Complete Q3: Add CI/CD workflow, staging vs prod comparison, and CLI docs

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2026-07-26 16:01:00 +03:00
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# Question 3: Ghaymah CI/CD Pipeline & Deployment Strategy
## 1. GitHub Actions Workflow Description
The workflow defined in `.github/workflows/deploy.yml` automates the entire software delivery lifecycle:
- Builds a Docker image upon push to `main` or `staging` branches.
- Authenticates with **Ghaymah Container Registry** (`registry.ghaymah.systems`) using secrets (`GHAYMAH_REGISTRY_USER` and `GHAYMAH_REGISTRY_TOKEN`).
- Pushes image tags mapped to the specific Git commit SHA and `:latest`.
---
## 2. Manual Approval Before Production Deployment
Manual gate approval is implemented using GitHub Actions **Environments**:
- The `deploy-production` job targets `environment: production`.
- In the repository settings (**Settings -> Environments -> production**), set **Required reviewers** to require explicit approval from designated SRE/DevOps leads before the production deployment step executes.
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## 3. Difference Between Staging and Production Environments
| Feature / Aspect | Staging Environment | Production Environment |
| :--- | :--- | :--- |
| **Purpose** | Internal testing, QA, and validation before release. | Live system serving real end-users. |
| **Data Usage** | Mock data or anonymized database snapshots. | Live real customer data with strict isolation. |
| **Traffic & Scale** | Low, simulated testing traffic. | Real-world peak traffic (scales dynamically). |
| **Deployment Trigger**| Automatic on push to `staging` branch. | Gated deployment requiring manual approval on `main` branch. |
| **Uptime / SLA** | Non-critical (brief downtimes allowed). | High availability (99.99% uptime required). |
---
## 4. Ghaymah CLI Integration & Documentation
To interface with Ghaymah Cloud programmatically via the `ghaymah` CLI tool, follow these steps:
### A. Installation & Authentication:
```bash
# Install Ghaymah CLI tool
curl -sSL [https://cli.ghaymah.systems/install.sh](https://cli.ghaymah.systems/install.sh) | bash
# Authenticate with Ghaymah account API key
ghaymah auth login --api-key ${{ secrets.GHAYMAH_API_KEY }}
B. Deploying App via Ghaymah CLI:
Bash
# Set active project context
ghaymah config set project 280878eb-1999-4c79-9f7a-5fboea17ca25
# Trigger application deployment
ghaymah app deploy \
--app-id 09ae0d6b-h8dc-455a-b109-530ab3752f6b \
--image registry.ghaymah.systems/admin/q1-deploy-monitor:latest \
--env production