kindly see the code and then initialize the db :)

PROJECT: Production Deployment Architecture - Government Token & Appointment Management System

Hosted on Microsoft Azure (Production VM)

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1. Domain & DNS

Domain Provider: name.com (via GitHub Student Developer Pack) -> a free .page domain

DNS Management from Cloudflare A Record mapping to Azure Public IP in Cloudflare only.

Flow:
User
↓
generatetoken.page
↓
Cloudflare DNS
↓
Azure Public IP
↓
Azure VM
↓
Node.js Server

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2. Cloud Hosting – Microsoft Azure - Azure Virtual Machine

Full control over backend Premium SSD support

Azure Configuration:

Component	Value
VM Size	B2als_v2
Category	General Purpose
vCPUs	2
RAM	4 GiB
Max Data Disks	4
Max IOPS	3750
Local Storage	N/A
Disk Type	Premium SSD Supported
Monthly Cost	~$17.96
Deployment	GitHub → Azure

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3. Deployment Pipeline

CI/CD flow:

Local Development ↓ Push to GitHub Repository ↓ GitHub Actions / Manual Pull to VM ↓ Build on Production VM ↓ Live Production System

• Deployment to Azure VM
• Process manager (PM2 / Node runtime)

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4. Database Layer

Database Used -> SQLite (hosted inside Azure VM)

Record Size Calculation

≈ 0.24 KB per record

Real Production Growth

At ~300 tokens per day:

300 × 0.24 KB ≈ 72 KB/daily

≈ 2–3 MB/month

≈ 25–30 MB/year

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5. Storage Architecture

Storage Type	Purpose
Premium SSD (Azure Disk)	Database persistence
VM File System	Runtime files

VM supports:

4 data disks 3750 max IOPS Premium SSD tier

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6. Security Architecture

Transport Layer

HTTPS enabled TLS encryption

Infrastructure Security

Azure Network Security Group Restricted inbound ports SSH secured access

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7. Full Tech Stack

Frontend

HTML5 CSS3 Vanilla JavaScript Chart.js htmlt2pdf.bundle.min.js Fetch API

Backend

Node.js Express.js REST APIs SQLite Transaction handling

Cloud

Azure Virtual Machine (B2als_v2) GitHub Integration name.com Domain HTTPS SSL

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8. Storage & Resource Utilization

Resource	Usage
Database Growth	~25 MB/year
Static Assets	< 20 MB
RAM Usage	~500–800 MB typical
CPU Load	Low (300 tokens/day)
Disk Required	< 1 GB for multiple years
OUR VM (4GB RAM) is comfortably provisioned.

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9. Scalability Potential

Current Load:

~300 tokens/day ≈ 12–15 tokens/hour

VM Capacity:

2 vCPU + 4GB RAM can handle:

-> 2000+ requests/day without scaling

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