- a minimal setup can run on your laptop using minikube (see the local deployment. Currently 16GB RAM with a modern CPU should be sufficient.
- if you have an account at a public cloud that provides Kubernetes as a service (AWS, GCP, Azure, ...), or have a Kubernetes cluster at hand, you can install the stack using our Helm template. (see GKE instructions)
In case you encounter an issue with FADI, have a feature request or any other question, feel free to open an issue.
FADI is the acronym for "Framework d'Analyse de Données Industrielles" ("A Framework for Industrial Data Analysis"))