Insights is currently in beta. Share your feedback with your Customer Success Manager (CSM) to help us improve.
The Workflow Details tab provides deep-dive analytics for individual workflows, enabling detailed performance analysis and execution pattern identification for a specific workflow.
Overview
The Workflow Details tab is organized into sections:
- Global Filters (top): Control environment and time range scope
- Workflow Selector: Dropdown to select which workflow to analyze
- Root Jobs / All Jobs Toggle: Switch between root jobs only or all jobs (including children) views
- At-a-Glance Metrics: Four workflow-specific metrics
- Execution Patterns: Job Highlights table showing individual job executions
- Key Metrics: Four visualizations showing execution trends and performance
At-a-Glance Metrics
The Workflow Details tab displays at-a-glance metrics filtered to the selected workflow only. These four metrics work exactly like the Summary Dashboard metrics but show only this workflow's data. See At-a-glance metrics for detailed explanations of each metric.
Execution Patterns: Job Highlights
A table showing individual job executions for the selected workflow, helping identify specific problematic or successful runs.
Table structure
| Column | Description |
|---|---|
| Job ID | Unique identifier for the job (clickable link to Job Viewer) |
| Status | Job completion status |
| Start Time | When the job began execution |
| Elapsed Time | How long the job took to complete |
| Time Saved | Manual effort avoided by this specific job execution |
Common use cases
Identify problem patterns:
- Sort by Status to see all canceled jobs
- Sort by Elapsed Time to find unusually slow executions
- Click Job IDs to investigate specific failures in Job Viewer
Verify successful executions:
- Confirm jobs are completing as expected
- Check that Time Saved is being tracked
- Validate execution timing patterns
Analyze specific time periods:
- Use Start Time to focus on jobs during specific incidents
- Identify whether issues occur at particular times
Key Metrics
Four visualizations provide trend analysis and performance insights for the selected workflow.
Job Execution Trends
A stacked bar chart showing job execution volume over time, split by completion status (completed versus canceled).
What it shows:
- X-axis: Time periods (granularity adjusts based on selected time range)
- Y-axis: Number of jobs executed
- Green bars: Completed jobs
- Grey bars: Canceled jobs
- Total bar height: Total number of job executions for the selected time period
Time granularity:
The chart automatically adjusts time bucket granularity based on your selected time range:
| Time Range Selected | Chart Granularity |
|---|---|
| Last 7 days | Daily |
| Last 30 days | Daily |
| Last 3 months | Weekly |
| Last 6 months | Weekly |
Use this chart to:
- Identify reliability trends: Growing red bars indicate increasing cancellations
- Spot volume changes: Sudden drops may signal disabled schedules or workflow issues
- Correlate with incidents: Match cancellation spikes to known system events
- Validate fixes: Confirm cancellations decrease after workflow updates
Example interpretation
- Steady green bars = consistent, reliable execution
- Increasing grey bars = growing cancellation problem requiring investigation
- Decreasing total height = declining workflow usage
Job Performance
A line graph displaying P50 and P90 execution times over the selected time period.
What it shows:
- X-axis: Time periods (granularity adjusts based on selected time range)
- Y-axis: Execution time (ms)
- Blue line: P50 (median) runtime - typical performance
- Orange line: P90 runtime - 90th percentile performance
Use this chart to:
- Identify performance degradation: Lines trending upward indicate slowing execution
- Assess consistency: Large gap between P50 and P90 shows high variability
- Validate optimizations: Lines trending downward confirm improvements
- Set SLAs: P90 line helps establish realistic performance expectations
Example interpretation
Stable performance:
- Both lines flat and close together
- Indicates consistent, predictable execution
Gradual degradation:
- Both lines trending upward over time
- May indicate growing data volumes, resource constraints, or performance issues
High variability:
- Large gap between P50 and P90
- Some executions taking much longer than typical - investigate outliers
Recent spike:
- Sudden jump in both lines
- Correlate with recent changes, increased load, or infrastructure issues
Task Performance
A bar graph showing P50 (median) runtime for each individual task in the selected workflow, identifying which tasks take the longest to execute.
What it shows:
- Y-axis: P50 runtime (median execution time for each task)
- X-axis: Task names
- Bar length: Proportional to task execution time
Use this chart to:
- Identify bottlenecks: Longest bars show which tasks slow down the workflow
- Prioritize optimization: Focus on high-runtime tasks for maximum impact
- Understand workflow composition: See how time is distributed across tasks
- Validate task-level changes: Confirm individual task improvements
Customize your view
Filter by task type (select/deselect to include):
- Manual: Manually triggered tasks
- Automatic: Automatically executed tasks
- Operations: Operational tasks
- Adapters: Adapter tasks
- Applications: Application tasks
- Other: Other task types
You can also select or deselect specific individual tasks to focus your analysis.
Example interpretation
- One task significantly longer than others = clear bottleneck candidate
- Many tasks with similar runtime = well-balanced workflow
- First/last tasks taking longest = potential I/O or connection overhead
Daily Job Activity
A heatmap showing job executions by day and hour. Darker colors indicate more jobs.
What it shows:
- X-axis: Hours of the day
- Y-axis: Days of the week (Monday-Sunday)
- Color intensity: Darker = more jobs executed during that day/hour
- Each cell: Number of jobs that executed during that specific day and hour
Use this heatmap to:
- Verify scheduling: Confirm workflow runs when expected
- Identify patterns: Understand whether this is scheduled, manual, or event-triggered
- Plan maintenance: Find low-activity times to update the workflow
- Spot anomalies: Unexpected execution times may indicate issues
Common patterns to look for
Scheduled workflow:
- Dark vertical band at specific hour(s) across multiple days
- Example: Nightly report running at 2 AM every day
Business hours workflow:
- Dark cells during work hours (e.g., 9 AM - 5 PM, Monday-Friday)
- Indicates manual triggering or business-hours events
24/7 automated workflow:
- Consistent color intensity across all hours and days
- Indicates continuous automation or frequent event triggering
On-demand workflow:
- Scattered dark cells with no clear pattern
- Indicates manual or sporadic event-based triggering