Real-time IoT incident management with Jira & Slack technician alerts
Webhook from IoT Devices → Jira Maintenance Ticket → Slack Factory Alert This workflow automates predictive maintenance by receiving IoT machine-failure webhooks, creating Jira maintenance tickets, checking technician...
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Webhook from IoT Devices → Jira Maintenance Ticket → Slack Factory Alert
This workflow automates predictive maintenance by receiving IoT machine-failure webhooks, creating Jira maintenance tickets, checking technician availability in Slack and sending the alert to the correct Slack channel. If an active technician is available, the system notifies the designated technician channel; if not, it escalates automatically to your chosen emergency/escalation channel.
⚡ Quick Implementation: Start Using in 10 Seconds
1. Import the workflow JSON into n8n. 2. Add Slack API credentials (with all required scopes). 3. Add Jira Cloud credentials. 4. Select Slack channels for: Technician alerts Emergency/escalation alerts 5. Deploy the webhook URL to your IoT device. 6. Run a test event.
What It Does
This workflow implements a real-time predictive maintenance automation loop. An IoT device sends machine data — such as temperature, vibration and timestamps — to an n8n webhook whenever a potential failure is detected. The workflow immediately evaluates whether the values exceed a defined safety threshold.
If a failure condition is detected, a Jira maintenance ticket is automatically created with all relevant machine information. The workflow then gathers all technicians from your selected Slack channel and checks each technician’s presence status in real time.
A built-in decision engine chooses the first available technician. If someone is active, the workflow sends a maintenance alert to your technician channel. If no technicians are available, the workflow escalates the alert to your chosen emergency channel to avoid operational downtime.