Cloud Env Marker - AWS/GCP/Azure Console Color Coding

Cloud Env Marker — Color-code your AWS, GCP & Azure cloud console headers by environment

Instantly identify production, staging, and development environments across all major cloud providers. Cloud Env Marker adds a colored header bar to your AWS Console, GCP Console, and Azure Portal so you never accidentally operate in the wrong environment.

HOW IT WORKS
1. Install the extension
2. Define rules: match your AWS account IDs, GCP project names, or Azure subscription patterns
3. Each matched environment gets a colored header (e.g., red for production, green for dev)
4. Or use Quick Presets to get started in seconds — no manual configuration needed

KEY FEATURES
- Multi-cloud support: AWS Console, Google Cloud Console, and Azure Portal — all in one extension
- Flexible pattern matching: contains, starts-with, or regex for account IDs, project names, and subscriptions
- Custom colors: pick any color for each environment to create your own color coding scheme
- Quick presets: one-click setup for production / staging / dev environment indicators
- Team sharing: export and import rule sets as JSON for DevOps team standardization (Pro)
- Lightweight: runs entirely in your browser with no background network requests except license validation and anonymous analytics

WHY CLOUD ENV MARKER?
Unlike single-cloud extensions (AWS-only or GCP-only color changers), Cloud Env Marker is the only multi-cloud environment indicator that supports AWS, GCP, and Azure in a single extension. Stop installing separate header color changers for each cloud provider.

FREE vs PRO
- Free: AWS + GCP console color-coding with up to 3 rules
- Pro: Azure Portal support + unlimited rules + team rule export/import

PRIVACY
- No browsing history collected
- No personal data sent to external servers
- Only anonymous usage analytics (GA4) and license validation (Polar)
- All rule data stays in your browser's local storage

Built for DevOps engineers, SREs, and cloud practitioners who need to prevent production mistakes across multiple cloud environments.