Analytical Applications
This topic describes how to use an ML workspace to create long-running web applications.
This feature gives data scientists a way to create ML web applications/dashboards and easily share them with other business stakeholders. Applications can range from single visualizations embedded in reports, to rich dashboard solutions such as Tableau. They can be interactive or non-interactive.
Applications stand alongside other existing forms of workloads in CML (sessions, jobs, experiments, models). Like all other workloads, applications must be created within the scope of a project. Each application is launched within its own isolated engine. Additionally, like models, engines launched for applications do not time out automatically. They will run as long as the web application needs to be accessible by any users and must be stopped manually when needed.
Testing applications before you deploy
Before you deploy an application using the steps described here, make sure your application has been thoroughly tested. You can use sessions to develop, test, and debug your applications. You can test web apps by embedding them in sessions as described here: https://docs.cloudera.com/machine-learning/cloud/projects/topics/ml-embedded-web-apps.html.
You can Stop, Restart, or Delete an application from the Applications page.
If you want to make changes to an existing application, click Overview under the application name. Then go to the Settings tab to make any changes and update the application.