Block 1 - Function
- Type / Role
- n8n-nodes-base.function - function
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Objective In industry and production sometimes machine data is available in databases. That might be sensor data like temperature or pressure or just binary information. In this sample flow reads m...
n8n-nodes-base.function, n8n-nodes-base.notiontrigger, n8n-nodes-base.webhook, n8n-nodes-base.notion, n8n-nodes-base.interval, n8n-nodes-base.signl4
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ron.
Original n8n.io sourceIn industry and production sometimes machine data is available in databases. That might be sensor data like temperature or pressure or just binary information. In this sample flow reads machine data and sends an alert to your SIGNL4 team when the machine is down. When the machine is up again the alert in SIGNL4 will get closed automatically.
We simulate the machine data using a Notion table.
When we un-check the Up box we simulate a machine-down event. In certain intervals n8n checks the database for down items. If such an item has been found an alert is send using SIGNL4 and the item in Notion is updates (in order not to read it again).
Status updates from SIGNL4 (acknowledgement, close, annotation, escalation, etc.) are received via webhook and we update the Notion item accordingly.
This is how the alert looks like in the SIGNL4 app.
The flow can be easily adapted to other database monitoring scenarios.
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 | Database alerts with Notion and SIGNL4 |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | DevOps |
| Author | Ron |
| Published | 10 Jun 2021 |
Use the JSON export at /data/workflows/1122/1122.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.
Objective In industry and production sometimes machine data is available in databases. That might be sensor data like temperature or pressure or just binary information. In this sample flow reads m...
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 use case.