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This article provides an overview of the administrative options in Promote (excluding user management, which can be found here).
Within the Admin Dashboard, an Admin user can view a list of all the models deployed to any environment by any user by clicking on the Models tab.
Within the Admin dashboard, an Admin user can monitor system health metrics for each node in the Promote cluster by clicking on the System Overview tab.
Within the Admin dashboard, an admin user can adjust several settings that affect the performance and behavior of the system by clicking on the Advanced tab.
An Admin user can change the base image used to deploy both R and Python models. An admin user may do this if they create a new image that has custom R or Python libraries available on it, or if they'd like to use a different version of R or Python.
Disk Bundle Limit
An admin user can change the disk bundle limit to protect the system against running out of disk space. The disk bundle limit limits the number of versions of a model that are stored on disk.
Promote can store logs for every prediction request made for up to 14 days, with a maximum of 50GB. You can toggle this logging on and off for Development/Staging and Production in this section.
We hope this gives you a good foundation for administering your Promote instance. Good luck, we're all counting on you.