Cloud Spend Anomaly Alert
Daily spend check: if AWS/GCP/Azure cost is >50% above 7-day average, LLM diagnoses (new instance, expensive query, idle resource) and suggests cost recovery.
Overview
**What it does**: Daily schedule → fetch cloud daily spend (AWS Billing API, GCP BigQuery billing exports, Azure Cost Management) → detect anomaly: if today > 50% above 7-day rolling avg → LLM diagnoses (which services cost most, likely cause: new EC2 deployment, expensive RDS, unoptimized queries) → Slack to #finops with alert and recovery steps. **Setup (4 steps)**: 1. Connect cloud provider: AWS (Billing API), GCP (BigQuery exports), Azure (Cost Management API) 2. Set cost threshold: default 50% above baseline 3. Configure Slack channel: #finops 4. Test: spin up expensive resource; verify cost spike detected **Apps/nodes**: Schedule, HTTP request (billing API), code node (anomaly math), Claude/OpenAI (diagnosis), Slack. **Credentials required**: Cloud billing credentials, OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: Cost spikes caught daily (not month-end surprise) → FinOps visibility ↑, waste ↓, budget ↑ predictable.
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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