Deploying a Python Application on Azure vs Nimbuz

Modern backend applications demand deployment solutions that are efficient, scalable, and simple to operate. Once a Python application is developed, selecting the right deployment platform becomes essential for ensuring stability, performance, and ease of maintenance.

In this article, we explore two widely used deployment approaches:

• Hosting applications on a Virtual Machine using Microsoft Azure
• Deploying applications through a Platform as a Service (PaaS) like Nimbuz

Deploy a Python Application on Azure Virtual Machine

Azure Virtual Machines give you complete control over the server environment, but you are responsible for setting up the runtime, installing dependencies, and managing the server configuration manually.

Step 1: Create an Azure Virtual Machine

• Go to Azure Portal
• Click Create Resource → Virtual Machine
• Configure:OS: Ubuntu (recommended)Size: Basic (for testing)Authentication: SSH / Password
• Click Create

Step 2: Connect to the Virtual Machine

ssh username@your-vm-ip

Step 3: Install Required Software

Update system:

sudo apt update && sudo apt upgrade -y

Install Python & pip:

sudo apt install python3 python3-pip -y

Install virtual environment:

sudo apt install python3-venv -y

Step 4: Upload Your Python Application

Using Git:

git clone https://github.com/your-repo.git
cd your-project

Step 5: Setup Python Environment

Create virtual environment:

python3 -m venv venv
source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Step 6: Run Application Server

For example, using Flask:

python app.py

Or using Gunicorn (recommended for production):

pip install gunicorn
gunicorn app:app

Step 7: Install and Configure Nginx

Install Nginx:

sudo apt install nginx -y

Configure reverse proxy:

sudo nano /etc/nginx/sites-available/default

Update:

server {
    listen 80;

    location / {
        proxy_pass http://127.0.0.1:8000;
    }
}

Restart Nginx:

sudo systemctl restart nginx

Step 8: Open Port in Azure

• Go to VM → Networking
• Add inbound rule:Port: 80Protocol: TCPAction: Allow

Access:

http://your-vm-ip

Step 9: (Optional) Enable HTTPS

sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx

Deploy a Python Application on Nimbuz

Nimbuz is a Platform as a Service that abstracts infrastructure management, enabling automated provisioning, build pipelines, and networking configuration for faster deployments.

Here’s a simple, step by step guide to get your app running on Nimbuz:
Nimbuz supports various databases such as MySQL, PostgreSQL, MongoDB, and Mssql.
If you are using a database, refer to this CloudBeaver blog to learn how to set it up and use it.

Step 1: Go to Applications

• Log in or sign up on Nimbuz platform .
• Navigate to the Applications section.
• Choose your deployment type:
  • Connect your code repository: GitHub or GitLab → Connect account → Pick repo and branch. [OR]
  • Upload your code via zip or tar file: Just upload your code.
• Configure the app port and instance type.

• Set Environment Variables in the Raw Editor

Step 2: Review & Deploy

• Review your deployment details.
• Click Submit to deploy your application and make it live instantly.

Step 3: Track Your Application

Once your application is successfully deployed, you can monitor and manage it from the dashboard. Nimbuz provides detailed insights across different sections.

View deployment status, logs, and recent releases directly in the UI.

Step 4: Application URL & Access

• Go to the Networking tab → Click Generate Domain.

• After clicking Generate Domain, the system generates a public endpoint.
• Your app is automatically served with HTTPS.
• Optionally, map a custom domain.

This allows the application to go live quickly.

Hosting & Endpoint Setup Compared: Azure vs Nimbuz

When deploying a Angular application, both Azure Virtual Machines and Nimbuz Platform can host your application, but the setup process is different.

Azure Virtual Machine:

Manual setup required:

• Create VM
• Install dependencies
• Configure server
• Set up SSL

Result: Flexible but time consuming setup.

In short: Azure provides full control but requires manual configuration.

Nimbuz Platform:

Fully automated:

• Instant domain generation
• Built in HTTPS
• No server setup

Result: Instant hosting with minimal effort.

In short: Nimbuz offers a simple and automated deployment experience for developers with zero DevOps support.

Azure vs Nimbuz: Key Differences

Conclusion

Both Microsoft Azure and Nimbuz provide reliable ways to deploy Python applications, but they target different needs.

• Azure VM → Best for control, customization, and enterprise setups
• Nimbuz (PaaS) → Best for speed, simplicity, and quick deployments