Streams for Apache Kafka

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.

Get access to Red Hat's software downloads for application developers.

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.

Flexible integration products to connect your applications across hybrid

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.

This Kafka Monthly Digest covers the releases in progress, the new KIPs

Explore Apache Kafka's tiered storage feature, which helps scale compute and storage resources independently and provides better client isolation.

Learn about the deployment and configuration of Apache Kafka MirrorMaker 2 used in a Kafka migration context.

This article explores custom metrics autoscaler's key components and configurations, highlighting its effectiveness and focusing on Kafka workloads.

Get an introduction to Kafka Connect's key features and use cases in this excerpt from Kafka Connect: Build and Run Data Pipelines.