Quarkus

Learn how Quarkus makes Java development and testing easier by developing a container that runs a database application with RHEL.

An architectural pattern to prevent an error at a single service from cascading

This Quarkus Superheroes demo illustrates how to capture telemetry data between distributed services and view interactions between microservices in a system.

Online events and regional events held around the world with Red Hat's Developer Advocates.

Quinoa: A modern Quarkus UI with no hassles | DevNation Tech Talk

This page helps you get started with Red Hat OpenShift Dev Spaces.

This video shows how to use OpenTelemetry to collect metrics for RESTful, containerized applications. Quarkus simplifies OpenTelemetry integration.

Extra micrometer practices with Quarkus | DevNation Tech Talk

The latest release of the Red Hat build of Quarkus has great features, performance improvements, and new tools. Read on to learn more.

Event-driven autoscaling through KEDA and Knative Integration | DevNation Tech Talk

Learn Quarkus basics by standing up a straightforward application serving a...

Use Spring annotations for Spring Data, Web, and Dependency Injection by...

Ana-Maria Mihalceanu's Red Hat Summit 2022 session will introduce you to ways to manage resources on containerized platforms.

Quarkus Renarde 🦊♥: an old-school Web framework with today's touch | DevNation Tech Talk

Get a look at a complete open source stack for a real-time Java streaming data application on Red Hat OpenShift Streams for Apache Kafka.

Create, test, and deploy Java code to OpenShift in a seamless development

Learn how to configure a Quarkus Java application to authenticate with Red Hat's SSO on Red Hat Openshift or Red Hat Enterprise Linux.

Learn how to build Quarkus applications that use the Apache Cassandra data store with DataStax Astra DB's multi-cloud database-as-a-service.

Download Getting GitOps, a practical guide to modern development with Kubernetes focused on application distribution via CI/CD and GitOps on Red Hat OpenShift.

Rate limiting protects your services from excessive demand. This hands-on activity shows how to implement it in a Java application using Redis.

With Developer Sandbox for Red Hat OpenShift and a quick start, you can get a Java function up and running in 10 minutes.

Build and deploy a sample Java application using Quarkus, then see how to integrate it with Red Hat OpenShift Application Services.

Select the flavor of Apache Camel for integrations that's right for you through this decision tree.

Explore the benefits of the main runtimes currently supported by the Apache Camel project: Apache Karaf (OSGi), Spring Boot, Quarkus, and Camel K.