Configure Prometheus and Red Hat OpenShift Streams for Apache Kafka to work together, so you can get your cluster metrics all in one place.

Configure MirrorMaker 2 and Red Hat OpenShift Streams for Apache Kafka to synchronize messages between Kafka clusters deployed on Red Hat OpenShift.

We show how Red Hat Decision Manager and Red Hat Process Automation Manager provide support for Prometheus through the new KIE-Server extension.

Analyzing network traffic between pods in an environment like Kubernetes/OpenShift can be challenging. This article shows how to use sidecar containers analyze network traffic between pods.

How to use the KIE-Server Client Java API to interact with the KIE-Server runtime of Red Hat Decision Manager and Red Hat Process Automation Manager

This post described the new Spring Boot Starters provided in Red Hat Process Automation Manager 7.1. Using a minimal amount of code, these Spring Boot Starters enable developers of modern, light-weight applications on Spring Boot to quickly build applications or microservices that have business process and business rules execution capabilities.

The Complex Event Processing engine of Red Hat Decision Manager 7 allows you to implement complex, time-based requirements on streams of data in concise, focused rules. This article shows how this engine can be used to detect, correlate, abstract, aggregate or compose and react to events to infer complex events from simple events, react to events of interest, and take actions.

Red Hat Decision Manager 7 has been recently released. Decision Manager 7 is the successor of Red Hat JBoss BRMS, our business rules and decision management platform. In this post we will have a look at the main new features of the platform and we will provide instructions on how to get started