SMS Alerts Based on Database Queries with Twilio and Postgres

This workflow automates the process of sending SMS alerts using Twilio based on data retrieved from a Postgres database. It begins with a scheduled trigger via a Cron node that executes a query to check for sensor readings that exceed a specified ...

n8n

This workflow automates the process of sending SMS alerts using Twilio based on data retrieved from a Postgres database. It begins with a scheduled trigger via a Cron node that executes a query to check for sensor readings that exceed a specified threshold and have not yet been notified. The workflow processes these results and sends alerts, ensuring timely communication when critical thresholds are crossed.

The integration of Twilio allows for instant notification via SMS, making it ideal for scenarios where immediate awareness is crucial, such as monitoring environmental sensors, server health checks, or any other critical systems. After an alert is sent, the workflow updates the database to mark notifications as sent, preventing duplicate alerts.

This workflow is particularly beneficial for businesses and developers looking to enhance their monitoring systems with automated SMS notifications. Use cases include home automation systems, industrial monitoring, and any application requiring real-time updates based on database changes. By utilizing this automation, organizations can significantly reduce response times to critical events.

The modular nature of the workflow allows for easy customization and scalability. Users can modify the query, SMS content, and even integrate additional nodes to expand functionality, making it a versatile solution for various applications in the Development & IT category, specifically within Backup & Recovery contexts.

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Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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