19 docs tagged with "cli"

This topic describes how CF CLI integration is used in the Digital.ai Deploy server.

This topic addresses how to resolve SSL handshake issues with Deploy when using a self-signed certificate by configuring a dedicated truststore for the command-line interface (CLI).

You can install the Deploy command-line interface (CLI) on any remote computer and connect to the Deploy server.

This topic describes how to use the Deploy command-line interface (CLI) to deploy an artifact from a Maven repository such as Artifactory or Nexus.

This topic covers using the discovery feature to automatically create an accurate model of your infrastructure in Deploy. During discovery, Deploy scans your middleware environment and creates configuration items (CIs) in the repository. Discovery is part of the Deploy plugin suite, and the exact discovery functionality available depends on the middleware platforms that are present in your environment.

This topic covers how Deploy manages multiple deployments simultaneously, each referred to as a task. Users can instruct Deploy to start, stop, or cancel a task. Once a task is completed or canceled, it is moved to the task archive, where Deploy stores its task history. You can query the task archive for tasks, examine the tasks steps and logs, or export the task archive to an XML file.

This topic covers the repository object in the Deploy command-line interface (CLI) allows you to export the Deploy repository tree to a ZIP file that can be imported into the same Deploy server or into another Deploy server. The ZIP file contains all configuration item (CI) properties, including artifact files.

You can use the Deploy command-line interface (CLI) to control and manage multiple features, such as discovering middleware topology, setting up environments, importing packages, and performing deployments. The CLI connects to the Deploy server using the standard HTTP/HTTPS protocol, so it can be used remotely without firewall issues.

This topic describes the system requirements, installation, and syntax for the XL Command Line Interface (XL CLI) used to support Digital.ai DevOps as Code and blueprints features.

This topic describes a method for identifying all instances of a deployed artifact, which is useful, for example, if a particular open-source library used by your application is found to be vulnerable.

You can manage values separately from your DevOps as Code YAML files so that they can be pulled in when applying XL YAML files. DevOps as Code supports multiple methods to configure and manage values including a dedicated file format using the .xlvals extension, environment variables or by explicitly specifying a value in XL CLI command syntax.

This topic provides information about the Deploy command-line interface (CLI) objects that you can use to interact with the Deploy server.

This topic describes the default permission settings in Deploy after installation. Initially, no permissions are granted to any user, except for administrator users, who have all permissions.

This topic provides instructions for starting the Deploy server.

You can follow deployment and release pipeline activities defined in your YAML files as they are executed by Deploy or Release using the output provided in the XL Command Line Interface (CLI).

This page describes common Deploy CLI errors and their solutions.

This topic provides an overview of the types that are available in the Deploy command-line interface (CLI).

This topic provides information on using the Deploy command-line interface (CLI) with configuration items (CIs).

The xl command line tool provides a fast and straightforward method for provisioning Digital.ai Release and Deploy servers using YAML files. The YAML files can include items such as releases, pipelines, applications, infrastructure, and target environments. In addition, the XL CLI is used for installing or upgrading Digital.ai Deploy and Release.