microservices

Reactive programming is a great way to work with microservices that pass asynchronous data to each other. See it in action with Coderland's latest ride.

This video shows you how to deploy and run the Reactica roller coaster.

A brief introduction to reactive programming and the Reactica roller coaster, the latest attraction at Coderland.

This video is a short introduction to reactive programming and the Eclipse Vert.x toolkit.

This video is a short overview of the Reactica architecture and the middleware that supports it.

To help you understand cloud-native application environment architecture, we break it down into component layers. In this article, we look at the application software development layer.

Get details on the latest Quarkus release, with 125+ changes including new features, bug fixes, and documentation updates. 

Learn how to deploy the EventFlow management platform on Red Hat OpenShift, install a set of sample processors, and build a flow.

Managing data can be a challenge in distributed systems; here we look at some microservice design considerations for implementing data as a service.

This article discusses core distributed tracing concepts centered around reactive applications using Eclipse Vert.x and Jaeger.

After three years of working on VS Code, we celebrate 3.8-million installations and more than 20-million downloads—two indicators that we are providing valuable VS Code extensions accepted by fellow developers.

In this part of our series on Kubernetes, we'll look at how to get multiple containers running in order to put together an entire system.

Learn how to get your Kubernetes environment up and running on MacOS and spin up an image in a container with this tutorial.

Check out all the instructor-led labs in the "Integration and APIs" track coming up at Red Hat Summit, May 7-9, in Boston.

Get a basic understanding of containers and images, so you can start using them successfully in a production environment.

Knative is changing the world of microservices and serverless functions; here's what you need to know to take advantage of this cutting-edge technology.

Updating Drools, the world's most popular open source rule engine, to make it part of the cloud and serverless revolution.

The service mesh (Istio) is here to save the day; however, you might wonder how does fits with your current enterprise integration and API management initiatives. This article provides answers.

Part 2 of 3: Use Red Hat Integration to implement a real business transaction with Salesforce. To do this, it shows how to create an event-driven integration solution with no code.

Kubernetes may be the new application server for some, but not all Java apps. This article discusses the choices: traditional app servers, "just enough app server" choices like Thorntail, and Kubernetes.

Part 6 of Eric Schabell's integration series covers the storage elements of a generic architectural blueprint for the omnichannel customer experience use case.

This article demonstrates the API-first development approach. To do this, it shows how to set up a Node.js microservice based on TypeScript by first generating an OpenAPI Specification file and then focusing only on developing the business logic. All the validations of the API are managed by oas-tools, which saves development time.

This article, which is Part 5 of the series, covers core elements of a generic architectural blueprint (container platform and microservices) for the omnichannel customer experience use case.

Learn how to instrument and monitor Node.js applications on OpenShift with Prometheus. Increase observability of your microservice deployments.

This article, which is Part 4 of the series, covers details pertaining to API management and reverse proxies of a generic architectural blueprint for the omnichannel customer experience use case.