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.
