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In the posts below, learn how batch automation benefits your datacenter by leveraging machine speeds to optimize your z/OS batch workload, reduce CPU demand, and save on software and hardware costs. Automation also frees up personnel from labor intensive, manual intervention in batch workload for reassignment to higher priority tasks.

Intelligent batch automation leverages machine speeds to analyze jobs coming into the system and ready them for initiation. Taking advantage of queue time, automated workload management can fetch all necessary resources to complete jobs prior to their execution, escalating their execution when service level objectives are at risk. Optimization of batch workload reduces overall demand, allowing datacenters to defer expensive hardware upgrades, while reduction of peak MSUs allows for soft cap limits to be consequently reduced, resulting in significant IBM monthly license charge savings.

Batch processing is an area that gives excellent payback for the effort involved in finding datacenter savings. It is a significant portion of most mainframe workloads; and, the improvements to be had through batch automation are generally greater than with online, which has long been the focus for optimization and savings.

Assembler not Required

By | August 18th, 2016|Batch Automation|

For many companies, ThruPut Manager works right "out of the box." And where customization is needed, there's a simple, straightforward language to control it.

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Getting Our Batch Priorities Straight

By | June 23rd, 2016|Batch Automation|

A good part of our job is managing priorities given to us and delivering on expectations. ThruPut Manager automation gives you the time needed to focus on the things that lead to success in your work.

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