📄️ Variables
Digital.ai Release uses variables to make your release templates more flexible and reusable. Variables allow you to parameterize your release processes, making it easier to manage dynamic content and configuration across different environments and scenarios.
📄️ Create Release Variables
Release variables are scope-specific configuration elements that help manage dynamic values within your release templates and instances. Unlike global variables, release variables are confined to the template or release where they are created.
📄️ Global Variables
Global variables enable centralized configuration management across your entire Release environment. Unlike release-specific variables, global variables are accessible from any template or release.
📄️ Variable Usage Example
This topic provides examples of how to create and use global, folder, and release variables in Digital.ai Release. Variables let you define dynamic values that can be reused across tasks, templates, and releases. This makes your release process more flexible, consistent, and easier to maintain.
📄️ Get a Value From a Map Variable
This topic demonstrates how to use a Jython Script task in Release to extract a value from a key-value map release variable and store it in another variable.
📄️ Share Global Variables With Configuration Objects
This topic explains how to define configuration objects in Release to store and manage settings used across multiple tasks. Examples include storing connection information for Jenkins, JIRA servers, or remote hosts for script execution.
📄️ Revise Jira Issue Lists With Variables
This tutorial will show you how to use the extended variable mechanism to create a release that retrieve a list a of issues from Atlassian JIRA, ask a user to revise the list, and update the issues in JIRA
📄️ Configure Folder Variables
You can use variables to manage information that you don't know in advance or that may change.
📄️ Map Task Output to Variables
Learn how to capture task output properties in Digital.ai Release, map them to variables, and reuse those variables in subsequent tasks for efficient pipeline management.