aj-geddes/azure-app-service

Azure App Service

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Azure App Service provides a fully managed platform for building and hosting web applications, REST APIs, and mobile backends. Support multiple programming languages with integrated DevOps, security, and high availability.

When to Use

• Web applications (ASP.NET, Node.js, Python, Java)
• REST APIs and microservices
• Mobile app backends
• Static website hosting
• Production applications requiring scale
• Applications needing auto-scaling
• Multi-region deployments
• Containerized applications

Quick Start

Minimal working example:

# Login to Azure
az login

# Create resource group
az group create --name myapp-rg --location eastus

# Create App Service Plan
az appservice plan create \
  --name myapp-plan \
  --resource-group myapp-rg \
  --sku P1V2 \
  --is-linux

# Create web app
az webapp create \
  --resource-group myapp-rg \
  --plan myapp-plan \
  --name myapp-web \
  --deployment-container-image-name nodejs:18

# Configure app settings
az webapp config appsettings set \
  --resource-group myapp-rg \
  --name myapp-web \
  --settings \
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | App Service Creation with Azure CLI | App Service Creation with Azure CLI | | Terraform App Service Configuration | Terraform App Service Configuration | | Deployment Configuration | Deployment Configuration | | Health Check Configuration | Health Check Configuration |

Best Practices

✅ DO

• Use deployment slots for zero-downtime deployments
• Enable Application Insights
• Configure autoscaling based on metrics
• Use managed identity for Azure services
• Enable HTTPS only
• Store secrets in Key Vault
• Monitor performance metrics
• Implement health checks

❌ DON'T

• Store secrets in configuration
• Disable HTTPS
• Ignore Application Insights
• Use single instance for production
• Deploy directly to production
• Ignore autoscaling configuration