Repository and architecture is still exploration mode. Registry for ML Model and Algotrader deployments.

# build docker images with a specific tag
./build.sh --tag transformer0.4.2 
# starting your docker compose file
docker-compose -f models/transformer-v1/compose.yaml up
# the application should run

By tagging the M7 and T1-Models git repository with git tag transformerV0.4.2 && git push --tags github actions are triggered to build and push the images to the registry.

# generate kubernetes ressources from docker compose
cd models/{model-name}
kompose convert -o ./kubernetes/
kubectl apply -f ./kubernetes/
# deleting from kubernetes
kubectl delete -f ./kubernetes/

# chose the right service name
kubectl port-forward svc/transformer-v1-tm 7001:7001

Create a token to login: kubectl -n kube-system create token admin-user To access Dashboard run: kubectl -n kubernetes-dashboard port-forward svc/kubernetes-dashboard-kong-proxy 8443:443 Dashboard will be available at: https://localhost:8443