Stream processing

Deploy a fully functional streams for Apache Kafka cluster in an automated fashion using Ansible.

This solution demonstrates an implementation to build a platform that synthesizes conversations across multiple different communication channels and services.

An event streaming platform using Red Hat Streams for Apache Kafka based on...

Open source is at the heart of everything Red Hat works on. Learn how Red Hat engineers contribute to data streaming projects such as Apache Kafka and Strimzi.

Learn how to build an end-to-end reactive stream processing application using Apache Kafka as an event streaming platform, Quarkus for your backend, and a frontend written in Angular.

A lightweight, high-performance, robust, event streaming platform.

Get tips on managing and preserving Kafka Connect offsets smoothly starting from AMQ Streams 2.6 (Kafka 3.6).

Discover the importance of encryption of data at rest in Apache Kafka and examine one approach to encrypting data at rest using the Kroxylicious Kafka proxy.

Join Red Hat Developer for the software and tutorials to develop cloud applications using Kubernetes, microservices, serverless and Linux.

Learn about Red Hat AMQ Streams functionality that helps address the challenge of integrating HTTP-based clients with an Apache Kafka cluster.

This article introduces tiered storage, a new feature from Apache Kafka 3.6.0, and demonstrates how to use it with Amazon S3.

Choose which version of a software package is enabled on a system from an...

Stream processing lets developers view, analyze, and combine data from a wide

This article explains how to make use of Red Hat Integration to create a complete CDC pipeline.

Red Hat AMQ Online 1.1 is here, and it brings IoT as a tech preview. This article provides a brief overview of the new possibilities.