The Job Execution dashboard enables you to ensure job execution efficiency and duration stability.
The Job Execution dashboard includes the following panels:
Panel |
Description |
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Total executions |
Shows the volume of job executions |
Average Job duration |
Shows the average duration in minutes of all the jobs that were executed in the selected time frame and Filters |
Jobs that had the highest number of executions |
Shows the list of jobs that were executed most together with their average duration statistics Table limits:
|
Top 5 Jobs that had the longest average duration, daily trend |
Shows the daily average jobs duration trend for the top 5 jobs with the longest average duration NOTE: The graph includes a line per job. Every point on each line is the daily average job duration time for the relevant job executions. |
Number of Jobs started by the hour(hour is in UTC time zone) |
Shows the number of jobs that started to execute by hour of day NOTES:
|
Number of Jobs ended by hour (hour is in UTC time zone) |
Shows the number of jobs that ended execution by hour of day NOTES:
|
Top 10 Cyclic Jobs that had the highest number of Reruns |
Shows the top 10 cyclic jobs with the most reruns. NOTE:
|
Cyclic Jobs that had the highest number of Reruns |
Shows the list of jobs with the highest number of reruns. NOTE: z/OS jobs only appear on this table from the second rerun. Table limits:
|
Monthly Jobs executed |
Shows the volume of job executed per month |
The following examples demonstrate how the Job Execution dashboard is used to gain additional insights using the available dashboard filters:
EXAMPLE: Determine which jobs have the longest average duration in the RetailBanking Application in the last 4 months and if the jobs have any duration degradation over time.
EXAMPLE: PrivateBanking users opened a ticket that they experienced a lag in the jobs executions on August 18 between 10:00 to 14:00.
EXAMPLE: A ticket states that the sendOrder job that belongs to the RetailBanking Application failed on August 18th. You need to compare the failed job duration to the previous successful orders in previous week.
Parent Topic |