Deploy an application to a self-managed Kubernetes cluster using IntelliJ IDEA-Cloud Plugin(Cloud Toolkit)-阿里云帮助中心

If you have a self-managed Kubernetes cluster, you can use Cloud Toolkit to quickly deploy applications. This topic describes how to use Cloud Toolkit in IntelliJ IDEA to deploy an application to your cluster.

Prerequisites

Cloud Toolkit is installed and configured. For more information, see Install and configure Cloud Toolkit in IntelliJ IDEA.
An image repository has been created in the Container Registry console, and an application has been created from an image. For more information, see Create an image repository and Create an application from an image.

Set up the Docker environment

In the IntelliJ IDEA toolbar, click Tools > Alibaba Cloud > Preferences....
In the Settings dialog box, choose Alibaba Cloud Toolkit > Docker in the navigation pane on the left.
On the Docker page, configure a local or remote Docker environment, and then click OK.
- Local Docker environment:
  - If your local operating system is macOS or Linux, select the Unix Socket check box, and then enter unix:///var/run/docker.sock in the Location
  - If your local operating system is Windows, select the TCP Connection check box, and then enter the URI of your local Docker environment in the URI text box, such as http://127.0.0.1:2375.
- Remote Docker environment: Select the TCP Connection check box, and enter the URI of the remote Docker environment in the URI text box, such as http://x.x.x.x:2375. Make sure that the HTTP service on the remote host is enabled.

Deploy an application to a self-managed Kubernetes cluster

Open your project in IntelliJ IDEA.
In the top menu bar of IntelliJ IDEA, choose Tools > Alibaba Cloud > Deploy to Registry/Kubernetes > Deploy to Kubernetes.

In the Deploy to Kubernetes dialog box, configure the following parameters.

On the Image tab, configure the Build Image and Image Repositories parameters.

Image tab.

Parameter	Description
Name	The name of the deployment. Use an English name.
Build Image	Context Directory: The context directory. Dockerfile: The Dockerfile. Version: The image version number.
Image Repositories	Select the region, namespace, and image repository of Container Registry. Alibaba Cloud Container Registry: an Alibaba Cloud image repository. For more information, see Deploy an application to ACR. Custom Container Registry: a self-managed image repository. For more information, see Deploy an application to another image repository.

Note Context Directory and Dockerfile parameters are typically detected and set automatically based on your local application project.

On the Container tab, configure the Kubernetes Type, Kubeconfig, Controller Type, Controller, and Container parameters.

Container tab.

Parameter	Description
Kubernetes Type	Select Custom Kubernetes to deploy the application to a self-managed Kubernetes cluster.
Kubeconfig	Select the custom deployment file.
Controller Type	Deployment: For stateless applications. StatefulSet: for a stateful application.
Controller	Select the region, namespace, and application.
Container	Select the container.

Click Apply, and then click Run.

Verify the result

When the deployment starts, logs are displayed in the Console area of IntelliJ IDEA. Check the logs to verify the deployment result.

If you have any questions while using Cloud Toolkit, contact us.