12 docs tagged with "kubernetes"

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

This section describes how to install the Deploy application on Azure AKS.

This section describes how to install the Deploy application on GCP GKE.

This section describes how to install the Deploy application on Kubernetes On-premise platform.

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

This section provides an introduction to Kubernetes Operator as a custom installer to deploy Digital.ai Deploy.

This topic covers the Deploy Kubernetes (K8s) plugin, which supports creating and managing Kubernetes resources such as Namespaces, Pods, Deployments, ConfigMaps, Secrets, and more, using various authentication methods.

This topic explains how to manage plugins in the Operator environment for Deploy.

You can use the custom resource definition file (CR file) in case you want to change the Digital.ai Deploy's license on sites installed using the Operator-based installer.

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.