Along with the framework update, our cloud hosting service and its dashboard have undergone significant enhancements. Our top priority is to support AI app development and boost its efficiency by 10x or even 100x. And, of course, we want what you create to be truly useful to your organization.

To achieve that, a secure and scalable hosting environment is essential. Let’s take a closer look at how it works.

Deploy with a Single Command and Share via URL

Once you’ve completed your Morph app, simply run the morph deploy command to deploy it to the cloud. Once deployment is complete, you can share your app via a URL with your team!

For more details on the deployment process, please refer to the documentation: https://docs.morph-data.io/docs/en/deploy/dashboard-setup

Private by Default

Morph cloud hosting is private by default—this is the biggest difference compared to other cloud hosting platforms. only by inviting users as team members through the dashboard can you grant them access to your deployed app.

Why Private?

Morph is a framework specifically designed for AI and data apps. This means your app is likely to access sensitive information such as LLM API secret keys or internal database connection details. If deployed publicly, even accidental crawling by bots could lead to a massive number of LLM API requests or queries to your data warehouse.

Manage Members via the Web App

You can manage which members have access directly through the web app. Since the entire deployment environment is secured, there’s no need to implement separate user authentication. Additionally, for managing project-level permissions, you can use a ‘project permissions’ field, accessible from within the framework.

Fully Public Deployments Are Also Possible

Of course, you can make your deployed app fully public if needed. This option is ideal when you want to showcase an AI app or share data analysis content with customers.

Deployment and Runtime Logs

Logs are collected during the app deployment process, allowing you to monitor whether the deployment succeeded. Additionally, you can view runtime logs after deployment.