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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zAcademy: Imagine How Much You Can Learn Exploring CICS Transaction and Statistics Data

This session suggests capabilities to keep in mind as you seek to modernize how you access and analyze your Db2 SMF data, both to promote rapid learning as well as boost the value you derive from your data.

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zAcademy: User Experience Leveraging Db2 SMF Data to Solve Business Problems

This session suggests capabilities to keep in mind as you seek to modernize how you access and analyze your Db2 SMF data, both to promote rapid learning as well as boost the value you derive from your data.

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Webinar

zAcademy: Imagine How Much You Can Learn Exploring Db2 Accounting Data

This session suggests capabilities to keep in mind as you seek to modernize how you access and analyze your Db2 SMF data, both to promote rapid learning as well as boost the value you derive from your data.

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