Red Hat Integration
Runtimes, frameworks, and services to build applications natively on OpenShift
Cloud-native development that connects systems
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
Lesson
Learn the basics of Camel K
15 minutes | Beginner
Understand how to use this lightweight framework for writing integrations.
Lesson
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.
Lesson
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.
Lesson
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.
Integration in your browser
Lesson
Externalize Configurations in Spring Boot microservices
15 minutes | Beginner
Learn about how we use externalized configurations to change specific values/variables without having to take down the entire application.
More integration resources
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Integration opinions
Article
Integrate ISO 20022 payments messaging with CI/CD
Financial companies are migrating to ISO 20022 (MX) payments messaging. Learn how to easily implement MT-to-MX mapping using cloud-native CI/CD tools.
Article
Integrate Apache ActiveMQ brokers using Camel K
Develop a Camel K integration workflow to get your Apache ActiveMQ Classic and Apache ActiveMQ Artemis brokers working together on Red Hat OpenShift.
Article
Kafka Monthly Digest: December 2021
This Apache Kafka community report includes progress on Kafka 3.1.0, Kafka project milestones in 2021, and a look ahead to new features coming in 2022.
Article
Deploying bare-metal clusters from the cloud
The Assisted Installer service installs Red Hat OpenShift on bare-metal hosts, but you can also access it as a cloud service. Both ways have benefits.