RESTEasy Reactive and more in Quarkus 2.0

Quarkus 2.0 includes continuous testing, the new Dev UI, and RESTEasy Reactive. Read about these new features and plans for the Red Hat build of Quarkus.

Node.js serverless functions on Red Hat OpenShift, Part 1: Logging

Take a deep dive into Node.js serverless functions! In Part 1, learn how logging works and how to customize a Node.js function application’s log levels.”

How to expose a WebSocket endpoint using Red Hat 3scale API Management

This quick tip shows you how to use Red Hat 3scale API Management to configure a WebSocket server and expose the server endpoint on API Gateway.

Making Java programs cloud-ready, Part 3: Integrate MicroProfile services

Prepare your Jakarta EE application for being used in a distributed architecture by introducing MicroProfile health checks, metrics, tracing, and more.

Implementing Apache ActiveMQ-style broker meshes with Apache Artemis

Configure a broker mesh using Red Hat AMQ 7, based on Apache Artemis, with message distribution similar to Apache ActiveMQ, then learn about subtle factors that can lead to lost messages in an Artemis active-active mesh.

Applying machine learning to GitOps

Find out how you can apply machine learning in each phase of the GitOps life cycle to improve building, testing, deploying, monitoring, and security scanning.

Integrate Red Hat Data Grid and Red Hat JBoss Enterprise Application Platform on Red Hat OpenShift

A quick guide to configuring Red Hat Data Grid as an external cache container for HTTP sessions in Red Hat JBoss Enterprise Application Platform on Red Hat OpenShift.

Making Java programs cloud-ready, Part 2: Upgrade the legacy Java application to Jakarta EE

Transition your legacy Java EE 8 application to Jakarta EE, which sets the stage for deploying the application in a cloud-ready microservices architecture.

Making Java programs cloud-ready, Part 1: An incremental approach using Jakarta EE and MicroProfile

Use Jakarta EE and MicroProfile to integrate a legacy Java application with other applications in a microservices architecture on Red Hat OpenShift.

Use source-level annotations to help GCC detect buffer overflows

Explore three source-level annotations that you can use to help detect out-of-bounds accesses across function call boundaries in GCC 11.