Identify a scheduled job that is causing slow performance or running more often than
necessary through the Scheduled Jobs table.
Vorbereitungen
Role required: sn_app_insights.admin or admin
Starting with the Zurich release, Application Insights is no longer deployed, enhanced, or supported. It is recommended to evaluate the Monitoring instance health with Instance Observer product available with the ServiceNow Impact packages. Work with your Account team to review Impact packages.
For details, see the Deprecation Process [KB0867184] article in the Now Support Knowledge Base.
Prozedur
-
Navigate to .
-
Identify potential performance issues by viewing the executed script includes
in the Scheduled Jobs table.
- Focus on a 1-day, 7-day, or 30-day period by selecting a day range.
- Identify long-running jobs by sorting on the Average
processing duration in range column.
- Find out which jobs are running the most often by sorting on the
Run count in range column.
- Identify jobs with the most errors by sorting on the Error
count in range column.
-
Investigate a potential issue by selecting a scheduled job.
The Processing Duration detail graph shows the
scheduled job's average execution time and its 1-day moving
average.
-
View the performance for the scheduled job over time by analyzing the
Processing Duration detail graph.

Determine whether the job is running unexpectedly, running during business
hours, or running during peak usage time periods.
-
View the job's details and schedule to determine what improvements you can make
by selecting View Record.
- Change the job's schedule if the job is running too often or during
times of peak usage.
- Determine the best time to run a scheduled job by looking for periods of
low user activity on the Logged in Users graph on the
Session Info tab.
- Review the scheduled script or report and determine whether it can be
optimized or removed.
-
Select Update.
-
Check the performance of the scheduled job over time by viewing the
Processing Duration detail graph.
-
Continue making adjustments to the schedule or job details until the average
processing duration improves.