Automate performance monitoring


Some basic performance monitoring can be automated by using standard IMS facilities, but many more are available when the other 

BMC AMI Ops Monitor for IMS Online

 products are installed.

The first three examples here cover the first case, the others assume that one or more of the BMC AMI Ops Monitor for IMS Performance Management products are installed.

  • The EXEC DISA captures IMS status regularly on the Journal log by issuing the commands /DISPLAY ACTIVE and /SSR -DIS THREAD(*) every 15 minutes. The responses are written to the Journal log.
  • An EXEC can automatically start and stop DC Monitor for the required monitoring interval.
  • A time-initiated EXEC named MIDNITE can reset logs for the next day; for example:
    • Issue /CHE and /DBR D121PART to force the OLDS to switch.

      This action provides a cutoff for daily IRUF processing for IMS PR and IMS TA

    • Switch BBI-SS PAS Journal and Image logs
    • Reset BMC AMI Ops Monitor for IMS Resource Monitor and BMC AMI Ops Monitor for IMS Online history buckets to zero
  • A time-initiated EXEC could coordinate monitors with activity. You could do one of the following tasks:
    • Change active monitors when different regions, classes, or workloads are scheduled at various times of the day
    • Run a set of special monitors from 11:00 A.M. to 11:30 A.M. with automatic logging to create a peak-usage profile
    • Reset monitors at 6:00 P.M. when the BMP workload starts
  • You can gather workload and service level data from the Image log and write it to a data set for the performance analyst.

    This data can include information such as the number of transactions processed and response time, written to the Image log on a timed basis. The batch job can be tailored to select the information needed to solve a specific problem (to be run on request) or to select a standard set of data (to be run on a regular basis).

    When the job is complete, a message can be sent to the performance analyst stating that the named data set is now ready for review.

 

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