I've created new ADF instance on Azure with Managed Virtual Network integration enabled.
I planned to connect to Azure Key Vault to retrieve credentials for my pipeline’s source and sink systems using Key Vault Private Endpoint. I was able to successfully create it using Azure Data Factory Studio. I have also created Azure Key Vault linked service.
However, when I try to configure another Linked Services for source and destination systems the only option available for retrieving credentials from Key Vault is AVK Linked Service. I'm not able to select related Private Endpoint anywhere (please see below screen).
Do I miss something?
Are there any additional configuration steps required? Is the scenario I've described possible at all?
Any help will be appreciated!
UPDATE: Screen comparing 2 linked services (one with managed network and private endpoint selected and another one where I'm not able to set this options up):
Managed Virtual Network integration enabled, Make sure check which region you are using unfortunately ADF managed virtual network is not supported for East Asia.
I have tried in my environment even that option is not available
So, I have gathered some information even if you create a private endpoint for Key Vault, this column is always shown as blank .it validates URL format but doesn't do any network operation
As per official document if you want to use new link service, instead of key vault try to create other database services like azure sql, azure synapse service like as below
For your Reference:
Store credentials in Azure Key Vault - Azure Data Factory | Microsoft Docs
Azure Data Factory and Key Vault - Tech Talk Corner
Related
I am trying to create a linked service in Azure Data Factory to an Azure Data Lake Storage Gen2 data store. Below is my linked service configuration:
I get the following error message when I test the connection:
Error code 24200 Details ADLS Gen2 operation failed for: Storage
operation '' on container 'testconnection' get failed with 'Operation
returned an invalid status code 'Forbidden''. Possible root causes:
(1). It's possible because some IP address ranges of Azure Data
Factory are not allowed by your Azure Storage firewall settings. Azure
Data Factory IP ranges please refer
https://learn.microsoft.com/en-us/azure/data-factory/azure-integration-runtime-ip-addresses..
I have found a very similar question here, but I'm not using Managed Identity as my authentication method. Perhaps I should be using that method. How can I overcome this error?
I tried to create a linked service to my Azure Data Lake storage and when I test its connection, it gives me the same error.
Error code 24200 Details ADLS Gen2 operation failed for: Storage
operation '' on container 'testconnection' get failed with 'Operation
returned an invalid status code 'Forbidden''. Possible root causes:
(1). It's possible because some IP address ranges of Azure Data
Factory are not allowed by your Azure Storage firewall settings. Azure
Data Factory IP ranges please refer
https://learn.microsoft.com/en-us/azure/data-factory/azure-integration-runtime-ip-addresses
As indicated by the Possible root causes in the error details, this occurred because of the Azure data lake storage account firewall settings.
Navigate to your data lake storage account, go to Networking -> Firewalls and virtual networks.
Here, when the public network access is either disabled or enabled from selected virtual networks and IP addresses, the linked service creation fails with the above specified error message.
Change it to Enabled from all networks save the changes and try creating the linked service again.
When we test the connection before creating the linked service, it will be successful, and we can proceed to create it.
UPDATE:
In order to proceed with a data lake storage with public access enabled from selected virtual netowrks and IP addresses to create a successful connection via linked service, you can use the following approach.
Assuming your data lake storage has public network access enabled from selected virtual netowrks and IP addresses, first create an integration runtime in your azure data factory.
In your data factory studio, navigate to Manage -> Integration Runtime -> New. Select Azure,self hosted as the type of integration runtime.
Select Azure in the next window and click continue. Enter the details for integration runtime
In the virtual network tab, enable the virtual network configuration and check the interactive authoring checkbox.
Now continue to create the Integration runtime. Once it is up and running, start creating the linked service for data lake storage.
In Connect via integration runtime, select the above created IR. In order to complete the creation, we also need to create a managed private endpoint (It will be prompted as shown in the image below).
Click Create new, with account selection method as From azure subscription, select the data lake storage you are creating the linked service to and click create.
Once you create this, a private endpoint request will be sent to your data lake storage account. Open the storage account, navigate to Networking -> Private endpoint connections. You can see a pending request. Approve this request.
Once this is approved, you can successfully create the linked service where your data lake storage allows access on selected virtual networks and IP addressess.
The error has occurred because of firewall and network access restriction. One way to overcome this error is by adding your client ip to the firewall and network setting of your storage account. Navigate to your data lake storage account, go to Networking -> Firewalls and virtual networks. Under firewall option click on "Add your client ip address"
I am using an open source tool for deployment of schema for my warehouse snowflake. I have successfully done it for tables, views and procedures. Currently I'm facing an issue, I have to deploy snowflake stages same way. But stages required url and azure saas token when you define it in your sql file like this:
CREATE or replace STAGE myStage
URL = 'azure://xxxxxxxxx.blob.core.windows.net/'
CREDENTIALS = ( AZURE_SAS_TOKEN = 'xxxxxxxxxxxxxxxxxxxx' )
file_format = myFileFormat;
As it is not encouraged to use your credentials in file that will be published on version control and access by others. Is there a way/task in azure devOps so I can just pass a template SQL file in repo and change it before compilation and execution(may be via azure key vault) and change back to template? So these credentials and token always remain secure.
Have you considered using a STORAGE INTEGRATION, instead? If you use the storage integration credentials and grant that to your Blob storage, then you'd be able to create STAGE objects without passing any credentials at all.
https://docs.snowflake.net/manuals/sql-reference/sql/create-storage-integration.html
For this issue ,you can use credential-less stages to secure your cloud storage without sharing secrets.
Here agree with Mike, storage integrations, a new object type, allow a Snowflake administrator to create a trust policy between Snowflake and the cloud provider. When Snowflake connects to the organization’s cloud storage, the cloud provider authenticates and authorizes access through this trust policy.
Storage integrations and credential-less external stages put into the administrator’s hands the power of connecting to storage in a secure and manageable way. This functionality is now generally available in Snowflake.
For details ,please refer to this document. In addition, you can also via azure key vault, key vault provides a secure place for accessing and storing secrets.
I am trying to configure Azure Key Vault and setup Managed Identities for use in CI/CD pipeline for Azure Dev Ops.
I have looked around in MSDN documentation but I only specific links for use with Azure SQL and we are using Azure SQL Managed Instances.
If I did not make any misunderstand, in fact, you want to use Managed Identity work with Azure SQL Managed Instance? If this, unfortunately to say, the Managed Identity could not work with Azure SQL Managed Instance. Please see this doc: Services that support managed identities for Azure resources. It list all of the Azure services name which support work with the Managed identities in great detail.
You can see for SQL database, it only support the integration with Azure SQL instead of Azure SQL Managed Instance. That's why you only see the doc link for the usage with Azure SQL.
Until now, the Azure SQL managed instance only support two authentication method:
SQL Authentication:
This authentication method uses a username and password.
Azure Active Directory Authentication:
This authentication method uses identities managed by Azure Active
Directory and is supported for managed and integrated domains. Use
Active Directory authentication (integrated security) whenever
possible.
You can refer to this thread: Managed Identity with Azure SQL Managed Instance?. In this thread, out engineer provided some work around if you trying to configure the app with Managed Identity.
I have created a ServiceBus namespace in Azure, along with a topic and a subscription. I also have a simple Azure version 1 function that triggers on a received topic in the ServiceBus, like this:
[FunctionName("MyServiceBusTriggerFunction")]
public static void Run([ServiceBusTrigger("myTopic", "mySubscription", Connection = "MyConnection")]string mySbMsg, TraceWriter log)
{
log.Info($"C# ServiceBus topic trigger function processed message: {mySbMsg}");
}
The function triggers nicely for the topics in the ServiceBus when I define the connection string in functions Application Settings by using Shared Access Policy for topic, like this:
Endpoint=sb://MyNamespace.servicebus.windows.net/;SharedAccessKeyName=mypolicy;SharedAccessKey=UZ...E0=
Now, instead of Shared Access Keys, I would like to use Managed Service Identity (MSI) for accessing the ServiceBus. According to this (https://learn.microsoft.com/en-us/azure/active-directory/managed-service-identity/services-support-msi) it should be possible, unless I have misunderstood something. I haven't managed to get it working though.
What I tried, was to
set the Managed Service Identity "On" for my function in Azure portal
give Owner role for the function in ServiceBus Access Control section in Azure Portal
set the connection string for MyFunction like this: Endpoint=sb://MyNamespace.servicebus.windows.net/
The function is not triggering in this set-up, so what am I missing or what am I doing wrong?
I'd be grateful for any advice to help me get further. Thanks.
Update for Microsoft.Azure.WebJobs.Extensions.ServiceBus version 5.x
There is now an offical docs for the latest version of the package in here.
{
"Values": {
"<connection_name>__fullyQualifiedNamespace": "<service_bus_namespace>.servicebus.windows.net"
}
}
Previous answer:
This actually seems to be possible now, at least worked just fine for me. You need to use this connection string:
Endpoint=sb://service-bus-namespace-name.servicebus.windows.net/;Authentication=ManagedIdentity
I have not actually found any documentation about this on Microsoft site, but in a blog here.
Microsoft does have documentation though on roles that you can use and how to limit them to scope in here. Example:
az role assignment create \
--role $service_bus_role \
--assignee $assignee_id \
--scope /subscriptions/$subscription_id/resourceGroups/$resource_group/providers/Microsoft.ServiceBus/namespaces/$service_bus_namespace/topics/$service_bus_topic/subscriptions/$service_bus_subscription
what am I missing or what am I doing wrong?
You may mix up with MSI and Shared Access Policy.They are using different provider to access to Azure servicebus. You could just use connectionstring or just use MSI to authenticate.
When you use Managed Service Identity(MSI) to authenticate, you need to create a token provider for the managed service identity with the following code.
TokenProvider.CreateManagedServiceIdentityTokenProvider(ServiceAudience.ServiceBusAudience).
This TokenProvider's implementation uses the AzureServiceTokenProvider found in the Microsoft.Azure.Services.AppAuthentication library. AzureServiceTokenProvider will follow a set number of different methods, depending on the environment, to get an access token. And then initialize client to operate the servicebus.
For more details, you could refer to this article.
When you use servicebus connectionstring to access which using the Shared Access Token (SAS) token provider, so you can operate directly.
Agreed that from azure function we cannot access the resource like ASB directly. However, one still does not need to put in the password in this case "SharedAccessKeyName" in the connectionstring directly.
Azure function can work with Azure KeyVault. Thus one can store the connectionstring with sensitive information as a secret in the KeyVault and then grant System assigned identity from azure functions access over KeyVault and then specify the value for the settings in the portal as
#Microsoft.KeyVault(SecretUri={theSecretUri})
Details on how to achieve the above is mentioned in the following blog.
https://medium.com/statuscode/getting-key-vault-secrets-in-azure-functions-37620fd20a0b
This will still avoid specifying the connectionstring directly in Azure functions and provides with single point of access via Vault to be disabled in case of a security breach
In Amazon cloud API there is the possibility to get identity data, meaning data from the running instance - on which region it is, dns ....
is there the same option in Azure? as I am creating management system in which the server is installed on a virtual machine and I need to know to which region it is related, all this using REST API
In Azure you can use Azure API Management REST API to get all sort of information for Azure:
ex:
Lists all of the resources in a subscription:
https://management.azure.com/subscriptions/{subscription-id}/resources?$top={top}$skiptoken={skiptoken}&$filter={filter}&api-version={api-version}
For the complete documentation look at this page here:
https://msdn.microsoft.com/en-us/library/azure/dn776326.aspx
You can do similar things using Powershell scripts as well.