Beginning with z13 processors and continuing with z14s, customer experiences have confirmed that delivered capacity is more dependent than ever before on effective utilization of processor cache. This session covers how to interpret the SMF 113 metrics to optimize your environment and reduce CPU consumption and MLC software expense, and reflects findings from analyzing detailed processor cache data from 50 sites.
Details on z14 cache design changes will be presented and assessed using metrics from a z14 migration case study.
Insights into the potential impact of various tuning actions will be brought to life with data from numerous real-life case studies. This session builds upon a related user experience presentation that was selected for the 2016 “SHARE Best Session” award and 2017 “CMG Best Paper Award,” but has been significantly expanded with knowledge and experiences gained from reviewing data from dozens of sites.
Customer Experiences Saving MSUs Through CPC Optimization
Benefit from the experiences of both Watson & Walker’s and IntelliMagic’s customers to learn multiple ways to achieve RNI (Relative Nest Intensity) Nirvana.
Controlling MLC with Capping
‘Soft capping’ is a common technique to control software costs based on the R4HA. IBM offers two ‘flavors’: Defined Capacity (DC) and Group Capacity (GC).
MLC Pricing 101: Tailored Fit, Sub-capacity, and Capping
With the recent IBM announcement about Tailored Fit Pricing, it seems an opportune time to discuss the current pricing methods. In this first blog I’ll cover sub-capacity pricing.
Experience firsthand the deepest visibility into your z/OS systems, processors, network, disk and tape environments. Whether you’re in the early stages of product research, evaluating competitive solutions, or trying to solve a problem, we’re happy to help you get the information you need to move forward with your IT initiatives.
Supported Areas in IntelliMagic Vision for z/OS Systems
Monthly License Charges (MLC)
Tune your processor configuration to increase the MIPS you get out of your mainframe hardware.Learn More
Configure Coupling Facilities for optimal availability and proactively identify hidden health and performance risksLearn More
See Buffer Pool imbalances and proactively identify upcoming risks to your Db2 health and performanceLearn More
Save time looking for problems and profile CICS transaction data and see transaction response timeLearn More
Ensure sufficient capacity and consistent performance for IBM zEDC availability.Learn More
Monitor the health of your TCP/IP and analyze traffic from different perspectives.Learn More