Untagged Resource Finder & Tagger
Daily: find all untagged resources; suggest owner/cost-center/environment based on resource name patterns; enable auto-tagging for future resources.
Overview
**What it does**: Daily schedule → scan all cloud resources (AWS EC2, RDS, S3, etc.) → filter untagged → code analyzes resource names (e.g., "prod-api-db-01" → infer env=prod, service=api) → LLM suggests tags: owner (team lead email), cost-center (engineering, marketing), environment (prod, staging) → offer to auto-apply or notify team for manual review → Slack to #devops with untagged resource list and suggested tags. **Setup (4 steps)**: 1. Connect cloud provider: AWS, GCP, Azure APIs 2. Define tagging rules: name patterns → suggested tags (prod-* → env=prod, sec-* → team=security) 3. Set auto-apply threshold: confidence level (default: only apply if high confidence) 4. Configure Slack channel: #devops **Apps/nodes**: Schedule, HTTP request (resource list API), code node (name analysis), Claude/OpenAI (tag suggestion), HTTP request (tag API), Slack. **Credentials required**: Cloud tagging API key, OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 10 minutes. **Business outcome**: Resource discovery ↑ improved, cost allocation ↑ accurate, governance ↑ frictionless.
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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