Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about how to deploy EDAS Kubernetes clusters in Cloud Toolkit. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

1. Click the icon of Cloud Toolkit on IntelliJ IDEA, and select Deploy to EDAS-> EDAS for Kubernetes Application in the drop-down list.

2. Configure application deployment parameters in the Deploy to EDAS dialog box.

Note: if you have not already created an application on EDAS, click Create application on EDAS console in the upper right corner of the dialog box. Jump to the EDAS console to create an application

Configuration description

On the configuration page, select the Region, Namespace, and Application of the application according to your actual needs.

Region: the region where the application is located.

Namespace: the namespace in which the application is applied.

Application: application name.

Note: if the application is not available in the application list, see the application list can not get the application for operation troubleshooting.

Set the deployment method, and the optional deployment method is determined by how you deploy it for the first time in the console.

Maven Build: when you choose Maven Build to build an application, the system will add a Maven task by default to build the deployment package.

Upload File: when you choose Upload File to build an application, upload your WAR package or JAR package, and then deploy it.

Build Image: when you choose Build Image to build an application, you need to enter the working directory Content Directory, the file path Dockerfile, and the image tag Version.

Select Image: when you choose Build Image to build an application, you can select the image to be deployed in the drop-down list of Select Image.

Click Advanced to go to the Advanced deployment parameters Settings tab and configure parameters such as Application Environment, Startup Command, Environments, Persistence, Storage, and Appcalition Management.

The above is how to deploy EDAS Kubernetes clusters in Cloud Toolkit shared by Xiaobian. If you happen to have similar doubts, please refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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