Modela is a Kubernetes-native machine learning platform with an emphasis on AutoML and MLOps. The Modela Operator supports deploying Modela and is designed to quickly bootstrap an operational installation.
The Modela Operator runs as a container on your Kubernetes cluster and provides logic for the Modela Custom Resource.
The resource defines the configuration for prerequisite components and Modela Tenants. Prerequisites include:
- Cert Manager
- PostgreSQL
- MinIO (Optional)
- NGINX Ingress Controller (Optional)
- Prometheus, Loki, Grafana (Optional)
You’ll need a Kubernetes cluster to run against. You can use Rancher Desktop, Docker Desktop, or KIND to run a cluster on your local machine.
- Install the Modela Operator
kubectl create -k "https://github.com/metaprov/modela-operator/config/default" - Apply the Modela Custom Resource
| Sample File | Installation Type |
|---|---|
| modela_base.yaml | Required prerequisites only |
| modela_full.yaml | Required and optional prerequisites |
| modela_nginx_ingress.yaml | Install & configure NGINX (recommended) |
kubectl create -f "https://raw.githubusercontent.com/metaprov/modela-operator/main/config/samples/modela_nginx_ingress.yaml" Once the Modela Custom Resource has been created the Modela Operator will install Modela in around 3-5 minutes. Once the installation is complete you will be able to access the Modela dashboard at http://modela-app.localhost. If you did not enable Ingress as part of the installation you will need to use the Modela CLI to access the dashboard.
The default access credentials after installation are as follows:
- Tenant Name -
modela - Account Name & Password -
admin
This project is licensed under the Apache-2.0 License.