n8n Dashboard

This dashboard offers a clear view into n8n Cloud usage and performance. It highlights key metrics such as workflow error rates, node error rates, execution volumes, and latency trends. Teams can track node type distributions, workflow execution patterns, and detailed error records to better understand adoption patterns and optimize reliability and efficiency.

Dashboard Preview

What This Dashboard Monitors

This dashboard tracks critical performance metrics for your n8n Cloud workflows using OpenTelemetry to help you:

• Track Workflow Reliability: Monitor workflow error rates to identify reliability issues and ensure your automation workflows maintain a smooth, dependable experience.
• Analyze Node Performance: Track individual node error rates and execution patterns to pinpoint which specific operations or integrations are causing issues.
• Monitor Execution Patterns: Observe workflow execution volumes over time to spot demand patterns, identify high-traffic windows, and plan infrastructure or cost controls accordingly.
• Ensure Responsiveness: Track P95 execution duration to surface potential slowdowns, spikes, or regressions and maintain consistent workflow performance.
• Understand Node Usage: See which node types are most frequently used and how they perform to optimize your workflow designs.

Metrics Included

Workflow Reliability

• Workflow Error Rate: Tracks the percentage of n8n workflows that return errors, providing a quick way to identify reliability issues and ensure your applications maintain a smooth, dependable experience.
• Node Error Rate: Calculates the percentage of node executions that encounter errors, helping you pinpoint which specific operations or integrations are causing issues.

Execution Patterns

• Requests Over Time: Captures the volume of workflow executions in n8n over time, letting you see demand patterns, identify high-traffic windows, and plan infrastructure or cost controls accordingly.
• Request Duration (P95 Over Time): Measures the 95th percentile duration of workflow executions over time, surfacing potential slowdowns, spikes, or regressions to ensure a consistent developer and user experience.

Detailed Analysis

• Error Records: Logs all recorded errors, and when clicking on an individual record, you are sent to the trace where the error originated for detailed investigation.
• Nodes: Displays all called node types alongside their execution counts and average durations, helping you understand which node types are most frequently used and how they perform for optimization.
• Workflows: Comprehensive view of all workflow executions showing each workflow's name, unique ID, execution status (success or error), and execution duration.