST, Unify, Dr. Migrate, and others to support additional use cases and scenarios. Azure Migrate application and code assessment For developers, Azure Migrate’s app and code assessment tool (AppCAT) offers in-depth code scanning for Java applications. With this tool, you can assess code changes needed to run your apps in the cloud right from within your preferred terminals, like Bash. GitHub Copilot Chat integration further simplifies the planning process, making it easy to explore modernization options through a conversational approach. AppCAT is especially useful for detailed assessments for refactoring and rearchitecting. GitHub Copilot upgrade assistant for Java A major advancement in this toolkit is the new GitHub Copilot upgrade assistant for Java. Upgrading Java code, runtimes, frameworks, and dependencies can be time-consuming, but with the upgrade assistant, you can streamline the process significantly. Start with your local Java project, receive an AI-powered upgrade strategy, and let Copilot handle the bulk of the work. This powerful tool helps you modernize faster, allowing you to focus on building intelligent applications at scale with confidence. Ready to save time upgrading Java? You can apply for the waitlist to the Technical Preview right here – aka.ms/GHCP-for-Java. This early access is open to a limited number of customers, so we encourage you to sign up soon and share your feedback! Deploy and Scale Java Apps on Azure The Java ecosystem is diverse, encompassing technologies like Java SE, Jakarta EE, Spring, and various application servers. Whatever your Java workload – whether building a monolithic app or a cloud-native microservice – Azure provides a comprehensive platform to support it. Azure offers multiple deployment paths to help meet your specific project goals. For those migrating existing Java applications, infrastructure-as-a-service (IaaS) options like Azure Virtual Machines allow you to lift and shift applications without significant re-architecture. Meanwhile, container options, such as Azure Kubernetes Service (AKS), Azure Container Apps and Azure Red Hat OpenShift, make it easier to manage Java applications in containers. Fully managed platform-as-a-service (PaaS) offerings, like Azure App Service, provide out-of-the-box scalability, DevOps integration, and automation for streamlined management. The following diagram shows recommended Azure services for every Java application type deployed as source or binaries: The following diagram shows the recommended Azure services for every Java application type deployed as containers: Building on Azure's reputation as a versatile platform for various applications, we now turn our focus to three specific offerings that demonstrate this flexibility. Today, we highlight JBoss EAP on Azure App Service, Java on Azure Container Apps, and WebSphere Liberty on Azure Kubernetes Service and how to quickly bring your apps to production with Landing Zone Accelerator. We will also walk you through how to build and modernize intelligent Java apps at scale with the latest AI tools and models. JBoss EAP on Azure App Service Azure App Service offers a fully managed platform with specific enhancements for Java, making it an excellent choice for running enterprise Java applications. Recently, several updates have been introduced to bring even greater value to Java developers using JBoss EAP on App Service: Reduced Licensing Costs: Licensing fees for JBoss EAP on App Service have been cut by over 60%, making it more accessible to a wider range of users. Free Tier Availability: A new free tier is available for those interested in testing the service without an upfront cost, providing an easy entry point for trials and evaluation. Affordable Paid Tiers: Lower-cost paid tiers of App Service Plan for JBoss EAP have been introduced, catering to businesses seeking a cost-effective, production-ready environment. Bring Your Own License Support: Soon, customers will be able to apply existing Red Hat volume licenses to further reduce operational costs, adding flexibility for organizations already invested in Red Hat JBoss EAP. These updates provide significant savings, making JBoss EAP on App Service a smart choice for those looking to optimize costs while running Java applications on a reliable, managed platform. Java on Azure Container Apps Azure Container Apps is a popular serverless platform for Java developers who want to deploy and scale containerized applications with minimal management overhead. Designed for microservices, APIs, and event-driven workloads, Azure Container Apps makes it simple to scale applications from zero up to millions of requests, adapting dynamically to meet real-time demand. Azure Container Apps includes several features tailored specifically for Java: Managed Components for Java: With built-in Spring Cloud services like Service Registry and Config Server, managing Java applications is straightforward. These components simplify service registration, discovery, and configuration management. Enhanced Java Monitoring: Azure Monitor provides Java-specific insights, giving developers visibility into their applications and enabling proactive management with detailed metrics. Effortless Scaling: Container Apps can scale down to zero during periods of low demand and scale out as traffic grows, helping optimize costs. The platform also supports GPU-enabled workloads, perfect for AI-powered Java applications. This fully managed platform supports a range of Java frameworks and runtimes, from Spring Boot to Quarkus to Open Liberty and beyond. With built-in DevOps, secure networking, role-based access, and pay-as-you-go pricing, Azure Container Apps offers a powerful and flexible foundation to build, deploy, and monitor any Java application type. WebSphere Liberty on Azure Kubernetes Service IBM's WebSphere is one of the most widely used middleware platforms globally, especially in large enterprises. Many organizations rely on WebSphere Traditional applications, which have strong market penetration in enterprise environments. As IBM focuses on cloud-native solutions, it is encouraging organizations to migrate from WebSphere Traditional to WebSphere Liberty - a more modern, cloud-native Java runtime. With Azure Kubernetes Service, this migration becomes straightforward and manageable, allowing organizations to bring existing WebSphere Traditional apps into a more flexible, scalable environment. Why Azure Kubernetes Service? AKS provides a powerful platform for running containerized Java applications without the complexity of setting up and maintaining Kubernetes yourself. It’s a fully managed Kubernetes service, integrated end-to-end with Azure’s foundational infrastructure, CI/CD, registry, monitoring, and managed services. Because AKS is based on vanilla Kubernetes, all Kubernetes tools work, and there’s no risk of lock-in. AKS offers global availability, enterprise-grade security, automated upgrades, and compliance, making it a reliable choice for organizations aiming to modernize WebSphere applications. Competitive pricing and cost optimization make AKS even more attractive. Why Transform to WebSphere Liberty? WebSphere Liberty, along with Open Liberty, offers compatibility with WebSphere Traditional, creating an easy migration path. Liberty is a lightweight, modular runtime that’s better suited for cloud-native applications. It reduces resource costs, requiring less memory and CPU than WebSphere Traditional and has quicker startup times. Liberty also embraces modern standards, like Jakarta EE Core Profile and MicroProfile, making it ideal for cloud-native applications. Organizations can even re-purpose existing WebSphere Traditional licenses, significantly reducing migration costs. Running WebSphere Liberty on Azure Kubernetes Service is simple and flexible. IBM and Microsoft have certified Liberty on AKS, providing a reliable path for enterprises to move their WebSphere applications to the cloud. With a solution template available in the Azure Marketplace, you can deploy WebSphere Liberty on AKS in a few clicks. This setup works with both new and existing AKS clusters, as well as any container registry, allowing you to deploy quickly and scale as needed. By combining WebSphere Liberty with AKS, you gain the agility of containers and Kubernetes, along with the robust features of a cloud-native runtime on a trusted enterprise platform. Build Right and Fast! Build Your Java or Spring Apps Environment: Development, Test, or Production in Just 15-30 Minutes with Landing Zone Accelerator! To ensure the scalability and quality of your cloud journey, we re-introduce Landing Zone Accelerators, specifically designed for Azure app destinations such as App Service, Azure Container Apps, and Azure Kubernetes Service. An accelerator allows you to establish secure, complaint, and scalable development, test, or production environments within 15-30 minutes. Adhering to Azure's best practices and embedding security by default, a Landing Zone Accelerator ensures that your cloud transition is not only swift but also robust and scalable. It paves the way for both application and platform teams to thrive in the cloud environment. From realizing cost efficiency to streamlining your migration and modernization journey to ensuring the scalability of your cloud operations, our goal is to demonstrate how your cloud transition can drive innovation, and efficiency, and accelerate business value. The Landing Zone Accelerators for App Service, Azure Container Apps, and Azure Kubernetes Service represent an authoritative, proven, and prescriptive infrastructure-as-code solution, designed to assist enterprise customers in establishing a robust environment for deploying Java, Spring, and polyglot apps. It not only expedites the deployment process but also provides a comprehensive design framework, allowing for the clear planning and designing of Azure environments based on established standards. Build Intelligent Java Apps at Scale Today, many enterprise applications are built with Java. As AI grows in popularity and delivers greater business outcomes, Java developers wonder how to integrate it with their apps. Python is popular for AI - particularly for model building, deploying and fine tuning LLMs, and data handling - but moving an app to a new language can be complex and costly. Instead, Java developers can use Azure to combine their Java apps with AI, building intelligent apps without needing to master Python. Azure makes it simple to bring AI into your existing Java applications. Many customers are already using the Azure platform to add intelligence to their Java apps, delivering more value to their businesses. Whether starting fresh or modernizing existing systems, Azure provides the tools needed to build powerful, intelligent applications that scale. Modernize and Build New Intelligent Apps with Azure. Wherever you are in your cloud journey, Azure helps you modernize and build intelligent apps. Azure offers app platform services, data handling at scale, and AI tools that make it easy to create applications that deliver meaningful business value. Intelligent apps can drive growth, amplify team capabilities, and improve productivity. With Azure, you can bring your Java apps into the future and stay ahead of the competition. The Right Tools for Intelligent Java Apps. Building intelligent applications requires a strong foundation. Azure provides essential services like a robust cloud platform, scalable data solutions, and AI tools, including pretrained models and responsible AI practices. These tools ensure your apps are efficient, scalable, and aligned with best practices. Azure offers several key services for this: Azure AI Studio: A one-stop platform for experimenting and deploying AI solutions. It provides tools for model benchmarking, solution testing, and monitoring, making it easy to develop use cases like customer segmentation and predictive maintenance. Azure OpenAI Service: With access to advanced AI models like GPT-4, this service is ideal for content generation, summarization, and semantic search. Build chatbots, create marketing content, or add AI-driven features to your Java apps. Azure Machine Learning: An end-to-end platform for building and deploying machine learning models. It supports various use cases such as recommendation systems, predictive analytics, and anomaly detection. MLOps capabilities ensure your models are continuously improved and managed. Azure AI Search: Uses retrieval-augmented generation (RAG) technology for powerful search capabilities. Enhance user experience with intelligent search options, helping users quickly find relevant information. Azure Cosmos DB: A globally distributed, multi-model database service ideal for high-performance, low-latency applications. It offers turnkey global distribution, automatic scalability, and integration with other Azure services, making it a strong choice for intelligent apps that handle large amounts of data. Azure Database for PostgreSQL with PGVector: This managed PostgreSQL service now includes the PGVector extension, designed for handling vector embeddings in AI applications. It’s a valuable tool for applications requiring fast, similarity-based searches and supports applications involving recommendation engines, semantic search, and personalization. Azure AI Infrastructure: Provides high-performance infrastructure for AI workloads. Whether training large models or performing real-time inference, Azure’s AI infrastructure meets demanding needs. Get Started with AI in Java. If you are a Java app developer, now is a great time to start integrating AI into your apps. Spring developers can use Spring AI for quick integration, and developers using Quarkus or Jakarta EE or any other app type can take advantage of LangChain4j. You can also use Microsoft Azure AI client libraries for Java. No matter what your framework is, Azure has the tools to help you add intelligence to your applications. Meet the Java team at the Microsoft Ignite 2024 Come meet the Java team at Microsoft Ignite 2024! Join our breakout session, "Java on Azure: Modernize and scale enterprise Java applications on Azure" BRK147, for a close look at the newest ways to build, scale, and modernize Java apps on Azure. In this session, our engineers and product experts will share the latest updates and tools for Java developers. You’ll learn about cost-saving options, new cloud tools, and how to add smart features to your apps. This is a session for all Java developers, whether you're moving apps to the cloud or building cloud-native apps from scratch. Everyone can join - either in person at Ignite or virtually from anywhere in the world. The virtual option is free, so you can attend without leaving your desk. Don’t miss the chance to connect with the Java team, ask questions, and get tips to make your Java apps succeed on Azure! Start Today! Join Us at Java + AI Events Worldwide. Sign Up for upcoming Java and AI events like JDConf 2025 and JavaOne 2025. You’ll also find our developer advocates sharing insights and tips at Java conferences and events around the world. Begin framing your app migration plans with resources to guide you through each step. Get started here – aka.ms/Start-Java. Explore the docs and deploy your first Java or Spring app in the cloud. Follow the quick steps here – aka.ms/Java-Hub. Use our tools and information to build a plan and show your leaders the benefits of Java app modernization. Get the details here – azure.com/Java. Start building, planning, and exploring Azure for Java today!Discover How App Modernization on Azure Enables Intelligent App Innovation
Legacy applications, built on outdated technologies, are increasingly becoming a roadblock for businesses in the fast-paced digital world. They struggle to manage growing data volumes and user traffic, posing scalability challenges that can lead to performance bottlenecks and system failures.
Migrating your JBOSS EAP apps to Azure App Service
Learn how to migrate your JBOSS EAP apps to Azure App Service with the Red Hat Migration Toolkit for Applications and the App Service Landing Zone Accelerator for enterprise environment creation. Single app migrations and bulk migrations are simplified with these tips, tricks, and tools.
