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.
Lesson
Develop with Thorntail on OpenShift
25 minutes | Intermediate
Use a sample Thorntail application and modify it to address microservice concerns, understand its structure, deploy it to OpenShift, and more.
Lesson
Develop with Node.js on OpenShift
25 minutes | Intermediate
Take an existing sample Node.js application and modify it to address microservice concerns, deploy it to OpenShift, and exercise interfaces between Node.js, microservices, and Kubernetes.
Lesson
Automate app deployment using OpenShift pipelines
30 minutes | Beginner
Learn how to use OpenShift Pipelines to automate the deployment of your applications by installing the OpenShift Pipelines operator and additional steps.
More integration resources
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Integration opinions
Article
Distributed transaction patterns for microservices compared
Compare distributed transaction patterns for coordinating dual writes in a microservices architecture, then get tips for choosing the right pattern.
Article
Improve cross-team collaboration with Camel K
Use Camel K with KameletBindings to integrate Kafka streams messaging and Kubernetes for automated cross-team interactions via Google docs and email.
Article
Create event-based serverless functions with Python
Develop a Python-based serverless function that sends an email in response to a CloudEvent, and learn how to run your serverless function in a container.
Article
Building reactive systems with Node.js
Find out why reactive systems are especially easy to implement with Node.js, then walk through a reactive system built with Node.js and Apache Kafka.