Kafka

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

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.

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.

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.

Get started wif Kafka Connect, a tool for building reliable and scalable data pipelines.

This Deep Dive helps you to get started with the open source change data capture platform Debezium.

DevNation Day LATAM

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.

This article demonstrates how to configure a Kafka Connect image to use Debezium SMT with Groovy to route events between topics.