Quarkus

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.

Get a hands-on introduction to Tilt, a tool that automates the inner-loop

This exercise, created by Ian Lawson, demonstrates how you can go from initial

Learn how to connect your Quarkus application to a fully-managed MongoDB database instance and run it on Kubernetes in this tutorial.

In this learning path, you will use basic Kubernetes skills to understand and

In this session, Eric will show concepts and conventions familiar to Spring developers and demonstrate how those same concepts and conventions can be implemented in Quarkus, all while highlighting similarities and differences between them

Check out the winning projects from the CodeShift hackathon, showcasing the Red Hat OpenShift application development platform and Intel’s AI/ML technologies.

Unlock the power of Quarkus with our comprehensive learning resources. Dive into our collection of hands-on interactive tutorials and learning paths to accelerate your ability to learn Quarkus.

DevNation Tech Talk: Building portable cloud applications with Quarkus, Azure Radius, Skupper, and Backstage

Learn how to use an external database with Quarkus and link an example application to an external Microsoft SQL Server database in this tutorial.

Learn how to create a Java application that uses AI and large-language models (LLMs) by integrating the LangChain4j library and Red Hat build of Quarkus.

Discover how to integrate cutting-edge OpenShift AI capabilities into your Java applications using the OpenShift AI integration with Quarkus.

This talk introduces the basic principles of optimization and pitfalls to avoid. We’ll dive into why the exact same techniques that make Quarkus rocket-fast were considered a terrible idea fifteen years ago; why fast benchmarks make for slow programs; why Project Loom may not be the speedup you’re hoping for; and why—even though it can be easy to get wrong—optimization really, really matters.

Discover how application class data sharing (AppCDS) can help reduce startup time of your OpenJDK apps.

Learn how to create a Quarkus application that uses Micrometer to expose metrics

Hybrid cloud architecture combines a mixture of public cloud, private cloud, or

Explore the basics of using MongoDB and Quarkus to write cloud-native Java applications and extensions that simplify deploying containerized apps on Kubernetes.