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DTSTAMP:20260316T164529Z
LOCATION:Salon 14
DTSTART;TZID=America/New_York:20260224T091500
DTEND;TZID=America/New_York:20260224T101500
UID:share_SHARE Orlando 2026_sess127_TECH_168@linklings.com
SUMMARY:Batch Performance: Lessons from a Customer Case
DESCRIPTION:Mary Solomon (SMTData)\n\nMainframe optimization is a multi-ti
 ered ongoing process where batch performance management is a major area th
 at needs focus. It is good to know what resources are on the mainframe, ho
 w and when are they being used, and for what price. The goal of batch perf
 ormance management is to make the best use of existing resources to meet b
 atch service level agreements (SLAs). For effective batch performance, nee
 d to measure resource requirements at the job level, to ensure batch appli
 cations are using mainframe CPU efficiently, both to maintain service leve
 ls and to keep costs in control. Analyzing batch helps to understand the b
 ehavior of batch CPU utilization and how batch interacts with different co
 mponents like DB2, IMS, etc., Batch performance metrics help to identify a
 nd correct application coding errors and inefficiencies in order to delive
 r faster responses and meet service levels. More efficient code will resul
 t in the same workload being handled using less processing power helping t
 o minimize usage-based software licensing charges and reduce the pressure 
 to invest in additional processing capacity. Since batch performance plays
  a major role in terms of both costs and performance in the mainframe, it 
 is worth doing it!\n\nTrack: Performance and Capacity Management, z/OS Sys
 tems Programming\n\nLearning Objectives: Maximize System Performance & Thr
 oughput\n\nFocus Area: Core Platform\n\nSession Type: Best Practices Sessi
 on\n\nAudience Level: Intermediate\n\n
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