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.

The latest installment in this monthly column covers improvements in Apache

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.

The latest installment in this monthly column covers improvements in Apache

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.

The latest installment in this monthly column covers improvements in Apache

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.

RHEL 9, Kafka, AWS, SaaS, and more: Stay current on the latest developer trends with Red Hat Developer's monthly content round-up.

There are many ways to run Kafka for different development, testing, and production needs. This is the first part of a two-part series covering options.

This issue in a monthly column covers improvements in Apache Kafka, including progress of releases and recent Kafka Improvement Proposals.

Use Red Hat's SSO with OpenLDAP to authorize producers and consumers for Kafka in Red Hat AMQ Streams

The choices you make configuring Apache Kafka affect performance. The Kafka optimization theorem helps you find the sweet spot.

Get a look at a complete open source stack for a real-time Java streaming data application on Red Hat OpenShift Streams for Apache Kafka.

Make binding between applications and services easier using the Service Binding Operator.