The mainframe skills gap makes a difficult job harder, especially in the area of z/OS performance and capacity planning which requires deep expertise across all the areas of the infrastructure.
Modernizing how you analyze and interpret your RMF/CMF & SMF data using AI techniques makes the best use of your current deep experts, and helps newer staff get up to speed sooner.
In addition, this AI approach enables the team to do important, proactive work that is otherwise not feasible and and has the potential to dramatically change your infrastructure and performance management capabilities.
Related Resources
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.
Challenging the Skills Gap – The Next Generation Mainframers | IntelliMagic zAcademy
Hear from these young mainframe professionals on why they chose this career path and why they reject the notion that mainframes are obsolete.
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.
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