This topic provides a reference for the DevOps as Code YAML file structure for a blueprint. You can review the publicly-available blueprint files alongside the content in this topic to get a better understanding of how fields, values and options are specified.
Multiple blueprints can be composed into one master blueprint which specifies the deployment model for multiple included blueprints, by using includeBefore and includeAfter parameters. This allows you to scale your deployment and release models with any number of blueprints. During the implementation of a composed blueprint, the CLI will work through the blueprints in the sequence defined, merging the questions into a single list and applying any custom values that were defined in the composed blueprint. For more information on the YAML fields that enable composable blueprints, see IncludeBefore/IncludeAfter fields for composability.
Transitioning a microservice application to the Amazon Web Services (AWS) cloud infrastructure can be a daunting and complex task for a development team new to AWS. The Deploy/Release Blueprints for AWS can streamline the process of creating the AWS infrastructure, orchestrating the pipeline using Release, and deploying applications using Deploy.
The Azure Resource Manager (ARM) allows users to deploy applications to Azure using declarative JSON templates. In the DevOps as Code CLI, you can use the Basic ARM Template to run blueprints on the platforms hosted on Azure, by creating ARM templates. This can greatly simplify the process of provisioning resources from Deploy and Release in an Azure environment.
A blueprint guides you through a process that automatically generates YAML files for your applications and infrastructure. The blueprint asks a short series of questions about your application and the type of environment it requires, and the Digital.ai Command Line Interface (XL CLI) uses your answers to generate YAML files that define configuration items and releases, plus special files that manage sensitive data such as passwords.
Digital.ai offers blueprints to help you create declarative YAML files that simplify the infrastructure provisioning and application deployment process. You can use blueprints to get started with the cloud by following examples that show best practices for provisioning a cloud-based infrastructure and deploying your applications to it.
DevOps as Code provides developers and other technical users with an alternative way to interact with the Digital.ai release orchestration and deployment automation products using text-based specifications to define application artifacts, resource specifications and releases and a simple command line interface to execute them.
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.
A blueprint repository is a remote repository that contains templates and source code for blueprint functionality. Each time you run the XL CLI xl blueprint command, it fetches files from the blueprint repository.
You can specify and maintain global permissions, roles, and users for Deploy in YAML, enabling you to manage this aspect of your Deploy configuration "as code".
You can specify and maintain applications and environments in YAML, enabling you to manage these aspects of your Release configuration "as code". In the XL CLI, two flags allow you to manage applications and environments when using xl generate:
You can specify and maintain team permissions for Release folders in YAML, enabling you to manage this aspect of your Release configuration "as code".
You can specify and maintain global permissions, roles, and users for Release in YAML, enabling you to manage this aspect of your Release configuration "as code".
Release calculates a risk level for each release based on different factors such as flags, failed or failing states, or due dates. While the Release GUI enables you to manage risk profile setting and thresholds, you can also choose to manage your risk profiles for your releases using YAML specifications.
This tutorial is intended to help you get started with DevOps as Code in Release. It describes how to generate a DevOps as Code YAML file from an existing Release template and manage it in source control.
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.
DevOps as Code allows you to send source control information from the git repository in which a YAML template is maintained. This can be viewed in the Deploy or Release GUI, and helps to establish the relationship between the YAML files and your Release and Deploy instances, providing visibility into the specific file and commit from which a change was made.
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).
DevOps as Code is designed to work with any continuous integration tool that can run commands. By using specifications defined in the XL YAML format and a simple XL CLI utility to execute them, DevOps as Code offers a lightweight but powerful integration for deploying your applications using common CI tools.
This topic provides information about how to work with the YAML format for Deploy.
This topic provides information about how to work with the YAML format for Release.
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.