26 docs tagged with "applications"

Application Onboarding is a modernized control panel for Developers to enable efficient application onboarding in a hybrid or multi-cloud environments. With Digital.ai Release 23.1, we are bringing in new self-service workflows so that Developers can onboard their applications easier with minimum knowledge of tools. Newly introduced workflows guide users through step-by-step execution of tasks, reducing complexity in setting up environments. Application Onboarding leverages cloud benefits such as scalability, availability, and optimizing applications for the cloud for improved performance and reliability. It also helps ensure adherence to cloud security and compliance best practices.

Use the Applications feature to logically group applications in Release. You can manage applications both at the global and folder levels.

This topic explains how to use deployment attributes in Release to control and restrict what is deployed on environments.

The Live Deployments feature enables you to track deployments from various sources and embed them in your release process. Previously, only deployments that were started from a task in the release process were known in Release. You can now listen to deployment events from external tools like Digital.ai Deploy and ArgoCD and view live updates in Release. All the deployment activities are on the same page, whether it comes from cloud-native Kubernetes environments or classic middleware. Additionally, you can make the external deployments part of the release flow, even when they are not orchestrated by Release.

This topic describes how to create, run, and manage workflows.

The Live Deployments Discovery wizard allows you to create connections to ArgoCD or your server's Deploy applications. You can use this wizard to discover and onboard applications with ease.

You can reserve environments on a calendar. This feature is used to prevent resource conflicts, where multiple releases require the same environment.

Workflows are a combination of tasks that can be executed in an interactive session, with pre-built best practices. Once you have this setup in place, all you would be doing is to select the workflows from the self-service catalog and execute them in step-by-step view to interactively setup applications in Argo CD and Deploy.

Note: Live Status of Deployed Applications is a feature in Tech Preview—released in Digital.ai Release 22.3—enabled by default. You must disable this feature (using the feature flag) if you do not want to use it.

Workflows are bundled within the Release application itself, and are categorized into multiple types based on its use-cases. Additionally, you can also create new workflows and assign it to a specific category.

Before You Begin

The objective is to illustrate how to use the AWS Lambda create function using S3 zip file workflow in Digital.ai Release to create an AWS Lambda function using S3 zip file.

The objective is to illustrate how to use the AWS SecretsManager create secret workflow in Digital.ai Release to create secrets in AWS Secrets Manager, which can again be looked up and substituted across Digital.ai Release templates and workflows.

The objective is to illustrate how to use the Azure KeyVault create secret workflow in Digital.ai Release to create secrets in Azure KeyVault, which can again be looked up and substituted across Digital.ai Release templates and workflows.

The objective is to illustrate how to use the ArgoCD delete application workflow in Digital.ai Release to delete an application in Argo CD that runs in a Kubernetes cluster.

The objective is to illustrate how to use the AWS SecretsManager delete secret workflow in Digital.ai Release to delete secrets in AWS Secrets Manager.

The objective is to illustrate how to use the Azure KeyVault delete secret workflow in Digital.ai Release to delete secrets in Azure KeyVault.

The objective is to illustrate how to use the Helm install and uninstall application workflow in Digital.ai Release to install and uninstall the application using Helm.

Before You Begin

The objective is to illustrate how to use the List Azure Container Registry Images workflow in Digital.ai Release to list container images from the Azure container registry.

Before You Begin

The objective is to illustrate how to use the ArgoCD update application workflow in Digital.ai Release to update an application in Argo CD that runs in a Kubernetes cluster.

The objective is to illustrate how to use the AWS SecretsManager update secret workflow in Digital.ai Release to update secrets in AWS Secrets Manager, which can again be looked up and substituted across Digital.ai Release templates and workflows.

The objective is to illustrate how to use the Azure KeyVault update secret workflow in Digital.ai Release to update secrets in Azure KeyVault, which can again be looked up and substituted across Digital.ai Release templates and workflows.

Note: Workflows are bundled with the Release application by default. However, you must have the relevant plugins installed to view these workflows in the Workflows folder. For example, you must have the Deploy plugin installed in Release to view the workflows in the Workflows > Digital.ai Deploy folder.

With Digital.ai Release 23.3, we are bringing in new self-service workflows so that Developers can onboard their applications easier with minimum knowledge of tools. Newly introduced workflows guide users through step-by-step execution of tasks, reducing complexity in setting up environments. It leverages cloud benefits such as scalability, availability, and optimizing applications for the cloud for improved performance and reliability. It also helps ensure adherence to cloud security and compliance best practices.