{"id":9759,"date":"2026-06-09T13:23:57","date_gmt":"2026-06-09T17:23:57","guid":{"rendered":"https:\/\/www.softwareag.com\/?post_type=event&p=9759"},"modified":"2026-06-11T13:00:56","modified_gmt":"2026-06-11T17:00:56","slug":"when-batch-problems-are-peak-problems-why-adding-capacity-doesnt-solve-performance","status":"publish","type":"event","link":"https:\/\/www.softwareag.com\/de\/events\/when-batch-problems-are-peak-problems-why-adding-capacity-doesnt-solve-performance\/","title":{"rendered":"When Batch Problems are Peak Problems: Why Adding Capacity Doesn\u2019t Solve Performance"},"content":{"rendered":"\n \n
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\n \n \n When Batch Problems are Peak Problems: Why Adding Capacity Doesn\u2019t Solve Performance\n <\/h1>\n\n
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The webinar addresses batch performance issues in mainframe environments, focusing on workload distribution rather than merely adding processing capacity.<\/p>\n <\/div>\n \n Save Your Seat\n <\/a>\n <\/section>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n\n

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Mainframe environments often struggle during peak processing times. When General Purpose (GP) processors hit maximum capacity, latency rises and SLAs can be missed. One common solution is simply adding more capacity. But what if the problem is workload distribution, not a lack of processing resources?<\/p>\n\n\n\n

In this webinar, we uncover the root cause of many batch performance issues: resource contention at peak. When GP utilization nears 100%, the system spends more time managing the queue than executing work, creating a deadlock that puts performance at risk. Join us as we demonstrate an alternate solution that addresses batch contention by changing how workloads execute.<\/p>\n\n\n\n

We\u2019ll show you how to control GP peaks, manage your overages, and eliminate SLA risks\u2014all without changing a single line of code.<\/p>\n\n\n\n

Takeaways:<\/strong><\/p>\n\n\n\n