10 docs tagged with "aws"

This topic outlines the AWS plugin for Deploy, which supports launching, managing, and configuring various AWS services.

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.

This how-to demonstrates how you can leverage the Digital.ai Deploy and Release applications' capabilities and deploy your application to the Amazon EKS test and prod namespaces.

This how-to demonstrates how you can leverage the Digital.ai Deploy application's DevOps as code capabilities and deploy applications to Amazon Web Services (AWS) using Terraform.

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.

This section describes how to install the Deploy application on Amazon EKS.

This section describes how to install the Deploy application on an OpenShift cluster on AWS.

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 section describes how to upgrade to the latest Kubernetes Operator-based Deploy solution on various Kubernetes platforms. The following upgrade scenarios are supported:

This topic explains how to configure the relevant database parameters in the daideploy_cr.yaml file if you plan to use an existing database that is not created by the default Operator-based installer.