paolosalvatori / blob-private-endpoint

This sample demonstrates how to create a Linux Virtual Machine in a virtual network that privately accesses a blob storage account using an Azure Private Endpoint.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Connecting to a storage account via a Private Endpoint

Deploy To Azure Deploy To Azure US Gov Visualize

This sample demonstrates how to create a Linux Virtual Machine in a virtual network that privately accesses an Azure Data Lake File System Gen 2 and an ADLS Gen 2 blob storage account using two Azure Private Endpoints. Azure Private Endpoint is a network interface that connects you privately and securely to a service powered by Azure Private Link. Private Endpoint uses a private IP address from your virtual network, effectively bringing the service into your virtual network. The service could be an Azure service such as Azure Storage, Azure Cosmos DB, SQL, etc. or your own Private Link Service. For more information, see What is Azure Private Link?. For more information on the DNS configuration of a private endpoint, see Azure Private Endpoint DNS configuration.

Architecture

The following picture shows the architecture and network topology of the sample.

Architecture

The ARM template deploys the following resources:

  • Virtual Network: this virtual network has a single subnet that hosts an Linux (Ubuntu) virtual machine
  • Network Security Group: this resource contains an inbound rule to allow the access to the virtual machine on port 22 (SSH)
  • The virtual machine is created with a managed identity which is assigned the contributor role at the resource group scope level
  • A Public IP for the Linux virtual machine
  • The NIC used by the Linux virtual machine that makes use of the Public IP
  • A Linux virtual machine used for testing the connectivity to the storage account via a private endpoint
  • A Log Analytics workspace used to monitor the health status of the Linux virtual machine
  • An Azure Data Lake Storage (ADLS) Gen 2 storage account used to store data on the Azure Data Lake File System
  • An Azure Data Lake Storage (ADLS) Gen 2 storage account used to store the boot diagnostics logs of the virtual machine as blobs
  • A Private DNS Zone for ADLS Gen2 private endpoints (privatelink.dfs.core.windows.net)
  • A Private DNS Zone for Blob Storage Accounts private endpoints (privatelink.blob.core.windows.net)
  • A Private Endpoint to let the virtual machine access the Azure Data Lake File System via a private address
  • A Private Endpoint to let the virtual machine store boot diagnostics logs to the second storage account via a private address
  • A Private DNS Zone Group for the ADLS Gen2 private endpoint
  • A Private DNS Zone Group for the Blob Storage Account private endpoint

The PrivateDnsZoneGroup resource type establishes a relationship between the Private Endpoint and the Private the privatelink.* DNS zone for the name resolution of the fully qualified name of the resource referenced by the Private Endpoint.

  • When creating a Private Endpoint, the related A record will automatically be created in the target Private DNS Zone with the private IP address of the network interface associated to the Private Endpoint and the name of the Azure resource referenced by the Private Endpoint
  • When deleting a Private Endpoint, the related A record gets automatically deleted from the corresponding Private DNS Zone.

The two storage accounts are accessed via a different endpoint, hence their private endpoints need different private DNS zone:

Storage Service Zone Name
Blob service privatelink.blob.core.windows.net
Data Lake Storage Gen2 privatelink.dfs.core.windows.net

For more information, see Use private endpoints for Azure Storage.

The ARM template uses the Azure Custom Script Extension to download and run the following Bash script on the virtual machine. The script performs the following steps:

  • Validates the parameters received by the Custom Script extension
  • Updates the system and upgrades packages
  • Installs curl and traceroute packages
  • Runs the nslookup command against the public URL of the ADLS Gen 2 storage account to verify that this gets resolved to a private address
  • Runs the nslookup command against the public URL of the second storage account to verify that this gets resolved to a private address
  • Downloads and installs the Azure CLI
  • Logins using the system-assigned managed identity of the virtual machine
  • Creates a file system in the ADLS Gen 2 storage account
  • Creates a directory in the file system
  • Creates a file in the directory with the content passed as a parameter
#!/bin/bash

# Variables
adlsServicePrimaryEndpoint=$1
blobServicePrimaryEndpoint=$2
fileSystemName=$3
directoryName=$4
fileName=$5
fileContent=$6

# Parameter validation
if [[ -z $adlsServicePrimaryEndpoint ]]; then
    echo "adlsServicePrimaryEndpoint cannot be null or empty"
    exit 1
else
    echo "adlsServicePrimaryEndpoint: $adlsServicePrimaryEndpoint"
fi

if [[ -z $blobServicePrimaryEndpoint ]]; then
    echo "blobServicePrimaryEndpoint cannot be null or empty"
    exit 1
else
    echo "blobServicePrimaryEndpoint: $blobServicePrimaryEndpoint"
fi

if [[ -z $fileSystemName ]]; then
    echo "fileSystemName parameter cannot be null or empty"
    exit 1
else
    echo "fileSystemName: $fileSystemName"
fi

if [[ -z $directoryName ]]; then
    echo "directoryName parameter cannot be null or empty"
    exit 1
else
    echo "directoryName: $directoryName"
fi

if [[ -z $fileName ]]; then
    echo "fileName parameter cannot be null or empty"
    exit 1
else
    echo "fileName: $fileName"
fi

if [[ -z $fileContent ]]; then
    echo "fileContent parameter cannot be null or empty"
    exit 1
else
    echo "fileContent: $fileContent"
fi

# Extract the adls storage account name from the adls service primary endpoint
storageAccountName=$(echo "$adlsServicePrimaryEndpoint" | awk -F'.' '{print $1}')

if [[ -z $storageAccountName ]]; then
    echo "storageAccountName cannot be null or empty"
    exit 1
else
    echo "storageAccountName: $storageAccountName"
fi

# Eliminate debconf: warnings
echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selections

# Update the system
sudo apt-get update -y

# Upgrade packages
sudo apt-get upgrade -y

# Install curl and traceroute
sudo apt install -y curl traceroute

# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

# Run nslookup to verify that the <storage-account>.dfs.core.windows.net
# public hostname of the storage account is properly mapped to
# <storage-account>.privatelink.dfs.core.windows.net by the
# privatelink.dfs.core.windows.net private DNS zone and the latter is
# then resolved to the private address by the A record
nslookup $adlsServicePrimaryEndpoint

# Run nslookup to verify that the <storage-account>.blob.core.windows.net
# public hostname of the storage account is properly mapped to
# <storage-account>.privatelink.blob.core.windows.net by the
# privatelink.blob.core.windows.net private DNS zone and the latter is
# then resolved to the private address by the A record
nslookup $blobServicePrimaryEndpoint

# Login using the virtual machine system-assigned managed identity
az login --identity

# Create file system for the Azure Data Lake Storage Gen2 account
az storage fs create \
    --name $fileSystemName \
    --account-name $storageAccountName

# Create a directory in the ADLS Gen2 file system
az storage fs directory create \
    --file-system $fileSystemName \
    --name $directoryName \
    --account-name $storageAccountName

# Create a file to upload to the ADLS Gen2 file system in the storage account
echo $fileContent > $fileName

# Upload the file to a file path in ADLS Gen2 file system.
az storage fs file upload \
    --file-system $fileSystemName \
    --path "$directoryName/$fileName" \
    --source "./$fileName" \
    --account-name $storageAccountName

# List files and directories in the directory in the ADLS Gen2 file system.
az storage fs file list \
    --file-system $fileSystemName \
    --path $directoryName \
    --account-name $storageAccountName

Deployment

You can use the template.json ARM template and parameters.json file included in this repository to deploy the sample. Make sure to edit the parameters.json file to customize the installation. You can also use the deploy.sh Bash script under the scripts folder to deploy the ARM template. The following figure shows the resources deployed by the ARM template in the target resource group.

Resource Group

Testing

if you open an ssh session to the Linux virtual machine and manually run the nslookup command, you should see an output like the following:

Architecture

About

This sample demonstrates how to create a Linux Virtual Machine in a virtual network that privately accesses a blob storage account using an Azure Private Endpoint.


Languages

Language:Shell 100.0%