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.
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.
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.