Cloud Job Failure Triage
When Lambda, K8s job, or Cloud Run fails, LLM reads execution logs and error messages, identifies root cause (timeout, permission, missing resource), suggests recovery step — posted to #ops-alerts instantly.
Overview
**What it does**: Webhook (Lambda/K8s failure event) → fetch execution logs → LLM analyzes: which job failed, why (timeout, IAM denied, resource exhausted, dependency missing), impact (downstream jobs blocked) → Slack to #ops-alerts with diagnosis and retry recommendation. **Setup (4 steps)**: 1. Configure cloud job webhook: Lambda/K8s failure event → n8n webhook URL 2. Add Claude/OpenAI credentials: for log analysis 3. Set Slack channel: #ops-alerts 4. Test: trigger job failure; verify diagnosis in Slack within 20 seconds **Apps/nodes**: Webhook, HTTP request (cloud logs API), Claude/OpenAI, Slack. **Credentials required**: AWS/GCP/Azure job service API access, OpenAI account, Slack workspace. **Difficulty**: Easy | **Setup time**: 6 minutes. **Business outcome**: Platform engineers spend 90% less time reading logs → MTTR ↓ 60%, job reliability ↑, SLAs met.
What's included
Inside this workflow
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
Frequently Asked Questions
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Are the credentials included in the JSON file?
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What if something breaks after I import it?
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Will the workflow receive updates?
Do I need n8n Pro or a paid plan?
Can I ask for a custom workflow?
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