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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Selected MQ Accounting Data SMF Metrics – Part 2

Examples of various SMF metrics captured in MQ Accounting data that provide insights into detailed MQ activity.

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Selected MQ Accounting Data SMF Metrics – Part 1

Examples of the key SMF metrics captured in MQ Accounting data including buffer pools, Thread Elapsed Time, CPU, elapsed time per get, etc.

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Viewing MQ Accounting Data by Connection Type

Examples of how MQ Accounting data is commonly viewed by the connection type of the MQ caller, and additional levels of detail that are available by connection type.

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