Workflow Insights
Control-M Workflow Insights is a data collection, analysis, and visualization add-on that enables you to monitor and track your key performance indicators (KPIs)
A metric used to track progress toward a critical business or operational goal, such as meeting SLA deadlines. across a number of numerical and graphical dashboards, such as Workflow Health, Job Execution Trends, and Optimization Insights. User-defined time periods
Dashboards
Workflow Insights distributes its metrics over the following
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Workflow Health: Measures workflow execution performance.
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Job Executions: Measures job execution performance, including statistical rates of success, average duration, and peak-to-average ratio.
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Workflow Distribution: Measures load balancing performance across your environment.
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Workflow Execution Trends: Measures total job executions, changes in execution behavior, and which applications perform the most executions.
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Workflow Trends and Peak Volumes: Analyzes historical peak volumes and the applications that affect these peaks.
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Workflow Execution Trends: Tracks job execution volume, trends, peak execution periods, and the applications that drive the most executions.
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Workflow Order Trends: Tracks job run (order)
A Control-M process that adds your job to the Run Queue of the day, according to automatic or manual scheduling, and which enables the job to execute after it fulfills its prerequisites. volumes, trends, and the applications that drive the most runs. -
Optimization Insights: Exposes workflow and job optimization insights that might affect workflow and job efficiency.
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Workflow Alerts: Monitors various alert metrics, such as job applications, hosts that generate the highest number of alerts, the most common alert messages, and alert trends over time.
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User Actions: Measures user actions that can be automated.
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Definition Updates: Measures job and folder definition additions, updates, and deletions, along with the users who have made these changes.
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SLA Management: Monitors the following SLA service metrics:
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Service health and stability
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Lengthy job executions that might risk unsuccessful service completion times
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Time gaps between consecutive jobs that affect the critical path
A string of event-dependent jobs in a workflow that must successfully complete in a user-defined amount of time to satisfy a service-level agreement (SLA).
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