Integration
PostgreSQL to Slack Alerts
Get real-time Slack notifications when your PostgreSQL data changes
Monitor your PostgreSQL database and receive instant Slack alerts when critical conditions are met. Whether you need to know when inventory drops below threshold, a new high-value order arrives, or a user churns, this integration keeps your team informed without anyone writing a single query.
Set up conditional monitors on any table or view in your PostgreSQL database. AI for Database evaluates your conditions on a schedule you define and posts rich, formatted messages to the Slack channels your team already uses. Include dynamic data in every alert so your team has the context they need to act immediately.
Setup guide
Connect your PostgreSQL database
Add your PostgreSQL connection string or enter host, port, database name, and credentials. AI for Database connects with read-only access by default.
Install the Slack integration
Click "Add to Slack" to authorize AI for Database to post messages to your workspace. Select the channels you want to use for alerts.
Define your alert condition
Describe the condition in plain English (e.g., "Alert me when any product has stock below 10 units") or write a SQL query that returns rows when the condition is true.
Configure the schedule
Set how frequently the condition is checked: every minute, every 5 minutes, hourly, or on a custom cron schedule.
Customize the Slack message
Design the message template. Include dynamic fields from the query result like product name, current stock, or order value.
Test and activate
Run a test to verify the alert fires correctly, review the Slack message formatting, then activate for continuous monitoring.
Configuration options
check_intervalHow often the condition is evaluated against your database.
Example: */5 * * * * (every 5 minutes)
slack_channelThe Slack channel where alerts are posted.
Example: #ops-alerts
alert_thresholdThe threshold value that triggers the alert.
Example: stock_quantity < 10
cooldown_periodMinimum time between repeated alerts for the same condition.
Example: 30m (30 minutes)
message_templateThe Slack message format with dynamic field placeholders.
Example: ⚠️ Low stock: {{product_name}} has only {{stock_quantity}} units left
Example workflows
Low inventory alert
Notify the ops channel when any product drops below its reorder point. Include product name, current stock, and reorder quantity.
High-value order notification
Alert the sales team when an order exceeding $10,000 is placed. Include customer name, order total, and items.
Failed payment monitor
Post to #billing when a payment fails. Include customer email, amount, and failure reason so support can follow up.
New user signup digest
Send a summary of new signups every hour to #growth with user count, top referral sources, and plan breakdown.
Troubleshooting
Alert is not firing
Verify your SQL condition returns at least one row when the condition is true. Check the monitor schedule is active and the cooldown period has elapsed.
Slack message is not formatted correctly
Ensure your template placeholders match the column names in your query result. Use double curly braces: {{column_name}}.
Connection timeout errors
Check that your PostgreSQL server allows connections from our IP range. Verify the connection string and ensure SSL is configured if required.
Too many duplicate alerts
Increase the cooldown period or add a deduplication key so the same row does not trigger repeated alerts.