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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Webinar

zAcademy: How Long is Too Long? Multi-period Service Classes

Multiple periods are one of the most powerful – and dangerous – tools in the performance analyst’s arsenal. They can ensure critical work gets done and runaway work can’t take over.

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Selected Accounting Data Metrics – Part 2

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

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Video

Selected Accounting Data Metrics – Part 1

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

Watch video

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