Automation Dashboard and Analytics - Solution Guide
Important update
This Knowledgebase article is no longer current and has been superseded by the official Red Hat Ansible Automation Platform 2.7 documentation.
AAP 2.7 provides several related options for collecting, viewing, and analyzing automation data:
Metrics service
The metrics service collects and stores automation usage data from Ansible Automation Platform. It provides the data backend used by the integrated automation dashboard for reporting on job activity, automation usage, and estimated savings.
Understand and install the metrics service
Integrated automation dashboard
Available with Ansible Automation Platform 2.7 and later, the integrated automation dashboard is deployed and managed as part of the platform. It displays automation activity, job outcomes, host usage, execution time, and estimated time and cost savings for the AAP deployment in which it is installed.
Review automation dashboard deployment options
Standalone automation dashboard
The standalone automation dashboard is installed separately on Red Hat Enterprise Linux and can collect data from one or more AAP deployments running AAP 2.4 or later. It is useful when organizations want to aggregate savings data across multiple AAP environments or manage the dashboard independently from the platform lifecycle.
Install the standalone automation dashboard
Automation Analytics
Automation Analytics is a Red Hat-hosted service available through the Red Hat Hybrid Cloud Console. It provides organization-wide analysis of automation usage, job performance, adoption, and business value across connected AAP environments.
Automation Analytics includes:
- Automation savings planner: Models the projected time and cost savings of planned automation initiatives and compares projections with linked job templates.
- Reports: Provides customizable visual reports for understanding automation usage, job activity, adoption, and performance.
- Job Explorer: Provides a searchable and filterable view of automation jobs across clusters and organizations, including job status, templates, inventories, and failures.
- Analytics configuration and data collection: Controls the automation data collected by AAP and sent to Red Hat for use by Automation Analytics.
For the complete and most current documentation, see the Red Hat Ansible Automation Platform 2.7 documentation.