Apache Kafka on Kubernetes

Apache Kafka is an alternative enterprise messaging system that moves massive amounts of data—not just from point A to B, but from points A to Z.

Kafka on Kubernetes feature content

Featured image: event-driven distributed serverless workflow
Jul 02, 2024

Build an extendable multichannel messaging platform

Bruno Meseguer

This solution demonstrates an implementation to build a platform that...

Building resilient event-driven architectures with Apache Kafka
Jun 26, 2024

Open innovation: Red Hat’s impact on the Kafka and Strimzi ecosystem

Simon Woodman

Open source is at the heart of everything Red Hat works on. Learn how Red Hat...

Building resilient event-driven architectures with Apache Kafka
Jun 20, 2024

Stateful and reactive stream processing applications with Apache Kafka, Quarkus,...

Hans-Peter Grahsl

Learn how to build an end-to-end reactive stream processing application using...

Building resilient event-driven architectures with Apache Kafka
Jun 13, 2024

How to manage and preserve Kafka Connect offsets smoothly

Abdellatif Bouchama

Get tips on managing and preserving Kafka Connect offsets smoothly starting...

Deploy Red Hat AMQ Streams and Fuse on OpenShift Container Platform 4

Red Hat AMQ is a message broker for building communications among Java applications. Message-based applications are a key core capability of modern software development, and AMQ provides a solid foundation for building them. 

The Streams module, which is based on the Apache Kafka and Strimzi projects, runs on Linux, macOS and Windows. The module also supports the publish/subscribe messaging method, better for containers. There are also Debezium Change Data Capture connectors that are used to capture row-level database changes and communicate these changes to your apps.

Deploy AMQ Streams now

Debezium Cheat Sheet cover

Debezium on OpenShift Cheat Sheet

Debezium is a distributed open-source platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.

This cheat sheet covers how to deploy/create/run/update a Debezium Connector on OpenShift. 

Download the Debezium Cheat Sheet

Customize your response to real-time information and increase your throughput

Not a developer? Learn more about how Event-driven Architecture (EDA) can help your business move forward.