You have learned to love the powerful Kogito codegen capabilities. You just drop your asset to your source directory (or you feed it to the powerful operator) and you get a fully-functional REST endpoint for free.
However, from day one we understood that automated code-generation would bring you only to a certain point. That is why we wanted to provide a great programmatic API. Yet, so far we were not confident enough to open up the internal API that we were using as our code generation target. The reason is that we wanted to get it right first.
We are now happy to release a first version of our new public API in incubation state starting from version 1.13!
For the last few months, here at KIE team we’ve been hard at work. Today I am proud to announce that our cloud-native business automation platform is hitting a major milestone. Today we release Kogito 1.0! Kogito includes best-of-class support for the battle-tested engines of the KIE platform: the Drools rule language and decision platform, the jBPM workflow and process automation engine, the OptaPlanner constraint satisfaction solver; and it bringsRead more →
Originally posted here My favorite topic of discussion last year was moving computations to compile-time. In fact, I went to a few conferences explaining how moving processing out of your run-time and into build-time, is a conceptually simple but extremely effective way to make your applications lighter. This was sometimes received with little enthusiasm: theRead more →
Welcome to another episode of this blog series on the Kogito initiative and our efforts to bring Drools to the cloud. The goal of these posts is to gather early user feedback on the features we are delivering to Kogito. In this post we present two new ways to realize a complete intelligent service: self-containedRead more →
This is the second post of a series of updates on the Kogito initiative and our efforts to bring Drools to the cloud. In this post we delve into the details of rule units and show you why we are excited about them. An All-Encompassing Execution Model for Rules If you’ve been carefully scrutinising theRead more →
The Kogito initiative is our pledge to bring our business automation suite to the cloud and the larger Kubernetes ecosystem. But what does this mean for our beloved rule engine, Drools? In this post we introduce modular rule bases using rule units: a feature that has been experimental for a while in Drools 7, butRead more →
Image courtesy of Massimiliano Dessì You can find the full source code for this blog post in the submarine-examplesrepository. Different programming languages are better for different purposes. Imagine how hard would it be to query a database using an imperative language: luckily, we use SQL for that. Now, imagine how useless would a rule engineRead more →