When Batch Problems are Peak Problems: Why Adding Capacity Doesn’t Solve Performance

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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?

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.

We’ll show you how to control GP peaks, manage your overages, and eliminate SLA risks—all without changing a single line of code.

Takeaways:

• See how to achieve predictable batch windows and free up resources for new business initiatives without code changes
• Learn why adding capacity is a temporary fix that ignores the root cause of contention
• Discover how to make up to 80% of routine COBOL batch eligible for zIIP, freeing GP for new and latent workloads