メインフレーム teams are under pressure to do more with the capacity they already have. Monthly license charges, nearing capacity limits, performance issues, and missed batch SLAs can all point to the same underlying problem: ワークロード contention during peak demand.
JOPAZ helps address that challenge by changing how workloads behave, not just tuning around the symptoms. Instead of relying on high-cost, high-risk, or disruptive infrastructure changes, JOPAZ focuses on reducing R4HA peaks, improving batch SLA performance, maximizing mainframe ROI, and freeing existing capacity for additional work.
A JOPAZ Proof-of-Value gives organizations a practical way to measure the opportunity. Teams can run selected applications with and without JOPAZ, then compare the results to determine potential GP capacity savings. This approach helps quantify impact before broader implementation and supports a clearer business case for optimization.
For organizations dealing with constrained mainframe resources, stalled tuning efforts, or increasing license pressure, JOPAZ offers a path to unlock latent workloads, reduce manual tuning, and get more value from existing systems.
