azure-vmss

🚀 Azure VMSS Deployment: LiftShift-Application

This project demonstrates how to deploy a Python-based web application across a scalable Virtual Machine Scale Set (VMSS) with automated load balancing and health monitoring using Microsoft Azure.

📦 Overview

• Resource Group: GL-VMSS-RG
• Scale Set Name: gl-vmss-tio
• Region: East US
• VM Image: Ubuntu Server 22.04 LTS
• Instance Type: Standard_DC1s_v2
• Authentication: SSH key pair (gl-vmss_key)
• Load Balancer: GL-VMSS-LB
• App Port: HTTP (80)
• Admin Port: SSH (22)
• Public IP: 4.255.99.121

⚙️ Configuration Highlights

• Availability Zones: Zones 1, 2, and 3 for resilience
• Autoscaling Rules:
  • Increase instance count by 1 when CPU > 80% for 10 mins
  • Decrease instance count by 1 when CPU < 20% for 10 mins
• Health Probes: HTTP check on /health.html
• Custom Script:

  #!/bin/bash
  APP_NAME=LiftShift-Application
  apt update -y && apt -y install python3-pip zip
  cd /opt
  wget https://d6opu47qoi4ee.cloudfront.net/loadbalancer/simuapp-v1.zip
  unzip simuapp-v1.zip
  rm -f simuapp-v1.zip
  sed -i "s=MOD_APPLICATION_NAME=$APP_NAME=g" templates/index.html
  pip3 install -r requirements.txt
  nohup python3 simu_app.py >> application.log 2>&1 &

🌐 Network Setup

• Virtual Network: GL-VMSS-RG-vnet
• NIC: GL-VMSS-RG-vnet-nic
• Inbound Rules:
  • Port_80: HTTP traffic (Priority 100)
  • Port_22: SSH access (Priority 110)

🧪 Access & Validation

Once deployed, you can access the LiftShift-Application via the public IP:

http://4.255.99.121

Successful deployment displays the application frontend. Health probe status confirms load balancer routing is operational.

🧹 Resource Cleanup

To remove resources post-validation:

# In Azure Portal
Search: Resource Groups → Select `GL-VMSS-RG` → Delete