Even without the increasing complexity of the infrastructure, the growing multitude of available metrics, or the already critically low staffing levels, it would still take an army of experts to assess the health of the entire infrastructure every single day.
Under the best of circumstances, an experienced analyst knows the key metrics and areas to check for likely issues or has decades worth of SAS/MXG code to help with this endeavor. But that is neither scalable, nor transferrable to the next generation.
Machine intelligence designed correctly has a deep understanding of the system and can do all the computing, analyzing, normalizing, and prioritizing automatically. This enables experienced and novice performance analysts to efficiently and effectively resolve problems before they occur.
This video is an excerpt from the webinar, “RMF/SMF Analysis – Get Ahead of the Curve with Statistical Analysis.”
Related Resources
Making Sense of the Many I/O Count Fields in SMF | Cheryl Watson's Tuning Letter
In this reprint from Cheryl Watson’s Tuning Letter, Todd Havekost addresses a question about the different fields in SMF records having different values.
What's New with IntelliMagic Vision for z/OS? 2024.2
February 26, 2024 | This month we've introduced changes to the presentation of Db2, CICS, and MQ variables from rates to counts, updates to Key Processor Configuration, and the inclusion of new report sets for CICS Transaction Event Counts.
Expanding Role of Sub-Capacity Processors in Today's Mainframe Configurations | Cheryl Watson's Tuning Letter
In this reprint from Cheryl Watson’s Tuning Letter, Todd Havekost delves into the role of sub-capacity processors in mainframe upgrades, providing insights on transitioning to a more efficient CPC.
Book a Demo or Connect With an Expert
Discuss your technical or sales-related questions with our mainframe experts today