Stream: Woodcote
Time: 16:45 - 17:45
| Mainframe optimization is a multi-tiered ongoing process where batch performance management is a major area that needs focus. It is good to know what resources are on the mainframe, how and when are they being used, and for what price. The goal of batch performance management is to make the best use of existing resources to meet batch service level agreements (SLAs). For effective batch performance, need to measure resource requirements at the job level, to ensure batch applications are using mainframe CPU efficiently, both to maintain service levels and to keep costs in control. Analyzing batch helps to understand the behavior of batch CPU utilization and how batch interacts with different components like DB2, IMS, etc., Batch performance metrics help to identify and correct application coding errors and inefficiencies in order to deliver faster responses and meet service levels. More efficient code will result in the same workload being handled using less processing power helping to 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! |
There is currently no attachment for Batch Performance Management
Mary Solomon is consulting in SMT Data A/S since 2018. Has a total of 9 years of experience in Mainframe Performance & Capacity management a major portion of which had been her association with IBM India. Currently, she supports multiple clients in the Nordic region. She has been involved in various mainframe optimization projects. Instrumental in performing health checks she has helped clients to optimize the configuration to reduce floor capacity/software licensing charges. She works with large banks to develop capacity plans for budgeting and forecasting. Is an expert in SAS / MXG and also in using SMT ITBI Tool for creating reports for the various clients.
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