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.
Learn how Apache Kafka Cruise Control optimizes workload and improves performance.
Learn how to configure and deploy a Kafka Connect container with Strimzi, a tool that simplifies the process of running Apache Kafka in a Kubernetes cluster.
This article discusses configuration best practices and recommendations for the Knative Broker implementation for Apache Kafka, which is now GA.
Explore hands-on tutorials for developers who want to learn about application and API connectivity, data transformation, real-time messaging, and data streaming.
This cheat sheet covers the commands for working with the Red Hat OpenShift Application Services CLI tool rhoas.
Learn more about the differences between ActiveMQ and Kafka in this case-based comparison.
Red Hat services work well with open source tools. See how to use a popular Kafka management console with Red Hat OpenShift Streams for Apache Kafka.
Apache Kafka is an open-source distributed streaming platform used for stream processing, real-time data pipelines, and data integration at scale. SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on their data. This first article in a series of three describes how we can leverage on ksqlDB to process Apache Kafka streams using the industry standard SQL query language.
Learn how to produce and consume messages efficiently using the Knative implementation (which is now available) in Red Hat OpenShift Serverless.
Integration using Apache Camel K makes it possible to build services that are scalable and reliable even when they depend on rapid interaction with data sources.
Kafka Streams is now more accessible than ever, thanks to services offered by AWS and Red Hat OpenShift.
Learn how Kryptonite for Kafka's SMT can help you encrypt and decrypt individual field records in a granular way when building data integration scenarios on top of Kafka Connect.
Here's a recap of some of the articles our developers created for you in September 2022, from 101-level intros to deep dives.
This article introduces end-to-end encryption for data integration scenarios built on top of Apache Kafka using Kafka Connect together with the open-source library Kryptonite for Kafka.
The latest installment in this monthly column covers improvements in Apache Kafka, including the release in progress, 3.3.0, and recent Kafka Improvement Proposals.
Learn how to configure change data capture in this demo using managed OpenShift Connectors to connect services and systems to OpenShift Streams for Apache Kafka.
Find recent articles on observability, containerizing .NET applications, tips for building security into your Node.js development process, and more.
The latest installment in this monthly column covers improvements in Apache Kafka, including the release in progress, 3.3.0, the latest release, 3.2.1, and recent Kafka Improvement Proposals.
How to quickly set up a Java application using Kafka messaging and Red Hat OpenShift Streams for Apache Kafka. This is part 3 in a series.
This issue in a monthly column covers improvements in Apache Kafka, including the release in progress, 3.3.0, and recent Kafka Improvement Proposals.
This issue in a monthly column covers improvements in Apache Kafka, including the last two releases, 3.2.0 and 3.1.1, and recent Kafka Improvement Proposals.
Learn how to develop Kafka producers and consumers in Java using a sample Maven project in this demonstration.