Red Hat Integration

Runtimes, frameworks, and services to build applications natively on OpenShift

Cloud-native development that connects systems

Red Hat Integration overview


API management

Full life cycle API management is the basis of an effective API strategy. API Lifecycle Management manages all steps in the life of an API, from creation to retirement.


Serverless integration

Scale your workload to zero with small code snippets for resource optimization. Orchestrate real-time cloud events. Enhance developer productivity with auto-detect dependencies and lifecycles.


Event-driven architecture

Event-Driven Architecture (EDA) is a way of designing applications and services to respond to real-time information based on the sending and receiving of event notifications.


Data integration

Prepare your data set for microservices or AI/ML consumption. Establish secure data gateways for authorized access. Federate current data stores or add change data capture capabilities to generate cloud events.

High-speed, secure messaging with Red Hat AMQ

Red Hat AMQ is a multi-protocol messaging platform that speaks a variety of programming languages and allows developers to exchange data with high throughput and low latency.

Setting up integration environments


Learn the basics of Camel K

15 minutes | Beginner
Understand how to use this lightweight framework for writing integrations.

Exposing Apache Kafka through the HTTP Bridge

15 minutes | Intermediate
Communicate between applications and clusters with the Red Hat AMQ Streams Kafka Bridge, an API for integrating HTTP-based clients with a Kafka cluster–then use the AMQ Streams Operator to deploy the Kafka Bridge into an OpenShift cluster.

Change data capture with Debezium

20 minutes | Intermediate
Monitor your change data capture (CDC) events with Debezium, a set of distributed services that identifies row-level changes in your databases so you can respond.

Send events to Apache Kafka with Reactive Messaging

25 minutes | Beginner
Create a Quarkus application that uses the MicroProfile Reactive Messaging extension to send events to Apache Kafka. Build real-time streaming data pipelines and streaming applications that transform or react to the streams of data.

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Integration opinions

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Automate your AMQ streams platform with Ansible

Learn how to easily deploy an Apache Kafka cluster based on Red Hat AMQ streams using the Ansible collection for Red Hat AMQ streams.

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Automate message queue deployment on JBoss EAP

This tutorial shows how to automate message queue management and deployment using the Ansible collection for Red Hat JBoss Enterprise Application

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Streamlining API management with the power of GitOps

Discover how GitOps revolutionizes API management by centralizing configuration, automating deployments, fortifying security, and enhancing

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What's new in Ansible Automation Platform 2.4

Explore what's new in Red Hat Ansible Automation Platform 2.4, which integrates event-driven automation, validated content, and new generative AI