Data integration

Microsoft has added full support for cgroup v2, which is a big step forward for memory management on Red Hat Enterprise Linux.

Dive into the Q2’25 edition of Camel integration quarterly digest, covering the

Discover why Kafka is the foundation behind modular, scalable, and controllable AI automation.

Discover an alternative way to create an encrypted RHEL image for deploying a confidential VM on the Azure cloud platform.

Red Hat build of Apache Camel 4.10 brings enhanced integration components, unified observability, expanded cloud and messaging support, and more.

Learn how integration powers AI with Apache Camel at Devoxx UK 2025. Explore

Dive into the Q1’25 edition of Camel integration quarterly digest, covering the

Dive into the fourth edition of Camel integration quarterly digest, covering the

Red Hat build of Apache Camel 4.8 brings enhancements in contract-first API development, optimized OpenShift-based workflows, and improved developer tooling.

Welcome to the Q3 edition of Red Hat’s quarterly newsletter all about Apache

This tutorial gives you a unique chance to learn, hands-on, some of the basics of large language models (LLMs) in the Developer Sandbox for Red Hat OpenShift.

In today's fast-paced IT landscape, the need for efficient and effective

Learn how to deploy and use the Multi-Cloud Object Gateway (MCG) from Red Hat OpenShift Data Foundation to support development and testing of applications and Artificial Intelligence (AI) models which require S3 object storage.

Dive into the second edition of Camel integration quarterly digest, covering the

Learn how to deploy SQL Server on Linux using an Ansible playbook.

This solution demonstrates an implementation to build a platform that synthesizes conversations across multiple different communication channels and services.

An event streaming platform using Red Hat Streams for Apache Kafka based on...

Extend capabilities with no changes to legacy apps through data integration and...

Event-driven Sentiment Analysis using Kafka, Knative and AI/ML

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.

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.

Explore an approach to load testing against Red Hat 3scale API Management using Hyperfoil and Ansible on Red Hat OpenShift.

Dive into the inaugural edition of Camel integration quarterly, covering the

Without data, software has no value. Data needs to be created, stored, updated