Accelerated Development and Management Archives

Modern business logic tooling workshop, lab 1: Installation

By Eric D. Schabell December 19, 2018

Recently I’ve started updating my free online workshops for business rules and process automation that showcase how to get started using modern business logic tooling. These updates start with moving from Red Hat JBoss BRMS to Red Hat Decision Manager and from Red Hat JBoss BPM Suite to Red Hat Process Automation Manager.

This article highlights the first lab update for Red Hat Decision Manager, where you learn to install Decision Manager on your laptop.

Let’s take a look at the lab, shall we?

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Demystifying the Red Hat Decision Manager and Process Automation Manager Remote Client

By Duncan Doyle December 10, 2018

KIE-Server is the light-weight, cloud-native, rules and process execution runtime of the Red Hat Decision Manager (RHDM) and Red Hat Process Automation Manager (RHPAM) platforms. Lately, I’ve gotten more and more questions on how to use the KIE-Server Client Java API to interact with the KIE-Server execution runtime of RHDM (formerly called Red Hat JBoss BRMS) and RHPAM (RHPAM). To answers these questions, and to create a future reference, I decided to write a number of code examples, accompanied by this article.

The KIE-Server Client Java API provides an easy way for Java applications to communicate with the KIE-Server execution engine of RHDM and RHPAM. The API abstracts the application from the underlying REST and/or JMS communication protocol and transport, making integrations with the server easier to build, test, and maintain.

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How to integrate a remote Red Hat AMQ 7 cluster on Red Hat JBoss EAP 7

By Roman Martin Gil December 6, 2018December 5, 2018

It is very common in an integration landscape to have different components connected using a messaging system such as Red Hat AMQ 7 (RHAMQ 7). In this landscape, usually, there are JEE application servers, such as Red Hat JBoss Enterprise Application Platform 7 (JBoss EAP 7), to deploy and run applications connected to the messaging system.

This article describes in detail how to integrate a remote RHAMQ 7 cluster on a JBoss EAP 7 server, and it covers in detail the different configurations and components and some tips to improve your message-driven beans (MDBs) applications.

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Quickly try Red Hat Decision Manager in your Cloud

By Eric D. Schabell November 19, 2018November 18, 2018

It’s been some time since I last talked with you about business logic engines and using them in application development cloud architectures. At that time, I showcased running JBoss BRMS in a container on Red Hat OpenShift. This gives you the cloud experience, one that’s portable across private and public clouds, but on your own local laptop using Red Hat Container Development Kit.

The world continues to move forward, a new product has been released which replaced JBoss BRMS with the Red Hat Decision Manager, so now I want to provide a way for you to install this on OpenShift, in the same easy to use demo format.

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Free Online Java EE Development Course From Red Hat Available Now

By Zachary Gutterman November 16, 2018

The Red Hat Training team is pleased to announce the release of Fundamentals of Java EE Development. This free training is hosted by our partner edX. edX is an open online course provider that now hosts three Red Hat courses, including Fundamentals of Red Hat Enterprise Linux and Fundamentals of Containers, Kubernetes, and Red Hat OpenShift.

Enterprise Java (Java EE is now known as Jakarta EE) is one of the most in-demand and marketable programming platforms. With Fundamentals of Java EE Development, students learn the foundational skills needed to develop modern applications. Serving as an introduction to enterprise Java development using Red Hat Developer Studio and Red Hat JBoss Enterprise Application Platform, this course builds on students’ Java SE skills to teach the basic concepts behind more advanced topics such as microservices and cloud-native applications.

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Modernize your application deployment with Lift and Shift

By Doug Tidwell October 18, 2018

For many software modernization projects, it’s all about learning to love, lift, and shift. No, wait. It’s all about learning to love lift and shift. The basic idea behind lift and shift is to modernize how an existing application is packaged and deployed. Because it’s not about rewriting the application itself, lift and shift is typically quick to implement.

Modern development environments rely on containers for packaging and deployment. A modern environment also uses a continuous integration / continuous deployment (CI/CD) system that automatically builds, tests, and deploys an application whenever its source code changes.

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Integrating third-party identity providers with Red Hat 3scale API Management

By Luca Ferrari October 9, 2018October 8, 2018

This post describes how to configure OpenID Connect (OIDC) authentication using an external Identity Provider (IdP). With the new release of Red Hat 3scale API Management, version 2.3, it is possible to use any OIDC-compliant IdP during the API authentication phase. This is a very important new feature because it makes it possible to integrate any IdP already present in your environment—without having to use an Identity Broker—thus reducing overall complexity.

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Red Hat Application Development I: Programming Java EE (JB183) course now available

By Zachary Gutterman September 12, 2018October 18, 2018

The Red Hat Training team is very pleased to announce the release of our latest video classroom course, Red Hat Application Development I: Programming Java EE (JB183). JB183 is the preparatory course for the Red Hat Certified Enterprise Application Developer Exam (EX183). This video classroom course is available now as part of the Red Hat Learning Subscription or as a separate a la carte purchase.

In this course, veteran instructor Will Dinyes guides you through enterprise Java development with easy-to-follow lectures and demonstrations. JB183 is designed for students with a strong understanding of Java SE and object-oriented programming who want to learn how to begin developing modern enterprise applications on Red Hat JBoss Enterprise Application Platform (JBoss EAP) 7.0.

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How to integrate A-MQ 6.3 on Red Hat JBoss EAP 7

By Abraham Francisco Arellano Tavara August 20, 2018August 18, 2018

This article describes in detail how to integrate Red Hat A-MQ 6.3 on Red Hat JBoss Enterprise Application Platform (EAP) 7 and covers in detail the admin-object configuration, especially the pool-name configuration. The attribute pool-name for the admin-object explanation can lead to confusion. In this post, I will try to clarify many of the steps, give an overview of the components, and how they fit together.

The JBoss EAP requires the configuration of a resource adapter as a central component for integration with the A-MQ 6.3. In addition, the MDBs configuration on the EAP is required to enable the JMS consumers. On the A-MQ 6.3, the configuration of the Transport Connectors is required to open the communication channel with the EAP.

All the steps required to configure EAP 7 to use A-MQ 6.3 as an external JMS broker are described here:

Generic Resource Adapter configuration on JBoss EAP 7
MDB configuration for EJB subsystem
A-MQ ports/transport-connectors/security configuration

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Autoscaling the Red Hat Cache Service on OpenShift

By Sebastian Łaskawiec August 8, 2018

Earlier this year, Red Hat announced the Red Hat Cache Service which is a distributed in-memory caching service that runs on Red Hat OpenShift. Red Hat Data Grid is used as the core of the cache service. The cache service is one of the things you can easily install on OpenShift through the OpenShift Service Catalog. You can find the cache service in the Red Hat OpenShift Online Pro tier. (Alternatively, you can install the Cache Service on your own Red Hat OpenShift Container Platform installation by following the installation manual.)

The Cache Service automatically calculates the amount of user storage based on the container size it’s scheduled on. Typically, it’s 512MB. What’s more interesting is that the Cache Service can operate near the full memory capacity (~97–98 %).

The automatic memory adjustment gives you a nice opportunity to try out the new Horizontal Pod Autoscaler (which now supports memory and custom metrics-based autoscaling). The autoscaler monitors the amount of memory used by the container and adds or removes Cache Service pods based on this measurement.

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