jboss brms

Modern business logic tooling workshop, lab 1: Installation

Modern business logic tooling workshop, lab 1: Installation

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

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

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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Getting Started with Red Hat Decision Manager 7

Getting Started with Red Hat Decision Manager 7

The all new and shiny Red Hat Decision Manager 7 has been recently released. Decision Manager 7 is the successor to Red Hat JBoss BRMS, our business rules and decision management platform. In this post we will have a look at the primary new features and provide instructions on how to get started with the new platform, either on your local machine or in an OpenShift Container Platform.

Red Hat Decision Manager 7 focuses on four main themes: Fit & Finish, Cloud-Native, Decision Model and Notation (DMN), and Business Optimizer.

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It’s Time To Accelerate Your Application Development With Red Hat JBoss Middleware And Microsoft Azure

It’s Time To Accelerate Your Application Development With Red Hat JBoss Middleware And Microsoft Azure

The role of applications has changed dramatically. In the past, applications were running businesses, but primarily relegated to the background. They were critical, but more operational in the sense that they kept businesses running, more or less. Today, organizations can use applications as a competitive advantage. In fact, a well-developed, well-timed application can disrupt an entire industry. Just take a look at the hotel, taxi, and movie rental industries respectively.

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JBoss: Developer’s Guide

JBoss: Developer’s Guide

Modern applications development demands optimized tools and services. Applications must integrate with different systems and share data. Organizations must be able to immediately respond to changing conditions. JBoss Middleware drives enterprise application innovation every day to deliver the best projects and products. Whether you are an experienced enterprise application developer or just getting started, JBoss: Developer’s Guide provides you with the best time to value guide for enterprise application delivery with the JBoss brand, using hands-on coding and lab exercises with real-life business examples. In-depth information is provided for multiple components of the JBoss Middleware ecosystem to guide you through application development, deployment, data storage and access, communication and messaging, and business process optimization.

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Building a Secure IoT Solution: Summit 2017

Building a Secure IoT Solution: Summit 2017

How do customers build an end-to-end IoT solution using commercial grade, open source products? This is the question we (Patrick Steiner, Maggie Hu and I) wanted to address with our session at the Red Hat Summit, Boston. The end-to-end solution is based on three-tier Enterprise IoT Architecture, which integrates IoT data with existing business processes and the human element.

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Your first Business Rules application on OpenShift: from Zero to Hero in 30 minutes

Your first Business Rules application on OpenShift: from Zero to Hero in 30 minutes

In a previous blog post, we explained how to deploy an existing JBoss BRMS/Drools rules project onto an OpenShift DecisionServer. We created a decision/business-rules microservice on OpenShift Container Platform that was implemented by a BRMS application. The polyglot nature of a microservice architecture allowed us to use the best implementation (a rules engine) for this given functionality (business rules execution) in our architecture.

The project we used was an existing rules project that was available on GitHub. We did however not explain how one can create a project from scratch in the JBoss BRMS Business Central environment and deploy it on OpenShift Container Platform. That is what we will explore in this article.

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How to build a containerized IoT solution with OpenShift

How to build a containerized IoT solution with OpenShift

For businesses looking to build scalable Internet of Things (IoT) solutions using containers, here is a sample project built on the Red Hat OpenShift Container Platform. This project implements an intelligent IoT gateway on the OpenShift Container platform. The IoT Gateway is critical for enterprise IoT as it brings intelligence, and enables key services, at the edge. In this project, the gateway application is deployed as a set of microservices inside containers on OpenShift.

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How to Build an Intelligent IoT Gateway in 7 Easy Steps

In previous blogs, I talked about the the critical role of the IoT gateway in the enterprise Internet of Things (IoT) as it enables real time decision-making at the edge, secures downstream devices and optimizes network utilization. So how does one go about building this gateway? In this blog, you’ll learn how to build an intelligent IoT gateway in a few simple steps – you can find the code at  GitHub.

To automate the gateway provisioning, we’ll using Ansible by Red Hat. Why? Because it is the simplest and best tool out there for this job. Besides, it can also be used for configuration management and application deployment. Once you’re ready to provision and deploy thousands of gateways in a production environment, you can use this same Ansible tool. This is how IT departments provision the systems securely across the network.

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Red Hat Keynote Mobile App

This year’s middleware keynote address at Red Hat Summit talked about microservices, the power of the pipeline, and how developers and devops can work together to release code to production at a much higher rate.

The keynote also demonstrated how releases can be shipped so you can switch from the existing deployment to a new deployment (blue/green deployments), and demonstrated how to roll out a canary deployment to a subset of users to test out new features. (If the canary “dies”, roll the deployment back. If it lives, gradually ramp up the release of the deployment until all users receive the new code. )

To show all of this off, we needed to create something visual, where users could see the deployments change right in front of their eyes. That’s where the Red Hat Keynote Mobile Application came in.

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