Block 1 - Receive IoT Machine Alert
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
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,...
n8n-nodes-base.webhook, n8n-nodes-base.if, n8n-nodes-base.jira, n8n-nodes-base.slack, n8n-nodes-base.set, n8n-nodes-base.splitinbatches, n8n-nodes-base.code, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by WeblineIndia.
Original n8n.io sourceThis 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.
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.
This eliminates manual monitoring, accelerates response times and ensures no incident goes unnoticed — even if the team is unavailable.
This workflow is ideal for:
You will need:
users:readusers:read.presencechannels:readchat:writemachineIdtemperaturevibrationtimestampn8n → Workflows → Import from File → Select JSON.users:read, users:read.presence, channels:read, chat:write) and reconnect credentials.This setup allows real-time monitoring, automated ticket creation and flexible escalation — reducing manual intervention and ensuring fast maintenance response.
| Issue | Possible Cause | Solution |
|---|---|---|
| Webhook returns no data | Wrong endpoint or method | Use POST + correct URL |
| Slack presence returns error | Missing Slack scopes | Add users:read.presence |
| Jira ticket not created | Invalid project key or credentials | Reconfigure Jira API credentials |
| All technicians show offline | Wrong channel or IDs | Ensure correct channel members |
| Emergency alert not triggered | Code node returning incorrect logic | Test code with all technicians set to “away” |
| Slack message fails | Wrong channel ID | Replace with correct Slack channel |
If you need help customizing this workflow, adding new automation features, connecting additional systems or building enterprise IoT maintenance solutions, our n8n automation development team at WeblineIndia team can help.
We can assist with:
Reach out anytime for support or enhancements.
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 | Real-time IoT incident management with Jira & Slack technician alerts |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Engineering |
| Author | WeblineIndia |
| Published | 19 Dec 2025 |
Use the JSON export at /data/workflows/11946/11946.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.
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,...
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 Engineering use case.