Streams for Apache Kafka

This edition of the Kafka Monthly Digest covers the 4.0.0 release, and progress

This digest covers progress on Kafka 4.0.0. The first release candidate is out

This digest covers progress on Kafka 4.0.0. It also covers KIPs recently created

This Apache Kafka community digest covers the new release, 3.7.2, and progress

This edition of the Kafka Monthly Digest covers the 3.9.0 release, progress on

This article explores use cases for the dynamic quorum configuration in Kafka that allows KRaft clusters to scale controller nodes without downtime.

A set of opinionated practices to design, develop, integrate, automate, and deliver cloud-native applications.

This edition of the Kafka Monthly Digest covers the 3.8.1 release, progress on

This edition of the Kafka Monthly Digest covers the releases in progress, 3.9.0

This edition of the Kafka Monthly Digest covers the progress on the 3.9.0

This edition of the Kafka Monthly Digest covers the 3.8.0 release, and the

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

An intelligent, distributed caching solution that boosts application performance

Ansible Collection for Red Hat Runtimes products comes in two different flavors: one upstream, one downstream. This article explores what this means exactly.

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

This edition of the Kafka Monthly Digest covers the 3.7.1 release, and the

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

Extend capabilities with no changes to legacy apps through data integration and...

Event-driven Sentiment Analysis using Kafka, Knative and AI/ML

Expand your API Management strategy beyond RESTful APIs into event-driven...

Create a pluggable architecture allowing to extend the platform with additional...

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.