Ojasa Mirai

Ojasa Mirai

Cloud

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Learning Level

🟢 Beginner🔵 Advanced
🔧 Azure Account Setup⚙️ Azure Compute Overview🖥️ Virtual Machines🎯 App Service Deployment⚡ Azure Functions📁 Blob Storage🗄️ Azure SQL Database📊 Cosmos DB📊 Azure Monitoring🔑 Azure Identity & Access📈 Azure Scaling & Load Balancing🐳 Azure Containers & AKS🎯 Azure Static Web Apps💰 Azure Cost Optimization
Cloud/Azure Deployment/Azure Scaling Load Balancing

📈 Azure Scaling & Load Balancing

Introduction

Azure provides autoscaling and load balancing to handle variable workloads efficiently.

Key Learning Outcomes

By the end of this lesson, you'll understand:

  • Autoscaling policies
  • Load balancer configuration
  • Application Gateway
  • Traffic Manager
  • Performance monitoring
  • Cost optimization

Autoscaling Virtual Machines

# Create autoscale settings
az monitor autoscale create \
  --resource-group myResourceGroup \
  --resource myVMScaleSet \
  --resource-type "Microsoft.Compute/virtualMachineScaleSets" \
  --min-count 2 \
  --max-count 10 \
  --count 2

# Add scale rule
az monitor autoscale rule create \
  --resource-group myResourceGroup \
  --autoscale-name myAutoscale \
  --condition "Percentage CPU > 75 avg 5m" \
  --scale out 1

Load Balancer

# Create load balancer
az network lb create \
  --resource-group myResourceGroup \
  --name myLoadBalancer \
  --sku Standard

# Create backend pool
az network lb address-pool create \
  --resource-group myResourceGroup \
  --lb-name myLoadBalancer \
  --name myBackendPool

# Create health probe
az network lb probe create \
  --resource-group myResourceGroup \
  --lb-name myLoadBalancer \
  --name myHealthProbe \
  --protocol http \
  --port 80 \
  --path /health

Application Gateway

# Create Application Gateway
az network application-gateway create \
  --name myAppGateway \
  --resource-group myResourceGroup \
  --vnet-name myVNet \
  --subnet mySubnet \
  --capacity 2 \
  --sku Standard_v2 \
  --http-settings-cookie-based-affinity Disabled \
  --frontend-port 80 \
  --http-settings-port 80 \
  --http-settings-protocol Http \
  --public-ip-address myPublicIP

Key Takeaways

  • **Autoscaling** adjusts resources based on demand
  • **Load Balancer** distributes traffic
  • **Application Gateway** provides advanced routing
  • **Traffic Manager** enables global load balancing
  • **Monitoring** informs scaling decisions

Next Steps

Learn about containers with Azure Kubernetes Service, or explore static web apps deployment.


Resources

Python Docs

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