Task flow from UIE to BMC Performance Predictor for Mainframes and Visualizer

The typical task flow for performance analysis using Universal Information Exchange (UIE),

BMC Performance Predictor for Mainframes

, Visualizer,

BMC AMI Cost Management

, and

TrueSight Capacity Optimizer for Mainframes

is as follows:

The UIE program running on your mainframe server reads and processes raw SMF/RMF data from your target logical systems (z/OS images).
Important
You can substitute the BMC AMI Ops Monitor for CMF data for the IBM RMF data.
The UIE program can also process CICS, Db2, IMS, MQ, and WAS data to provide detailed performance data about your subsystems.
Based on the configuration defined on the mainframe server, you can use default values for most of these parameters.
UIE generates one or both types of output (XML and Visualizer). UIE constructs a set of XML files containing your target systems’ statistical performance data and pushes them through the network to special BMC Performance Predictor for Mainframes services and storage areas on your Windows Console. UIE generates a Visualizer file, which is pulled from the Visualizer Console or manually transferred by the user using FTP or other tools. For more information on Visualizer, see the Visualizer online documentation.
From the BMC Performance Predictor for Mainframes interface on your Windows Console, you can have available performance data pushed to your Windows Console on a regular basis.
Bring the files from those systems into view to create models for baseline study, 'What if...?' scenario staging, and evaluation to create models. Models can be used for study modifications that enable you to grow your system environment in a way that maximizes your performance and resource usage.
Browse for baselines using the Data Subscription Facility. For details, see the Connecting UIE and Performance Predictor section inBMC AMI Capacity Managementdocumentation.
Using other BMC Performance Predictor for Mainframes tools, you can view the models you create by using a variety of graphs that you can customize and that are available in 2D, 3D, and 3D rotational views.
Create reports that summarize the initial baseline data that is received from the mainframe server as well as the models that you have created from them.
Publish your reports on the web so that client systems may view them.