
Quarkus


Get hands-on with Red Hat learning 2
Pick a topic below that interests you, then go through one of the self-paced tutorials!

The journey to enable UBI with the Paketo Buildpacks ecosystem
With the growth in the use of containers, the need to bundle your application

Get Hands-On with Red Hat Labs
Pick a topic below that interests you, then go through one of the self-paced tutorials!

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

Red Hat Application Development Products
Cloud native technologies to develop, deploy, and manage responsive and scalable applications anywhere.

Experience the many enhancements in OpenShift 4.18
Discover what's new for developers in Red Hat OpenShift 4.18, including new

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

Generative AI Applied to Application Modernization with Konveyor AI
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.

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

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

Making Camel upgrades as light as a breeze
Explore the possibilities of upgrading the Red Hat build of Apache Camel on

Quarkus has surpassed the 1,000 contributor milestone
Explore the evolution and future of Quarkus, Red Hat’s next-generation Java framework designed to optimize applications for cloud-native environments.

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

What’s new for developers in OpenShift 4.17
Find out what new features and capabilities have been provided in Red Hat

Red Hat build of Quarkus: Kubernetes-native Java
Kubernetes-native Java with low memory footprint and fast boot times for

Enhancing the Quarkus developer experience: New updates for IntelliJ and VS Code tools
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.

AI-driven data extraction using Apache Camel and LangChain4J
This blog post summarizes an experiment to extract structured data from

Machine learning and symbolic AI with Quarkus
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!"

Quarkus announces intention to move to Commonhaus Foundation
The Quarkus community project announced plans to join the Commhaus Foundation

Use of Cryostat and Java Flight Recording in Red Hat OpenShift 4
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.

Solution Pattern: Recommendation Engine using Event Streaming
An event streaming platform using Red Hat Streams for Apache Kafka based on...

Solution Pattern: Manage and Secure APIs with an API First Approach
Discover how an API First Approach provides the right framework to build APIs...

Solution Pattern: Event-driven intelligent applications
Event-driven Sentiment Analysis using Kafka, Knative and AI/ML

Stateful and reactive stream processing applications with Apache Kafka, Quarkus, and Angular on OpenShift
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.