Cloud Orchestrator Monitor (K8s, Lambda, Cloud Run)
Monitor cloud job execution (K8s, Lambda, Cloud Run); on failure, fetch logs, LLM diagnoses root cause (timeout, permission, resource) — alert instantly.
Overview
**What it does**: Webhook (K8s job/Lambda failure event) → extract job_id/run_id/status → IF failed → fetch job logs from cloud provider API → LLM analyzes error type, suggests remediation → Slack alert with diagnosis and logs link. **Setup (4 steps)**: 1. Connect cloud orchestrator: K8s (API), Lambda (CloudWatch Logs), Cloud Run (Cloud Logging) 2. Add cloud credentials: AWS/GCP/Azure service account or role 3. Configure Slack channel: set target channel (default: #cloud-alerts) 4. Test: trigger job failure; verify diagnosis in Slack **Apps/nodes**: Webhook, cloud provider API, Slack. **Credentials required**: Cloud orchestrator account credentials, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: Engineers see job failure diagnosis instantly, MTTR ↓ 70%, incidents resolved faster.
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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