Quarkus

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.

Download Quarkus in Action, a practical guide to building resilient and scalable, cloud-native, enterprise Java applications using the Quarkus framework.

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

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

What artificial intelligence (AI) can do nowadays is simply mind-blowing. I must admit that I cannot stop being surprised, sometimes literally jumping from my seat thinking, "I didn't imagine that AI could also do this!"

The Quarkus community project announced plans to join the Commhaus Foundation

This article aims to show the features and complete utilization of Java Flight Recording (JFR) via Cryostat Operator (Cryostat) for Red Hat OpenShift Container Platform (RHOCP) 4.x. Use cases are explained.

An event streaming platform using Red Hat Streams for Apache Kafka based on...

Discover how an API First Approach provides the right framework to build APIs...

Event-driven Sentiment Analysis using Kafka, Knative and AI/ML

Learn how to build an end-to-end reactive stream processing application using Apache Kafka as an event streaming platform, Quarkus for your backend, and a frontend written in Angular.

Learn how to build applications with Paketo buildpacks and Red Hat Universal Base Images (UBI) using the new Paketo UBI Builder Image.

Podman AI Lab provides a containerized environment for exploring, testing, and integrating open source AI models locally using Podman Desktop.

This article describes the BuildConfig process for Quarkus applications in Red Hat OpenShift Container Platform 4.

This blog post explores the integration of Large Language Models (LLMs) with

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Explore how to integrate SOAP and REST services using Quarkus and Apache Camel.

The Red Hat build of Quarkus 3.8 release includes features that improve developer productivity, framework performance, standards, and support.

Learn about Konveyor AI, an open souce tool that uses generative AI to shorten the time and cost of application modernization at scale.