datarevenue-berlin / OpenMLOps
Open MLOps is a set of open-source tools carefully chosen to ease user experience of conducting machine learning experiments and deploying machine learning models. Read our announcement blog post with more background here.
In this repository, we provide these applications as Terraform modules with which the user will be able to install them into a Kubernetes cluster. The tools we provide are the following:
With the Jupyter Hub, we enabled a multi-user environment in which each of them can spawn a Jupyter server to do their experiments. Users can work on different environments being able to install any library necessary to meet their needs.
We provide a default Jupyter server image that comes with most of the data science packages installed. Users can use their own Jupyter server images as well.
The proxy receives the requests from the client’s browser and forwards all requests to the Hub. In the JupyterHub docs you can find a more in-depth explanation.
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