Developing Application Business Rules with Red Hat Decision Manager (AD364)

Red Hat Decision Manager is an open source business automation platform for business rules management that facilitates business policy and rules development, access, and management. Decision Manager includes a fast and highly efficient rules engine and easy-to-use rules development tools and management system. In this course, you will learn how to author, test, and debug business rules, how to generate rule packages, and how Decision Manager’s runtime environment executes rules using both drools and Decision Model Notation (DMN).

Course Details

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Virtual

Course Overview

Author rules with guided decision tables. Implement test-driven rule design using Business Central. Implement advanced rule field constraints with Drools Rule Language (DRL). Execute rules using the KIE API. Resolve rule conflicts with rule flow attributes. Author decisions with Decision Model Notation. Define rules for complex event processing.

1 – Navigate the Red Hat OpenStack Platform architecture

Describe the undercloud and overcloud architecture and service components.

2 – Operate the control plane

Describe and manage the critical core services of the Red Hat OpenStack Platform control plane.

3 – Manage infrastructure security

Protect the Red Hat OpenStack Platform infrastructure by securing service component files and endpoints.

4 – Manage user security

Configure secure user privileges using domain-based identity management, scoped roles, and project organization.

5 – Manage application deployment resources

Create and manage the common, shared deployment resources including custom images, flavors, and metadata services.

6 – Manage storage

Describe and manage storage architecture and components, with an emphasis on Red Hat Ceph Storage back ends.

7 – Manage networking

Create, manage, and troubleshoot data center and virtual network infrastructure.

8 – Manage compute node operations

Describe the architecture and management processes for normal and hyperconverged compute nodes. Perform common operational tasks for compute nodes to support workload uptime and scaling.

9 – Monitor Red Hat OpenStack Platform operations

Describe the monitoring framework and architecture to gather, store, and use operational metrics.

10 – Automate cloud applications

Implement and deploy complex and scalable applications using automation technologies.

11 – Troubleshoot operations

Describe and practice the tools and methods for diagnosing and troubleshooting issues encountered during deployment and management operations.

12 – Comprehensive review

Review tasks from Red Hat OpenStack Platform Administration II: Day 2 Operations for Cloud Operators.

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