
Solution Pattern: Recommendation Engine using Event Streaming
An event streaming platform using Red Hat Streams for Apache Kafka based on...
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.
Download Streams for Apache Kafka, a scalable data streaming platform based on Kafka and Strimzi. Get binary downloads now.
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.
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.
Podman Desktop is a lightweight and efficient tool for managing containers and
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.
Learn how to implement scaling with Apache Kafka consumers on Kubernetes in this demo.
Learn how to maintain consistent, reliable data flows in Kafka messaging environments using pause-resume methods and asynchronous implementation in Spring Boot.
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.
Learn about the architecture, use cases, and components of Kafka MirrorMaker 2.0, a tool that replicates data between Kafka clusters.
Discover how event-driven architecture can transform data into valuable business intelligence with intelligent applications using AI/ML.
Learn how to easily deploy an Apache Kafka cluster based on Red Hat AMQ streams using the Ansible collection for Red Hat AMQ streams.
AKHQ is a community GUI for managing Apache Kafka clusters. Learn how to install and connect this tool in an AMQ streams cluster on Red Hat OpenShift 4.