Getting started

BMC AMI Capacity Reporting is a tool that helps detect deviations in the normal behavior of metrics that impact capacity, performance, and mainframe IT costs. It uses machine-learned standards to recognize patterns in shift usage.

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Installing

Customizing-after-installation

Using

BMC AMI Capacity Reporting comes with product-provided workflow templates that use data science to help you understand the deviations that triggered the impact. These workflow templates are designed to detect anomalies in applications, hardware, and system software. They can also directly or indirectly detect service level impact or risk due to limited capacity or excess software license costs. There are product-defined workflow templates to detect CPU Efficiency, Overhead, or SLA risks. You can modify and clone these templates to add site-specific knowledge.You can also create your workflows and rules for additional metrics to detect additional anomalies. All the baseline creation and anomaly detection execution occurs on the BMC AMI Capacity Reporting Windows server, avoiding any impact on z/OS GCP MSU.


The following topics describe the key concepts and basic features to get started with the product:

Where to go from here

To install BMC AMI Capacity Reporting, see Installing.

For the administrative setup tasks that prepare BMC AMI Capacity Reporting for use, see Setting up BMC AMI Capacity Reporting.

When you are ready to start using BMC AMI Capacity Reporting, see Using.

 

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