Frequently asked questions
Any algorithm you want! It could be anything from a machine learning model to a basic control system. In fact, it could be any piece of source code you want. It is up to you, and that's the beauty of Daeploy!
No, Daeploy enters the project when a trained model already exists. Daeploy creates an application around the trained model and makes the model a part of the production-ready application.
Daeploy supports all major ML frameworks, for instance
And many more!
First of all, thank you for wanting to report the bug and improving Daeploy!
We have a public issue tracker on GitHub, please follow the instructions here.
Yes! The only requirement Daeploy has is docker and access to the docker daemon. If the server can run docker, Deaploy can run!
No! Daeploy works without internet access.
First, you need to pull the Daeploy Manager image from here from a computer with internet access. You then need to save the image as a tar file using docker save. The tar file can then be transferred to the wanted machine/server using SCP or a similar tool.
When the machine has the Daeploy Manager image, we recommend following our documentation for how to configure the manager for the production. You find the relevant documentation here.
Yes! You can use Daeploy to on any machine or virtual machine, be it on premise or on the cloud. Our only requirement is Docker and access to Docker daemon.