With all the complexity and workload variability present in today’s z/OS systems, it is important to have significant deviations of key metrics from their historical norms called to your attention.
Built-in “change detection” functionality to automatically identify these deviations accompanied by intuitive capabilities to investigate the underlying causes provides another important step forward facilitating effective availability and performance management.
This session will show how this capability complements health assessments using built-in instrumentation of z/OS best practices, and will show real-life examples of how it can add value across several areas of the z/OS infrastructure, including CPU, CICS, Db2, CF, Disk replication, and batch jobs.
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