Discover how to transform unpredictable outages into predictable ones by creating Availability Intelligence out of the RMF and SMF data using built-in expert domain knowledge.
The mainframe is well known for superior availability and resilience, but unpredictable service disruptions do still occur. How can most of these “unpredictable” incidents become predictable instead? Fortunately, the mainframe produces the world’s richest source of performance and configuration data in the form of RMF and SMF, yet this data remains vastly underutilized. Seeking and avoiding threats to production availability requires new methods that go far beyond yesterday’s and go beyond more recent statistical analysis approaches. The key to outsmarting unavailability is to automatically interpret the RMF and SMF data using built-in expert domain knowledge about the hardware capabilities and best practices. IntelliMagic Vision does for z/OS Processors, Disks, Replication, and Virtual Tape components, and it’s easiliy accessbile via software-as-a-service. Learn more about Availability Intelligence at www.intellimagic.com
Benefits of Analysis Across SMF Data Types
No matter which z/OS subsystem you are primarily responsible for, this article will help you blur the boundaries between the SMF ‘silos’ for each product.
Don’t Keep Your CPU Waiting: Speed Reading for Machines | IntelliMagic zAcademy
This webinar discusses the many tiers of storage in IT systems and offers ideas about how to optimize access to those areas.
IntelliMagic Vision Adds SMF Field Name Mapping to Live Report Editor
February 27, 2023 | IntelliMagic Vision version 12.1 provides the capability to easily reference and add variables by SMF field names.
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