Monitor connectivity
Monitor your data connection workflows to track progress, verify successful execution, and identify any failures that need attention.
Prerequisites
Before you begin, make sure you have:
- Access to the Workflow center in Atlan
- At least one configured data connection
- Appropriate permissions to view workflow runs
Access workflow monitoring
Monitor your workflow runs in real-time or review historical executions.
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Navigate to the workflow monitoring page:
- During execution: You're automatically redirected within 5 seconds
- Any other time: Click Workflows from the left menu
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Find your specific workflow run:
- Use the date filter (defaults to last 24 hours)
- Filter by status (Running, Success, Failed)
- Search by workflow name or connector type
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Click the workflow run to open the monitoring view.
Review workflow execution
The monitoring interface depends on your connector type. Standard connectors (Snowflake, BigQuery, Databricks) provide enhanced monitoring with AI features, while custom connectors use DAG-based visualization.
- Standard connectors
- Custom connectors
- View the process graph showing Setup → Extract → Transform → Publish steps.
- Hover over each step to see:
- Start and finish times
- Elapsed duration
- Total assets extracted, transformed, updated, and archived
- Toggle between Hour and Day views using the graph toggle.
- Check the Summary tab on the left for:
- Current workflow status
- Overall start and finish times
- Total elapsed time
- Trigger information (who triggered it and how)
- Review the DAG (directed acyclic graph) visualization showing individual tasks.
- Check the Summary tab on the left for:
- Current workflow status
- Start and finish times
- Elapsed duration
- Trigger information (manually or automatically)
- Click individual task nodes to see:
- Task dependencies
- Execution order
- Current state (pending, running, complete, failed)
Identify failures
Atlan makes it simple to understand and resolve issues when a workflow fails.
- Open the failed workflow run.
- Click View Failed tasks in the Summary tab.
- Navigate to the Failed Tasks tab to review specific failures.
- Standard connectors
- Custom connectors
When a workflow fails, you get:
- Failure visualization: The exact step where the error occurred is highlighted
- AI-analyzed errors: Complex system errors translated into clear, human-friendly explanations
- Guided troubleshooting: Step-by-step AI suggestions to resolve issues faster
- Proactive recommendations: Early flagging of possible misconfigurations or permission issues
If AI workflow analysis encounters an error, you can retry the analysis or reach out to Atlan Support.
- Locate failed nodes in the DAG visualization
- Check the Message field for each failed task for error details
- Review task dependencies to identify cascading failures
- Analyze error patterns across multiple failed tasks
Access error logs
View detailed logs for troubleshooting workflow failures.
- Standard connectors
- Custom connectors
- Click View Error Log to see detailed logs for the failed run.
- Logs are displayed directly in the workflow monitoring view for quick access.
- If unable to resolve, click Contact Atlan Support to raise a ticket directly from the interface.
- Click the failed task (activity node) in the DAG visualization.
- Click the Logs button to the right of each failed step.
- Review the log output if available.
Not every failed activity produces a log. Check the Message field for error details when logs aren't available.
See also
- Manage connectivity: Modify workflow configuration and settings
- Workflow FAQ: Common workflow troubleshooting questions