Event-Driven

Explore the new C# 8 asynchronous streams feature in this first article in our series covering the new features available in C# 8.

Finish developing your example jBPM health management event-driven business process implementation in Part 3 of this series.

Continue developing your example jBPM health management event-driven business process implementation in Part 2 of this series.

Follow along with this series to define a health management event-driven business process and then implement it in jBPM (an open source business automation suite).

We look at the OVN unidling issue and how the Controller_Event table can be used to forward events to a CMS, such as OpenStack Platform or OpenShift.

Learn how to make the AMQ Broker architecting process, the resulting deployment topologies, and the expected effort more predictable for common use cases.

This article describes how you can use case management for dynamic workflow processing to create a completely event-sourced system.

Events are classified into three major types. These event types allow software architects to choose adequate event-driven architecture component implementations that best suit each event type nature.

What is an event in event-driven architecture? This primer explains.

We explore Red Hat AMQ Streams components such as Kafka Connect, Kafka Bridge, and Mirror Maker.

We explore Red Hat AMQ Streams basics and its components and show to create a basic Red Hat AMQ cluster on Red Hat OpenShift.

A DevNation Live session - Event-driven business automation powered by cloud native Java

This two-part article series describes the steps required to get started building your own Kafka Streams application using Red Hat AMQ Streams.

This two-part article series aims to describe the steps required to get started building your own Kafka Streams application using Red Hat AMQ Streams.

Knative is changing the world of microservices and serverless functions; here's what you need to know to take advantage of this cutting-edge technology.

Learn to install Knative and its components and take an in-depth look into the building blocks of Knative—such as serving, building and eventing ecosystems. Demystify the deployment model that allows you to deploy your cloud-native services on Kubernetes and easily turn serve them as serverless services.

How to generate or process CloudEvents using Vert.x. CloudEvents describe event data in a common, standardized way based on a spec from CNCF

In this guide we will use Red Hat Container Development Kit, based in the minishift project, to start an Apache Kafka cluster on Kubernetes.

With the new Apache Kafka Kubernetes operator. Red Hat AMQ Streams delivers the mechanisms for managing Apache Kafka on top of OpenShift, our enterprise distribution for Kubernetes.

This post is the first in a series that describes a lightweight cloud-native distributed microservices framework called EventFlow that targets the Kubernetes/OpenShift platforms and models event-processing applications as a connected flow or stream of components. EventFlow can be used to develop event-processing applications that can process CloudEvents, which are an effort to standardise upon a data format for exchanging information regarding events generated by cloud platforms.

Managing distributed transactions across multiple microservices is challenging. Two solutions, two-phase commits and the Saga pattern are explored and compared.

Learn how to process and aggregate huge streams of IoT data using Strimzi and Apache Kafka on Red Hat OpenShift. The data stream is processed using the Red Hat AMQ distributed streaming platform to perform aggregations in real time as data is ingested into the application.

See how the Kafka-CDI library can handle difficult setup tasks and make creating Kafka-powered event-driven applications for MicroProfile and Jakarta EE very easy.