This learning path is designed for Java developers who are new to Quarkus and want to understand how to build modern applications from the ground up. You will learn to create a project, build REST APIs, persist data, configure environments, test your code, and finally containerize and deploy your application.
Explore the different testing techniques and tools available for Quarkus, including continuous testing, mocking, and more. Learn how to ensure your applications are reliable and stable.
IBM Enterprise Build of Quarkus delivers superior throughput, extremely fast startup times, and a remarkably small resource footprint. These characteristics translate directly into lower infrastructure consumption and reduced operational costs. The result is a high-performance Java stack designed for microservices, serverless workloads, data streaming, and AI-driven applications. It also provides a practical and forward-looking path for modernizing existing enterprise systems.
Streamline your relational data management with Quarkus, Panache, and PostgreSQL. Learn how to simplify database interactions and improve your development efficiency.
Get started with Quarkus, a fast and lightweight Java framework, and learn how to build your first Quarkus app using the Quarkus CLI and its innovative features, such as live reload and continuous testing.
Learn how to build custom REST APIs using Quarkus, a Java framework for cloud-native applications. Follow our step-by-step guide and start building scalable, secure, and efficient APIs.
In this tutorial, you learn how to create a simple RESTful Java AI application that asks a large language model (LLM) to write a short poem based on a topic provided by the user.
The future of enterprise Java and AI is secure with Quarkus and Jakarta EE. Quarkus provides a cloud-native Java stack with build-time optimization and instant startup. It supports AI-powered applications through LangChain4j. IBM invests in both, driving innovation and ensuring stability. Quarkus allows enterprises to innovate safely, designing AI-driven services that can be deployed in production and supported by Jakarta EE components. This ensures a stable and secure future for enterprise Java and AI.
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