10 docs tagged with "configuration"

Advanced configuration options for Digital.ai Release on Kubernetes, including custom site configurations, persistent volumes, external databases, and secret references.

Configure basic settings for Digital.ai Release on Kubernetes, including custom resource parameters, licensing, node selection, and resource sizing.

Configure and manage delivery patterns, stages, transitions, and tracked items in Digital.ai Release.

The configuration parameters for Release Runners are set or overridden using the configuration files, environment variables, or command line switches.

Runner metadata lets you associate infrastructure information with runners. This information helps operators identify where a runner is deployed and filter runners in the Runners page.

Folders provide an intuitive way to organize your templates, releases, workflows, configurations, and dashboards by project, team, or any other model that fits your organization. With folders, you can apply security settings to many assets at once using role-based access control at any level of your folder hierarchy.

You can control when tasks run in your release flow by setting preconditions. This helps you create more flexible releases that adapt to different conditions and skip unnecessary tasks, saving time and preventing errors.

Configure system-level settings for Digital.ai Release on Kubernetes, including JVM arguments, logging, autoscaling, and JDBC drivers.

Configure system-level settings in Digital.ai Release, including general settings, notifications, risk profiles, and SMTP configuration.

Dependent properties within the XML type-definitions enables dynamic user inputs that adapt based on user selections. This functionality is essential for tasks requiring context-specific input, ensuring that only relevant fields and options are presented, thereby enhancing the user experience.