Operators

We show you how to implement logic that only occurs if and when your Operator is running on a specific Kubernetes platform.

We provide a step-by-step visual tutorial describing how to create a simple virtual database using Red Hat Integration's data virtualization Operator.

We take a look at user flow improvements for deploying applications in Red Hat OpenShift 4.3's Developer perspective.

We explore the developer improvements added to OpenShift 4.3, which improves upon the features that were introduced in 4.2 and introduces new flows and features for the developer.

In this article, we'll look at a more advanced service binding topic—custom environment variables—and walk through a typical usage scenario. 

We introduce the Service Binding Operator, which lets application developers easily bind applications to operator-managed backing services.

Red Hat OpenShift provides an elegant and scalable method to make changes to cluster nodes via its Node Tuning Operator.

We show how to write a simple Kubernetes Operator in Java using the Fabric8 Kubernetes Client. 

We'll show how to get started with Golang Operators and the Operator SDK in this article.

Get an overview of Red Hat OpenShift's Application Monitoring Operator components and see an example of the Operator in action.

Do you want to catch up on the latest developments in the Drools community for the 7.x series? In this session, we'll look at changes to both the workbench and the core engine—what's available now and what's in the roadmap. The 7.x workbench has had a big usability revamp with improved advanced editors and automated deployments to the execution server. We'll look at a 'low code' example to see the authoring, deployment, and usage of decision service. This example will integrate the new forms and application directory functionality. The workbench is now highly customizable and we'll demonstrate how to add new custom editors and the mash up capability of the workbench to easily add new pages and components for your domain. The 7.x engine delivers a new hybrid reasoning capability to make it much easier to work reactively with nested objects, providing a new XPath inspired notation for list comprehension, making things much more natural for Java developers. And it now has a pluggable layer for different knowledge types, and we'll discuss and demonstrate how to integrate another subsystem such as a Bayesian Network. We'll also demonstrate the new capabilities for default and exception rules and cover pojo-rules that make use of Java 8 lambda for rules in pure Java.