Performance efficiency pillar in Azure - Mini Project: Build & Apply

Implementing the Performance Efficiency Pillar in Azure

📖 Scenario: You are working as a cloud engineer for a company that wants to improve the performance of their Azure web application. They want to ensure the app scales well and uses resources efficiently to handle varying user loads.

🎯 Goal: Build an Azure infrastructure setup that demonstrates the Performance Efficiency pillar by creating a scalable web app with autoscaling and monitoring.

📋 What You'll Learn

Create an Azure App Service Plan with a specific SKU

Configure an Azure Web App using the App Service Plan

Add autoscale settings to the App Service Plan based on CPU usage

Enable Application Insights for monitoring performance

💡 Why This Matters

🌍 Real World

This project models how companies optimize cloud resources to handle changing workloads efficiently, ensuring good user experience without overspending.

💼 Career

Understanding and implementing performance efficiency in Azure is essential for cloud engineers and architects to build scalable, cost-effective applications.

1

Create an Azure App Service Plan

Create an Azure App Service Plan named myAppServicePlan in the resource group myResourceGroup with the SKU Standard_S1.

Azure

# Your code here to create an App Service Plan named myAppServicePlan in myResourceGroup with SKU Standard_S1

Need a hint?

Use the az appservice plan create command with the correct parameters.

2

Create an Azure Web App

Create an Azure Web App named myWebApp in the resource group myResourceGroup using the App Service Plan myAppServicePlan.

Azure

az appservice plan create --name myAppServicePlan --resource-group myResourceGroup --sku S1 --is-linux false
# Your code here to create a Web App named myWebApp using myAppServicePlan

Need a hint?

Use the az webapp create command with the correct parameters.

3

Configure Autoscale Settings

Create an autoscale setting named autoscaleSetting for the resource group myResourceGroup that targets the App Service Plan myAppServicePlan. Set the autoscale rule to increase the instance count by 1 when CPU percentage is above 70%, and decrease by 1 when CPU percentage is below 30%.

Azure

az appservice plan create --name myAppServicePlan --resource-group myResourceGroup --sku S1 --is-linux false
az webapp create --name myWebApp --resource-group myResourceGroup --plan myAppServicePlan
# Your code here to create autoscale settings named autoscaleSetting for myAppServicePlan with CPU rules

Need a hint?

Use az monitor autoscale create and az monitor autoscale rule create commands with the correct parameters.

4

Enable Application Insights

Enable Application Insights for the Web App myWebApp in the resource group myResourceGroup to monitor performance.

Azure

az appservice plan create --name myAppServicePlan --resource-group myResourceGroup --sku S1 --is-linux false
az webapp create --name myWebApp --resource-group myResourceGroup --plan myAppServicePlan
az monitor autoscale create --resource-group myResourceGroup --resource myAppServicePlan --resource-type Microsoft.Web/serverfarms --name autoscaleSetting --min-count 1 --max-count 5 --count 1
az monitor autoscale rule create --resource-group myResourceGroup --autoscale-name autoscaleSetting --condition "Percentage CPU > 70 avg 5m" --scale out 1
az monitor autoscale rule create --resource-group myResourceGroup --autoscale-name autoscaleSetting --condition "Percentage CPU < 30 avg 5m" --scale in 1
# Your code here to enable Application Insights for myWebApp

Need a hint?

Use az monitor app-insights component create to create Application Insights and az webapp config appsettings set to link it.