Rule performance analysis is a quite popular topic among Drools users. Of course, it’s not a simple task. Performance could be affected by various factors and the environment. A root cause might be garbage collection, application logic or even accesses to an external system from RHS. This article doesn’t cover all possibilities but only focusesRead more →
What is the Executable Model? The Executable Model is a new way to execute business rules in Drools. It’s based on a Java representation of the rule structure that provides a few advantages such as faster startup time and better memory allocation at runtime. You can check out the details in the Drools Documentation orRead more →
In this post I want to share an interesting use-case of Healthcare message routing, which we implemented using the Drools DMN Engine and Apache Camel, in order to route and dispatch Patient’s Admission-Discharge-Transfer message types to the required Kafka topics and therefore queuing the message to the appropriate sub-system. I believe it is both aRead more →
If you’re reading this, probably you’ve already thought about contributing to an open-source project. However, projects generally have some learning curve, which may intimidate valuable contributors. We do not want that feeling for the DMN editor! So, this is the first of a series of posts that will quickly empower you to contribute to theRead 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 →
While working with the DMN editor, you may have noticed that a big amount of modeling logic lives on the expressions, boxed in a few kinds of DMN nodes. The Boxed Expressions are crucial for modeling decision logic. On that side, there is an ongoing effort from the engineering team to improve the user experienceRead more →
After you develop rules and put the system into production, you will need tomaintain the rules to keep up with business requirements. Basicallytests should ensure the correctness and integrity of the updatedrules, but while you work on updating the rules, you might want toknow the "impact" of your changes. Rule impact analysis feature helps you.Read more →
Quick introduction to Rete nodes Drools is a rule engine based on PHREAK, an evolution of the original 1974 Rete Algorithm by Charles L. Forgy. In this article we’re going to take a deep insight to some of the internals of the system and to a specific feature called "Alpha Network Compiler", which has beenRead more →
Introduction Testing an asset is a crucial phase for most human activities. As humans, we are able to define very complex algorithms and to design intricated domains with several different possible states. There are no boundaries on what we can create and design. On the other side, as humans, we make mistakes. It represents theRead more →
Context-aware code-completion is one of the most important features an IDE can provide to speed-up coding, reduce typos and avoid other common mistakes. Kogito Tooling 0.9.0 release will bring enhanced code-completion for Literal FEEL expressions: Look how it helps me realize that I need to use the "string(from)" function if I want to concatenate somethingRead more →
