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SLA Management Services Dashboard

The Workflow SLA Management Services dashboard enables you to ensure the health and robustness of the critical Control-M business SLA Services , and to reduce critical SLA Service durations to improve the business efficiency of these Services.

The Workflow SLA Management Services dashboard includes the following panels:

Panel

Description

Services success rate

Shows the total SLA Management Services executions ended on time/Total SLA Management services executions

NOTE: The Service success rate rounds up to 100% when failures are less than 0.0001 of successes.

Total Services executions

Shows the volume of Services executions

Total Services Ended OK

Shows the volume of Services executions ended on time

Total Services Ended Late

Shows the volume of Services executions that passed their defined SLA Deadline

Top 10 Services that had the highest number of executions that passed their SLA deadline

Shows the top 10 Services with the highest number of executions that were late

NOTE: For details of the the size of the delay (the Avg Slack time) in minutes for each Service see the Services that had the highest number of executions that passed their SLA deadline table.

Services that had the highest number of executions that passed their SLA deadline

Shows the list of SLA Services that ended late the most times, along with the average delay in minutes

Table limits: Service Name 12,000

Top 10 Services that had the highest risk of passing their SLA deadline (minimum average Slack time)

Shows the top 10 Services with the highest risk of passing their SLA deadline (minimum average Slack time)

NOTE: For details of how many times the Services executed and their average Slack Services with the highest risk of passing their SLA deadline (minimum average Slack time) table.

Services that had the highest risk of passing their SLA deadline (minimum average Slack time)

Shows the list of SLA Services with the highest risk for ending late, the number of executions for these services, and their average Slack time.

Table limits: Service Name 12,000

Top 5 Services that had the highest risk to pass their SLA deadline, daily trend

Shows the daily average Slack times in minutes, trend on the top 5 Services with the highest risk to pass their SLA deadline, daily trend

NOTE: The graph includes a line per SLA Management Service. Every point on each line is the daily Average Slack time for the relevant Service execution.

Top 5 Services that had the longest average duration, daily trend

Shows the daily average Service duration trend for the top 5 Services with the longest average duration

NOTE: The graph includes a line per SLA Management Service. Every point on each line is the daily average Service duration time for the relevant Service execution.

Top 10 Service Jobs that had the highest number of executions that Ended Not OK

Shows the top 10 jobs that are part of SLA Service and failed most

NOTE: The aggregation includes jobs with the same name in different servers, folders, Applications, or Sub-Applications. For details of the servers, folders Application, or Sub-Applications of each job, see Service Jobs that had the highest number of executions that Ended Not OK table.

Service Jobs that had the highest number of executions that Ended Not OK

Shows the list of jobs that are part of SLA Service and failed most

Table limits:

  • Job Name: 1,000
  • Control-M Server: 3
  • Folder: 4
  • Service Name: 3
  • Application: 1
  • Sub-Application:1
  • Host:1

Top 10 longest Jobs affecting Service critical path completion

Shows the top 10 jobs that are part of SLA Service critical paths and have the longest average duration

NOTE: The aggregation includes jobs with the same name in different servers, folders, Applications, or Sub-Applications. For details of servers, folders, Applications, or Sub-Applications of each job see the Longest Jobs affecting Service critical path completion table.

Longest Jobs affecting Service critical path completion

Shows the list of jobs that are part of SLA Service critical path and have the longest average duration

Table limits:

  • Job Name: 2,000
  • Control-M Server: 3
  • Folder: 4
  • Service Name: 2
  • Application: 1
  • Sub-Application:1
  • Host:1

Top 10 Jobs that had the longest time Gaps affecting Service critical path completion

Shows the top 10 Jobs that are part of SLA Service critical path and had waited most to start executing although their predecessors jobs finished

NOTE: The aggregation is done by Job name so if you have jobs with the same names in different Servers, Folders, Applications or Sub Applications they will be aggregated together, you can see the breakdown in the Jobs that had the longest time Gaps affecting Service critical path completion table.

Jobs that had the longest time Gaps affecting Service critical path completion

Shows the list of jobs that are part of SLA Service critical path and had waited most to start executing although their predecessor jobs finished

Job after gap table limits:

  • Job Name after gap: 1,000
  • After Job - Folder: 4
  • After Job - Server: 3
  • After Job - Application: 1
  • After Job - Sub Application: 1
  • After Job - Host: 1
  • Service Name: 3

Job before gab table limits:

  • Job Name before gap: 1
  • Before Job - Folder: 1
  • Before Job - Server: 1
  • Before Job - Application: 1
  • Before Job - Sub-Application: 1
  • Before Job - Host: 1

The following examples demonstrate how the SLA Management Services dashboard is used to gain additional insights using the available dashboard filters:

EXAMPLE: Determine what the duration trend of the PrivateBanking Service is and which jobs in this Service failed most in the last 3 months.

  1. From the Time filter, select the last 3 months.
  2. In a new Filter, set ServiceName to PrivateBanking.
  3. In the Top 5 Services that had the longest average duration, daily trend panel, view the PrivateBanking Service duration trend.
  4. In the Service Jobs that had the highest number of executions that Ended Not OK panel, view the list of jobs that in the PrivateBanking SLA Service that failed most.

EXAMPLE: Determine how to reduce completion time of RetailBanking Service as compared to the the last 30 days.

  1. From the Time filter, select the last 30 days.
  2. In a new Filter, set ServiceName to RetailBanking.
  3. In the Top 10 longest Jobs affecting Service critical path completion panel, view the the top 10 jobs in the critical path of RetailBanking that have the longest average duration.
  4. In the Top 10 Jobs that had the longest time Gaps affecting Service critical path completion panel, view the top 10 jobs in the critical path of RetailBanking that waited most to start executing even though their predecessor jobs were finished. With this information, try to have these jobs start with less wait.

Parent Topic

Workflow Insights Dashboard Options