GreenOps CLI

Open-source carbon footprint linting for AWS, Azure, and GCP CI/CD pipelines.

Analyses Terraform plans for Scope 2 operational, Scope 3 embodied, and water consumption impact across all three major cloud providers. Posts actionable recommendations directly on GitHub pull requests. Zero network, zero dependencies, MIT-licensed methodology.

💬 Live PR Comment

| Metric | Monthly Total | |---|---| | 🔋 Scope 2 — Operational CO2e | 7.06kg | | 🏭 Scope 3 — Embodied CO2e | 1.88kg | | 🌍 Total Lifecycle CO2e | 8.93kg | | 💧 Water Consumption | 7.5L | | 💰 Infrastructure Cost | $126.29/month |

Potential Scope 2 Savings: -6.90kg CO2e/month (97.7%) | -$5.11/month 💡 Found 2 optimization recommendations.

Resource Breakdown

| Resource | Type | Region | Scope 2 CO2e | Scope 3 CO2e | Water | Cost/mo | Action | |---|---|---|---|---|---|---|---| | aws_instance.web | m5.large | us-east-1 | 4.31kg | 1.04kg | 4.6L | $70.08 | 💡 View Recommendation | | aws_instance.worker | m6g.large | us-east-1 | 2.74kg | 0.83kg | 2.9L | $56.21 | 💡 View Recommendation |

Recommendations

aws_instance.web

• Current: m5.large in us-east-1
• Suggested: m5.large in eu-north-1
• Scope 2 Impact: -4.21kg CO2e/month | +$2.92/month
• Rationale: Moving m5.large from us-east-1 to Europe (Stockholm) (eu-north-1) reduces grid carbon intensity from 384.5g to 8.8g CO2e/kWh, saving 4215g CO2e/month. Water consumption also decreases by 16.5L/month.

☁️ Provider Coverage

| Provider | Regions | Instances | Resource Types | |---|---|---|---| | AWS | 14 | 40 | aws_instance, aws_db_instance | | Azure | 17 | 16 | azurerm_linux_virtual_machine, azurerm_windows_virtual_machine | | GCP | 15 | 15 | google_compute_instance |

Run greenops-cli --coverage for the full instance and region list per provider.

🚀 Quickstart

Add to .github/workflows/greenops.yml:

name: GreenOps PR Analysis
on:
  pull_request:
    paths: ['**/*.tf']

jobs:
  carbon-lint:
    runs-on: ubuntu-latest
    permissions:
      pull-requests: write
    steps:
      - uses: actions/checkout@v4

      - name: Generate Terraform Plan
        run: |
          terraform init
          terraform plan -out=tfplan
          terraform show -json tfplan > plan.json

      - name: GreenOps Carbon Lint
        uses: omrdev1/greenops-cli@v0
        with:
          plan-file: plan.json
          github-token: ${{ secrets.GITHUB_TOKEN }}

Works with AWS, Azure, and GCP plans — provider is detected automatically from resource types.

Inline Terraform Suggestions

      - name: GreenOps Carbon Lint
        uses: omrdev1/greenops-cli@v0
        with:
          plan-file: plan.json
          github-token: ${{ secrets.GITHUB_TOKEN }}
          post-suggestions: true

When enabled, GreenOps posts an inline suggestion comment on the instance_type/size/machine_type line — the developer clicks Commit suggestion and the change is applied.

Policy Budgets

Add .greenops.yml to your repository root:

version: 1
budgets:
  max_pr_co2e_increase_kg: 10
  max_pr_cost_increase_usd: 500
  max_total_co2e_kg: 50
fail_on_violation: true

All fields are optional. fail_on_violation: true exits with code 1, blocking merge.

📦 Install

GitHub Action (recommended for CI):

uses: omrdev1/greenops-cli@v0

npm:

npm install -g greenops-cli
greenops-cli diff plan.json --format table

Binary (no Node.js required):

# macOS Apple Silicon
curl -L https://github.com/omrdev1/greenops-cli/releases/latest/download/greenops-cli-darwin-arm64 -o greenops-cli
chmod +x greenops-cli && ./greenops-cli --version

Binaries available for linux-x64, linux-arm64, darwin-arm64, darwin-x64, windows-x64.

🧮 How the Maths Works

All three environmental dimensions use the same formulas regardless of cloud provider:

Scope 2 — Operational (CPU power × grid intensity):

W = W_idle + (W_max - W_idle) × utilization    [CCF linear interpolation]
energy_kwh = W × PUE × 730h / 1000
co2e_grams = energy_kwh × grid_intensity_gco2e_per_kwh

Scope 3 — Embodied (hardware manufacturing):

embodied_gco2e/month = (1,200,000g / 35,040h / 48 vCPUs) × vcpus × 730h
                       × 0.80  [ARM64 discount — Graviton, Ampere, T2A]

Water consumption (data centre cooling):

water_litres = (W × 730h / 1000) × WUE_litres_per_kwh

PUE differs by provider: AWS 1.13, Azure 1.125, GCP 1.10. All other coefficients are from CCF v3, Electricity Maps 2024, and provider sustainability reports. Full methodology with worked examples in METHODOLOGY.md.

🛑 What it doesn't cover

• AWS Lambda, ECS, EKS, Auto Scaling Groups (flagged as unsupported in output)
• Azure VMSS, AKS node groups, Function Apps (flagged)
• GCP GKE node pools, Cloud Functions (flagged)
• Memory power draw (tracked in factors.json, excluded from calculation — consistent with CCF baseline)
• Real-time marginal grid intensity (annual averages used)
• Multi-aliased Terraform provider configs may skip with known_after_apply

🧪 E2E Testing

The fixtures/ directory contains Terraform plan files for all three providers. The .github/workflows/greenops-e2e.yml workflow runs all three on every PR.

npm run build

# AWS
node dist/index.cjs diff fixtures/tfplan.e2e.json --format table

# Azure
node dist/index.cjs diff fixtures/tfplan.azure.e2e.json --format table

# GCP
node dist/index.cjs diff fixtures/tfplan.gcp.e2e.json --format table

🤝 Contributing

See CONTRIBUTING.md to add instance types, expand regional coverage, or add a new cloud provider. Coverage extensions are the fastest PRs to merge.