Event-driven

If you're a Python developer who relies on the Eventlet library, it's time to think about migrating your projects to Asyncio. This article helps you get started.

Red Hat® OpenShift® is a trusted, comprehensive, and consistent platform to develop, modernize, and deploy applications at scale, including today’s AI-enabled apps. Innovate faster with a complete set of services for bringing apps to market on your choice of infrastructure.

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

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...

Expand your API Management strategy beyond RESTful APIs into event-driven...

Download Streams for Apache Kafka, a scalable data streaming platform based on Kafka and Strimzi. Get binary downloads now.

Learn how to build an end-to-end reactive stream processing application using Apache Kafka as an event streaming platform, Quarkus for your backend, and a frontend written in Angular.

A lightweight, high-performance, robust, event streaming platform.

A lightweight, high-performance, robust, event streaming platform.

In this interactive workshop, we'll explore the exciting world of edge anomaly detection powered by OpenShift. You'll learn how to leverage robust tools like Prometheus, Kafka, and Camel K Ship to gain real-time visibility and control over your edge applications.

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.

Node.js and JavaScript have always been a great fit for Internet of Things (IoT) applications due to their asynchronous nature and easy integration with C/C++ through add-ons. They are also heavily used in cloud and web-based applications running on existing IT infrastructure.

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

Explore how to set up effective application monitoring using Event-Driven Ansible automation and Alertmanager on Red Hat OpenShift.

This article explores custom metrics autoscaler's key components and configurations, highlighting its effectiveness and focusing on Kafka workloads.

Discover how event-driven architecture can transform data into valuable business intelligence with intelligent applications using AI/ML.

Learn how to create a self-healing server using Ansible's event-driven architecture and integrate it with Alertmanager for efficient monitoring and alerting.

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

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

Learn how to set up event-driven microservices using Knative Eventing and CloudEvents to simplify EDA-style application development.

This article discusses configuration best practices and recommendations for the Knative Broker implementation for Apache Kafka, which is now GA.

Explore hands-on tutorials for developers who want to learn about application and API connectivity, data transformation, real-time messaging, and data streaming.

This article discusses the improvements and new features in Ansible Automation

Learn about the advantages and types of Kamelets configuration files which simplify connections to external systems.