One of the most common requests from z/OS performance professionals is the ability to detect workload and application changes. This can include:
- When a new application is brought online
- When a new version of an existing application behaves differently
- When there is a problem with a started task
- When important workloads or transactions deviate from the norm
Statistical approaches help save CPU time and MSU’s by being able to quickly see when something new comes online or when new application versions are less efficient.
And the added benefit is the contextual information available through simple drilldowns.
This video is an excerpt from the webinar, “RMF/SMF Analysis – Get Ahead of the Curve with Statistical Analysis.”
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