MQ Statistics and Accounting SMF data provides extremely useful insights into MQ management and operation. Unfortunately, extracting those insights from the SMF 115 and SMF 116 record types is challenging – and raw data pulls lack context or accessibility.

Our learning journey will include:

  • How to proactively identify risks to MQ availability and performance
  • Introducing the many types of metrics provided in the MQ Statistics data, including requests by MQ command, buffer utilization and write thresholds and various logging metrics
  • Introducing metrics available in the MQ Accounting data, including command elapsed and CPU times, message lengths, persistent message counts, and queue depth
  • Examining the differing profiles of work generated by the various callers of MQ services (“connection type”), including elapsed and CPU times


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