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The Workflow Health dashboard enables you to ensure the robustness of the Control-M business processes.
The following table describes the panels in the Workflow Health dashboard:
Panel |
Description |
|---|---|
Executions success rate |
Shows the percentage of executions Ended OK divided by Total Executions NOTE: The execution success rate rounds up to 100% when failures are less than 0.0001 of successes. |
Total executions |
Shows the volume of job executions |
Total executions Ended OK |
Shows the volume of jobs that ended OK |
Daily executions Ended Not OK |
Shows the total jobs failures per day, displayed over time NOTE: Each point on the graph is an aggregation of total daily executions that ended Not OK. |
Top 10 Jobs that had the highest number of executions that Ended Not OK |
Shows the top 10 jobs that failed the most times NOTE: The aggregation includes jobs with the same name in different servers, folders, Applications or Sub-Applications. For details of the server, folder, Application, and Sub-Application of each job, see the Jobs that had the highest number of executions that Ended Not OK table. |
Jobs that had the highest number of executions that Ended Not OK |
Shows the list of job with the highest number of failures Table limits:
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Top 10 Applications that had the highest number of jobs that Ended Not OK |
Shows the top 10 Applications with the highest number of jobs failures NOTE: The aggregation includes Applications with the same names in different Servers or Sub-Applications. For details of the server and Sub-Application of each Application, see the Applications that had the highest number of jobs that Ended Not OK table. |
Applications that had the highest number of jobs that Ended Not OK |
Shows the list of Applications with the highest number of job failures Table limits:
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Top 10 Folders that had the highest number of jobs that Ended Not OK |
Shows the top 10 Folders with the highest number of jobs failures NOTE: The aggregation includes folders with the same name in different servers. For details of the server of each job, see the Applications that had the highest number of jobs that Ended Not OK table. |
Folders that had the highest number of jobs that Ended Not OK |
Shows the list of folders with the highest number of job failures Table limits:
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Top 10 Hosts that had the highest number of jobs that Ended Not OK |
Shows the top 10 Control-M Agents with the highest number of job failures NOTE: The aggregation includes hosts with the same name in different servers. For details of each host, see the Hosts that had the highest number of jobs that Ended Not OK table. |
Hosts that had the highest number of jobs that Ended Not OK |
Shows the list of hosts with the highest number of job failures Table limits:
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The following examples demonstrate how the Workflow Health dashboard is used to gain additional insights using the available dashboard filters:
EXAMPLE: Determine which job that belongs to the Application FIN and Sub-application FINCBS failed the most in the last 30 days.
EXAMPLE: Determine which File Transfer failed most in the last year and the overall robustness of the file, and to determine the dates when it failed.
Parent Topic |