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A single timestamp for peak storage usage is misleading since the storage usage goes up and down and the last function to create even a tiny amount of storage can cause it to hit a new peak, even though it may have nothing to do with what caused the storage to increase unexpectedly.
Collection services provides a more complete picture.
The CEAC has reviewed this requirement and recommends that IBM view this as a MEDIUM priority requirement that should be addressed.
Background: The COMMON Europe Advisory Council (CEAC) members have a broad range of experience in working with small and medium-sized IBM i customers. CEAC has a crucial role in working with IBM i development to help assess the value and impact of individual RFEs on the broader IBM i community and has therefore reviewed your RFE.
To find out how CEAC help to shape the future of IBM i, see CEAC @ ibm.biz/BdYSYj and the article "The Five Hottest IBM i RFEs Of The Quarter" at ibm.biz/BdYSZT
Therese Eaton – CEAC Program Manager, IBM
I was thinking, for ease of use, that the timestamp should be available on the Navigator for i "Temporary Storage Details" page, as well as via the QSYS2.SYSTMPSTG service.
However, the suggestion to use Collection Services data is acceptable to me since I understand that data. For users that are not knowledgeable about Collection Services, the suggestion above would be preferred.
The peak temporary storage field is kept in the QAPMJOBMI file in Collection Services. So you should be able to query the JBPEAKTMP for the job and look for all intervals over a value just below the peak to find the date and time it was near the peak.
A job could go through many peaks and valleys during its lifespan, so keeping a single timestamp might not show the entire picture.
It's possible that something drove the storage up days before the peak was hit, but the most recent program that allocated some tiny amount of storage caused the cumulative amount of storage to exceed the peak storage. A single peak timestamp would not be that useful for this type of use case, and may even be misleading.
Tracking this at the SLIC level seems like a pretty big requirement for something that could be determined through data already captured by Collection Services. Is there something more needed from the performance tools here?