13 docs tagged with "plugins"

Plugins for integrating Digital.ai Release with application lifecycle management and workflow automation tools.

Plugins for integrating Digital.ai Release with continuous integration and deployment tools.

Plugins for integrating Digital.ai Release with cloud platforms and container orchestration tools.

Connections are used to configure Release to integrate with third-party applications. Connections are integration credentials that store authentication information required for Release plugins to securely communicate with third-party applications.

Plugins for integrating Digital.ai Release with deployment orchestration and automation tools.

Extend Digital.ai Release with custom UI screens, REST endpoints, event listeners, and synthetic properties using Jython.

You can manage your Digital.ai Release plugins directly from the Digital.ai Release user interface. The plugin manager displays the list of installed plugins and their current version. With the plugin manager you can upload a new plugin or a new version of an installed plugin directly from the user interface.

The Digital.ai Release plugin manager displays the list of plugins on the filesystem or database and their current version. You can delete Digital.ai Release plugins with the plugin manager command-line interface (CLI) from the database or filesystem. It is also possible to add and update plugins with the plugin manager CLI.

This topic explains the new plugin management system introduced in Digital.ai Release 10.2.0. Once you upgrade your Digital.ai Release to 10.2.0 or higher version there is no more manually copying of plugin files. Everything is handled by Digital.ai Release GUI and internal API. Plugins are now being stored in the database as a central location to remove the manual manipulation of files across the cluster.

Plugins for integrating Digital.ai Release with software quality and testing tools.

Plugins for integrating Digital.ai Release with source code management platforms.

Plugins for integrating Digital.ai Release with security scanning, secrets management, and compliance tools.

The upcoming version of Digital.ai Release 24.1 or later requires upgrading to Java 17 as it is the next Long Term Support (LTS) version of the JDK. This ensures that Release has access to the latest Java functionalities and up-to-date security fixes.