Learn how to configure DevOps Intelligence to retrieve data generated by Azure Pipeline Deploy, extending the single pane of glass DevOps Intelligence affords in your hybrid IT estate.
To enable effective data synchronization from Azure Pipeline Deploy into DevOps Intelligence, it's crucial to establish an adequately configured Azure DevOps connection. This connection is a secure bridge between the two platforms, allowing seamless data transfer and management. Establishing this connection enables DevOps Intelligence to leverage Azure Pipeline's robust capabilities, enhancing its monitoring and reporting features. This configuration enhances the accuracy and efficiency of data handling and amplifies the overall functionality of the KDevOps Intelligence tool.
Access rights
: The connection must have the following access right:
Pipeline Resources
: Use access right.
Build
: Read access right.
User profile
: Read access right.
Roles required
As a user, your permissions determine the actions you can perform on the bring-your-own (BYO) template data. You must view, create, update, and delete roles to perform the respective actions. By default, these permissions are granted to the
Editor
. The
Viewer
, on the other hand, is only endowed with the view role.
Configuration
You must choose the Project and Organization, Pipeline name, and add a Technical Service and additional configurations for customizations to establish the configuration. Extra settings are available to handle the states of
Passed
,
Failed
, and
In Progress
, which are terms employed in the DevOps Intelligence dashboards. You have the flexibility to introduce custom terms for these states. For instance, any value input under the
Passed
category will be interpreted as passed when displayed on the dashboard. Once you have made these selections complete the following steps to configure AWS CodePipeline:
Within Kyndryl application, select the overflow
Menu
button from the top left corner, navigate to
DevOps Intelligence
, and expand the menu.
Expand
Settings & Utilities,
then select
Tools Configuration.
Select
Add configuration +,
and a
Add tool configuration
form will be displayed; here, you will select:
Azure Pipeline - Deploy
from the
Tool Engine
dropdown menu
Select the
Connection
and
Provider
from the dropdown menu
Enter the
Release name
,
Environment
, and
Incident host URL
Select Yes or No on each following field if the configuration is for a production environment.
From each dropdown menu, select the
Technical service,
Organization
,
Project
, and
Pipeline name.
And you can fill in the
Additional configuration for customization
section at the bottom of the form if you would like to personalize it with custom terms for
Passed
,
Failed
, or
In progress
statuses.
Select the
Add configuration
button at the bottom of the form.
After completing the configuration, you can view the configuration details in the table on the configuration page. A sample image showcasing this is provided below for your reference.