Block 1 - Error Trigger
- Type / Role
- n8n-nodes-base.errorTrigger - errorTrigger
- Config choices
- Version 1
Automated error monitoring and reporting system using data tables This template helps you monitor workflow failures by automatically logging every error to a data table, then sending periodic summa...
n8n-nodes-base.errortrigger, n8n-nodes-base.filter, n8n-nodes-base.aggregate, n8n-nodes-base.timesaved, n8n-nodes-base.splitout, n8n-nodes-base.datatable, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Harshal Patil.
Original n8n.io sourceAutomated error monitoring and reporting system using data tables
This template helps you monitor workflow failures by automatically logging every error to a data table, then sending periodic summaries via email, Slack, Microsoft Teams, or Discord—so you catch issues before they impact your operations.
The template uses two synchronized workflows to create a complete error monitoring system:
Capture errors from all workflows → Store them in one centralized table → Get daily/weekly summaries in Slack, email, or Teams
Your reports will include:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Automated error monitoring and reporting system using data tables |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | DevOps, AI Summarization |
| Author | Harshal Patil |
| Published | 15 Jan 2026 |
Use the JSON export at /data/workflows/12724/12724.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Automated error monitoring and reporting system using data tables This template helps you monitor workflow failures by automatically logging every error to a data table, then sending periodic summa...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, AI Summarization use case.