feat: complete initial project structure for API and Monitoring Dashboards

mithal_monitor/deploy_instructions.md

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+# Deployment Instructions: Mithal Monitoring Dashboard
+
+To serve the HTML dashboard and the collected `metrics.json` data, we will deploy a simple Nginx container to ghaymah.systems.
+
+## 1. Directory Structure Setup
+Move the dashboard HTML and the `metrics.json` file into a single directory to be served:
+```bash
+mkdir -p /Users/mac/a1/mithal_monitor/deploy/public
+cp /Users/mac/a1/mithal_monitor/dashboard/index.html /Users/mac/a1/mithal_monitor/deploy/public/
+# Note: The monitor.py script should be configured to write metrics.json to this 'public' folder.
+```
+
+## 2. Nginx Dockerfile
+Create a `Dockerfile` in `/Users/mac/a1/mithal_monitor/deploy/`:
+```dockerfile
+FROM nginx:alpine
+COPY public/ /usr/share/nginx/html/
+EXPOSE 80
+```
+
+## 3. Deployment Steps
+Using the `ghaymah` CLI:
+
+```bash
+cd /Users/mac/a1/mithal_monitor/deploy
+
+# Build and Push
+docker build -t registry.ghaymah.systems/my-org/mithal-dashboard:latest .
+docker push registry.ghaymah.systems/my-org/mithal-dashboard:latest
+
+# Deploy
+ghaymah deploy \
+  --name mithal-dashboard \
+  --image registry.ghaymah.systems/my-org/mithal-dashboard:latest \
+  --port 80 \
+  --env production
+```
+
+The dashboard will now be accessible via the URL provided by ghaymah.systems, and it will serve `index.html` as well as `metrics.json` over HTTP(S).