The platform for Kubermatic Kubernetes is an open-source, production-grade, cluster-management tool. It allows for automation and flexibility in the integration of the lifecycle management of a cluster as well as the ML/DL workflow.
Before you deploy a model to your Kubernetes program, you need an installation of Docker and the creation of a container image of your model.
Containerization of the model includes the following steps:
Download and start Docker
Make a directory
Organize the dependencies and your code
Make a file for requirements. The .txt file should contain code to be run.
Make a Dockerfile for Docker to read, build and finally use to run the model
Build a Docker container and ensure that it is working
In Docker Hub, the upload model
Deploy the model to your Kubernetes cluster