Kafka

This edition of the Kafka Monthly Digest covers the new Apache Kafka 3.9.1

This edition of the Kafka Monthly Digest covers progress on the 4.1.0 and 3.9.1

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

Explore this year's most popular articles on Kafka data storage and migration, API management, software security, identity and access management, and more.

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.

bootc's logically bound images feature allows a container image to be "bound" to a bootc image. Use bound images to deploy a basic Kafka cluster in this example.

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

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...

Demonstrate how ArgoCD with Red Hat ACM can manage different clusters and...

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

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.