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/Blob Storage

📁 Blob Storage - Advanced

Geo-Replication and Failover

# Create geo-redundant storage account
az storage account create \
  --name mystorageaccount \
  --resource-group myResourceGroup \
  --location eastus \
  --sku Standard_GZRS

# Failover to secondary region
az storage account failover \
  --account-name mystorageaccount \
  --resource-group myResourceGroup

Advanced Lifecycle Management

from azure.storage.blob import BlobServiceClient

def apply_lifecycle_policy(account_name, container_name):
  client = BlobServiceClient.from_connection_string(connection_string)
  container = client.get_container_client(container_name)
  
  # Archive after 30 days, delete after 365
  rules = {
    "rules": [
      {
        "name": "archive-old",
        "actions": {
          "baseBlob": {
            "tierToArchive": {"daysAfterModificationGreaterThan": 30},
            "delete": {"daysAfterModificationGreaterThan": 365}
          }
        }
      }
    ]
  }

Content Delivery and Performance

# Enable Azure CDN
az cdn profile create \
  --name myProfile \
  --resource-group myResourceGroup \
  --sku Standard_Microsoft

# Create CDN endpoint
az cdn endpoint create \
  --profile-name myProfile \
  --resource-group myResourceGroup \
  --name mycdnendpoint \
  --origin-host-header mystorageaccount.blob.core.windows.net \
  --origins name=myStorage host=mystorageaccount.blob.core.windows.net

Key Takeaways

  • **Geo-replication** ensures high availability
  • **Lifecycle policies** optimize costs
  • **CDN** improves global performance
  • **Failover** enables disaster recovery

Next Steps

Learn about Cosmos DB for global data distribution.


Resources

Python Docs

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