Red Hat Decision Manager helps organizations introduce the benefits of artificial intelligence to their daily operations. It is based on Drools, a popular open source project known for its powerful rules engine.
Continue reading Knowledge meets machine learning for smarter decisions, Part 2
Drools is a popular open source project known for its powerful rules engine. Few users realize that it can also be a gateway to the amazing possibilities of artificial intelligence. This two-part article introduces you to using Red Hat Decision Manager and its Drools-based rules engine to combine machine learning predictions with deterministic reasoning. In Part 1, we’ll prepare our machine learning logic. In Part 2, you’ll learn how to use the machine learning model from a knowledge service.
Continue reading Knowledge meets machine learning for smarter decisions, Part 1
I’ve been around Red Hat JBoss BPM Suite (jBPM) and Red Hat Process Automation Manager (RHPAM) for many years. Over that time, I’ve learned a lot about the lesser-known aspects of this business process management engine.
If you are like most people, you might believe that user tasks are trivial, and learning about their details is unnecessary. Then, one day, you will find yourself troubleshooting an error like this one:
User '[User:'admin']' was unable to execution operation 'Start' on task id 287271 due to a no 'current status' match.
Receiving one too many similar error messages led me to learn everything that I know about user tasks, and I have decided to share my experience.
User tasks are a vital part of any business process management engine, jBPM included. Their behavior is defined by the OASIS Web Services—Human Task Specification, which has been fully adopted by Business Process Model and Notation (BPMN) 2.0—the standard for business processes diagrams. The spec defines two exceptionally important things that I will discuss in this article: The user task lifecycle and task access control. Without further ado, let’s jump right in.
Note: These troubleshooting tips are applicable to Red Hat JBoss BPM Suite 6.2 and above and Red Hat Process Automation Manager 7.
Continue reading “Troubleshooting user task errors in Red Hat Process Automation Manager and Red Hat JBoss BPM Suite”
Kogito 0.9.1 has been released, bringing refined business automation documentation and examples. It’s not yet 1.0, but 0.9.1 is a well-prepared milestone release. In this article, I introduce
kogito-examples to help you experience what Kogito is like. First, clone the repo:
Continue reading Play with Kogito examples
In software development, much has been said about testing and there are many ways to think about it. In the context of agility and DevOps, automated testing is considered a foundation for the principles of flow and fast feedback. Considering the implementation of jBPM and Drools within a software delivery project, it becomes natural to think about how to support reliable automated testing for both stages of development and continuous integration.
Continue reading Automated API testing for the KIE Server
“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.” (Edsger W. Dijkstra)
Rule-based artificial intelligence (AI) is often overlooked, possibly because people think it’s only useful in heavyweight enterprise software products. However, that’s not necessarily true. Simply put, a rule engine is just a piece of software that allows you to separate domain and business-specific constraint from the main application flow. We are part of the team developing and maintaining Drools—the world’s most popular open source rule engine and part of Red Hat—and, in this article, we will describe how we are changing Drools to make it part of the cloud and serverless revolution.
Continue reading “Quarking Drools: How we turned a 13-year-old Java project into a first-class serverless component”
With the release of version 7.1 of Red Hat Process Automation Manager (RHPAM), the platform now supports the deployment of the process automation manager runtime as a “capability” within Spring Boot applications. As Maciej Swiderski, the project lead for jBPM.org (the upstream community project for RHPAM) explained earlier this year, the KIE (Knowledge Is Everything) platform on which RHPAM is built provides Spring Boot Starters to quickly build a business application or microservice with process and case execution capabilities using a minimal amount of code.
Continue reading “Spring Boot-enabled business process automation with Red Hat Process Automation Manager”