The goal of Daeploy is to make deployment of software, primarily focused around Machine Learning algorithms, quick and easy for anyone who can code a bit in python. Daeploy consists of three components. The Manager, the Software Development Kit (SDK) and the Command-Line Interface (CLI).
Daeploy is free to use and open source. It is licensed under [The GNU General Public license v3.0](https://www.gnu.org/licenses/gpl-3.0.html) and the source code is available on [github](https://github.com/vikinganalytics/daeploy) for anyone to view and modify. Please contact [firstname.lastname@example.org](mailto:email@example.com) if you are interested in the enterprise edition.
The Daeploy Manager is a program that is installed in the runtime environment of your applications. It could be a server in a factory, a virtual machine in the cloud or locally on your own computer. The manager packages your code into services (loosely coupled pieces of software) which can be communicated with using a HTTP-based REST API. A Manager HAS to be up and running to be able to deploy sevices using Daeploy.
The Software Development Kit
The SDK is used when writing the code that should run in the services. It is installed as a python package in the development environment. Daeploy strives to make the process of creating these services as simple as possible, so the developer can focus more on the solution and less on the deployment architecture. This is achieved by having an easy-to-learn and unintrusive syntax.
The Command-Line interface
The CLI is used as the connection between the developer and the manager. It is used to deploy (upload) the services you’ve written from your development environment to the deployment environment, monitor the health and status of your services, jumpstart new projects and more!
The image below shows the architecture of Daeploy and how all different parts interact with each other.
(click image to enlarge)