Course Outline

Drools Administration

Short Introduction to Rule Engines

  • Artificial Intelligence
  • Expert Systems
  • What is a Rule Engine?
  • Why use a Rule Engine?
  • Advantages of a Rule Engine
  • When should you use a Rule Engine?
  • Scripting or Process Engines
  • When you should NOT use a Rule Engine
  • Strong and Loose Coupling
  • What are rules?

Where things are

  • Managing rules in a jar file
  • Git repository
  • Executing rules from KIE
  • Managing BPMN and workflows files
  • Moving knowledge files (rules, processes, forms, work times...)

Rules Testing

  • Where to store test
  • How to execute tests
  • Testing with JUnit

Deployment Strategies

  • standalone application
  • Invoking rules from Java Code
  • integration via files (json, xml, etc...)
  • integration via web services
  • using KIE for integration

Administration of rules

  • authoring
  • Packages
  • Artifact Repository
  • Asset Editor
  • Validation
  • Data Model
  • Categories
  • versioning
  • Domain Specific Languages
  • Optimizing hardware and software for rules execution
  • Multithreading and Drools

Kie

  • Projects structures
  • Lifecycles
  • Building
  • Deploying
  • Running
  • Installation and Deployment Cheat Sheets
  • Organization Units
  • Users, Rules and Permissions
  • Authentication
  • Repositories
  • Backup and Restore
  • Logging

Requirements

Good understanding of Java Environment, Linux operating system. Git repository basics recommended, but not required.

  21 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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