PIReporter for Batch

Performance Intelligence > Products > PIReporter for zOS > PIReporter for Batch

PIReporter for Batch provides performance data collection and analysis for zOS batch jobs using SMF-gathered performance data.

 

Batch applications provide the heavy lifting for mission-critical applications—from critical periodic tasks like payroll processing or end-of-period accounting tasks to special occasions and special installation, migration or analysis tasks—the outcome of batch applications impacts the organization's ability to compete in the marketplace and achieve it's goals. Ensuring that critical applications start and end at planned times, have access to the resources they need and operate in harmony with online systems is critical for efficient and effective use of computing resources—and for the organization's well being.

 

PIReporter for Batch provides vital performance management and historical information about batch application execution that is used to monitor critical application execution, perform capacity planning and help with operation management and planning. System managers and programmers can use the reports and analysis provided to understand resource consumption needs, provide appropriate service levels and efficiently utilize expensive resources without waste.

 

Other benefits provided by PIReporter for Batch include:

· Data collection from SMF records and historical archiving

· Off-loading performance data storage and analysis to a non-critical platform

· Analysis applications that allow users to author reports with no IT support

· Pre-defined reports used by real-world users to solve real-world issues

· KPI driven analysis processes help users follow best practices for batch performance management

 

Additional features and highlights:

· Advanced data selection—date, system id/job/step/proc, name pattern/exclusion lists, service class, job class

· Available system interval performance analysis

· Multiple summary levels—job, step, proc, date, time, hour, system id, day segment, service class

· KPI analysis—CPU time, elapsed time, I/O count, I/O-elapsed ratio

· Period Comparison—tab and graphic displays for trend analysis

 

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View and Models:

Data Warehouse Summary Model

Period Comparison

Archive Model

 
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