Integrate Azure DevOps Data into Automated Tasks with Power Automate

Microsoft Power Automate is an online service that automates events (known as workflows) across the most common apps and services. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Azure DevOps data for visualizations, dashboards, and more. This article shows how to connect to Connect AI from Power Automate and integrate live Azure DevOps data into your workflows and tasks.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for Azure DevOps, allowing you to easily integrate with live Azure DevOps data in Power Automate — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Azure DevOps, leveraging server-side processing to quickly return Azure DevOps data.

Configure Azure DevOps Connectivity for Power Automate

Connectivity to Azure DevOps from Power Automate is made possible through CData Connect AI. To work with Azure DevOps data from Power Automate, we start by creating and configuring a Azure DevOps connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Azure DevOps" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Azure DevOps. You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.

   Obtaining a Personal Access Token

   A PersonalAccessToken is necessary for account authentication.

   To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.

   If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Azure DevOps Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Azure DevOps data from Power Automate.

Connecting to CData Connect AI

To use Connect AI to integrate Azure DevOps data into your Power Automate tasks, you need a new SQL Server connection:

1. Log in to Power Automate
2. Click Data -> Connections -> New connection
3. Select SQL Server 👁 Creating a new SQL Server Connection
   
4. In the connection wizard:
   
   
   • Choose to connect directly
   • Set SQL server name to tds.cdata.com,14333
   • Set SQL database name to the name of the Azure DevOps connection (e.g. AzureDevOps1)
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   • Click Create 👁 Connecting to Connect AI
     

Integrating Azure DevOps Data into Power Automate Tasks

With the connection to Connect AI configured, you are ready to integrate live Azure DevOps data into your Power Automate tasks.

1. Log in to Power Automate
2. Click My flows -> New flow and choose to create the flow from blank or template
3. Add (or configure) a SQL Server action (like Get rows) and configure the action to connect to your Connect AI connection
4. Select a Table to work with (from the drop-down menu) and configure any advanced options (like filters, orders, etc) 👁 Getting Azure DevOps "Rows"
   
5. Configure any actions to follow and test, then save the flow

SQL Access to Azure DevOps Data from Cloud Applications

Now you have a direct connection to live Azure DevOps data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating Azure DevOps data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

Related Power Automate Articles

This article explains how to use CData Connect AI with Power Automate (Online). Check out our other articles for more ways to work with Power Automate Desktop:

• Azure DevOps Data in Power Automate Desktop using CData Connect
• Azure DevOps Data in Power Automate Desktop via ODBC