Super simple sample for deploying BentoML images into Kubernetes

sync_bentoml_k8s.py

import os

def deploy_bentoml(model_name):
    """Deploys a BentoML from dockerhub into Kubernetes cluster"""

    # Open a template for BentoML deployments
    with open('bentoml_deploy.tpl', 'r') as fi:

        # Substitute the name of the model into template & save
        yaml_file = fi.read()
        yaml_file = yaml_file.replace('[VAR_MODULE_NAME]', model_name)
        yaml_file = yaml_file.replace('[VAR_IMAGE_URL]', f'nanomathias/{model_name}')
        with open('bentoml_deploy.yaml', 'w') as fo:
            fo.write(yaml_file)

        # Apply deployment to Kubernetes
        os.system('kubectl apply -f bentoml_deploy.yaml')