MQ Statistics - Learning From SMF | Cheryl Watson's Tuning Letter

Comprehensive Guide to Understanding MQ SMF 115 Statistics Data

The mainframe platform produces an incredibly rich set of metrics that exceeds any other. This measurement data can provide a tremendous learning opportunity, both for how various elements of the z/OS ecosystem operate in general, and specifically how those technologies are actually operating in your own environment.

This article is designed to introduce you to the types of insights that are available through SMF data with a focus on the SMF 115 MQ Statistics data. (To read the next article on SMF 116 Accounting Data follow this link.)

After reading, you will have a better understanding of how MQ functions in general, and you may be motivated to investigate MQ metrics in your environment.

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This document is reprinted with permission from Watson and Walker. It originally appeared in Cheryl Watson’s Tuning Letter 2020 No. 1.

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