Quarkus

Develop AI-integrated Java applications more efficiently using Quarkus. This article covers implementing chatbots, real-time interaction, and RAG functionality.

Pick a topic below that interests you, then go through one of the self-paced tutorials!

With the growth in the use of containers, the need to bundle your application

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications.

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications.

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications.

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications.

Pick a topic below that interests you, then go through one of the self-paced tutorials!

Try a hands-on workshop in the Developer Sandbox to learn about Quarkus (a Java-based framework) and its ecosystem.

Discover what's new for developers in Red Hat OpenShift 4.18, including new

Read a sample excerpt from Quarkus in Action, a practical guide to building resilient and scalable, cloud-native Java applications using the Quarkus framework.

The Konveyor community has developed "Konveyor AI" (Kai), a tool that uses Generative AI to accelerate application modernization. Kai integrates large language models with static code analysis to facilitate code modifications within a developer's IDE, helping transition to technologies like Quarkus efficiently. This video provides a short introduction and demo showcasing the migration of the Java EE "coolstore" application to Quarkus using Konveyor AI.

Red Hat build of Apache Camel 4.8 brings enhancements in contract-first API development, optimized OpenShift-based workflows, and improved developer tooling.

Explore the possibilities of upgrading the Red Hat build of Apache Camel on

Explore the evolution and future of Quarkus, Red Hat’s next-generation Java framework designed to optimize applications for cloud-native environments.

We will demo AI from laptop to production using Quarkus and LangChain4j with ChatGPT, Dall-E, Podman Desktop AI.

Find out what new features and capabilities have been provided in Red Hat

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications. Explore all Java content.

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications. Explore all Java content.

Kubernetes-native Java with low memory footprint and fast boot times for microservices and serverless applications. Explore all Java content.

Kubernetes-native Java with low memory footprint and fast boot times for

Red Hat® OpenShift® is a trusted, comprehensive, and consistent platform to develop, modernize, and deploy applications at scale, including today’s AI-enabled apps. Innovate faster with a complete set of services for bringing apps to market on your choice of infrastructure.

The latest releases of Quarkus Tools for IntelliJ 2.0.2 and Quarkus Tools for Visual Studio Code 1.18.1 deliver significant enhancements to support Quarkus and Qute, making development smoother across both IDEs.

This blog post summarizes an experiment to extract structured data from