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Azure devops keyvault

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Using Azure Key Vault Secrets from your Azure DevOps pipelines
When working with Azure DevOps, there's a lot of options and configurations to tailor the service exactly to the needs of your organization. Part of the responsibilities that lie on the ones that managed these pipelines is to ensure that you don't spill the beans - or in other words, leak any sensitive data.
With Azure DevOps, you can get sensitive data like Connection Strings, Secrets, API Keys, and whatever else you may classify as sensitive. You can get them directly from an Azure Key Vault, instead of configuring them on your build pipeline.
With Azure DevOps, you can get sensitive data like Connection Strings, Secrets, API Keys, and whatever else you may classify as sensitive. You can get them directly from an Azure Key Vault, instead of configuring them on your build pipeline.
Azure DevOps accessing an Azure Key Vault using an Azure AD app
Please excuse my lack of artistic creativeness in this illustration. Still, the idea is to visualize the flow of what we want to achieve:

Azure DevOps build pipeline
Authorized as an Azure AD application.
Has permissions (and access policies) to Get and List secrets from an Azure Key Vault


Voila. No credentials in your Azure DevOps build pipelines ever again.
Pre-requisites

An Azure DevOps account and pipelines
An Azure Key Vault with secrets you want to use in your pipelines

Azure DevOps Variable Groups and Key Vaults
I love the concept of a Variable group in Azure DevOps. It helps me to create re-usable configurations of variables that I can use from multiple different pipelines.
But, what about the Azure Key Vault task?
Use this task in a build or release pipeline to download secrets such as authentication keys, storage account keys, data encryption keys, .PFX files, and passwords from an Azure Key Vault instance. The task can be used to fetch the latest values of all or a subset of secrets from the vault, and set them as variables that can be used in subsequent tasks of a pipeline. The task is Node-based, and works with agents on Linux, macOS, and Windows
My main takeaway when it comes to choosing between a Variable Group and an Azure Key Vault Task is:

Use Variable Groups for configuration re-used across multiple pipelines
Use the Azure Key Vault Task for single-purpose access to a vault from a specific pipeline


In this post, we'll look at the Variable Groups, because I have multiple pipelines in various setups that all need access to secrets from one or more of my vaults. I need the re-usability across all my builds that target the same system(s).
With that out of the way, let's kick things off.
Ensure you have Secrets in your Azure Key Vault
My Azure Key Vault already contains my required secrets. Ensure that this gets done before continuing to make the following steps easier. When we try to add variables to the Variable Group, it'll look for Secrets from the connected vault.
Here's an example of what Secrets I have so that we can relate that to the variables later:
Azure Key Vault that contains some Secrets that we'll need to loop into our Azure DevOps pipeline.
Great - we have our Key Vault. It contains Secrets, and we're ready to start connecting our Azure DevOps service. We can now make use of these secrets to avoid having plain text or sensitive configurations flying around.
Configure a Variable Group to connect to an Azure Key Vault
It's time to create our Variable Group, which we do from the UI in Azure DevOps in this case. Here's how we start.
Go to "Pipelines" and then "Library" and "Add variable group":
Azure DevOps - Pipelines - Library and "Add variable group".
Next, populate the data as you see fit and select your Subscription and Vault from the options available (e.g., from the tenants that are connected):
Azure DevOps Variable Group to connect to an Azure Key Vault from your build tasks.
It will ask you to Authorize the connection so that Azure DevOps has permission to Get and List secrets from the given vault. Once you've clicked "Authorize" you should see an empty section of Variables.
Next up, click "Add" under Variables and see that the list populates with the same variables as you have Secrets in your Key Vault. Remember from the previous section, where we had two Secrets in our vault? That's the ones we're looking at as Variables now in Azure DevOps.
Azure DevOps variables coming from an Azure Key Vault Secrets list
Tick the boxes of each Secret you want to bring into your pipe, and click OK.
Hit Save on the Variable Group.
Configure a Pipeline to make use of the new Variable Group
When we've reached this point, we have a variable group configured to use our Azure Key Vault Secrets as per the previous section in this post. Now we're ready to see if we can start utilizing them from the Azure DevOps pipelines. Here's how.
Go to the pipeline where you want to make changes. Select "Variables" and then "Link variable group":
Azure DevOps pipeline linking a Variable Group
All variable groups show up, and you can select the one you have just created. The parentheses show the number of linked Secrets, which correctly corresponds to the two ones I created previously:
Azure DevOps linking a variable group.
Once done, you can expand the variable group to ensure the Secrets exist with the values hidden:
Azure DevOps looking at the linked variable groups and its linked Secrets
From this point, whatever variables you have in your variable group can be accessed from your build pipe as $(VariableNameHere) , and to exemplify this with my own examples, it could be used as $(NewsServiceApiKey) .
With multiple stages in your pipeline, you can also define various scopes for the variables under "Pipeline variables," but to demonstrate this functionality, I'm going with this flat approach.
Configure a build task to use the variables, coming straight from Secrets in Azure Key Vault
At this point, we're ready to test the variables out in our pipelines. In the following example, I'm adding a simple PowerShell task that outputs them in the log - but DevOps is smart enough to know that this is a bad idea. Hence, it will redact the actual values. It proves that the link works, and we can now make use of them in any task down the pipe - we have success.
In a sample PowerShell task, I'm just adding this dummy inline script to prove that the linked variables work:
There are two key ingredients in the above snippet. It's $(SendGridApiKey) and $(NewsServiceApiKey) .
What's great about DevOps though, is that it's obfuscating the values, so it's not showing up in the log. Obfuscation is a good thing because logging secrets isn't good practice. I'm making the demonstration as simple as I can so we can grasp how the variables are linked from the Azure Key Vault, through our Variable Group, to our Pipeline Tasks ??
Azure DevOps pipeline making use of the Secrets coming from an Azure Key Vault.
In the job on DevOps, we can also see that there's a new step, "Download secrets: ci-buildpipe" which takes care of linking the Secrets from the vault directly into my build pipe. It's amazingly smooth:
That's a wrap for the actual configuration and testing that it works. Now let us move on to a couple of other essential topics that we should know about before we dig deeper into this.
Security considerations
Remember when you clicked "Authorize" to authorize DevOps to access our Key Vault to list and get secrets? It creates a Service Principal in your directory that you should be aware of, and also assigns an Access Policy to your Key Vault with "Get" and "List" permissions. Let's take a look.
Azure AD Application
When you connect your Azure DevOps service to your underlying subscription, and it asks you to manage access and authorization, it creates an application in your directory. Here's mine, obviously slightly obfuscated. ??
Azure Active Directory application (Azure AD App) belonging to the Azure DevOps identity.
Should you want to, at some point, clean things up, don't forget to take a look at the apps here.
So, we have the application automatically created for us. In essence, we can see that the Key Vault policies exist, too.
Azure Key Vault Access Policies added for the new app
The new application has Get and List permissions to Secrets, but no changes or deletions are allowed. It is automatically granted with access policy when we clicked "Authorize" and said that it was OK. You might want to be aware of this, so you know where this is coming from if you do a security audit of your vaults.
Azure Key Vault access policy showing that the Azure DevOps Application has Get and List permissions.
Summary and Links
That's a wrap - a straight forward way to connect your Azure Key Vault secrets to your Azure DevOps pipelines without spilling any secrets.
I hope this can help someone tasked with increasing the security awareness of their Azure DevOps Pipelines, as well as increase the general security posture across the board. Don't go light on these things - enforce security configuration and avoid sensitive data in your systems.
Thanks for reading - please leave a comment. Tobi, out.
Azure devops keyvault

Azure devops keyvault

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Azure devops keyvault
Using Azure Key Vault Secrets from your Azure DevOps pipelines When working with Azure DevOps, there's a lot of options and configurations to tailor the service exactly to the needs of your
Azure devops keyvault
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Kabrinskiy Eduard
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Кабринский Эдуард - Visual studio devops - Eduard Kabrinskiy


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Azure DevOps CI CD using GitHub Repo and Visual Studio Azure SQL Database Project
Problem
In my previous article, Deploy SQL Database from Azure DevOps with an ARM Template and DACPAC File, I discussed how to deploy an Azure SQL Database using Azure DevOps CICD. However, this article does not cover the process of connecting to a source repo and then using this repo in the Azure DevOps CICD pipelines. How can we create and deploy a Visual Studio Database project to Azure SQL Database with Azure DevOps for CICD and a GitHub repository for source control?
Solution
There are a few source-control options within Visual Studio. GitHub is one of these source control options and offers a number of benefits including advanced security options. Integrating multiple applications such as Visual Studio, GitHub, Azure DevOps and Azure SQL Database for a seamless CICD process is a growing need for many enterprises that are on a journey to modernize their data and infrastructure platform.
In this article, I will demonstrate an end-to-end solution for the following architectural flow to deploy an AdventureWorksLT2019 database from Visual Studio to an Azure SQL Database through a GitHub repository and then deployed by both an Azure DevOps Build (CI) and Release (CD) Azure pipeline.

Pre-Requisites
1) Visual Studio 2019 with SSDT: See Visual Studio 2019 downloads and Download SQL Server Data Tools (SSDT) for Visual Studio.
Create a Visual Studio SQL Database Project
Let’s begin by creating a new SQL Database Project in Visual Studio 2019.

Next, configure and create the project.

Install Visual Studio GitHub Extension
Since this Visual Studio solution will be linked to a GitHub source control repo, install the following GitHub Extension.

Close Visual Studio to complete the GitHub Extension installation.

Import Adventure Works Database
Next, import the AdventureWorksLT2019 dacpac file. For more information on dacpac, see Data-tier applications.
AdventureWorks Sample databases can be downloaded and used for the import process. Notice that the databases are in .bak format and will need to be converted to .bacpac format.
For more information on converting .bak to .bacpac, See Import .BAK file to Azure SQL Database. In short, remember to restore the .bak file and then export it to .bacpac format.



Once the data-tier application is imported, the schemas will be listed as folders in the SQL Server Database project.

Ensure the database project target platform is set to Microsoft Azure SQL Database from the Database project properties GUI.

Connect to GitHub Repo Source Control
Now that the project had been imported and configured appropriately, add the solution to source control.

Connect to GitHub from Visual Studio.

A prompt will appear to authorize Visual Studio and GitHub to integrate together.

Check-In Visual Studio Solution to GitHub Repo
Now that the solution has been added to a GitHub Repo, click home and then sync to check in the solution to the GitHub Repo.

Publish the solution to the desired GitHub repo.

Verify that the solution has been checked into the selected GitHub Repo.

Install Azure Pipelines from GitHub
Now that we have integrated Azure GitHub with Visual Studio, it’s time to now install Azure pipelines from the GitHub Marketplace to integrate GitHub with Azure DevOps.

For more on Azure Pipelines, see What is Azure Pipelines?
Set up an Azure Pipelines Plan

See Pricing for AzureDevOps for more information on Azure pipelines pricing.
For this demo, I have selected the Free account which has the following free benefits.

Complete the order and begin the installation.


When prompted, select your Azure DevOps pipeline project and organization and click continue.

When prompted, Authorize the integration between Azure pipelines and GitHub.

Build CI Pipeline from GitHub Repo
We’re now ready to create a Build Continuous Integration pipeline from the GitHub Repo.
Use classic editor to create the build pipeline without yaml.

Note that there is also an option to create the pipeline with Yaml and will require yaml code. For more information on YAML, see YAML Tutorial: Everything You Need to Get Started in Minutes.
For this demo, I will only use the classic editor to create the pipeline.

Let’s start with empty job.

Next, select GitHub as the source. Also, select the repo.

Search for and Add the MSBuild task to the pipeline. This will build the Visual Studio solution. For more information, see MSBuild Task.

Verify the MSBuild Configurations.

Also, add the Copy files Task which will copy files to the artifact staging directory. For more information, see the Copy files Task.

Verify the configuration options.

Finally, add a Publish build artifacts task to publish the staging directory artifacts to Azure Pipelines. For more information, see Publish Build Artifact tasks.

Verify the publish build artifact configurations.

Click save and queue.

Verify the run pipeline parameters and click save and run.

Notice the build pipeline summary which contains details and status of job.

Confirm a successful job status once the Agent job completes.

Release CD Pipeline from DevOps Artifact Repo
Now that the build pipeline has been created and successfully deployed, its time to create a release pipeline.
Begin by adding a release pipeline artifact.

Select the build artifact and click add.

Add an empty job for stage

Verify the Stage properties.


Verify the Agent job details.

Add the Azure SQL Database deployment task which will deploy the Azure SQL Database using a DACPAC file. For more information, see Azure SQL Database Deployment task

Populate the necessary Azure SQL Database deployment parameters.

Click manage to connect to your Azure account.

Also, select the AdventureWorks2019LT dacpac file that was built and stored in the artifact drop directory from the previous build pipeline and click OK.

Proceed to create the new release.

Verify that the release pipeline succeeded.

Also, verify the Agent job steps.

Verify Deployed Azure SQL AdventureWorks Database
Lastly, log into the Azure SQL Database and verify that the AdventureWorksLT2019 database exists in the specified at deployment.
Visual studio devops

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In this article we demonstrate an end-to-end solution to deploy a database from Visual Studio to Azure SQL Database through GitHub and then deploy by an Azure DevOps Build and Release Azure pipeline.
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