One of the most important features of Drools is the possibility of evaluating rules in an interactive and conversational way, allowing to use inference to make iterative changes to facts over time and preserving the state of a session among different invocations. Actually this characteristic is so widely used, for instance when performing complex eventRead more →
The Drools team is happy to announce that our rule engine reached the 8 Final release. Drools 8-series is a natural evolution of the 7.x-stream, incorporating many features and lessons learned integrating with Kogito and many cloud-native use cases. The purpose of this article is to give a high level overview of the features introducedRead more →
Log4J 2.x is a widely used Java logging framework. Unfortunately a few days ago it has been exposed to an important security vulnerability (“Log4Shell”, CVE-2021-44228). The whole KIE ecosystem (Kogito, Drools, OptaPlanner and jBPM) moved to SLF4J, a different logging facade with Logback as default implementation, a few years ago and it is therefore notRead more →
The goal of this article is to demonstrate how to expose a Drools stateless rules evaluation in a Quarkus REST endpoint and then how to migrate it to Kogito in order to fully leverage Quarkus features and finally how to embrace the Kogito’s programming model based on rule units. Overview In Drools a stateless rulesRead more →
Introducing Drools executable model During the development of Drools 7.x we created the executable model with the goal of providing a pure Java-based representation of a rule set. One of the main drives for its introduction was to speed up the creation of a KieContainer starting from a compiled kjar. In fact what Drools 6.xRead more →
Overview The purpose of the executable model is to provide a pure Java-based representation of a rule set, together with a convenient Java DSL to programmatically create such model. The model is low level and designed for the user to provide all the information it needs, such as the lambda’s for the index evaluation. ThisRead more →
