Cloud Cost Anomaly Alert
Daily spend check: if today's cost is >50% above 7-day average, LLM diagnoses cause (new resources, traffic spike, misconfiguration) and suggests recovery steps.
Overview
**What it does**: Daily schedule → fetch cloud provider daily spend (AWS Cost Explorer, Azure Cost Management, GCP Billing) → code detects anomaly: if today >50% above 7-day rolling avg → LLM explains (new resources deployed, scale-up event, rogue instances, misconfiguration), quantifies ±$ impact, suggests recovery → Slack to #cost-alerts. **Setup (4 steps)**: 1. Connect cloud provider: AWS (Cost Explorer), Azure (Cost Management), GCP (Billing API), or custom 2. Set anomaly threshold: default 50% above baseline 3. Configure Slack channel: #cost-alerts 4. Test: manually inflate spend in test account; verify alert triggers **Apps/nodes**: Schedule, HTTP request (billing API), code node (anomaly detection), OpenAI (diagnosis), Slack. **Credentials required**: Cloud provider API key (cost/billing read access), OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 8 minutes. **Business outcome**: Catch cost spikes early (not at month-end shock) → spend surprises ↓ 100%, finance headcount ↓ (no manual billing audits), CFO trust ↑.
What's included
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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